docker jobs in San Diego

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.

SAIC seeks an experienced Sr Systems Administrator to manage Windows and Linux servers, Azure cloud services, M365, and on-premises infrastructure for a public sector client. The role requires hands-on administration of IaaS/PaaS services, Active Directory, Exchange, VMware, backup/recovery, and security—with 24/7 on-call rotation support.…See more The ideal candidate will have 5+ years of server administration experience, strong troubleshooting skills, and certifications in Azure or Windows Server administration.

Build and enhance features across a full-stack accounting platform using Angular, C#/.NET, and SQL Server. Design performant, scalable solutions from front-end SPAs to back-end services and distributed messaging systems; troubleshoot production issues; and collaborate with product, analysts, and engineers throughout the Agile delivery lifecycle.…See more Strong fundamentals in .NET, JavaScript/TypeScript, SQL Server, RabbitMQ, and CI/CD tooling required; experience with financial domain applications (accounting, payments, deposits) preferred.

Lead development of scalable SaaS features for clinical trial platforms, owning delivery from ideation through release. Architect high-complexity microservices and real-time data systems using TypeScript, Python, React, and Node.js, while mentoring engineers and establishing engineering best practices.…See more Design relational schemas and integrate with cloud platforms (Azure, AWS, GCP); AI/LLM integration is a plus. Requires 7+ years building distributed, multi-tenant software products.

Senior full-stack engineer responsible for end-to-end feature ownership spanning Django backend and React frontend. Design, build, and maintain Python/Django code and RESTful APIs, develop React components from UI/UX prototypes, manage PostgreSQL schemas, and ensure performance across the stack.…See more Work within containerized OCI-based workflows (Podman, Buildah, Skopeo) in Linux environments, write clean documented code, and participate in peer reviews.

Build and enhance an accounting platform as an intermediate software engineer at Axos Bank's Zenith business unit, working full-stack from Angular SPAs to C#/.NET services and SQL Server databases. You'll design, develop, test, and maintain features end-to-end, troubleshoot production issues across distributed systems (RabbitMQ, HTTP APIs), and collaborate with product owners and engineers throughout the Agile lifecycle.…See more The role requires strong fundamentals in .NET, C#, Angular, TypeScript, SQL Server, and system integration patterns, plus experience authoring unit and integration tests and building responsive single-page applications.

As Full Stack Engineer at Nucleus Biologics, you will develop and maintain software tools for scientists and manufacturing teams. Responsibilities include managing AWS infrastructure (EC2, RDS), maintaining Docker containers and Nginx, handling PostgreSQL schema and migrations, developing Python backends with FastAPI/Django/Flask, building React/TypeScript frontends, and resolving customer and internal issues.…See more You need strong production experience across the full stack: Python with modern web frameworks, React with current data-fetching patterns, PostgreSQL administration, and hands-on DevOps with Docker, Linux, and AWS.

Software Engineer responsible for scoping and defining requirements, designing and implementing solutions using modern programming languages and technology stacks, and ensuring quality through secure coding practices and testing. The role involves converting customer requirements into refined visions, developing software interfaces across network protocols, integrating components into complex environments, and supporting both lab and on-site customer testing.…See more Requires 3–5+ years of relevant experience, strong understanding of SDLC, object-oriented programming, distributed systems, algorithms, and data structures. Travel up to 10% required.

Senior Machine Learning Engineer responsible for architecting, designing, developing, and deploying on-device AI prototype software for edge computing applications. The role requires expert-level proficiency in C++ and Python, deep knowledge of ML frameworks like PyTorch, and hands-on experience with low-level system debugging, performance tuning, and native inference driver development.…See more You will work in a multi-disciplinary research team advancing generative AI technology for the edge, including model fine-tuning, hardware acceleration, model quantization, and edge inference. A strong theoretical background in deep learning combined with embedded software development experience and modern software engineering best practices is essential.

