Job Search Results for python developer

We are looking for a Junior Performance Engineer with 3?5 years of hands-on experience in performance testing, monitoring, and analysis of modern applications. This role focuses on day-to-day... More performance engineering activities, working closely with Development, QA, DevOps, and Product teams to ensure scalability, stability, and reliability across multiple digital products.This is not an expert or architect role. We are looking for someone strong in fundamentals, curious, hands-on, and willing to grow while working across a portfolio of products, not just a single application.Key ResponsibilitiesPerformance Testing & ExecutionDesign and execute performance, load, stress, and endurance tests for web applications, REST APIs, and microservices-based systemsDevelop, maintain, and enhance performance test scripts using JMeterDefine realistic workload models based on business and usage patternsExecute performance tests across environments such as QA and Pre-ProductionPrepare and manage test data and coordinate with teams for environment readinessMonitoring & Performance AnalysisMonitor application and system performance using APM and observability tools such as Datadog, AppDynamics, Dynatrace, New Relic, or Azure MonitorAnalyze key performance indicators including:Response times (P90 / P95)Throughput and concurrencyError ratesCPU, memory, garbage collection, and database metricsIdentify performance bottlenecks and provide clear, actionable insights to engineering teamsCollaboration & ReportingWork closely with Developers, QA, DevOps, and Product teams to explain performance issues and recommendationsCreate performance test reports with meaningful metrics and observationsSupport root cause analysis (RCA) and validation of fixesActively participate in cross-team discussions and reviewsContinuous ImprovementContribute to improving performance testing frameworks, standards, and best practicesSupport integration of performance testing into CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)Assist in defining performance benchmarks, SLAs, and non-functional requirementsContinuously learn and adapt to new tools, technologies, and approaches in performance engineeringWe 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/.Less

We are seeking a Senior AI Platform Engineer to design, build, and operate scalable AI/ML platform infrastructure on AWS, with a strong emphasis on platform reliability, visibility, and... More observability.In this role, you will enable data scientists and application teams to safely deploy and operate AI workloads by providing resilient infrastructure, standardized tooling having deep operational insight across environments.This is a hands-on senior engineering role that blends cloud infrastructure, DevOpsSec principles, and AI platform enablement.ResponsibilitiesAI Platform & AWS InfrastructureDesign, build, and operate a cloud-native AI/ML platform on AWS supporting training, inference, and experimentation workloads, spanning orchestration layers, agents, MCP tools, internal APIs, and databases.Build and maintain core multi-tenant services that enable the development, testing, deployment, monitoring, and lifecycle management of LLM-based agents.Take AI prototypes to production-grade deployments with a strong ownership and self-starter mindset.Implement verification layers, citations, and security guardrails to ensure predictable and safe agent behavior, treating prompts as untrusted inputs and model outputs as unverified code requiring validation.Architect scalable, secure environments using AWS services such as EKS, ECS, EC2, S3, SageMaker, IAM, VPC, CloudWatch, Lambda, Bedrock, and related native tooling.Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or equivalent frameworks.Optimize platform performance, cost efficiency, reliability, and scalability.Champion best practices for MLOps, agent evaluation, and system observability.Observability & Platform VisibilityLead the design and implementation of end-to-end observability across AI platforms, including metrics (infrastructure, application, and ML-specific), centralized structured logging, and distributed tracing across service layers and model-serving paths.Define and maintain golden signals, SLIs/SLOs, and alerting strategies for AI workloads and platform components.Integrate observability tooling such as CloudWatch, OpenTelemetry, Prometheus, Grafana, Datadog, New Relic, or similar platforms, including support for agentic workflows and external-facing MCPs.Enable visibility into model performance, data drift, inference latency, error rates, and resource utilization, and help drive corrective actions.Reliability, Security & GovernanceApply DevOps best practices to improve platform reliability, resilience, and operational excellence.Partner closely with security and IT audit teams to deliver secure-by-default infrastructure, including IAM least-privilege access, network isolation, encryption, and compliance controls.Support enterprise governance, auditability, and regulatory compliance requirements for AI systems.Build guardrails that enable safe experimentation while ensuring secure and compliant production deployments.Routinely enforce and validate adherence to security and governance standards.Developer Enablement & CollaborationCreate reusable platform components, templates, and self-service tooling to accelerate adoption and reduce time to market.Collaborate with data science, ML engineering, and application teams to understand requirements and unblock platform adoption.Participate in on-call rotations and incident response, contributing to root cause analysis and continuous improvement.Provide technical leadership, architectural guidance, and mentorship to other engineers, raising the bar for AI engineering practices across the organization.Contribute to documentation, runbooks, and operational best practices.Stay current with emerging AI research and translate novel techniques into production-ready solutions.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/.Less

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... More 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/.Less

