Find Your Perfect Job

Job Search Results for AI engineer

Sort and Filter  | 154 Results for AI engineer  | Save This Search

Feb 20, 2026

Austin, TX

|

Software Engineering

|

Perm

|

$145k - $190k (estimate)

{"JobID":497865,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-97.74,"Longitude":30.26,"Distance":null},"State":"Texas","Zip":"78758","ReferenceID":"DGW-148bb37b-1899-472e-aa35-c0ae8ef99c2a","PostedDate":"\/Date(1771630112000)\/","Description":"The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function. This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset. Responsibilities- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.- Partner with operations, product, and engineering stakeholders to translate business workflows into reliable, automated data solutions.- Establish and follow analytics engineering standards, including modeling conventions, testing practices, and documentation.- Participate in technical design discussions, architecture reviews, and code reviews to ensure data quality and long-term scalability.- Troubleshoot and resolve complex data issues across ingestion, transformation, and reporting layers.- Optimize data tables and processing workloads for performance, scalability, and cost efficiency.- Support datasets enabling account prioritization, denial analysis, aging performance, and workflow automation.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Analytics Engineer","City":"Austin","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Experience with healthcare RCM data (claims, denials, payments, AR aging).- Familiarity with AR Follow-Up workflows or denial management processes.- Experience supporting automation, workflow optimization, or rule-based systems.- Exposure to ML feature engineering or AI-enabled analytics.- Experience in regulated or compliance-driven environments.","Skills":"- Bachelor?s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.- 5+ years of experience in analytics engineering, data engineering, or advanced BI roles.- Strong hands-on experience with dbt or similar ELT frameworks.- Experience with distributed data platforms such as Databricks, Spark, or equivalent.- Advanced SQL skills and experience working with large-scale data transformations.- Solid understanding of analytics engineering best practices, including automated testing, CI/CD, and data governance.- Strong communication skills and ability to work cross-functionally.- Interest in supporting AI, ML, or intelligent automation initiatives.","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":190000.0000,"SalaryLow":145000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function.... This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset. Responsibilities- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.- Partner with operations, product, and engineering stakeholders to translate business workflows into reliable, automated data solutions.- Establish and follow analytics engineering standards, including modeling conventions, testing practices, and documentation.- Participate in technical design discussions, architecture reviews, and code reviews to ensure data quality and long-term scalability.- Troubleshoot and resolve complex data issues across ingestion, transformation, and reporting layers.- Optimize data tables and processing workloads for performance, scalability, and cost efficiency.- Support datasets enabling account prioritization, denial analysis, aging performance, and workflow automation.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 21, 2026

San Jose, CA

|

Software Engineering

|

Perm

|

$145k - $190k (estimate)

{"JobID":497880,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-121.89,"Longitude":37.33,"Distance":null},"State":"California","Zip":"95113","ReferenceID":"DGW-daccb4aa-f73d-47ce-ada9-280aee2f1163","PostedDate":"\/Date(1771632510000)\/","Description":"The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function. This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset. Responsibilities- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.- Partner with operations, product, and engineering stakeholders to translate business workflows into reliable, automated data solutions.- Establish and follow analytics engineering standards, including modeling conventions, testing practices, and documentation.- Participate in technical design discussions, architecture reviews, and code reviews to ensure data quality and long-term scalability.- Troubleshoot and resolve complex data issues across ingestion, transformation, and reporting layers.- Optimize data tables and processing workloads for performance, scalability, and cost efficiency.- Support datasets enabling account prioritization, denial analysis, aging performance, and workflow automation.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Analytics Engineer","City":"San Jose","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Experience with healthcare RCM data (claims, denials, payments, AR aging).- Familiarity with AR Follow-Up workflows or denial management processes.- Experience supporting automation, workflow optimization, or rule-based systems.- Exposure to ML feature engineering or AI-enabled analytics.- Experience in regulated or compliance-driven environments.","Skills":"- Bachelor?s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.- 5+ years of experience in analytics engineering, data engineering, or advanced BI roles.- Strong hands-on experience with dbt or similar ELT frameworks.- Experience with distributed data platforms such as Databricks, Spark, or equivalent.- Advanced SQL skills and experience working with large-scale data transformations.- Solid understanding of analytics engineering best practices, including automated testing, CI/CD, and data governance.- Strong communication skills and ability to work cross-functionally.- Interest in supporting AI, ML, or intelligent automation initiatives.","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":190000.0000,"SalaryLow":145000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function.... This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset. Responsibilities- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.- Partner with operations, product, and engineering stakeholders to translate business workflows into reliable, automated data solutions.- Establish and follow analytics engineering standards, including modeling conventions, testing practices, and documentation.- Participate in technical design discussions, architecture reviews, and code reviews to ensure data quality and long-term scalability.- Troubleshoot and resolve complex data issues across ingestion, transformation, and reporting layers.- Optimize data tables and processing workloads for performance, scalability, and cost efficiency.- Support datasets enabling account prioritization, denial analysis, aging performance, and workflow automation.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 31, 2026

