docker jobs in San Diego

Lead a technical engineering team at the intersection of AI, cybersecurity, and cloud platforms. Design and implement secure AI architectures, cloud security solutions, and DevSecOps practices while mentoring engineers and building reusable reference architectures and playbooks.…See more Require 6+ years of hands-on experience in software engineering, AI engineering, cybersecurity, or cloud security, with demonstrated proficiency in at least one major AI platform (Claude, OpenAI, Gemini, Bedrock, or Vertex AI) and cloud application development in Python, TypeScript, JavaScript, Go, or Java.

Senior SW Development Engineer on the Platform Service team will design and build low-latency, fault-tolerant cloud-based APIs and web applications for healthcare data delivery, customer onboarding, and hospital/partner integrations. You'll work full-stack across frontend and backend systems in a distributed, containerized environment, participate in technical design and architecture decisions, and support product teams in gathering requirements and resolving issues.…See more Expected skills include proficiency in languages like Java, Kotlin, TypeScript, or Scala; cloud platforms (AWS, Azure, GCP); modern auth frameworks (OAuth 2.0, OpenID, SAML); NoSQL and relational databases; Kubernetes and CI/CD pipelines; and comfort with on-call responsibilities.

Software Development Engineer 1 at Dexcom, building cloud-based APIs and reactive UIs for authentication, authorization, customer onboarding, and CGM data exchange. You'll work full-stack across frontend and backend systems using modern frameworks, collaborate with design and product teams in an Agile environment, and own development, testing, and deployment of cloud-hosted applications.…See more Required skills include proficiency in languages like Kotlin, Java, TypeScript, or Angular; cloud platforms (AWS, Azure, GCP); modern auth frameworks (OAuth 2.0, OpenID, SAML); and containerization/CI-CD tools (Kubernetes, Docker, GitHub Actions).

Design, develop, and maintain infrastructure-as-code and CI/CD pipelines using Terraform, Ansible, and GitLab to automate provisioning and deployments across environments. Perform systems analysis to document functions and define integration interfaces; manage Linux-based and Windows infrastructure including Active Directory, VMware, and container orchestration (Docker, Kubernetes, OpenShift, AWS EKS/ECS).…See more Maintain Jira tracking and participate in SAFe Agile ceremonies. Requires 10 years of software development experience, DevSecOps expertise, DoD 8570 IAT Level II certification, and ability to travel 25% including possible U.S. Navy ship deployments.

Engineer II will develop and maintain C++ and Python software for simulation adapters, plugins, and interfaces across multiple simulation frameworks (AFSIM, NGTS, Aechelon, HMSSimBlocks, HMSF). The role involves porting simulation features, integrating autonomy systems, implementing CIGI-based plugins, and supporting DDS communications and distributed systems.…See more Responsibilities include writing unit and integration tests, debugging complex simulation-autonomy interactions, and collaborating with cross-functional teams on framework improvements and reusable component patterns.

Lead a team of AI/ML engineers building autonomous medical coding solutions that process millions of clinical charts daily. Translate emerging advances in machine learning and LLMs into production-ready systems, define engineering strategy for ML/LLM-powered products at scale, and ensure systems meet stringent requirements for accuracy, reliability, privacy, security, and explainability.…See more Partner across data science, clinical, compliance, and software engineering teams to architect scalable inference pipelines, establish evaluation frameworks, and integrate AI capabilities into SaaS products. Requires 6+ years of AI/ML engineering experience, 2+ years leading technical teams, and hands-on expertise in production ML pipelines, LLMs, RAG, and MLOps platforms.

Engineer I will develop, test, and maintain C++ and Python software for simulation adapters, plugins, and interfaces across frameworks like AFSIM, NGTS, Aechelon, and HMSSimBlocks. Responsibilities include porting simulation features, supporting integrations with image generators via CIGI-based plugins, diagnosing autonomy and simulation issues, and writing unit and integration tests.…See more The role requires a BS in Computer Science or related discipline with foundational C++ and Python experience, Linux development familiarity, and understanding of networking, APIs, and software engineering practices.

Full-stack developer role supporting financial services clients in modernizing systems through distributed software applications. Responsibilities include analyzing business requirements, designing, developing, integrating, testing, and deploying cloud-native and microservices-based solutions across the entire project lifecycle using modern back-end (Java, Python, Node.js) and front-end (React, Angular) technologies.…See more Must demonstrate hands-on capabilities in REST APIs, CI/CD pipelines, cloud platforms (AWS, Azure), containerization, and agile/TDD methodologies, with willingness to travel up to 50%.

