devops-infrastructure jobs in San Diego

Staff Software Engineer at Abbott responsible for designing, developing, and enhancing software systems within cross-functional teams following established design control and engineering practices. You will serve as a technical lead, mentoring entry-level engineers, troubleshooting complex issues, and making significant architectural decisions that influence department delivery.…See more The role requires expert-level proficiency in object-oriented programming languages, cloud platforms (Azure/AWS), relational databases, RESTful web services, and Agile development tools, with demonstrated ability to own quality and design decisions across large features and productions.

This role provides hands-on technical support to the Global Command and Control Systems – Maritime (GCCS-M) Product Support Team, resolving complex help desk tickets, conducting rapid-response troubleshooting on USS Naval Vessels, and leading installations of GCCS-M baselines to the Fleet. You will administer diverse C4I environments (RHEL/Unix/Linux/Windows), manage casualty reports in Helix, and travel 25–40% to CONUS and OCONUS locations for on-site system configuration and maintenance.…See more Experience with Linux, Windows Server, VMware virtualization, network administration, and C4I systems (including Link 11 and related peripherals) is expected. You must hold an active Secret clearance and CompTIA Security+ certification.

Sr. AI Developer at XiFin will design and build AI-powered applications, agents, and automation tools that enhance software development workflows and improve engineering productivity.…See more The role involves developing intelligent testing solutions integrated with CI/CD pipelines, implementing AI-assisted developer tools using Claude and AWS Bedrock, and evaluating emerging AI technologies. You'll work hands-on across Python, LLMs, generative AI, and cloud-native AWS infrastructure, partnering with Engineering, QA, and DevOps teams to prototype and deploy scalable, production-ready solutions. The position requires 4–7+ years of software engineering experience with strong Python skills, LLM/generative AI application experience, and familiarity with modern DevOps practices.

com, a high-traffic marketing website serving millions of prospects. Responsible for designing scalable, performant web platforms with hosted authoring environments, administrative UIs, and runtime application UI generation.…See more ed authoring environments, administrative UIs, and runtime application UI generation. Will mentor engineers, architect microservices and APIs (REST/GraphQL), drive experimentation capabilities, and guide technical decisions across the full software development lifecycle.

This role is a hands-on cybersecurity engineer responsible for securing cloud infrastructure (AWS, Azure, GCP), containerized environments (Docker, Kubernetes), and applications. Key duties include vulnerability scanning and penetration testing, threat modeling, Web Application Firewall (WAF) deployment and tuning, CI/CD security integration (SAST, DAST, SCA), incident response, and compliance support.…See more The engineer will work closely with DevOps and application teams to embed security controls, conduct code and architecture reviews, and provide risk-based guidance. Required experience includes 3–5+ years in cybersecurity or security engineering, hands-on SIEM/EDR/vulnerability management tools, cloud platforms, WAF configuration, and scripting (Python, Bash, PowerShell).

The System Administrator Expeditionary Systems (OpAI) will maintain and troubleshoot tactical systems integrating AI capabilities into Naval expeditionary platforms, including sensors, unmanned systems, and command-and-control infrastructure. Daily responsibilities span hands-on system administration (Linux, edge servers, software updates), testing machine learning capabilities in field environments, and collaborating with engineers to deploy and monitor data pipelines connecting tactical systems.…See more The role requires 3+ years in system administration, data engineering, or related technical fields, with intermediate Linux command-line proficiency, familiarity with containerization (Docker, Kubernetes), edge computing platforms (Jetson Nano, DGX), and troubleshooting of tactical data architectures. The candidate will work closely with machine learning engineers, data engineers, and software engineers to ensure performant, reliable data flow across integrated systems.

