ci-cd jobs in San Diego

Senior Staff Engineer responsible for leading complex UxS/UAS systems integration across hardware, software, autonomy, and operational test environments. Will define readiness criteria and test coverage for hardware-based autonomy validation, troubleshoot unmanned systems (flight controllers, radios, sensors, ground stations), and drive reusable test practices and field guidance across engineering and operations teams.…See more Requires 10+ years hands-on experience in UxS systems integration, robotics, autonomy testing, or flight test, with strong practical knowledge of Linux, embedded systems, autopilot ecosystems (PX4, ArduPilot, MAVLink, Pixhawk), and scripting/data-analysis tools (Python, Bash, MATLAB). Must lead through influence across cross-functional teams and communicate technical findings to diverse audiences.

Lead the architecture and technical strategy for a next-generation Class III implantable medical device, owning software design across embedded firmware, mobile, web, and cloud infrastructure. Establish architecture frameworks, design principles, and coding standards while translating clinical, regulatory, and business requirements into IEC 62304–compliant, FDA PMA–ready solutions.…See more Drive technical decision-making, conduct architecture reviews, and mentor a software engineering team across multiple domains. Support FDA submissions, design control activities, and cybersecurity integration throughout the system.

Enterprise Data & Analytics Architect responsible for designing and maintaining SQL Server databases, developing ETL pipelines using SSIS or Azure Data Factory, and creating enterprise reporting solutions with SSRS and Power BI. The role requires 8+ years of database engineering in OLAP/OLTP environments, expert SQL Server knowledge, and experience migrating processes to Azure.…See more Candidates will oversee documentation, mentor developers, and stay current with data engineering, BI, and cloud computing trends while ensuring compliance with company and federal regulations.

Lead software testing for web applications and instrument systems, designing and executing both automated and manual test strategies with a focus on C# and TypeScript solutions. Build verification frameworks, integrate test suites into CI/CD pipelines using GitHub Actions, TeamCity, or Jenkins, and partner with developers to define test coverage.…See more Own quality metrics, identify risks, mentor junior engineers, and optimize automation solutions across assigned projects.

Sr Principal Software Engineer supporting development of strategic operating units with sustainment and modernization programs. The role requires expertise in safety-critical embedded real-time software development across multiple programming languages (C, C++, Python, PowerShell, Bash, KornShell) and Real-Time Operating Systems (VxWorks, Integrity, Real Time Embedded Linux).…See more Responsibilities include software design & development, test and integration, DevOps practices, and all phases of the development lifecycle for flight, mission, lab, and tools software. Must demonstrate proficiency with static/dynamic code analysis tools, CI/CD pipelines, change management, and Agile methodologies.

Lead enterprise IT systems engineering for Navy infrastructure modernization, architecting and securing Windows, Linux, and cloud server platforms across Active Directory, hybrid identity, virtualization, and Azure environments. Direct a team of IT systems engineers in deploying, optimizing, and troubleshooting mission-critical infrastructure while serving as on-site technical advisor to government clients on system architecture and modernization strategy.…See more Require 10+ years enterprise Windows Server experience, 3+ years technical leadership, expertise in AD/Entra hybrid identity, enterprise endpoint management (MCM/SCCM), and hyperconverged infrastructure, plus hands-on knowledge of PowerShell automation, Azure, and security hardening.

Software Engineer at Eli Lilly developing oncology applications that integrate laboratory systems, data pipelines, and enterprise platforms. The role requires 5+ years of software engineering experience and involves building AI-enabled capabilities, designing scalable APIs and web applications, deploying to AWS cloud infrastructure, and owning application reliability and lifecycle.…See more Key responsibilities include implementing data quality standards, contributing to CI/CD and containerization practices, mentoring junior engineers, and working directly with scientific and operational stakeholders.

Cloud Engineer III responsible for designing, deploying, and sustaining secure cloud solutions across AWS, Azure, AWS GovCloud, and Azure Government environments. The role requires expertise in cloud architecture, Infrastructure as Code, DevSecOps, containerization, and Kubernetes, with a focus on mission-critical defense applications.…See more Candidates must demonstrate strong cloud networking, identity, storage, compute, and security capabilities, and communicate technical decisions to cross-functional teams including engineers, operators, cybersecurity personnel, and government stakeholders.