Staff Engineer role focused on architecting and developing full-stack applications with AI-native development at its core. Responsibilities include designing RESTful APIs, managing databases, and critically—directing AI coding agents (Claude, Cursor, Copilot) across the delivery lifecycle, including prompt engineering, agent workflow design, and tracing/debugging agent outputs.…See more Requires 8+ years with complex codebases, full-stack expertise (Java/Go/Python, React, REST APIs), and demonstrated proficiency using AI coding tools as a primary delivery vehicle, not just a helper.

Senior Full Stack Java Engineer responsible for designing and building microservices for workforce management (forecasting, scheduling, adherence, reporting) using Java/Spring Boot and REST APIs, while developing responsive TypeScript/React frontends. The role requires integrating WFM capabilities with ACD, HR, payroll, and enterprise platforms; modeling complex workforce data in PostgreSQL; containerizing services for cloud deployment; and maintaining CI/CD pipelines with Jenkins.…See more Requires 8+ years of full-stack experience, strong domain knowledge of workforce planning concepts, and proven ability to work with business rules engines, scheduling algorithms, and distributed event-driven architectures.

Seeking a Senior .NET Full-Stack Developer with 7+ years of hands-on experience across .NET technologies (C#, .NET Core, ASP.NET MVC, Web API, Entity Framework) and 5+ years of modern front-end development (Angular, React, or Vue.js). The role requires expertise in cloud platforms (Azure, AWS, or GCP), integration technologies (RESTful APIs, SOAP, microservices, message queues), and databases (SQL Server, MySQL, PostgreSQL, NoSQL).…See more This is a full-time, on-site position in San Diego focused on enterprise-level full-stack application development and deployment.

Fuse seeks an experienced early-career DevOps Engineer to design, build, and maintain mission-critical software deployment pipelines and infrastructure. You will own Jenkins and GitLab CI/CD pipelines, container orchestration (Podman/Docker), cloud tooling (AWS/Azure), and development tooling (SonarQube, Nexus, Ansible).…See more Responsibilities include performing code reviews, managing builds and deployments, troubleshooting integration issues, enforcing development processes, and recommending emerging DevOps tooling. The role requires 2–6 years of DevOps experience, 2+ years of hands-on C++, strong Linux knowledge, CI/CD pipeline expertise, and the ability to obtain a US Secret clearance.

Lead a full-stack engineering team building AI/ML products at Accenture's QuantAI practice, bridging research algorithms into production systems for trading, investment, and optimization use cases. You will manage engineers across frontend, backend, and ML infrastructure; define quality standards and evaluation frameworks; coach team members; and collaborate with quants and client teams to ship end-to-end products.…See more The role requires 5+ years of shipped software experience, 2+ years of hands-on full-stack depth (frontend, backend, databases, deployment, debugging), and ideally deep experience designing LLM/agentic systems or working in high-stakes decision-support domains.

Senior full-stack .NET developer role requiring 7+ years of hands-on experience with C#, .NET Core, ASP.NET MVC, Web API, and Entity Framework, plus 5+ years of modern front-end development with Angular, React, or Vue.js. The role demands expertise in cloud platforms (Azure, AWS, GCP), integration technologies (REST APIs, SOAP, microservices, message queues), and containerization (Docker, Kubernetes).…See more Responsibilities include full-stack development, cloud-based application deployment, CI/CD pipeline work, and enterprise-level system integrations on an on-site basis in San Diego.

Serve as a forward-deployed technical engineer for banking clients, acting as the primary technical point of contact and architect advisor. Design and prototype scalable microservices and cloud-native solutions, conduct discovery sessions and deep-dive technical workshops, and build production-ready POCs that demonstrate platform value.…See more Translate complex architectures and emerging AI/ML patterns into clear guidance for both technical and non-technical stakeholders, while gathering customer feedback to inform product strategy. Requires 5+ years of software engineering with significant client-facing experience, deep expertise in Java, Spring Boot, microservices architecture, multi-cloud deployment (AWS primary), Kafka-based event-driven systems, and hands-on knowledge of LLM integration and agentic AI frameworks.

Senior DevSecOps Engineer supporting U.S. Navy modernization efforts to build, test, and deploy microservices on container orchestration platforms.…See more You will design and maintain CI/CD pipelines, automate infrastructure, support containerized platforms in secure environments, and collaborate with software and cyber engineers to solve delivery problems. Requires 8+ years of experience (or 6+ with master's degree), strong Kubernetes expertise, Secret clearance or ability to obtain one, CompTIA Security+ certification, and 5+ years with containerization, orchestration, CI/CD tools, infrastructure-as-code, Linux systems, and scripting.