A Senior Site Reliability Engineer at SHEIN will own and operate mission-critical, large-scale distributed systems (Kubernetes, Kafka, Elasticsearch, Redis, APISIX, Nginx) running 24/7/365, participating in on-call rotations and driving fast incident response using AI-assisted log analysis and anomaly detection. The role requires strong software engineering expertise in Python or Go, deep Linux and networking knowledge, and hands-on experience with observability platforms (Prometheus, Grafana) and configuration management tools.…See more Responsibilities include designing resilient monitoring and alerting infrastructure, automating operational workflows to eliminate toil, capacity planning, and collaborating with global teams to improve system reliability and performance.

Design and build scalable, distributed data platform systems on AWS and Databricks, owning workspace architecture, governance, and lifecycle management. Implement infrastructure as code with Terraform, develop end-to-end data pipelines from ingestion to analytics and ML, and operate Amazon EKS clusters.…See more Define SLIs/SLOs for platform reliability, lead incident response and on-call rotations, implement security and compliance controls, and mentor engineers on platform standards. This senior staff role requires 8+ years building large-scale cloud platforms, 5+ years in Data Platform/DevOps/SRE roles, expert AWS knowledge, and deep hands-on experience with Databricks Lakehouse (Unity Catalog, Delta Lake, MLflow), Terraform, CI/CD pipelines, and Python/Bash scripting.

Serve as a primary administrator for core security technologies including Microsoft Defender Suite, Entra ID, Conditional Access, and endpoint protection, while also administering enterprise infrastructure across Microsoft 365, Azure, AWS, VMware, and hybrid platforms. Troubleshoot complex infrastructure and security issues, manage cloud backup and disaster recovery, monitor alerts through LogicMonitor and SIEM/MDR/SOCaaS services, and coordinate with security operations teams on investigations and remediation.…See more Requires 8+ years of hands-on experience in cybersecurity and infrastructure engineering in business-critical environments, with deep expertise in Microsoft identity and security technologies, cloud platforms, vulnerability management, and enterprise backup solutions. Participate in after-hours support and escalation activities as needed.

Design and build production AI solutions including copilots, agents, RAG applications, and workflow automations on Azure OpenAI, Claude, and Microsoft platforms. Write custom code in Python, JavaScript/TypeScript, or C# and leverage low-code platforms like Power Automate and Logic Apps where appropriate, following solid engineering practices (version control, testing, CI/CD, AI output evaluation).…See more Integrate solutions with enterprise systems and APIs with security-first design, own projects end-to-end from deployment through adoption and improvement, and work with security, architecture, governance, and compliance teams to ensure production readiness. Communicate clearly to both technical and business audiences, document designs, and coach teammates on AI capabilities, limits, and risks.

Lead the design, deployment, and governance of an enterprise AI platform integrating AWS Bedrock, Microsoft 365 Copilot, and structured/unstructured data sources. Act as the primary technical authority for AI infrastructure, RAG architecture, security controls, and AI adoption across business units, with responsibility for platform budget, vendor contracts, and internal capability building through mentoring and community-of-practice leadership.…See more Requires hands-on production experience with Bedrock (Agents, Knowledge Bases, Guardrails), M365 Copilot enterprise deployment, and proven ability to operate as a solo platform owner in a matrixed organization without direct reports.

Design and execute data migration strategies moving from Agile PLM to Teamcenter, including assessing current data environments, identifying required data model changes, and mapping source data to target Teamcenter structures. The role requires 4–6 years of experience with Teamcenter PLM and hands-on expertise in enterprise data migration.See more

Senior DevOps Build Engineer responsible for designing, building, and maintaining CI/CD pipelines that compile, test, package, and publish software across defense and government contract programs. The role owns build automation, release engineering, artifact management, and container registries end-to-end, while integrating security and compliance checks directly into the build process.…See more Requires 8+ years of hands-on experience with CI/CD tools (GitLab CI, GitHub Actions, Jenkins), strong scripting skills in Python and Bash, and proficiency with containerization, artifact management, and cloud platforms (AWS or Azure). The engineer will partner with development, security, and compliance teams to deliver self-service tooling and standardize builds across unclassified and controlled unclassified environments.