Insight Global is seeking a .NET Full Stack Engineer for one of their top property management clients. The primary focus is full-stack delivery in .NET while integrating AI agents and models that:... More analyze potential property acquisitions to improve pipeline quality, and review past deals, classify outcomes, and predict target deal profiles. This role will be primarily heads down coding with regular syncs with the team lead and project lead. Key ResponsibilitiesDesign, develop, and maintain .NET full-stack applications (back-end services and front-end UI) that power agentic workflows.Implement and orchestrate agentic AI models to:evaluate potential acquisitions and surface better opportunities, andreview historical deals against market/environmental context to recommend future targets.Leverage AI coding tools (e.g., GitHub Copilot, Claude Code) for code generation, refactoring, and review.Collaborate closely with the team lead and project lead; clarify assumptions, ask questions, and iterate quickly on design/approach.Produce reliable, maintainable code with thoughtful error handling, logging, and performance considerations.Participate in lightweight ceremonies (standups/check-ins) and contribute to sprint goals; minimal direct end-user requirements gathering.Pay ranges from 25-33/hr based on qualifications and years of experience.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/.Less

A client in the Lebanon, TN area is a leading innovator in the medical device industry, dedicated to improving patient outcomes through cutting-edge technology and rigorous research. Their R&D team... More is seeking a Senior Embedded Software Engineer to architect and deliver reliable, safety critical firmware for connected motor driven medical devices. In this on site Lebanon, TN role, you will design and implement C/C++ firmware on RTOS based microcontrollers, develop secure connectivity (BLE/Wi Fi) and high reliability communications (CAN, SPI/I?C), and lead motor control integrations that balance performance, responsiveness, and patient safety. You?ll collaborate cross functionally with Product Management, Mechanical, Electrical, Quality/Regulatory, and Manufacturing to translate clear requirements into verifiable designs, ensure end to end traceability, and support builds, V&V, submissions, and transfer to production. You will apply IEC 62304 practices and work within ISO 13485 and ISO 14971 to document architecture, risk controls, and evidence for EU MDR & FDA, while continuously improving code quality, tooling, and CI workflows. Successful candidates bring deep embedded expertise, rigorous test and debug skills, and the judgment to ship iteratively while maintaining compliance and reliability for users worldwideEssential Duties and Responsibilities:Responsibilities may include:?Design & implement embedded firmware in C/C++ for microcontroller-based systems leveraging RTOS for deterministic, safety critical operation.?Develop connectivity features (Bluetooth/BLE, Wi Fi) and robust communications (CAN bus, SPI/I?C) for multi-board, multi-sensor systems.?Own motor control firmware: integrate motor drivers/control circuits, implement control loops, and optimize performance, responsiveness, and safety.?Contribute to safety & compliance: apply IEC 62304 software lifecycle practices, support IEC 60601 electrical safety/EMC considerations, ISO 13485 QMS, and ISO 14971 risk management (hazard analysis, risk controls, traceability).?Document and trace requirements, architecture, design, risk controls, verification, and defects in Agile/Jira with end-to-end traceability.?Test rigorously: create unit and integration tests, bring up hardware, perform fault injection, and support verification/validation activities.?Tooling & automation: build developer tooling and scripts in Python; contribute to CI workflows; instrument firmware for diagnostics and telemetry.?Cross-functional collaboration: partner with Electrical, Systems, Quality/Regulatory, Manufacturing, and Field Service to support builds, audits, transfers to production, and post market improvements.?Regulatory support: prepare technical documentation and evidence for UL, FCC, and FDA submissions in collaboration with Regulatory Affairs and Quality.?Continuous improvement: drive code reviews, design reviews, and process improvements to enhance reliability, security, and developer productivity.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/.Less

An AI company is looking for an AI Solutions Manager for greenfield product development. They will be building industry-specific AI solutions (Healthcare, BFSI) from scratch. The goal is to create... More reusable frameworks that the company can coinvest in with pilot customers. This team is building a ?start up? within the company to be the AI brains of Perficient. They are hiring the smartest, most creative, ?out of the box? thinkers, and passionate AI individuals to join their ?incubator? team. This will be an ?incubator? filled with AI engineers, AI Product Managers, etc. that will research and brainstorm the latest and greatest AI technologies and services so that they can recommend what Perficient should go to market with. There will be a lot of brainstorming, prototyping, and fun conversations. Personality is KEY here. They will also be joining customer meetings as the technical POC to help solve customers? problems.The day to day will be 60% Hands-on Engineering: Building production-grade AI/ML pipelines and reusable frameworks, 20% Forward Deployed Engineering: Working directly with pilot customers to validate the solution and integrate real-world feedback, 20% Architecture & Strategy: Designing for scalability?turning a specific client solution into a reusable product. - Translate business goals into actionable engineering backlogs- Guide FDEs (Full-Stack Development Engineers) to execute the solution vision- Manage deployment strategy and define success criteria- Drive user adoption and oversee change management initiatives- Bridge communication between client stakeholders and engineering teams- Ensure engineering output is consistently aligned with business value- Accelerate adoption of agentic workflows across the organization- Enable a seamless transition from development to consumption- Maximize ROI from engineering resourcesWe 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/.Less

