Job Search Results for process engineer
Mar 16, 2026
Phoenix, AZ
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Software Engineering
|
Contract
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$27 - $34 (hourly estimate)
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Insight Global is seeking a Salesforce Engineer to support application design, development, and integration efforts within a dynamic Agile environment. This individual will be responsible for... building scalable solutions on the Salesforce platform, implementing integrations with external systems, and ensuring development best practices are consistently followed. The role involves analyzing business requirements, designing technical solutions, and executing implementations with minimal supervision. The ideal candidate is proactive, collaborative, and committed to delivering high-quality, reusable components while continuously improving system performance and development processes. Hybrid 3 days onsite (Tuesday - Thursday)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 26, 2026
Springfield, OR
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Telecom Analyst
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Contract
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$52 - $65 (hourly estimate)
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Insight Global is looking for a Lead Telecom Engineer. You will provide technical leadership and hands on expertise for our client?s enterprise Avaya voice and contact center platforms supporting... hospitals, clinics, call centers, and administrative operations. This role is responsible for architecture, stability, modernization, and operational excellence of Avaya systems in a 24/7 healthcare environment, while serving as the senior escalation point and technical mentor for telecom staff.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
Palo Alto, CA
|
QA
|
Contract,Perm Possible
|
$57 - $71 (hourly estimate)
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We are seeking a hands-on Integration Test Engineer to lead system integration and white-box testing for in-vehicle infotainment (IBI) systems. This role focuses on hardware/software integration,... troubleshooting, and validation of complex systems. If you love solving problems, have a knack for QA, and thrive in building integration frameworks from scratch, this is for you. Key Responsibilities:Perform white-box testing, validation, and verification of infotainment systems.Integrate hardware and software components; troubleshoot system-level issues.Work across multiple technology domains (automotive experience not required; aerospace/avionics backgrounds welcome).Debug, troubleshoot, and validate software builds, including vehicle-level testing.Collaborate with cross-functional teams to identify gaps and optimize integration strategies.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/.
Apr 15, 2026
Etobicoke, ON
|
Software Engineering
|
Contract
|
$52 - $65 (hourly estimate)
{"JobID":519426,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":0,"Longitude":0,"Distance":null},"State":"Ontario","Zip":"M8V 1","ReferenceID":"TOR-1aa44852-c362-4c3e-a5f7-58e14c47e8cd","PostedDate":"\/Date(1776287447000)\/","Description":"Insight Global is hiring a Senior Machine Learning Engineer to join one of our largest enterprise retail clients as they transform the future of digital commerce. This team is building next-generation AI and personalization capabilities that power millions of customer interactions across grocery, beauty, pharmacy, loyalty, and apparel.You?ll be part of a high-impact engineering group leveraging advanced machine learning, generative AI, and large-scale cloud infrastructure to redefine how customers discover and shop for products. This is an opportunity to work with massive datasets, cutting-edge technologies, and a team that is shaping the future of retail innovation.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":"Machine Learning Engineer","City":"Etobicoke","ExpirationDate":null,"PriorityOrder":0,"Requirements":"REQUIRED QUALIFICATIONSMaster?s or PhD in Computer Science, Machine Learning, or a related field.5+ years of experience in machine learning engineering, with a strong focus on GenAI-driven personalization.Expertise with GenAI frameworks (e.g., LangChain or LangGraph) and production-grade ML systems.Proven experience with GCP services and large-scale ML infrastructure.Strong proficiency in Python, SQL, and cloud-native development.Experience with Docker and Kubernetes.Demonstrated success deploying ML models to production at scale.PREFERRED QUALIFICATIONSExperience with multimodal deep learning architectures and generative AI models.Knowledge of modern recommendation system architectures (transformers, neural collaborative filtering).Experience building real-time inference systems.Familiarity with distributed computing frameworks (Spark) and big-data processing.Experience with Apache Airflow (Cloud Composer) and CI/CD pipelines.","Skills":"","Industry":"Software Engineering","Country":"Canada","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":65.0000,"SalaryLow":52.0000,"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)\/"}
Insight Global is hiring a Senior Machine Learning Engineer to join one of our largest enterprise retail clients as they transform the future of digital commerce. This team is building... next-generation AI and personalization capabilities that power millions of customer interactions across grocery, beauty, pharmacy, loyalty, and apparel.You?ll be part of a high-impact engineering group leveraging advanced machine learning, generative AI, and large-scale cloud infrastructure to redefine how customers discover and shop for products. This is an opportunity to work with massive datasets, cutting-edge technologies, and a team that is shaping the future of retail innovation.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 10, 2026