Lead a medical-device iOS application as a senior engineer transitioning into engineering leadership. You'll own the architecture and technical direction of native Swift apps, device-to-cloud interfaces, and web services on GCP, while establishing CI/CD practices and collaborating with firmware and hardware teams.…See more The role requires proven experience shipping iOS/Swift products that integrate with medical devices and managing software end-to-end across mobile and backend platforms.

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.

BAE Systems seeks a Platform DevSecOps Engineer to lead infrastructure teams designing, implementing, and maintaining on-premises systems with focus on security, scalability, and reliability. The role centers on developing CI/CD pipelines, automating infrastructure provisioning using tools like Ansible, Puppet, or Chef, and implementing security best practices across cloud and air-gapped environments.…See more The engineer will troubleshoot production incidents, monitor system performance, and stay current with DevSecOps practices. Requires proven DevSecOps experience, ability to obtain TS/SCI clearance, hands-on Kubernetes/Docker containerization, scripting in Python/Bash/PowerShell, and Linux/Unix administration.

Bioinformatics QA role focused on designing and executing comprehensive testing, validation, and automation strategies for genomics pipelines and laboratory data platforms. Responsibilities include developing automated test suites in Python, validating NGS workflows (FASTQ, BAM, VCF), performing regression and data-validation testing, and collaborating with wet lab and dry lab teams to ensure scientific and technical correctness.…See more The role requires strong Python scripting, CI/CD pipeline experience, cloud platform familiarity (AWS/GCP/Azure), and working knowledge of genomics science fundamentals including sequencing concepts and LIMS integration.

Lead a team of embedded software and cryptographic engineers developing secure, low-power aerospace avionics and payload processing systems. Establish development standards and processes, guide secure software architecture for multi-core and FPGA-based platforms, manage embedded Linux and RTOS product development cycles, and mentor technical staff while collaborating across systems, hardware, FPGA, and test engineering disciplines.See more

Build and integrate agentic AI systems with physical laboratory automation platforms (Hamilton, Tecan, Opentrons) and LIMS infrastructure to autonomously design, run, and refine chemistry and biology experiments. Design multi-agent orchestration architectures with state management, error recovery, and tool integration; prototype agent planning strategies and memory systems; deploy containerized services on Kubernetes with GitOps and CI/CD.…See more Work hands-on with chemists, biologists, and automation engineers to transition prototypes into production lab operations that measurably accelerate the Design-Make-Test-Analyze cycle.

Own and evolve the software translation layer between high-level workflow logic and low-level laboratory instrument control, integrating liquid handlers, plate readers, robotic workstations, and analytical instruments. Deploy and maintain containerized services using Docker, Kubernetes, GitOps, and CI/CD practices, building scalable Python applications and data pipelines that connect experimental readouts with LIMS and downstream analysis tools.…See more Collaborate with the team to prototype AI-driven decision-making and autonomous orchestration in lab workflows, evaluating LLM tooling and agent frameworks for practical applicability. Serve as a technical authority and mentor, influencing the broader technical roadmap for autonomous discovery systems and helping grow the automation engineering team's capability.

Lead the development of autonomy software for advanced sensor systems and uncrewed platforms, integrating hardware and algorithms into robust, real-time fielded solutions. You will architect and implement C++ applications using modern software practices (CI/CD, TDD, open architecture), lead small engineering teams through system development and test cycles, and engage directly with Air Force, Navy, and DARPA customers to shape product direction.…See more The role requires converting higher-level algorithms (MATLAB) into production-grade, multi-threaded C++ for safety-critical, real-time embedded environments, supported by live testing and modeling-and-simulation infrastructure.

Lead a Palantir Forward Deployed Engineering team for the Government & Public Services practice, guiding architecture of data pipelines powering GenAI use cases. You will contribute production-quality code, enforce strong data management and CI/CD practices, and translate business problems into AI solutions while working with federal/state/local government clients.…See more The role requires 10+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir (Foundry, AIP, or Maven), with deep familiarity in AWS, Azure, and/or Google Cloud environments.