Raleigh, NC

|

Software Engineering

|

Contract-to-perm

|

$59 - $74 (hourly estimate)

{"JobID":513024,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-78.65,"Longitude":35.82,"Distance":null},"State":"North Carolina","Zip":"27606","ReferenceID":"RAL-e0cbaf98-5aef-4c5f-9da7-7b6ee168b056","PostedDate":"\/Date(1774965188000)\/","Description":"A large business solutions and anlytics company is seeking a Principal ML Engineer to join its team. This person will Construct, study and train algorithms that can learn fromcomplex, high dimensionality data in order to uncoverpatterns from which practical and usable predictive models and applications can be developed. They will use a varietyof techniques (e.g., random forests, deep learning, generative modeling, neural network memory) in order toimprove the predictive capability of individual natural language processing and/or machine perception algorithms. They will Architect, develop, and advise on end-to-end AI solutions ? leveraging LLMs, RAG, agentic systems, and cloud-scale infrastructure ? while guiding teams on best practices, ensuring production readiness, and aligning AI system design with business and technical goals.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal ML Engineer I","City":"Raleigh","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-Deep expertise in LLMs, RAG, agentic systems-Experience with MCP and vector databases-Background with cloud platforms (AWS/Azure/GCP)-Data engineering experience with knowledge of engineering best practices-Strong skills in Python, AI architecture, MLOps, and software","Skills":"-GoLang experience","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":74.0000,"SalaryLow":59.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A large business solutions and anlytics company is seeking a Principal ML Engineer to join its team. This person will Construct, study and train algorithms that can learn fromcomplex, high... dimensionality data in order to uncoverpatterns from which practical and usable predictive models and applications can be developed. They will use a varietyof techniques (e.g., random forests, deep learning, generative modeling, neural network memory) in order toimprove the predictive capability of individual natural language processing and/or machine perception algorithms. They will Architect, develop, and advise on end-to-end AI solutions ? leveraging LLMs, RAG, agentic systems, and cloud-scale infrastructure ? while guiding teams on best practices, ensuring production readiness, and aligning AI system design with business and technical goals.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 19, 2026

Hartford, CT

|

QA

|

Contract-to-perm

|

$50 - $62 (hourly estimate)

{"JobID":509053,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-72.7015,"Longitude":41.7694,"Distance":null},"State":"Connecticut","Zip":"06105","ReferenceID":"HTD-785886c1-4ce3-42cf-b3a8-33970166e3d0","PostedDate":"\/Date(1773951605000)\/","Description":"A healthcare client is looking for an Automation Engineer to sit Hybrid in a main company location. This team is responsible for API management platforms within the organization focusing on IBM stacks, data power and APIC. This person is going to be responsible for working with business partners and customers to design, develop automation solutions. These solutions are responsible for better operational efficiencies, streamlining existing processes and reducing human error.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Automation Engineer","City":"Hartford","ExpirationDate":null,"PriorityOrder":0,"Requirements":"3-5 years of experience working as an Automation Engineer utilizing Python and GitHub Actions Experience working in a microservices/integration organizations Experience with Infrastructure as code both on prem and in the cloud Experience implementing AI tools into an environment ? any AI platform","Skills":"APIC KongData power Cloud Pak","Industry":"QA","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":62.0000,"SalaryLow":49.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A healthcare client is looking for an Automation Engineer to sit Hybrid in a main company location. This team is responsible for API management platforms within the organization focusing on IBM... stacks, data power and APIC. This person is going to be responsible for working with business partners and customers to design, develop automation solutions. These solutions are responsible for better operational efficiencies, streamlining existing processes and reducing human error.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 27, 2026