Day-to-Day Responsibilities? 50% ? Cloud operations & support? Supporting multiple AWS production accounts? Maintaining Terraform-based Infrastructure as Code? Supporting AWS services, pipelines, and... More deployed workloads? Performing updates and upgrades? 30% ? Net-new cloud development & architecture? Building new AWS infrastructure and services? Designing and improving cloud architectures? Partnering with Data Engineers on data workload migrations? 20% ? Optimization, monitoring & collaboration? Managing GitHub repositories and CI/CD pipelines? Monitoring with Datadog and CloudWatch? Applying FinOps practices for cost optimization? Guiding networking teams on hybrid connectivity and private linksKey Responsibilities- Cloud Infrastructure & DevOps? Support AWS production environments using Terraform? Build and maintain AWS pipelines and cloud services? Own deployed infrastructure end-to-end? Perform cloud updates, upgrades, and lifecycle management- Architecture & Cloud Enablement? Contribute to AWS cloud architecture design? Support net-new cloud development initiatives? Guide networking strategy with on-prem teams? Support limited Azure workloads as needed- Monitoring, Security & Operations? Monitor AWS environments using Datadog and CloudWatch? Partner with Security teams on cloud best practices? Support operational readiness and production stabilityParticipate in an on-call rotation including occasional off-hours supportCompensation: $130k to $150k, Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.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/.Less

A client of Insight Global is seeking a Software Intergrator to support a DOW program at Aberdeen Proving Ground (APG). The Software Developer will provide software support for laptops, desktops,... More system storage, and servers, including configuring hardware devices, testing new software, and designing network structures. Daily responsibilities include monitoring and developing system configurations within mixed environments?Windows, Linux, and containerized platforms?using tools such as Puppet, Ansible, and Kubernetes. The role involves reviewing logs and outputs for server errors, including Java, Ruby, and Python issues, as well as creating, modifying, and maintaining scripts in PowerShell, Bash, and Shell. Additionally, the developer will utilize containerization platforms such as Docker or Podman to support application deployment and management.$50/hr - $70/hr Exact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.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/.Less

The AI Engineer II will design, build, and deliver production-grade generative AI applicationsthat solve real business problems across innovation and pilot initiatives. This role is highlyhands-on... More and ownership-driven, with responsibility spanning concept, architecture,implementation, and production deployment.You will operate with a high degree of independence, acting as an end-to-end engineer whotranslates business needs into scalable GenAI solutions. The role emphasizes applicationengineering, system design, and enterprise readiness, rather than traditional data scienceor model training.Technologies of interest include (but are not limited to): large language models (LLMs),automation, cloud platforms, agentic workflows, solar PV, energy storage, transmission,and wind.Key Responsibilities? Design and deliver generative AI applications that address real operational andbusiness challenges, from concept through production? Translate business requirements into GenAI system architectures, selectingappropriate models, tools, and integration patterns? Build and maintain full-stack applications, including LLM-powered tools, internalplatforms, and APIs? Implement LLM integrations using approaches such as RAG, prompt engineering,tool calling, and API-based workflows? Balance rapid experimentation with enterprise-grade reliability, security, andgovernance? Apply DevOps best practices to support CI/CD, monitoring, and scalable clouddeployments? Collaborate with engineering, IT, and business stakeholders while owning technicalexecution independently? Evaluate and prototype emerging GenAI tools and platforms for potential businessimpact? Clearly communicate technical concepts, tradeoffs, and recommendations to nontechnicalstakeholders? Stay current with evolving GenAI capabilities, internal initiatives, and industry trendsPay Rate: $40-50hr depending on experienceWe 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/.Less

Insight Global is seeking an Application Security Engineer to join the team with one of our financial services clients located in New York City. This person will be responsible to:-Integrate and... More configure application security and observability tools, with heavy focus on SIEM and Contrast-type platforms-Partner with development teams to embed security scanning into GitLab CI/CD pipelines-Implement and manage SAST, DAST, and IAST tooling across applications-Drive vulnerability remediation, tracking findings from detection through resolution-Perform security assessments of APIs, microservices, and web applications-Build light security automation for integrations, monitoring, and incident response (Python/Java)-Configure and maintain SIEM use cases, security monitoring, and compliance reporting-Support cloud migration efforts by ensuring applications meet security standards-Develop and maintain security runbooks, standards, and best practices-Provide guidance on secure coding practices and application threat modeling-Collaborate closely with InfoSec, DevOps, and engineering teams to implement defense-in-depth strategies-Spend the majority of time on security integration and vulnerability management, with limited (10?15%) hands-on developmentWe 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/.Less