Design, deploy, and maintain enterprise Windows Server infrastructure with expertise in Active Directory, authentication systems (Kerberos, RADIUS, PKI), and DoD-compliant hardening (STIGs, CIS, Zero Trust). Develop Infrastructure-as-Code automation using PowerShell, Python, and Ansible across Windows and Linux environments, manage SCCM/MECM patch deployment and WSUS, and architect virtualized environments on KVM and EC2.…See more Mentor engineering teams on system integration, security, and cross-domain interoperability, and collaborate with cybersecurity, network, and Linux teams to solve complex enterprise deployment challenges.

SAIC seeks a Principal Cybersecurity Engineer to design, implement, and maintain secure identity, cryptographic, and network infrastructure for classified Navy DoD systems. The role involves planning and executing penetration tests and red team exercises against classified systems, performing network traffic analysis with Wireshark, architecting air-gap systems and data diodes, hardening IT and virtualized environments, and conducting vulnerability assessments aligned with DISA STIGs and DoD standards.…See more Required: 9+ years cybersecurity engineering, 5+ years hands-on experience in classified/high-security environments, proven penetration testing and red team experience, and deep knowledge of DoD/IC security frameworks (NIST RMF, DISA STIG, DoD CC SRG). Must hold an active TS/SCI clearance and be a U.S. citizen.

This role focuses on software integration, system validation, release quality, and deployment across embedded hardware and software stacks. The engineer will develop Embedded Linux drivers, middleware services for OTA updates and diagnostics, create CI/CD pipelines for embedded builds, automate deployments across HIL and vehicle environments, and design regression tests for firmware and CAN interfaces.…See more The position requires 3+ years in embedded systems, platform engineering, or DevOps, with hands-on Linux experience, C/C++ proficiency, and expertise in driver development, CAN bus integration, and structured test planning.

SHEIN is seeking a Senior Data Engineer to build and productionize GenAI/LLM solutions for data engineering workflows, including code assistance, metadata discovery, and knowledge access. The role focuses on developing RAG and agentic workflows, automating incident triage and log analysis, and integrating AI capabilities into internal developer tools and services.…See more You'll own scoped projects from problem definition through production support, requiring 3+ years of hands-on production experience with strong Python/SQL fundamentals, proven GenAI/LLM application development, and practical knowledge of databases, APIs, data pipelines, and distributed systems.

Software Engineer II providing on-site development for the Ship's Signal Exploitation Equipment (SSEE) Family of Systems. Responsibilities include refactoring legacy Java/JavaScript code, building modular and reusable code, orchestrating software branch integration, developing and integrating RESTful APIs, and researching new system features and improvements.…See more Requires 2+ years of software development experience in Java, Python, or Node.js, hands-on experience with CI/CD tools (Jenkins, Artifactory, SonarQube, BitBucket), and a DoD 8570-compliant security certification (SSCP or Security+ CE).

The SW Test Development Engineer 2 will design, develop, and maintain automated and manual test scripts for Dexcom's CGM software and data platform systems. You'll write API and UI tests, create verification and validation test plans, analyze failures with development teams, and contribute to release improvements.…See more The role requires 2–5 years of hands-on software or test development experience with Python or OOP languages, SQL/NoSQL databases, API testing frameworks (Robot framework), and cloud platforms (GCP/AWS); additional experience with Docker, Kubernetes, Kafka, BigQuery, and Airflow is highly valued. You'll mentor junior engineers and work cross-functionally in an Agile environment.

This Platform Engineer III role owns the full lifecycle of infrastructure automation, CI/CD pipelines, and system deployment in a DoD environment. You will manage Git-based repositories, design and execute deployment automation workflows, and support casualty reporting and operational response.…See more Responsibilities include Linux/Windows system configuration, virtualization (VMware, Hyper-V, Docker, Kubernetes), scripting/automation (Python, PowerShell, Bash, Ansible, Terraform), network troubleshooting, cybersecurity compliance (STIGs, RMF, ATO), and root-cause analysis across complex integrated systems. The role requires 6+ years of progressively responsible platform engineering, systems integration, or DevOps experience in DoD, enterprise, or test environments, plus a Secret-level security clearance.