Santa Clara, CA

|

Software Engineering

|

Perm

|

$140k - $190k (estimate)

{"JobID":512266,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-121.96,"Longitude":37.39,"Distance":null},"State":"California","Zip":"95054","ReferenceID":"SJC-00d8c9e0-47f7-4402-945b-3bb6797cad93","PostedDate":"\/Date(1774650033000)\/","Description":"A customer of Insight Global is seeking a Mobile SASE Software Test Engineer. The Quality Assurance team is responsible for ensuring all quality of the Versa\u0027s products before they are released to customers as well as upgrades. This person will be responsible for designing, developing and executing test plans for testing SASE clients on Windows, MacOS, iOS, Android and Linux. We are seeking a candidate who has a strong security, networking, and tunneling background. You will need to know how to test on each of these fronts. A strong candidate will know how to leverage AI tools for automation. Expected Salary is $140,000 - $190,000We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Mobile SASE Software Test Engineer","City":"Santa Clara","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Bachelors Degree2+ years of experience as a Software Test Engineer within Security Deep knowledge of Security (examples: URL filtering, DNS Filtering, Advanced threat detection, malware detection)2+ years of experience in Python and LinuxBasic TCP/IP network understanding2+ years of experience in designing and running tests for Security, Networking, and Tunneling. Experience with IPSec and SSL VPN of MAC, Android \u0026 IOS","Skills":"","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":190000.0000,"SalaryLow":140000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A customer of Insight Global is seeking a Mobile SASE Software Test Engineer. The Quality Assurance team is responsible for ensuring all quality of the Versa's products before they are released to... customers as well as upgrades. This person will be responsible for designing, developing and executing test plans for testing SASE clients on Windows, MacOS, iOS, Android and Linux. We are seeking a candidate who has a strong security, networking, and tunneling background. You will need to know how to test on each of these fronts. A strong candidate will know how to leverage AI tools for automation. Expected Salary is $140,000 - $190,000We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 10, 2025

Plano, TX

|

Computer Engineering

|

Contract-to-perm

|

$48 - $60 (hourly estimate)

{"JobID":419444,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-96.7382727272727,"Longitude":33.0523636363636,"Distance":null},"State":"Texas","Zip":"75074","ReferenceID":"FTW-5ddd7204-0117-4f32-9e8b-6335565a587f","PostedDate":"\/Date(1749547000000)\/","Description":"About the RoleWe are looking for a Senior SQL Engineer to lead the design and implementation of SQL-based solutions powering our critical applications and workflows. This role goes beyond writing SQL code - it\u0027s about defining standards, mentoring peers, owning architecture, and enabling productivity through AI, CI/CD, and automation.Responsibilities? Architect, develop, and optimize SQL Server solutions including stored procedures, ETL packages (SSIS), and schema designs.? Lead performance tuning, root cause analysis, and system-level SQL improvements.? Collaborate across business, QA, and infrastructure teams to define requirements and deliver end-to-end solutions.? Drive the adoption of CI/CD pipelines for SQL deployments using GitLab or similar tools.? Use VS Code, SSMS, and Visual Studio for scalable development and debugging.? Enforce Git workflows (e.g., feature branching, pull requests) and conduct peer code reviews.? Serve as a mentor to junior engineers and promote documentation best practices.? Champion the use of AI-assisted tooling (e.g., Copilot, ChatGPT) to drive efficiency, automation, and quality in development.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC \"Know Your Rights\" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .","Title":"Senior SQL Engineer","City":"Plano","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5-8+ years of experience with SQL Server, T-SQL, SSIS, and stored procedure development.? Proven expertise in performance tuning and data modeling.? Strong proficiency with VS Code, SSMS, Visual Studio, Git/GitLab, and Agile delivery.? Experience leading delivery of large-scale SQL/ETL solutions from requirements to deployment.? Familiarity with CI/CD pipelines, unit testing frameworks (e.g., tSQLt), and AI-driven coding tools.? Bachelor\u0027s degree in Computer Science, Information Systems, or related discipline.? Excellent communication, leadership, and mentoring abilities.","Skills":"? Cloud platform experience (Azure SQL, AWS RDS, etc.)? Dimensional modeling, OLAP/BI reporting backends? Knowledge of data privacy regulations (HIPAA, GDPR)","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":60.0000,"SalaryLow":48.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

