docker jobs in San Diego

Senior Site Reliability Engineer responsible for designing and implementing Infrastructure as Code solutions, managing containerized and serverless architectures, and driving automation to reduce operational toil across large-scale production systems. The role requires defining Service Level Objectives (SLOs), leading incident response efforts, implementing monitoring and logging systems, and collaborating with development teams to ensure reliability and scalability.…See more Requires 5+ years of SRE or cloud engineering experience with deep expertise in Terraform, CloudFormation, Docker, Kubernetes, CI/CD pipelines, and cloud security practices. Must be a US citizen eligible to obtain and maintain an active Secret security clearance or above.

Design, implement, and scale core backend services and APIs using Python, Go, Node.js, or Java to support high-throughput applications. Architect and optimize relational (PostgreSQL) and NoSQL (Redis) databases, deploy containerized services on AWS/GCP using Docker and Kubernetes, and build CI/CD pipelines with comprehensive automated testing.…See more Monitor production systems, troubleshoot incidents, and collaborate cross-functionally to deliver reliable, low-latency features. Requires 3–6 years of distributed systems experience and proficiency in at least one backend language.

Senior Firmware Engineer responsible for developing and optimizing low-level embedded software in C++ for flight-critical avionics and UAS systems. Will port frameworks to new RTOSes and hardware platforms, create board support packages and hardware abstraction layers, develop peripheral drivers (I2C, SPI, UART, ADC, wireless), and conduct unit/integration testing including MISRA C compliance.…See more Requires 5+ years embedded systems experience, bachelor's degree in Aerospace/Electrical/Systems/Mechanical Engineering, U.S. citizenship, and ability to obtain DoD security clearance.

This role involves evolving Qualcomm's Robotic Process Automation capabilities into next-generation agentic automation solutions. The Senior Agentic Automations Engineer will design and deploy AI-driven agents, enterprise chatbots, and workflow engines, leading technical delivery across a global team while integrating RPA platforms like Automation Anywhere with containerized architectures.…See more Key responsibilities include defining automation standards, building full-stack enterprise applications, and ensuring secure integration with enterprise systems using Docker, Kubernetes, and agentic frameworks like LangGraph and n8n.

SAIC seeks an experienced System Administrator to maintain and integrate AI capabilities into expeditionary systems for the Navy, including sensors, unmanned systems, command-and-control, and TAK. The role combines hands-on administration (Linux systems, edge servers, software updates, network troubleshooting) with collaboration on machine learning integration, data pipeline monitoring, and tactical system testing at field exercises.…See more The candidate will work across cross-functional teams—including ML engineers, data engineers, and software engineers—to deploy and validate high-performance data flows in operational environments. Requirements include 2+ years in a related technical role (sysadmin, data engineer, software engineer, or similar), intermediate Linux command-line proficiency, familiarity with containerization (Docker, Kubernetes) and edge GPUs (Jetson Nano, DGX), and experience with tactical system troubleshooting and data pipeline deployment.

As a Linux Systems Automation Engineer, you will engineer and deploy critical infrastructure across Red Hat Enterprise Linux (RHEL) platforms for a government client, supporting national defense missions. You will design enterprise-scale monitoring and automation solutions, develop Python scripts and Ansible configurations for automated provisioning and compliance, and manage virtualized environments (KVM, QEMU, Proxmox) and containerized workloads.…See more Key responsibilities include maintaining system security through STIG implementation and hardening, performing vulnerability scanning and remediation, and authoring technical documentation. You must have 5+ years of RHEL administration experience, 3+ years of Python automation expertise, security compliance knowledge, and a Secret clearance.

Senior Embedded Software Engineer role focused on R&D and production software development for next-generation radar products. Responsibilities include building embedded Linux systems, supporting system integration on custom hardware, and maintaining deployed software for U.S.…See more and international defense customers. Requires 4+ years of professional object-oriented software development with C/C++ and Python, extensive Linux experience, and familiarity with Agile/Scrum methodologies. Must be a U.S. Person with ability to access U.S.-only data systems.

Design, develop, and optimize machine learning systems for production AI platforms, including model development, inference optimization, and scalable ML infrastructure. Build training-to-deployment pipelines, optimize model serving for latency and cost, and integrate LLMs and generative AI models into microservices and APIs.…See more Develop data pipelines for ingestion, preprocessing, and feature engineering while collaborating cross-functionally with product, platform, and hardware teams to deliver end-to-end ML solutions.