Senior Engineer, Machine Learning at Element Biosciences will design, develop, and optimize deep learning models (CNNs, Vision Transformers, U-Net) for biological image analysis and deploy them to production on AWS or imaging instruments. Responsibilities include building end-to-end ML pipelines from data ingestion through inference, applying advanced image processing and computer vision techniques to multimodal biological images, and analyzing single-cell and multiomic data.…See more The role requires 5–7 years of experience with a Master's degree (or 0–3 years with a PhD) and hands-on proficiency in PyTorch, Python, and cloud deployment, with strong preference for experience in biomedical image modalities.

This DevOps Engineer role bridges software developers and systems administration teams at a fusion research facility, managing high-availability virtualization clusters, infrastructure-as-code automation, and CI/CD pipelines. Key responsibilities include Proxmox VE cluster management, Ansible-based infrastructure templating, patch lifecycle automation via Red Hat Satellite/Foreman, Docker containerization, and rapid-response security deployments to meet DOE compliance SLAs.…See more The position requires deep expertise in Linux system administration, configuration management, CI/CD tools, scripting (Bash, Python, JavaScript), and experience operating in regulated federal/research environments under NIST and DOE cybersecurity frameworks.

Senior Integration Test Engineer responsible for verifying, testing, troubleshooting, and debugging software that controls Unmanned Surface Vessels (USVs). 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, Docker, RHEL Linux, Agile processes, and experience with automation and root cause analysis.

Founding Product Engineer to build a greenfield physical AI product at Netradyne, working across full-stack infrastructure, product UX, and agentic AI features. You'll design multi-tenant cloud and edge systems on AWS with real-time dashboards, compliance analytics, and AI-powered agent orchestration for safety operations.…See more Expected to own end-to-end problems—from device to cloud to customer—with 7+ years of software engineering across backend (Go, Python, Java), cloud infrastructure (containers, CI/CD, distributed systems), and modern frontend (TypeScript/JavaScript). Direct customer collaboration and rapid iteration in the field required; fluency with AI-assisted development tools (Claude, Cursor) expected.

As a SW Test Development Engineer 2 at Dexcom, you will design, develop, and maintain automated and manual test scripts for CGM software systems, including API and UI testing. You will create verification and validation test plans, traceability matrices, and track issues while collaborating with development teams on root cause analysis.…See more The role requires 2–5 years of hands-on software test development experience with Python or other OOP languages, SQL/NoSQL databases, API testing frameworks (including Robot Framework), and cloud platforms (GCP/AWS). You will also mentor junior engineers and contribute to release process improvements.

Platform Engineer III will manage and automate software delivery using Git-based repositories, CI/CD pipelines, and configuration version control. The role involves supporting system integration, hardware/software troubleshooting, root cause analysis, and technical documentation across complex DoD and enterprise environments.…See more Requires 6+ years of hands-on experience with Linux, Windows, virtualization (VMware, Hyper-V, Docker, Kubernetes), scripting/automation tools, and network infrastructure. Must develop automation and repeatable processes using Python, PowerShell, Bash, Ansible, Terraform, and similar technologies, while maintaining compliance with cybersecurity standards and STIG requirements.

This cybersecurity engineer role focuses on securing cloud infrastructure (AWS, Azure, GCP), containerized environments (Docker, Kubernetes), and applications through vulnerability management, risk assessment, and security architecture review. The position requires hands-on experience with SIEM, EDR, WAF configuration, and embedding security scanning (SAST, DAST, SCA) into CI/CD pipelines.…See more The engineer will conduct threat modeling, manage IAM policies, perform penetration testing coordination, support incident response and post-incident reviews, and partner with engineering teams to balance security with delivery. The role also includes compliance support, vendor risk assessments, and serving in an on-call rotation for after-hours security incidents.

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architectural layers at Intuit. Architect and develop scalable, secure, maintainable applications using microservices, containers, and cloud platforms while proactively integrating AI technologies.…See more Mentor junior engineers on software engineering best practices, AI integration, and technical expertise. Launch AI integrations in production, evaluate impact using metrics, and stay abreast of industry best practices to solve critical customer problems.