About the RoleWe are looking for a Senior SQL Engineer to lead the design and implementation of SQL-based solutions powering our critical applications and workflows. This role goes beyond writing SQL... code - it's about defining standards, mentoring peers, owning architecture, and enabling productivity through AI, CI/CD, and automation.Responsibilities? Architect, develop, and optimize SQL Server solutions including stored procedures, ETL packages (SSIS), and schema designs.? Lead performance tuning, root cause analysis, and system-level SQL improvements.? Collaborate across business, QA, and infrastructure teams to define requirements and deliver end-to-end solutions.? Drive the adoption of CI/CD pipelines for SQL deployments using GitLab or similar tools.? Use VS Code, SSMS, and Visual Studio for scalable development and debugging.? Enforce Git workflows (e.g., feature branching, pull requests) and conduct peer code reviews.? Serve as a mentor to junior engineers and promote documentation best practices.? Champion the use of AI-assisted tooling (e.g., Copilot, ChatGPT) to drive efficiency, automation, and quality in development.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Mar 11, 2026

Irving, TX

|

Business Analysis

|

Contract

|

$38 - $48 (hourly estimate)

{"JobID":505418,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-96.96,"Longitude":32.85,"Distance":null},"State":"Texas","Zip":"75038","ReferenceID":"NNJ-92737469-bfa6-499c-b2a3-94e8a3f5d392","PostedDate":"\/Date(1773256047000)\/","Description":"Insight Global is looking for a BI engineering \u0026 analytics professional for one of our largest Telecom customers. This resource will partner closely with business stakeholders and data engineering teams to deliver actionable, customer-centric insights. The ideal candidate is highly proficient in SQL with a deep understanding of BI architecture, experience in data storytelling, working in a GCP/BigQuery environment, and familiar with visualization tools such as Qlik and Looker. The role supports a wide variety of projects throughout the year, with a strong focus on measuring customer experience and product performance KPIs?particularly evaluating the impact of new AI-driven tools across the customer journey. Acting in an advisory and consultative capacity, this individual translates business requirements into clear analytical solutions, ensures alignment with technical delivery, and proactively communicates limitations or measurement challenges. Success in this role requires strong stakeholder management skills, a business-first mindset, creative problem solving, and the ability to adapt quickly.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"BI Engineer","City":"Irving","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-5+ years of hands-on SQL expertise with a strong understanding of BI architecture-Proven ability to deliver high-impact data visualizations and business-driven storytelling (experience with Qlik and/or Looker)-Experience working in a GCP environment, specifically with BigQuery -Experience/familiarity with AI tools and the awareness of how to leverage said tools to work more efficiently (ex. Copilot)-Experience in a stakeholder/customer facing environment with the demonstrated ability to track/measure product performance, customer experience, and KPIs","Skills":"-Hands on experience with Python -Experience/familiarity with Hadoop or Hive","Industry":"Business Analysis","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":48.0000,"SalaryLow":38.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is looking for a BI engineering & analytics professional for one of our largest Telecom customers. This resource will partner closely with business stakeholders and data engineering... teams to deliver actionable, customer-centric insights. The ideal candidate is highly proficient in SQL with a deep understanding of BI architecture, experience in data storytelling, working in a GCP/BigQuery environment, and familiar with visualization tools such as Qlik and Looker. The role supports a wide variety of projects throughout the year, with a strong focus on measuring customer experience and product performance KPIs?particularly evaluating the impact of new AI-driven tools across the customer journey. Acting in an advisory and consultative capacity, this individual translates business requirements into clear analytical solutions, ensures alignment with technical delivery, and proactively communicates limitations or measurement challenges. Success in this role requires strong stakeholder management skills, a business-first mindset, creative problem solving, and the ability to adapt quickly.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 05, 2026

West Whiteland, PA

|

Software Engineering

|

Contract

|

$40 - $50 (hourly estimate)