San Francisco, CA
|
Software Engineering
|
Contract
|
$30 - $37 (hourly estimate)
{"JobID":505075,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.39,"Longitude":37.78,"Distance":null},"State":"California","Zip":"94105","ReferenceID":"SJC-1d4643f5-2f0f-4644-8002-3e66cced02ba","PostedDate":"\/Date(1773183565000)\/","Description":"Insight Global is seeking a for a Backend Engineer with Kubernetes infrastructure knowledge to own the design, automation, and reliability of stateful workloads running on Azure AKS. This role focuses on building highly available, self-healing systems for databases and storage-backed services, eliminating manual intervention and ?snowflake? configurations while meeting 99.99% uptime targets.What You?ll Do-Own the full lifecycle of Kubernetes StatefulSets, including provisioning, scaling, upgrades, and graceful failover-Design and implement high-availability architectures using pod anti-affinity, topology spread constraints, and zonal resilience-Optimize and tune Azure persistent storage (Premium/Ultra Disks, Azure NetApp Files) via CSI drivers-Build and automate disaster recovery workflows, including snapshot, restore, and rapid state reconciliation-Provision and manage stateful infrastructure using Terraform and infrastructure-as-code best practices-Create observability and alerting for PV utilization, disk pressure, replication lag, and storage health-Ensure cluster upgrades and node rotations happen with zero manual data migrationPR: $37-$45/hrWe 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":"Backend Engineer- INTL- LATAM","City":"San Francisco","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-7+ Years of experience as a software engineer-2 years of experience hands-on with Kubernetes StatefulSets, PVCs, and CSI-Strong experience operating stateful services in production (e.g., Postgres, ClickHouse, Elasticsearch)-Cloud knowledge- Azure preferred-Experience automating infrastructure using Terraform-Strong scripting or development skills in Go, Python, or Bash","Skills":"-Experience building GitOps workflows for complex, ordered deployments-Background in custom controllers, operators, or lifecycle hooks (PreStop/PostStart)-Experience with disaster recovery testing, RTO/RPO optimization, and snapshot automation-Strong observability mindset (dashboards, alerts, SLOs for stateful systems)-Prior ownership of large-scale distributed systems on Kubernetes","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":37.0000,"SalaryLow":29.6000,"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)\/"}
Insight Global is seeking a for a Backend Engineer with Kubernetes infrastructure knowledge to own the design, automation, and reliability of stateful workloads running on Azure AKS. This role... focuses on building highly available, self-healing systems for databases and storage-backed services, eliminating manual intervention and ?snowflake? configurations while meeting 99.99% uptime targets.What You?ll Do-Own the full lifecycle of Kubernetes StatefulSets, including provisioning, scaling, upgrades, and graceful failover-Design and implement high-availability architectures using pod anti-affinity, topology spread constraints, and zonal resilience-Optimize and tune Azure persistent storage (Premium/Ultra Disks, Azure NetApp Files) via CSI drivers-Build and automate disaster recovery workflows, including snapshot, restore, and rapid state reconciliation-Provision and manage stateful infrastructure using Terraform and infrastructure-as-code best practices-Create observability and alerting for PV utilization, disk pressure, replication lag, and storage health-Ensure cluster upgrades and node rotations happen with zero manual data migrationPR: $37-$45/hrWe 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 24, 2026
Nashville, TN
|
Programmer / Developer
|
Contract-to-perm
|
$66 - $83 (hourly estimate)
{"JobID":510610,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-86.78,"Longitude":36.17,"Distance":null},"State":"Tennessee","Zip":"37217","ReferenceID":"HTN-414ebce3-9a2e-4ad7-bdf0-f2e7382cf827","PostedDate":"\/Date(1774387289000)\/","Description":"The Staff Agentic AI Engineer will provide crucial engineering leadership in the application of advanced Generative AI, supporting the revolutionization of healthcare by designing and implementing cutting-edge AI solutions. The Staff Agentic AI Engineer will be instrumental in developing systems that leverage Generative AI, particularly with GCP Vertex AI, Gemini, and related tooling, to create transformative products for users across the company\u0027s ecosystem. This role will focus on practical applications of AI, including Retrieval-Augmented Generation (RAG), the design of sophisticated grounding data structures, and the construction of robust pipelines for grounding and embedding.This position is within a flagship innovation team. The Staff Agentic AI Engineer should be a curious, adaptable, and forward-thinking engineer, comfortable navigating diverse technical ecosystems. The Staff Agentic AI Engineer will provide technical mentorship and foster a collaborative environment, translating complex AI concepts into actionable strategies for business stakeholders, product managers, and development teams.?Lead the design, development, and implementation of scalable, enterprise-grade Generative AI solutions on the Google Cloud Platform, with a strong focus on the Vertex AI suite.?Architect and build sophisticated Retrieval-Augmented Generation (RAG) systems to ground large language models in the company\u0027s proprietary and domain-specific data, ensuring response accuracy and relevance?Design and implement efficient data pipelines for preparing, processing, and embedding data for use in Vector Stores like Vertex AI Vector Search?Develop and apply innovative