This role blends technical presales engineering with hands-on delivery for Deloitte's banking and fintech clients. You'll serve as the technical point of contact for strategic accounts, leading discovery and design sessions, building POCs and demos, and facilitating workshops to help clients adopt cloud-native, event-driven, and AI-powered architectures.…See more You'll need deep Java/Spring Boot expertise, strong microservices and event-driven architecture knowledge (Kafka, CQRS, async patterns), hands-on multi-cloud experience (AWS primary, Azure/GCP secondary), and familiarity with LLM integration and agentic AI frameworks. The role demands you translate between technical stakeholders and executives, own the customer voice back to the product team, and travel 20–30% to client sites.

Senior software engineer responsible for designing, developing, and maintaining cloud-based backend systems and data pipelines for medical device software at Dexcom. You'll build distributed systems, APIs, and ETL/ELT pipelines that ingest and transform large-scale data, integrate AI insights, and serve internal systems and external partners.…See more The role requires 5–8 years of experience with general-purpose programming (Java/Kotlin/Scala preferred), cloud platforms (AWS/Azure/GCP), CI/CD, and data platform architecture, with mentorship of junior engineers expected.

Join XiFin's Advanced Data Analytics team as an Associate Machine Learning Engineer to design, develop, and deploy machine learning models with a focus on LLMs, Generative AI, and Agentic AI in healthcare and revenue cycle domains. You will contribute to MLOps pipelines, perform data preparation and prompt engineering, collaborate with cross-functional teams, and validate models for production use.…See more The role requires a Bachelor's degree in Computer Science, Data Science, or related field, with proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch), and foundational knowledge of GenAI architectures, vector databases, and LLM orchestration frameworks.

Design and build production AI systems integrated into enterprise workflows, owning the full stack from APIs and backend services through cloud infrastructure, data pipelines, and AI components. Lead multidisciplinary engineering teams, make architectural decisions across cloud platforms (AWS, Azure, GCP), containers, serverless, and infrastructure-as-code, while building agentic systems with tools, memory, and safety controls.…See more Own DevSecOps practices including CI/CD automation, security scanning, and incident response. Require 5+ years of production software engineering, full-stack development across multiple layers, hands-on experience with a major cloud platform, and proficiency in languages like Java, Python, Go, TypeScript, or C#.

Senior AI Engineer role focused on designing and leading scalable, high-performance data architecture solutions that support AI/GenAI use cases. The role involves building and optimizing data pipelines, defining database schemas (Graph, SQL, NoSQL), and leading infrastructure for AI model deployment across cloud and on-premises environments.…See more Requires 4+ years in data engineering/MLOps with hands-on AWS/Azure/GCP experience, 2+ years managing technical teams, and expertise in DevOps, CI/CD, containerization (Kubernetes, Docker), and ML deployment frameworks. The position includes mentoring junior engineers and driving technology modernization initiatives.

This is a hands-on Solution Architect role for an AI-enabled Managed Services team, requiring deep technical expertise in designing end-to-end application architectures spanning UI, APIs, services, data, and AI components. The role combines hands-on coding and prototyping with architecture ownership, emphasizing active participation in codebases, AI tool evaluation, and guiding engineering teams through complex technical decisions.…See more Key responsibilities include designing reference architectures for AI patterns (RAG, vector search, prompt orchestration), defining non-functional requirements (performance, reliability, security), architecting CI/CD pipelines, and ensuring production readiness. The ideal candidate has 8+ years of software engineering experience, strong cloud-native and modern application architecture knowledge, practical AI feature development, and comfort working directly in code and infrastructure.

Software Engineer II responsible for designing, building, and maintaining test automation frameworks, CI pipelines, and testing infrastructure that enable developer productivity across the organization. The role involves optimizing test execution, implementing E2E and integration test solutions, writing technical specifications, and supporting engineering teams with test strategy and best practices.…See more Requires 3+ years in test automation, proficiency in TypeScript and Python, hands-on Playwright and Pytest experience, and familiarity with Docker, AWS, and CI pipeline optimization.

Senior Software Engineer responsible for designing and operating Affirm's analytical data platform, including secure data access patterns, CI/CD integration, self-service automation, and observability infrastructure. The role requires hands-on expertise with cloud data platforms (Snowflake, Databricks, BigQuery), containerization, API integrations, and Python/SQL backend work.…See more You'll participate in on-call coverage, triage production incidents, and help build next-generation capabilities including semantic layers and AI-native data tooling while setting high engineering standards across the platform.

Full Stack Engineer with 8+ years of hands-on experience building scalable web applications using React, Node.js, and TypeScript. You will design and integrate RESTful APIs and microservices, work with relational and NoSQL databases, and deploy cloud-native solutions on Azure.…See more Strong expertise in CI/CD pipelines, Docker, Kubernetes, automated testing, and system optimization in fast-paced environments is required.