{"JobID":503039,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-75.6,"Longitude":39.95,"Distance":null},"State":"Pennsylvania","Zip":"19380","ReferenceID":"KPD-1af5d7b0-1d22-450a-9fe6-760a0dada0eb","PostedDate":"\/Date(1772741348000)\/","Description":"We?re looking for a Junior?Mid Generative AI Engineer (typically 1?5 years of experience) with strong Python, solid computer science / computer engineering fundamentals, and hands-on experience building and deploying AI-enabled applications. You?ll partner with product, engineering, and data stakeholders to design, prototype, and productionize LLM-powered agentic workflow. This role is ideal for someone who enjoys shipping production software, writing clean code, and learning quickly in a rapidly evolving GenAI ecosystem?while applying disciplined engineering practices (testing, observability, security, performance).Key ResponsibilitiesBuild \u0026 Deliver GenAI Features? Implement and iterate on GenAI capabilities such as: Retrieval-Augmented Generation (RAG), semantic search, summarization, classification, and workflow automation? Design prompt strategies and guardrails (e.g., structured outputs, prompt templates, evaluation criteria)? Integrate LLMs into applications via APIs and frameworks (LangChain/LlamaIndex or Strands Agents, similar)Engineering Excellence \u0026 Software Craft? Write high-quality Python services and libraries with strong software fundamentals? Apply core CS concepts: data structures, algorithms, concurrency, networking, APIs, and system design? Create and maintain automated tests (unit/integration), CI/CD pipelines, and code reviewsAWS Cloud-Native Implementation? Build and deploy services using AWS-native components such as: Lambda, API Gateway, ECS/EKS, S3, DynamoDB/RDS, CloudWatch, IAM, KMS, SQS/SNS, Step Functions? Implement infrastructure using IaC (Terraform/ CloudFormation/ CDK preferred)? Support security and compliance patterns (least privilege IAM, encryption, secrets management)Use Modern Developer Productivity Tools? Use code-generation and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, IDE copilots) responsibly to improve delivery speed and quality? Understand limitations, validate generated code, and maintain secure coding practicesCollaboration \u0026 Stakeholder Engagement? Partner with senior engineers, architects, and product owners to refine requirements and deliver iteratively? Communicate trade-offs, document designs, and contribute to internal enablement (best practices, patterns, reusable components)We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Mid-Level GenAI Engineer","City":"West Whiteland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 1?5 years of professional experience in software engineering, ML engineering, or applied AI development? Strong Python proficiency (clean architecture, packaging, testing, performance basics)? Solid foundation in Computer Science / Computer Engineering fundamentals: OOP, algorithms/data structures, API design, and debugging? Experience building and integrating APIs (REST/GraphQL), handling authentication/authorization patterns? Hands-on experience with AWS and cloud-native development (at least several services in production or near-production)? Familiarity with LLMs / GenAI concepts and practical usage: Prompting, embeddings, vector search, RAG patterns, evaluation basics? Comfortable with Git workflows, CI/CD, and modern SDLC practices","Skills":"? Experience with AWS Bedrock or similar managed LLM platforms, or deploying models with SageMaker? Experience with vector databases/search: OpenSearch, pgvector, Pinecone, Weaviate, FAISS, etc.? Familiarity with security patterns for GenAI: data redaction, PII handling, prompt injection awareness, content filtering? Experience with containerization and orchestration: Docker, ECS/EKS, Kubernetes? Familiarity with observability tooling (metrics/logs/tracing) and performance tuning? Exposure to MLOps or model evaluation frameworks (e.g., offline test sets, regression suites, quality metrics)? Experience building internal developer platforms or productivity tools","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":50.0000,"SalaryLow":40.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We?re looking for a Junior?Mid Generative AI Engineer (typically 1?5 years of experience) with strong Python, solid computer science / computer engineering fundamentals, and hands-on experience... building and deploying AI-enabled applications. You?ll partner with product, engineering, and data stakeholders to design, prototype, and productionize LLM-powered agentic workflow. This role is ideal for someone who enjoys shipping production software, writing clean code, and learning quickly in a rapidly evolving GenAI ecosystem?while applying disciplined engineering practices (testing, observability, security, performance).Key ResponsibilitiesBuild & Deliver GenAI Features? Implement and iterate on GenAI capabilities such as: Retrieval-Augmented Generation (RAG), semantic search, summarization, classification, and workflow automation? Design prompt strategies and guardrails (e.g., structured outputs, prompt templates, evaluation criteria)? Integrate LLMs into applications via APIs and frameworks (LangChain/LlamaIndex or Strands Agents, similar)Engineering Excellence & Software Craft? Write high-quality Python services and libraries with strong software fundamentals? Apply core CS concepts: data structures, algorithms, concurrency, networking, APIs, and system design? Create and maintain automated tests (unit/integration), CI/CD pipelines, and code reviewsAWS Cloud-Native Implementation? Build and deploy services using AWS-native components such as: Lambda, API Gateway, ECS/EKS, S3, DynamoDB/RDS, CloudWatch, IAM, KMS, SQS/SNS, Step Functions? Implement infrastructure using IaC (Terraform/ CloudFormation/ CDK preferred)? Support security and compliance patterns (least privilege IAM, encryption, secrets management)Use Modern Developer Productivity Tools? Use code-generation and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, IDE copilots) responsibly to improve delivery speed and quality? Understand limitations, validate generated code, and maintain secure coding practicesCollaboration & Stakeholder Engagement? Partner with senior engineers, architects, and product owners to refine requirements and deliver iteratively? Communicate trade-offs, document designs, and contribute to internal enablement (best practices, patterns, reusable components)We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 18, 2026

