devops-infrastructure jobs in San Diego

Lead development of scalable SaaS features for clinical trial platforms, owning delivery from ideation through release. js, while mentoring engineers and establishing engineering best practices.…See more ypeScript, Python, React, and Node.js, while mentoring engineers and establishing engineering best practices. 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.

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.

Build and optimize scalable LLM inference platforms at Qualcomm's Cloud AI team, implementing advanced serving techniques like KV-cache management, speculative algorithms, and model optimization. Contribute to production serving frameworks (vLLM, SGLang, Triton, TGI) and work with customers on deployment solutions.…See more Collaborate with compiler, firmware, and platform teams to drive efficient serving through autoscaling, load balancing, and routing. Requires deep understanding of transformer architectures, strong PyTorch and Python skills, computer architecture knowledge, and hands-on experience profiling and optimizing deep learning workloads.

Lead a systems engineering team responsible for avionics integration, verification, and validation activities for satellite communication systems. Direct technical problem-solving during integration phases, oversee certification and compliance (DO-160 frameworks), manage system architecture decisions across hardware and software, and ensure airworthiness of deployed solutions.…See more Manage team budget, conduct performance reviews, and serve as technical spokesperson to internal/external stakeholders. Required skills include 7+ years in avionics/aerospace systems engineering with hands-on experience in embedded Linux/Windows, avionics I/O interfaces (ARINC 429, CAN, Ethernet), IVV tooling (git, Jira, bash, Python), and lab test equipment.

Director-level IT Infrastructure role overseeing enterprise virtualization, hybrid cloud operations (Azure/AWS), network infrastructure, and disaster recovery across a regulated pharmaceutical environment. Responsibilities include developing multi-year infrastructure roadmaps, managing budgets and vendor relationships, leading infrastructure teams, ensuring compliance (GxP, SOX, HIPAA), and driving cloud migrations and digital transformation initiatives.…See more Requires 10+ years of progressive infrastructure experience with 4+ years in senior leadership, deep expertise in virtualization platforms (VMware, Nutanix, Hyper-V), Microsoft Active Directory, and cloud architecture.

js. The role involves A/B testing, UX/UI optimization, API integration, and supporting digital marketing campaigns.…See more orms using modern frameworks like React, Vue, and Node.js. The role involves A/B testing, UX/UI optimization, API integration, and supporting digital marketing campaigns. Requires 3+ years of web development experience and proficiency with headless content management systems (Contentstack, Contentful, Sanity), REST/GraphQL APIs, TypeScript, and version control systems like Azure DevOps.

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.

Senior Systems Engineer responsible for full-lifecycle systems and network engineering for enterprise infrastructure, including design, implementation, integration, upgrade, sustainment, and security. Develops and maintains engineering documentation, assembles test plans and specifications, and supports cybersecurity and Risk Management Framework (RMF) documentation for system accreditation.…See more Conducts site surveys and assessments to recommend optimal configurations, and integrates emerging capabilities including AI, automation tools, and data visualization into enterprise workflows.

The Mid-Level Power Platform Developer designs, builds, and enhances enterprise solutions using Microsoft Power Apps, Power Automate, and Dataverse. Responsibilities include developing Canvas and Model-Driven applications, designing automated workflows, optimizing data models, integrating with external systems via REST APIs, and ensuring compliance with enterprise governance and security standards.…See more The role requires 2–5 years of Power Platform experience, proficiency in app development and cloud flows, strong Dataverse knowledge, and collaboration with business and technical stakeholders.

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.

Lead the design, development, and deployment of enterprise-scale Generative AI and LLM solutions across Azure and AWS environments. Define AI architecture frameworks, standards, and governance practices while architecting RAG systems, agentic AI, multi-agent systems, and vector database solutions.…See more Partner with business leaders and engineering teams to translate business requirements into scalable, secure, and responsible AI platforms. Mentor architects and data science teams while evaluating emerging AI technologies and driving innovation initiatives.