data grounding strategies and design the necessary data structures to connect LLMs with real-world, real-time information sources?Spearhead the exploration and implementation of Agentic AI concepts to create autonomous systems capable of complex reasoning and task execution.?Champion and integrate the Model Context Protocol to standardize communication between LLMs and external tools, enhancing system capabilities and interoperability.?Promote a collaborative team environment and work closely with colleagues to achieve business objectives.?Collaborate with stakeholders (e.g., business stakeholders, product owners, project managers, and end users) to understand functional and non-functional requirements for AI systems.?Lead investigations and solution proposals for complex development and design problems in the AI domain.?Guide team members in the scope of work estimation and forecasting for AI-related projects.?Perform proof-of-concept and proof-of-technology tasks to secure buy-in from cohorts and stakeholders for new AI initiatives.?Collaborate with team members to successfully execute development initiatives using Agile practices and principles.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 Agentic AI Software Engineer","City":"Nashville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?5-8 years of experience as a Software Developer or Engineer, moved into Solutions Architecture (Not Data Engineer) ?Recent 2-3 years understanding and practical experience in designing and building Agentic AI - Retrieval-Augmented Generation (RAG) architectures (NOT ML/Ops Models) ?Design, extend, and operationalize AI creation tools and intelligent agents leveraging advanced models. ?Secure, deploy, and productionize AI agents to ensure scalability, reliability, and compliance. ?Build or integrate Model Context Protocols (MCP) to support robust agent?model interactions. Develop agentic capabilities tailored to specific use cases, workflows, and functional requirements. ?Hands-on experience with Google Cloud Platform Vertex AI, or Azure AI Foundry, or Foundational Models?Experience building cloud-native solutions using serverless and/or container-based architecture?Full-stack working experience with Pyton, Java, csharp, Node.js, SQL/NoSQL database, ETL/data pipelines, messaging queues/event streaming, docker/Kubernetes, microservices ? Need at least 4 to proceed","Skills":"?Delivered Generative AI applications into production at scale in a customer-facing or enterprise environment?Built or supported data pipelines for embedding and vector stores?Designed and implemented Retrieval ? Augmented Generation Systems?Designed grounding strategies or data structure to connect LLMs with enterprise or real time information sources?Familiarity with Agentic AI concepts and frameworks (e.g., LangChain) for building autonomous and multi-agent systems","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":82.7600,"SalaryLow":66.2080,"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 Staff Agentic AI Engineer will provide crucial engineering leadership in the application of advanced Generative AI, supporting the revolutionization of healthcare by designing and implementing... cutting-edge AI solutions. The Staff Agentic AI Engineer will be instrumental in developing systems that leverage Generative AI, particularly with GCP Vertex AI, Gemini, and related tooling, to create transformative products for users across the company's ecosystem. This role will focus on practical applications of AI, including Retrieval-Augmented Generation (RAG), the design of sophisticated grounding data structures, and the construction of robust pipelines for grounding and embedding.This position is within a flagship innovation team. The Staff Agentic AI Engineer should be a curious, adaptable, and forward-thinking engineer, comfortable navigating diverse technical ecosystems. The Staff Agentic AI Engineer will provide technical mentorship and foster a collaborative environment, translating complex AI concepts into actionable strategies for business stakeholders, product managers, and development teams.?Lead the design, development, and implementation of scalable, enterprise-grade Generative AI solutions on the Google Cloud Platform, with a strong focus on the Vertex AI suite.?Architect and build sophisticated Retrieval-Augmented Generation (RAG) systems to ground large language models in the company's proprietary and domain-specific data, ensuring response accuracy and relevance?Design and implement efficient data pipelines for preparing, processing, and embedding data for use in Vector Stores like Vertex AI Vector Search?Develop and apply innovative data grounding strategies and design the necessary data structures to connect LLMs with real-world, real-time information sources?Spearhead the exploration and implementation of Agentic AI concepts to create autonomous systems capable of complex reasoning and task execution.?Champion and integrate the Model Context Protocol to standardize communication between LLMs and external tools, enhancing system capabilities and interoperability.?Promote a collaborative team environment and work closely with colleagues to achieve business objectives.?Collaborate with stakeholders (e.g., business stakeholders, product owners, project managers, and end users) to understand functional and non-functional requirements for AI systems.?Lead investigations and solution proposals for complex development and design problems in the AI domain.?Guide team members in the scope of work estimation and forecasting for AI-related projects.?Perform proof-of-concept and proof-of-technology tasks to secure buy-in from cohorts and stakeholders for new AI initiatives.?Collaborate with team members to successfully execute development initiatives using Agile practices and principles.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
