python jobs in San Diego

Sr. SQA Engineer will design, develop, and execute comprehensive test plans for thick-client C# applications, web applications, cloud applications, and bioinformatics pipelines.…See more Responsibilities include functional, regression, integration, and performance testing on software interfacing with hardware systems; automating test cases using tools like Selenium and NUnit; identifying and tracking defects in Azure DevOps; and collaborating with software, mechanical, electrical, and bioinformatics engineers. Requires 6–8 years of SQA experience, preferably with genomics pipelines and cloud applications; strong proficiency in Windows, Linux, and Azure; and expertise with test automation frameworks.

Site Reliability Engineer responsible for monitoring system health, detecting issues before they escalate, and owning incident response and debugging end-to-end. You'll build logging and observability tooling, automate deployment pipelines, manage capacity planning, and drive platform reliability at scale.…See more The role requires 5+ years in SRE/DevOps, hands-on production incident response, and strong communication during live troubleshooting. You'll work with AWS, Terraform, Datadog, Python/Bash scripting, and modern infrastructure-as-code practices.

Software engineer with 6+ years of backend development experience (or 4+ with a Master's degree) designing and optimizing high-performance algorithms for radar, optical, and infrared sensor systems. You'll work with a cross-disciplinary team to engineer scalable distributed systems, accelerate code on GPUs using CUDA, and integrate scientific codebases in Linux/Unix environments.…See more Strong expertise in C/C++, high-performance computing, MPI, parallel/distributed processing, and AI/ML algorithms is required, along with advanced mathematics or physics foundations and proven system-level problem-solving ability.

Senior Software Engineer supporting a DoD IT management contract in San Diego. Develop and maintain secure applications using Python and JavaScript, build REST/SOAP/GraphQL APIs, and work within containerized environments (Docker, Kubernetes, OpenShift).…See more Must implement DoD-compliant secure coding practices, DISA STIGs, and DevSecOps/CI/CD pipelines in an Agile/Scrum environment with a required active Secret clearance and IAT Level II certification.

Senior AI Engineer building AI-powered learning systems for Shield AI's Hivemind autonomy platform. The role involves developing an AI training coach for context-aware guidance, creating tooling to generate technical workshops and curricula from learning objectives, and partnering with autonomy experts to produce assessments and labs.…See more Success is measured by shipped learning products, reduced time to technical proficiency, and demonstrated improvement in customer capability and product adoption.

GALT Aerospace seeks a Systems Engineer, Integration and Test to support integration and testing of networked communication systems, with day-to-day responsibilities including developing test plans and procedures, configuring systems for prototypes, installing and maintaining Windows/Linux servers, managing DNS/Exchange/Active Directory, deploying network infrastructure (switches, firewalls, servers), and troubleshooting network problems. The role requires 4+ years in testing, networking, or IT; proficiency in Linux and Windows; knowledge of routing, switching, VLANs, IP subnetting, and DoD computer/radio systems; and understanding of automation and implementation.…See more Preferred qualifications include network security devices, event management systems, Tactical Data Link, military communications experience, Python/JavaScript scripting, containerization, Ansible, and Agile/Scrum methodologies.

The DevOps Engineer designs, implements, and maintains CI/CD infrastructure and automated deployment pipelines for cloud and hybrid environments, primarily using AWS GovCloud, Jenkins, and Atlassian tools. Responsibilities include AWS EC2 administration, infrastructure automation, build and test pipeline maintenance, DISA STIG compliance, and collaboration with development teams to improve software delivery.…See more The role requires proficiency in scripting languages (Bash, Python, PowerShell), version control (Git), static code analysis tools (Coverity, Fortify), and infrastructure-as-code concepts, with a background in operating systems (RHEL, Windows) and Agile methodologies.

As a Software Engineer at Qualcomm, you will design, develop, and validate embedded and cloud edge software, applications, and utility programs for cutting-edge products. You'll work on small software features including coding, unit testing, debugging, and integration, while collaborating with systems, hardware, and test engineers.…See more Responsibilities include analyzing user needs, performing code reviews, regression testing, and writing technical documentation. You will work under supervision in a role requiring knowledge of languages like C, C++, Java, or Python, database management, APIs, and source control systems.