The Senior Automation Engineer will develop, maintain, and troubleshoot complex custom automation systems for a biotech stem-cell therapy company. Responsibilities include designing scripted protocols for machine operation, supporting system integration across hardware and software, implementing verification and validation plans, and ensuring compliance with FDA regulations and GxP principles.…See more The role requires a BS in engineering (Biomedical, Computer, Mechanical, Electrical, or Systems) and minimum 5 years' experience in automation, hardware design, or biotechnology. Key skills include C# proficiency, robotics and motion control systems, machine vision, electronic component integration, and troubleshooting of mission-critical automation equipment.

SAIC seeks an ICT Infrastructure Engineer to provide subject matter expertise for Army Reserve enterprise network infrastructure across 700+ locations, supporting Military Construction (MILCON) and Restoration & Modernization (R&M) projects. The role involves conducting quality assurance inspections on active construction projects, reviewing Requests for Information (RFIs), and evaluating construction submittals including shop drawings, product data, and test reports.…See more The candidate must have a minimum of 5 years' telecommunications infrastructure experience, including 5+ years in ICT infrastructure QA/QC inspections and submittal reviews. The position requires an active BICSI certification (Installer 1/2 or Technician) and working knowledge of telecommunications standards (ANSI/TIA-568, ANSI/TIA-569-C, ANSI/TIA-606, ANSI/TIA-607-B, NFPA 70, UFC 3-580-01).

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.

This mid-level business analyst role focuses on transforming business processes and analytics using Microsoft Power Platform. The analyst will develop solutions and workflows using Power Apps, Power Automate, and Power Query; analyze and process data using tools like Databricks; and create data-driven dashboards and reports for defense and national security clients.…See more The role requires 2+ years of data analysis or management experience, knowledge of Microsoft Power Platform, and the ability to visualize data and document process improvements.

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.

The Mid-Level Power Platform Developer designs, builds, and enhances solutions using Microsoft Power Apps, Power Automate, and Dataverse to support enterprise digital transformation. Responsibilities include developing Canvas and Model-Driven apps, designing complex automated workflows, optimizing data models, integrating with external systems via custom connectors and REST APIs, and ensuring compliance with enterprise governance and security standards.…See more The role requires 2–5 years of Power Platform experience, proficiency in app development and cloud flows, strong Dataverse knowledge, and familiarity with solution packaging and ALM concepts.

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).

Lead systems engineering analysis and architecture development for the Navy's Key Management project portfolio. Define and apply systems engineering processes, manage requirements through decomposition/allocation/verification/validation, and develop system architecture, CONOPS, and use cases.…See more Produce technical documentation including specifications, design documents, and user guides. Requires 8+ years of experience with model-based systems engineering, database management (MySQL, Oracle, SQL Server), operating systems (Linux, UNIX), Agile methodologies, and software design patterns.

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.

Design, architect, and deliver enterprise Cisco networking solutions for managed services customers across multiple industries. Lead technical discovery, develop High-Level and Low-Level Designs, create Bills of Materials and quotes, and provide technical leadership to engineering and operations teams.…See more Requires 10+ years of network engineering experience, 5+ years as a Network Architect or Lead Network Engineer, and expert-level hands-on proficiency with Cisco Catalyst, Nexus, SD-WAN, ISE, Secure Firewall, and DNA Center. Must have significant experience with Cisco licensing models, cloud connectivity (Azure, AWS, GCP), and enterprise LAN/WAN/WiFi architecture.

This role leads the design, development, and integration of ashore and afloat network and cloud-agnostic system architectures for Naval infrastructure, with a focus on Windows Server–based enterprise IT systems and hybrid cloud migration. The architect will conduct system assessments, develop detailed workload migration plans, collaborate with cross-functional teams, and provide guidance during implementation to ensure architectural compliance.…See more The position requires 12+ years of enterprise systems engineering in DoD environments, hands-on experience with Red Hat, Microsoft, AWS, Azure, SAN, HCI, virtualization, and DoD cybersecurity compliance frameworks. A Secret clearance is required, and the candidate must obtain a DoD 8570.11 IAT Level II certification (Security+, CCNA Security, GSEC, or SSCP) within 30 days of start.

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.