As a SW Test Development Engineer 2, you will design and build automation tools and frameworks to test Dexcom's continuous glucose monitoring devices and mobile apps (iOS/Android). You will develop in Python or Java to create testing APIs, integrate tools like Jira, Testrail, Slack, and GitHub, and manage end-to-end test suites in CI/CD pipelines.…See more The role requires 2–3 years of software development experience with object-oriented languages, hands-on familiarity with cloud platforms (AWS/GCP), containerization (Docker), and embedded/mobile device automation.

Senior Software Engineer working within the Knowledge Exploitation & Decisions Systems Group to build scalable microservices and high-performance APIs for command & control, trusted AI, and advanced reasoning systems. You will take technical ownership of features within a mature mission planning solution, translating complex mathematical models from PhD scientists into production-grade software.…See more Required: 5+ years (BS) or 1-2+ years (MS) of professional experience building maintainable APIs; strong proficiency in Java 17+, Spring Boot, and object-oriented design patterns; experience with Linux, Docker, Kubernetes, and DevSecOps practices.

As a Senior Systems Engineer for Data Center AI at Qualcomm, you will research, develop, optimize, and validate AI/ML solutions that integrate Qualcomm's hardware accelerators with software and ecosystem to deliver high-performance inference in datacenter environments. You will design and deploy Gen AI and LLM applications, implement fine-tuning and distillation techniques, perform model benchmarking, and drive system-level architecture decisions.…See more You will collaborate across functional teams to meet system-level requirements while staying current with advances in AI/ML models and hardware. Required skills include strong Python proficiency, expertise in ML frameworks (PyTorch, TensorFlow), deep understanding of ML deployment and system performance profiling, and experience with parallel computing.

Own and deliver small to medium machine learning system components from design through production deployment, including building data pipelines, training and evaluating models, and implementing MLOps monitoring. Write high-quality Python code to translate technical requirements into maintainable solutions, working with frameworks like scikit-learn, TensorFlow, PyTorch, and HuggingFace.…See more Design and deploy ML models as microservices, APIs, batch jobs, or streaming components on AWS, with responsibility for model performance metrics, data drift detection, and retraining triggers. Collaborate across Data Engineers, Software Engineers, Data Scientists, and product stakeholders to deliver project objectives.

Join Qualcomm's Enterprise AI Engineering organization as a BizAI Tech Functional Engineer, bridging business stakeholders in Finance, Sales, and SCM with the AI engineering team. You will design and deliver AI-driven agents, natural-language analytics, and workflow automations on Qualcomm's unified BizAI platform, integrating with enterprise systems like Databricks, Oracle, Salesforce, and M365.…See more The role requires full-stack technical expertise (Python, TypeScript, FastAPI, n8n, Kubernetes) combined with functional fluency to translate process pain points into governed, production-grade solutions that meet SOX, security, and auditability standards. You'll support adoption through enablement and hands-on guidance while defining standards for scalability and compliance across the enterprise.

This role focuses on designing, developing, and deploying next-generation agentic automation solutions that replace and extend traditional RPA capabilities across enterprise systems. The engineer will architect AI-driven agents, chatbots, and workflow engines; lead technical delivery for a global matrixed team; and integrate platforms like Automation Anywhere with modern agentic frameworks and containerized infrastructure.…See more Success requires 7+ years in automation engineering or software development, strong proficiency in Python, Rust, and TypeScript, hands-on experience with agentic runtimes (n8n, LangGraph, Agno), and deep expertise in Docker, Kubernetes, enterprise security, and process optimization.

Senior Firmware Engineer role focused on developing and optimizing low-level embedded software in C++ for flight-critical avionics and unmanned aerial systems (UAS). You will port frameworks to new RTOSes and hardware platforms, create Board Support Packages and Hardware Abstraction Layers for ARM Cortex-M architectures, develop peripheral drivers (I2C, SPI, UART, ADC, wireless), and conduct unit/integration testing including MISRA C compliance checks.…See more You'll diagnose cross-domain issues across electromechanical, software, networking, and RF subsystems, and translate mission requirements into technical specifications and test documentation.

As a Staff Software Engineer in Data Platform Engineering, you will design, build, and operate cloud-native platform components and services, taking features from design through production. You'll lead well-scoped technical projects, collaborate with senior engineers on architecture alignment, and ensure reliability and scalability through testing and instrumentation.…See more You'll spend most of your time hands-on building operators, controllers, automation, and platform services that other teams depend on, while mentoring junior engineers. The role requires 8+ years of software development experience (or equivalent with advanced degrees), 5+ years of hands-on Kubernetes experience, and proficiency with at least one major hyperscaler (AWS, Azure, GCP).