This DevOps Engineer role focuses on building and scaling CI/CD infrastructure for a flight-software team at an aerospace robotics company. You will architect reproducible pipelines on AWS/GitHub, provision cloud and on-premise resources via Terraform, and develop internal tools and build systems to improve developer experience.…See more The role bridges embedded flight software with simulation, testing, and IT infrastructure, requiring 5+ years of DevOps or cloud infrastructure experience, strong CI/CD expertise (GitHub Actions preferred), Python/Bash scripting, Linux administration, and ideally familiarity with embedded systems challenges like cross-compilation and Hardware-in-the-Loop testing.

Design and develop secure provisioning and test software for Amazon's custom silicon, focusing on OTP/eFuse programming, cryptographic key injection, and debug-access flows. Own the full lifecycle from ATE integration with HSMs and secure provisioning systems through RMA debug validation, while architecting reusable test libraries and automation tooling.…See more Partner across ASIC design, DFT, security, and firmware teams to ensure devices meet security and manufacturability standards. Lead technical reviews, mentor engineers, and drive security best practices across the silicon test organization.

Senior Software Engineer responsible for designing and implementing user-facing web, PC, and mobile applications for TrellisWare's wireless communication products. The role involves enhancing wireless networking configuration and situational awareness tools, developing visualization techniques for large datasets, and optimizing client-server networking.…See more Requires 7+ years of UI application development experience and proficiency in ReactJS, Kotlin/React Native, or C# desktop frameworks, with knowledge of TCP/IP networking and asynchronous programming.

Software Developer III will design, develop, test, integrate, and deploy software for the Application Arsenal platform, translating user stories and operational requirements into secure, maintainable solutions. The role requires hands-on coding in languages like Python, Java, C#, Go, or C++; implementing modern architectural patterns (microservices, event-driven, serverless); and managing the complete software delivery lifecycle including CI/CD pipelines, automated security testing (SAST, DAST, SCA), and containerization.…See more The developer will support Kubernetes and cloud deployments, troubleshoot issues across laboratory and operational environments, and collaborate with systems engineers, cybersecurity teams, and government stakeholders. An active Top Secret or TS/SCI clearance with Tier 5 investigation, Security+ certification, and minimum 5 years of Agile software development experience are required.

Design, create, and implement production-grade AI/ML systems for Defense and Intelligence clients. You'll architect scalable machine learning solutions handling fast-moving data, deploy models across multiple data modalities using frameworks like TensorFlow and PyTorch, and integrate solutions into mission environments.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with ML frameworks and programming, and hands-on work in deep learning, computer vision, NLP, or signal processing.

The Software Test Engineer will author and execute manual and automated test cases in an agile environment, ensuring product requirements and quality standards are met before code merges. Responsibilities include developing testing tools and techniques, participating in design reviews, documenting bugs and test results, and collaborating with product owners and developers.…See more The role requires 4–8 years of experience, proficiency in scripting languages (Python, JavaScript), familiarity with automated testing tools, and a DoD 8570 security certification within 90 days of hire.

Senior Software Engineer responsible for designing and implementing user-facing web, PC, and mobile applications for TrellisWare's wireless communication products. You will enhance and maintain a suite of networking configuration and situational awareness tools, develop intuitive visualizations for large datasets, and optimize multi-server web requests.…See more The role requires proficiency in at least one modern UI technology stack (ReactJS, Kotlin/React Native, or C# desktop frameworks) plus familiarity with a second stack, strong TCP/IP networking knowledge, and asynchronous programming skills.

Senior Integration Test Engineer responsible for verifying, testing, troubleshooting, and debugging software that controls and monitors Unmanned Surface Vessels (USVs). Will develop and maintain automated test suites using Python and Selenium, design simulation programs, deploy Docker containers on RHEL systems, and perform hands-on integration testing both remotely and on-site.…See more Requires proficiency in Python, Bash scripting, Docker, Selenium, and Red Hat Linux, with experience in Agile development and a track record in software debugging and root cause analysis.

Staff-level machine learning software engineer responsible for designing, implementing, and optimizing ML software for embedded systems including mobile, edge, auto, and IoT products running on ARM, DSP, and GPU processors. Primary responsibilities include developing and optimizing ML kernels and frameworks (TensorFlow, PyTorch) for efficient hardware execution, implementing performance-critical software in C++/Python, and collaborating with hardware teams on joint design and optimization.…See more Will lead complex projects involving integration, testing, and tool development for embedded ML subsystems, coordinate cross-team dependencies, and contribute to design reviews and technical planning.

This role combines quality assurance expertise with geospatial analysis to test and validate GIS software against government specifications. Day-to-day responsibilities include creating and executing automated and manual tests, administering Esri Enterprise and PostgreSQL environments, performing SOCET GXP feature testing, and collaborating with developers to ensure defect-free deployments.…See more The engineer will design test plans, develop automation scripts, troubleshoot bugs, and verify compliance with intelligence community standards and industry best practices.