Pittsburgh, PA

|

Programmer / Developer

|

Perm

|

$40k - $41k (estimate)

{"JobID":508149,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-79.97,"Longitude":40.43,"Distance":null},"State":"Pennsylvania","Zip":"15219","ReferenceID":"PIT-3500de46-6d94-4079-8039-d142a1ce9d5f","PostedDate":"\/Date(1773853974000)\/","Description":"As a Senior DevSecOps \u0026 MLOps Engineer, you will lead the design, automation, and governance of secure CI/CD and ML pipelines to enable reliable, scalable, and compliant software and AI delivery. You will partner closely with application development, data science, infrastructure, and security teams to build resilient runtime platforms, standardize deployment workflows, and embed security and observability across the full software and machine learning lifecycle.This role blends DevSecOps, platform engineering, and MLOps, with a strong emphasis on automation, security, and operational excellence.Key ResponsibilitiesDevSecOps \u0026 Platform EngineeringArchitect, implement, and maintain secure, scalable CI/CD pipelines for application and AI workloads.Define and enforce best practices for source control, release management, infrastructure-as-code, and information security.Analyze code repositories for security vulnerabilities and compliance issues, driving remediation strategies.Deploy, operate, and optimize containerized platforms using Docker and Kubernetes.Build and maintain secure, resilient runtime environments across SaaS, IaaS, and PaaS platforms.Collaborate with platform leads and third-party vendors to assess, test, and deploy upgrades and patches.Resolve complex environmental and deployment issues in partnership with external technical account managers.Automate infrastructure provisioning and configuration using Terraform, Ansible, and Azure Resource Manager (ARM).Plan and execute production deployments with minimal downtime using proven release strategies.MLOps \u0026 AI DeploymentSupport the full machine learning lifecycle, including model training, validation, deployment, monitoring, and retirement.Build and maintain ML pipelines with tools such as MLflow, Kubeflow, or equivalent frameworks.Manage model versioning, lifecycle management, and artifact traceability.Deploy ML models as production-grade APIs using REST or gRPC.Implement model serving solutions using FastAPI, TorchServe, KFServing, or similar frameworks.Design and operate batch and real-time inference pipelines.Implement canary and blue-green deployment strategies for ML models.Standardize AI deployment workflows by building reusable pipeline templates and enabling self-service for development and data science teams.Observability, Reliability \u0026 SecurityImplement observability for applications and AI systems, including logging, monitoring, and alerting.Monitor model performance, accuracy, and drift (data drift and concept drift).Enable AI observability by logging model inputs and outputs for traceability and auditability.Design and integrate feedback loops to continuously improve model performance.Secure ML pipelines and model endpoints, including authentication, authorization, and secrets management.Ensure proper handling of PII and sensitive data in AI workflows.Promote Responsible AI practices, including governance, auditability, and risk mitigation.Maintain awareness of prompt injection risks and security concerns for LLM-based systems.Collaboration \u0026 Ways of WorkingChampion secure development and operational best practices across engineering and data teams.Act as a trusted partner and advisor for DevSecOps, MLOps, and platform engineering initiatives.Actively participate in agile ceremonies, peer reviews, and knowledge-sharing activities.Produce and maintain high-quality documentation, including architecture diagrams, specifications, runbooks, and procedures.Provide responsive triage and resolution for issues across development, staging, and production environments.Foster open, professional communication across all levels of the organization.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. MLOps Engineer - INTL India","City":"Pittsburgh","ExpirationDate":null,"PriorityOrder":0,"Requirements":"10+ years of experience in DevSecOps, Platform Engineering, MLOps, or equivalent senior software engineering roles.Strong experience with CI/CD tooling (Git, Bitbucket, Jenkins).Expertise in Docker and Kubernetes and cloud-native architectures.Proficiency in Python, Bash, or PowerShell scripting.Hands-on experience with AWS, Azure, or Google Cloud Platform.Experience with Infrastructure as Code (Terraform, ARM) and configuration management (Ansible, Puppet, or Chef).Familiarity with code quality and security tools such as Veracode and SonarQube.Solid understanding of Linux, networking, and storage concepts (block, object, file).Knowledge of CNCF ecosystem tools, autoscaling strategies, and cloud observability.Working knowledge of SQL fundamentals and messaging systems (Kafka, RabbitMQ).Experience implementing monitoring and logging solutions for distributed systems.Bachelor?s degree in Computer Science, Information Technology, or a related field.","Skills":"Master?s degree in a related technical field.Experience with Jira, Confluence, or similar work and knowledge management tools.Deployment experience with ERP, CRM, WMS, or eCommerce platforms.Experience supporting LLM-based systems in production environments.","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":41000.0000,"SalaryLow":40000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