Austin, TX
|
Software Engineering
|
Contract,Perm Possible
|
$46 - $58 (hourly estimate)
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Our Cloud Infrastructure Platform Engineering team plays a pivotal role in designing and deploying robust infrastructure solutions to support SAP products and services. We are an automation-first... organization, prioritizing the deployment of all our cloud resources via automation to enhance efficiency and consistency. Our engineers collaborate closely with internal product teams to deliver adaptable and scalable code that meets the requirements of our diverse clientele. We are looking for a junior engineer eager to grow their skills in configuration management using ansible, managing cloud infrastructure with terraform, and automating processes with CI/CD pipelines. Our client base spans local, state, and federal government agencies and private sector organizations supporting government missions.RESPONSIBILITIES:Execute and develop Ansible playbooks and roles to automate configuration, provisioning, and maintenance tasks across cloud environments.Support deployment and maintenance of infrastructure across cloud service providers by assisting with Terraform configurations under the guidance of senior engineers.Assist in building and maintaining CI/CD pipelines using GitLab, including writing and troubleshooting pipeline jobs.Deploy and support containerized services using Docker and/or Kubernetes.Contribute to standard operating procedures, knowledge base articles, and technical documentation for infrastructure processes.Apply a security-first mindset across all responsibilities, including Linux hardening and access control.Support monitoring, logging, and configuration management efforts in a multi-tenant cloud environment.Leverage generative AI tools to improve efficiency and consistency in day-to-day infrastructure tasks.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/.
Oct 15, 2025
Houston, TX
|
Software Engineering
|
Contract
|
$54 - $68 (hourly estimate)
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We are seeking a Senior MLOps Engineer to lead the architecture, deployment, and operationalization of machine learning solutions in Azure-based production environments. This role is designed for a... highly experienced engineer who can own end-to-end MLOps architecture, contribute immediately, and partner closely with data science, platform, and engineering teams.This position bridges model development and enterprise-scale deployment, with a strong emphasis on Azure infrastructure, MLOps best practices, and solution design.Key Responsibilities? Architect, deploy, and manage end-to-end MLOps solutions in Azure from development through production.? Design and maintain Azure-native ML infrastructure, including Azure ML, Azure DevOps, AKS, and related services.? Build and manage CI/CD pipelines for model training, validation, deployment, and monitoring.? Partner with data scientists to transform research models into scalable, production-ready services.? Develop and manage APIs and services to expose ML models across the organization.? Implement monitoring, retraining, versioning, and governance strategies for ML models.? Optimize compute (CPU/GPU), cost, and performance within Azure environments.? Ensure Linux-based systems and containers are optimized for ML workloads.? Provide architectural guidance and contribute quickly with minimal ramp-up.Based on knowledge and years of experience, this position offers an hourly pay rate of $65-80/hrWe 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/.
Apr 13, 2026
Murfreesboro, TN
|
Engineering (Non IT)
|
Perm
|
$70k - $95k (estimate)
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As a New Model Quality Engineer, you will be a key leader in ensuring the successful launch of new vehicle model. You will lead cross-functional teams to develop and implement comprehensive quality... plans, drive continuous improvement initiatives, and ensure the highest standards of quality are achieved throughout the APQP and new model development process.This is a customer facing role, where you will be the key contact point for customer quality team.Lead quality planning and assurance activities for new product and vehicle launches, ensuring compliance with customer, internal, and regulatory standards through all APQP phases.Drive new model launch execution, coordinating design reviews, prototype builds, pilot runs, and production ramp-up to ensure quality readiness.Conduct root cause analysis and implement corrective actions to resolve quality issues and prevent recurrence.Develop and maintain control plans, SOPs, KPIs, and inspection processes to ensure consistent product quality pre- and post-launch.Provide technical quality leadership to manufacturing, engineering, and suppliers; oversee data analysis and continuous improvement efforts.Represent the organization in internal, customer, and supplier audits; complete and sign off on ISR, PPAP, and PSW requirements while ensuring compliance with IATF 16949 and ISO 14001.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/.
Apr 06, 2026
Huntsville, AL
|
Computer Engineering
|
Contract
|
$54 - $68 (hourly estimate)
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An employer in the Huntsville area is hiring a Senior Cloud Engineer to support a MDA contract at Redstone Arsenal. This person will be performing administration of cloud and on-site technologies and... provides end-to-end solutions for IT Systems to support the programs overall mission to design and implement a Missile Defense System with multiple layers of protection. This person will also create and configure virtual and physical machines in a multi-platform environment, and Monitors system performance and addresses any issues through an effective support process.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/.