Lead the design, build, and operation of enterprise-scale Databricks Lakehouse platforms at Qualcomm, driving AI-native development, MLOps practices, and cloud modernization. This hands-on Staff IT Engineer role requires 4–5 years of Databricks experience and 8–12 years total IT background, with responsibility for platform architecture (Delta Lake, Unity Catalog, Workflows), machine learning enablement (MLflow, Mosaic AI), AIOps automation, and technical mentoring of engineers.…See more You will establish engineering standards, optimize platform performance and cost, implement observability and self-healing automation, and drive adoption of generative AI tools and intelligent automation across development teams.

Develop and execute automated testing strategies across the full product lifecycle, from requirements validation through production monitoring. Create automated test frameworks using tools like Cypress, Selenium, Jest, or TestNG; design synthetic data environments; and integrate quality gates and accessibility compliance audits into CI/CD pipelines.…See more Monitor live product performance using observability platforms (Datadog, Elastic Stack, Dynatrace, Splunk, New Relic) and conduct functional, regression, integration, security, and usability testing. Requires a Bachelor's degree in Computer Science or related field, one year of QA automation experience, Agile/Scrum certification, and proficiency in Python, Java, TypeScript, or JavaScript.

Lead the design, implementation, and scaling of CI/CD pipelines and DevOps infrastructure across Qualcomm's organization. Own source control management systems (GitLab, Perforce), build automation (Jenkins, GitLab CI/CD, GitHub Actions), and configuration management frameworks (Ansible, Chef).…See more Partner with firmware and platform teams on server stacks (Zephyr, OpenBMC, EDK2) while mentoring engineers and establishing DevOps best practices at organizational scale.

As a Forward Deployed Engineer IV in Applied AI at Google Cloud, you will lead end-to-end engineering for production conversational AI systems, transforming prototypes into scalable agentic workflows deployed at customer sites. You'll architect multi-agent systems using frameworks like ReAct, optimize RAG implementations, debug agent logic across microservices, and connect AI systems to enterprise infrastructure.…See more The role requires 8+ years of software development (Python or similar), experience with infrastructure-as-code (Terraform), cloud platform deployment (GCP), and hands-on full-stack application development. You'll travel up to 50% and work directly with customers to establish production AI journeys while identifying patterns that feed back into product improvements.

As a Security Engineer II on Deloitte's Cyber Defense & Resilience CTEM team, you'll support clients in identifying, prioritizing, and remediating security exposures across complex infrastructure, middleware, and applications. You'll execute vulnerability and patch management tasks, analyze exposure data and attack paths to guide remediation priorities, and prepare client-facing dashboards and status reports.…See more The role requires 3+ years in IT security or vulnerability/patch management, hands-on experience remediating vulnerabilities across Linux, Windows, and applications, and proficiency with patch management tools (BigFix, MECM, Red Hat Satellite, WSUS, Tenable, Rapid7, Qualys) and scripting/automation languages (PowerShell, Bash, Python, Ansible, Terraform, JSON). You'll also coordinate remediation activities via ServiceNow or similar ITSM platforms and travel up to 50%.

Senior Software Systems Engineer to own end-to-end software delivery for autonomous maritime vehicles, including release engineering, build pipelines, packaging, versioning, and deployment automation. Responsible for Infrastructure-as-Code (Terraform/CloudFormation), build/deployment pipeline maintenance (GitHub Actions, Jenkins), containerization (Docker, Kubernetes), and tooling that enables the engineering organization to ship reliably at scale.…See more Will act as integration point between vehicle software, cloud services, and third-party systems, and support production systems and active vehicle missions. Requires 8+ years in infrastructure, DevOps, or release engineering with strong Linux systems knowledge, cloud infrastructure experience, and proficiency in Python, Go, or Bash.

Design, build, and own backend services that ingest, process, and store real-time and historical vehicle telemetry at fleet scale for autonomous maritime vessels. Architect APIs exposing vehicle and mission data to internal tools and customer integrations, with focus on reliability and low latency.…See more Design data models and storage strategies for high-volume time-series and geospatial data, and improve scalability, observability, and reliability of existing backend systems as fleet size grows. Requires 8+ years backend engineering experience, strong proficiency in Python or Go, deep REST/streaming API design experience, relational database expertise (PostgreSQL preferred), and distributed systems knowledge.