As a Senior DevSecOps & MLOps Engineer, you will lead the design, automation, and governance of secure CI/CD and ML pipelines to enable reliable, scalable, and compliant software and AI delivery. You... will partner closely with application development, data science, infrastructure, and security teams to build resilient runtime platforms, standardize deployment workflows, and embed security and observability across the full software and machine learning lifecycle.This role blends DevSecOps, platform engineering, and MLOps, with a strong emphasis on automation, security, and operational excellence.Key ResponsibilitiesDevSecOps & Platform EngineeringArchitect, implement, and maintain secure, scalable CI/CD pipelines for application and AI workloads.Define and enforce best practices for source control, release management, infrastructure-as-code, and information security.Analyze code repositories for security vulnerabilities and compliance issues, driving remediation strategies.Deploy, operate, and optimize containerized platforms using Docker and Kubernetes.Build and maintain secure, resilient runtime environments across SaaS, IaaS, and PaaS platforms.Collaborate with platform leads and third-party vendors to assess, test, and deploy upgrades and patches.Resolve complex environmental and deployment issues in partnership with external technical account managers.Automate infrastructure provisioning and configuration using Terraform, Ansible, and Azure Resource Manager (ARM).Plan and execute production deployments with minimal downtime using proven release strategies.MLOps & AI DeploymentSupport the full machine learning lifecycle, including model training, validation, deployment, monitoring, and retirement.Build and maintain ML pipelines with tools such as MLflow, Kubeflow, or equivalent frameworks.Manage model versioning, lifecycle management, and artifact traceability.Deploy ML models as production-grade APIs using REST or gRPC.Implement model serving solutions using FastAPI, TorchServe, KFServing, or similar frameworks.Design and operate batch and real-time inference pipelines.Implement canary and blue-green deployment strategies for ML models.Standardize AI deployment workflows by building reusable pipeline templates and enabling self-service for development and data science teams.Observability, Reliability & SecurityImplement observability for applications and AI systems, including logging, monitoring, and alerting.Monitor model performance, accuracy, and drift (data drift and concept drift).Enable AI observability by logging model inputs and outputs for traceability and auditability.Design and integrate feedback loops to continuously improve model performance.Secure ML pipelines and model endpoints, including authentication, authorization, and secrets management.Ensure proper handling of PII and sensitive data in AI workflows.Promote Responsible AI practices, including governance, auditability, and risk mitigation.Maintain awareness of prompt injection risks and security concerns for LLM-based systems.Collaboration & Ways of WorkingChampion secure development and operational best practices across engineering and data teams.Act as a trusted partner and advisor for DevSecOps, MLOps, and platform engineering initiatives.Actively participate in agile ceremonies, peer reviews, and knowledge-sharing activities.Produce and maintain high-quality documentation, including architecture diagrams, specifications, runbooks, and procedures.Provide responsive triage and resolution for issues across development, staging, and production environments.Foster open, professional communication across all levels of the organization.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 03, 2026