Design, implement, and maintain secure DevSecOps automation frameworks across on-premise and cloud infrastructure, integrating security controls into CI/CD pipelines for application and configuration deployment. Develop Infrastructure as Code using Terraform, Ansible, ARM/Bicep, PowerShell, Python, and Bash across Windows, Linux, VMware, Azure, and hybrid environments.…See more Automate provisioning, patching, vulnerability remediation, and compliance checks aligned with FFIEC, NCUA, CIS, and NIST standards while partnering with Cybersecurity, Infrastructure, and Application Development teams. Support container/platform engineering, cloud identity governance, and promote DevSecOps and GitOps practices across technology teams.

Senior Python Backend Engineer building and maintaining Python-based APIs and services in an AWS environment. The role focuses on developing Kafka-based data pipelines, managing data movement across systems, and ensuring reliability and performance of containerized services.…See more You'll need strong production Python experience, familiarity with streaming or message-based systems, and comfort working with AWS and Docker.

Own the complete release and deployment strategy for Elemynt's secure AI infrastructure platform, building systems that ensure every release is versioned, reproducible, observable, and safe to operate across enterprise and scientific computing environments. Design and implement deployment automation, CI/CD pipelines, artifact management, and operational visibility (logs, metrics, alerts) that work reliably in customer-managed and restricted environments.…See more Debug incidents, identify root causes, and systematize fixes into reusable automation. Partner with product and engineering teams to embed deployment readiness into the platform from the start.

Design and own cloud infrastructure foundations, core platform services, and observability systems that enable reliable deployment across customer environments (on-premise, cloud, or hybrid). Build production-grade Kubernetes infrastructure, internal APIs, deployment pipelines, and monitoring/alerting layers using infrastructure-as-code.…See more Instrument service-level objectives and health signals to ensure measurable reliability and reproducible, secure deployments across all environments.

Build and operate the data and ML infrastructure powering an AI platform for materials science, owning both sides: data pipelines that ingest and curate large-scale scientific output into training-ready formats, and model packaging, serving, monitoring, and CI/CD systems that move models safely from research to production across customer environments. You will design data ingestion and transformation workflows, implement validation and quality gates, package and version models with reproducible builds, run models through batch and online inference with safe rollout and rollback, monitor for drift and degradation, and build observability and internal tooling for engineering and science teams.…See more The role requires 6+ years shipping production software with deep expertise in data systems, ML infrastructure, containers, orchestration, and observability.

Senior DevOps / Platform Engineer (Level III) responsible for designing and maintaining CI/CD pipelines, automating infrastructure for predictable environments, and supporting containerized platforms in secure, regulated defense settings. The role requires 5+ years of hands-on experience with Kubernetes, container technologies (Docker, Podman, Buildah), CI/CD tools (GitLab, Jenkins, AWS CodeBuild), infrastructure-as-code (Terraform, Ansible, CloudFormation), and Linux systems.…See more You will work directly with software and cyber engineers to solve delivery problems, build microservices pipelines, and adapt to evolving program requirements across U.S. Navy modernization initiatives.

SRC seeks a mid-level platform engineer with 5+ years of CANES experience and 5+ years in IT systems design/integration to analyze existing OpenShift cluster deployments and design solutions addressing identified gaps. The role involves creating Ansible automation to integrate OpenShift clusters with CANES network, identity, and PKI services; performing on-platform installation, configuration, and troubleshooting; and authoring technical documentation.…See more The engineer will work autonomously to identify technical limitations, test solutions, and propose technology improvements while optionally mentoring junior team members.

Lead an embedded Linux software team building mission-critical defense systems, splitting time between management and individual contribution. Design and implement C/C++ Linux daemons, REST APIs, and system services for aerial platforms and deployable manufacturing infrastructure.…See more Manage team standups, architecture reviews, and cross-functional coordination with autonomy, avionics, and mechanical/electrical engineering. Engineer for real-time performance, security, and reliability while owning developer experience, CI/CD pipelines, and field operability.

Senior Software QA Engineer responsible for validating Firestorm's avionics platform—embedded Linux and RTOS flight computers, drivers, middleware, and safety-critical interfaces. Will design and execute risk-based test strategies (feature, exploratory, regression, acceptance) across HIL/SIL rigs, build Python-driven automation for serial/CAN/Ethernet I/O and fault injection, and instrument diagnostics to isolate timing and state issues before Flight Test.…See more Expected to own system testing end-to-end, validate robustness under degraded conditions (jitter, packet loss, brownouts, watchdog resets), and collaborate with avionics, autonomy, radio, and payload teams to harden reliability on aircraft.