Staff Engineer role driving Generative AI transformation across embedded software and engineering infrastructure at Qualcomm. Responsible for executing GenAI workstreams—converting engineering use cases into production-ready AI-enabled workflows for code generation, review, debugging, test automation, and documentation.…See more Will build reusable agents, prompts, MCP integrations, and evaluation flows; partner with embedded, platform, and software teams to onboard and increase adoption of secure, measurable GenAI solutions. Requires 4+ years software engineering experience, 3+ years hands-on GenAI/LLM application development, and strong proficiency in Python, C, C++, or Go with embedded systems familiarity.

Lead a forward-deployed engineering pod (2–5 engineers) architecting and delivering LLM-enabled applications, copilots, and agentic workflows using enterprise AI platforms, particularly Microsoft Azure AI Foundry. Own end-to-end GenAI solution design—from RAG pipeline governance and prompt engineering to production deployment and quality evaluation—while mentoring junior engineers, enforcing delivery standards, and translating business problems into scalable AI systems.…See more Require 7+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment in production, and proven ability to lead technical workstreams in ambiguous, fast-paced client environments.

A forward-deployed engineer role at Deloitte's Government & Public Services practice focused on designing, building, and deploying GenAI/LLM-powered solutions on Databricks for federal and public-sector clients. The role requires 4+ years of software/data engineering experience, 2+ years hands-on with GenAI/LLM solutions in production, and 2+ years with Databricks platform technologies.…See more Responsibilities include delivering production-quality code with strong CI/CD and documentation practices, designing extensible functionality, leading project workstreams, and translating business problems into AI solutions while traveling approximately 50%.

Lead Qualcomm's GenAI transformation for embedded and software engineering, building reusable AI agents, agentic workflows, and developer productivity tools that scale across teams. Partner with platform and engineering teams to establish secure AI practices, governance models, and metrics while serving as a technical thought leader who shapes the organization's transition to AI-native engineering workflows.…See more Requires Principal-level technical leadership with deep expertise in generative AI, LLM-based systems, and hands-on experience deploying GenAI solutions in complex engineering environments. Collaborate on code generation, code review, test automation, and release readiness use cases while driving measurable productivity and quality improvements.

Senior Forward Deployed Engineer responsible for building and deploying production-grade AI solutions using frontier GenAI platforms (Claude, Gemini, GPT-4o) in client environments. Will lead end-to-end solution delivery, including architecture decisions, demo/POC development, and client enablement while mentoring junior engineers.…See more Requires 5+ years software/data engineering experience, 1+ years hands-on GenAI/LLM development, and demonstrated ability to translate business problems into scalable AI workflows with strong engineering practices (CI/CD, testing, documentation).

Design, build, and operate an enterprise Kubernetes platform at scale across Qualcomm, establishing organizational standards for cluster operations, GitOps workflows with Argo CD, and security policies using Kyverno and Cilium. Own platform reliability, observability (Datadog, Prometheus/Grafana), and cost efficiency while serving as technical authority for security governance and multi-cloud strategy.…See more Lead cross-organizational teams without direct authority, mentor staff engineers, drive technology evaluation across the CNCF landscape, and participate in on-call incident response including 24/7 coverage.

Senior iOS Software Engineer responsible for designing, developing, and delivering high-quality Swift-based iOS applications and SDKs for medical device products. Requires 5+ years of software development experience and 3+ years of iOS-specific development.…See more Responsibilities include implementing unit and UI tests, mentoring developers, ensuring software quality and architectural consistency, and collaborating with cross-functional teams (product, UX, QA, scrum) in an Agile environment. Must follow design assurance SOPs and support compliance with FDA and HIPAA regulations.

Lead the technical architecture and evolution of the ReActiv8 implantable medical device system across embedded firmware, mobile, web, and cloud infrastructure. Define software architecture strategies, translate clinical and regulatory requirements into compliant designs per IEC 62304 and FDA expectations, and establish coding standards and design principles for the engineering team.…See more Drive architecture reviews, design control activities, hazard analysis, and FDA regulatory submissions while mentoring software engineers across firmware, application, and cloud domains. Maintain development tools and practices including Azure DevOps, Git, and AI-assisted workflows in a regulated medical device context.