Santa Clara, CA

|

Software Engineering

|

Contract-to-perm

|

$99 - $124 (hourly estimate)

{"JobID":490017,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-121.96,"Longitude":37.39,"Distance":null},"State":"California","Zip":"95054","ReferenceID":"OCC-70e9f58e-ff69-4fe5-b340-210525abcadb","PostedDate":"\/Date(1770132862000)\/","Description":"This individual\u0027s day-to-day work centers around designing, reviewing, and refining detailed markdown-based specifications that define how the edge device software should behave in a large-scale data center environment. They will break those specifications into tasks, architecture components, and test plans, then use AI-assisted tools to generate initial code, ensuring they fully understand, validate, and correct the AI?s output before submitting final implementations. A significant part of the role involves working with high-rate telemetry data pipelines?supporting thousands of devices sending frequent data?and ensuring reliable, low-latency processing for both monitoring and 60 Hz control-level interactions with physical equipment. They will collaborate closely with other engineers across Santa Clara and remote teams to align frameworks, caching strategies, system behaviors, and integration points. Daily responsibilities include conducting thorough code reviews, troubleshooting complex issues on edge hardware, and ensuring everything built conforms to established human-in-the-loop safety workflows. Additionally, they will help refine architectural decisions as remaining system components are defined, contribute to sprint planning, and support rapid development toward upcoming demos.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Software Engineer","City":"Santa Clara","ExpirationDate":null,"PriorityOrder":0,"Requirements":"7+ years of professional software engineering experience (no juniors).Bachelor?s degree in Software Engineering, Computer Science, Computer Engineering, or equivalent.Deep hands-on edge device development experienceStrong experience with industrial IoT systems and Microsoft Azure IoT services (device-side focus).Demonstrated ability to design and optimize real-time telemetry pipelines capable of ingesting and processing high-volume, high-frequency data with low latency and high throughput.Strong experience building software for industrial IoT, embedded systems, and device-focused architectures.Strong debugging and performance tuning capabilities in distributed or device-level systems.Spec-Driven \u0026 AI- Assisted Development:Ability to write, review, and refine spec-driven documentation (markdown).Ability to translate specifications into architecture frameworks, components, tasks, and test plans.Comfortable using AI-assisted code generation and performing thorough reviews and corrections to AI-generated code.Ability to validate, understand, and ensure quality of AI-produced outputs.Strong capability conducting detailed code reviews for quality and architectural alignment.","Skills":"Prior experience in IoT, embedded systems, or edge computing companies or in industries with high-rate telemetry (oil \u0026 gas, grid services, large cloud telemetry systems).Familiarity with large-scale device deployments (10,000+ devices) ? ideal but not expected.Deeper-level expertise in industrial protocols.","Industry":"Software Engineering","Country":"US","Division":"AF\u0026E","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":124.0000,"SalaryLow":99.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

This individual's day-to-day work centers around designing, reviewing, and refining detailed markdown-based specifications that define how the edge device software should behave in a large-scale data... center environment. They will break those specifications into tasks, architecture components, and test plans, then use AI-assisted tools to generate initial code, ensuring they fully understand, validate, and correct the AI?s output before submitting final implementations. A significant part of the role involves working with high-rate telemetry data pipelines?supporting thousands of devices sending frequent data?and ensuring reliable, low-latency processing for both monitoring and 60 Hz control-level interactions with physical equipment. They will collaborate closely with other engineers across Santa Clara and remote teams to align frameworks, caching strategies, system behaviors, and integration points. Daily responsibilities include conducting thorough code reviews, troubleshooting complex issues on edge hardware, and ensuring everything built conforms to established human-in-the-loop safety workflows. Additionally, they will help refine architectural decisions as remaining system components are defined, contribute to sprint planning, and support rapid development toward upcoming demos.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

71 - 80 of 154