Senior Full-Stack Web Application Developer responsible for designing, building, and deploying multiple web applications across financial management, asset management, and internal tools. The role encompasses full-stack ownership from database architecture and API development through frontend implementation, with a strong emphasis on security engineering, DevOps, and infrastructure automation.…See more Key responsibilities include establishing CI/CD pipelines, implementing authentication/authorization and encryption standards, conducting vulnerability assessments, and maintaining code quality through testing and code reviews. Required skills include proficiency in JavaScript/TypeScript, modern frontend frameworks (React, Vue, or Svelte), backend experience (Node.js, Python, Go), relational and NoSQL databases, Docker, cloud platforms (AWS, GCP, Azure), and security implementations (OAuth2/OIDC, JWT, MFA, encryption).

Own CI, build, and release infrastructure for AI software products (ONNX Runtime, ExecuTorch, TFLite/LiteRT delegates) across Linux, Windows, and Android. Design and evolve multi-platform CI pipelines, implement HIL and on-device automated testing for Snapdragon SoC validation, and drive end-to-end release pipelines with versioning, artifact packaging, and distribution.…See more Define automated quality gates including regression benchmarks and performance thresholds. Requires 8+ years of software/DevOps/release engineering experience (or 6+ with a Master's), expert Python and Bash scripting, deep CI/CD platform expertise (Jenkins, GitLab CI, GitHub Actions, TeamCity), and hands-on experience integrating AI coding agents into workflows.

This role leads enterprise-level analytics and visualization initiatives, requiring 7+ years of BI and data visualization experience. The candidate will design executive dashboards and scorecards using Power BI and Tableau, establish visualization standards and governance, translate business requirements into actionable insights, and mentor analysts on best practices.…See more The position requires deep expertise in data modeling, SQL, dashboard architecture, and data storytelling, with strategic responsibility for the organization's long-term visualization strategy and potential evolution into a Visualization Architect role.

Staff Software Engineer responsible for driving significant technology initiatives end-to-end across multiple architecture layers, designing and developing scalable, secure applications that solve critical customer problems. The role requires architecting microservices-based systems, integrating AI technologies (LLMs, AutoML) into production applications, and mentoring junior engineers on software best practices.…See more Candidates must have 9+ years of enterprise application development experience with proficiency in JavaScript, Java, Kubernetes, SQL/NoSQL databases, CI/CD pipelines, and practical AI integration skills including LLM prompting and production performance monitoring.

Staff-level data engineer who designs, develops, and maintains scalable ETL/ELT pipelines using Databricks, PySpark, and Python for enterprise analytics and AI use cases. Builds curated data layers following Lakehouse Medallion architecture, develops Databricks-native applications (notebooks, dashboards, APIs), and optimizes Apache Spark workloads for performance and cost efficiency.…See more Owns production data pipelines end-to-end, ensures data quality and reliability, and acts as a technical leader mentoring teams on data engineering best practices and modern Databricks capabilities.

Senior Forward Deployed Engineer responsible for building and deploying GenAI/LLM-powered solutions on AWS, working directly with enterprise clients to translate business needs into production AI systems. The role requires 5+ years of software/data engineering experience, 1+ years hands-on with AWS AI&Data services (Bedrock, Neptune, OpenSearch), and the ability to lead technical workstreams while mentoring team members.…See more You will prototype solutions, develop scalable AI patterns with human-in-the-loop controls, write production-quality code with strong testing and CI/CD practices, and create reusable assets including code libraries and reference implementations. 50% travel required.

Forward Deployed Engineer who partners with enterprise clients to identify business needs and prototype production-grade GenAI/LLM solutions on AWS. Designs and builds AI-enabled agentic platforms, workflows, and scalable engineering patterns using AWS AI&Data services (Bedrock, Neptune, OpenSearch).…See more Delivers production-quality code with strong testing, CI/CD, logging, and documentation practices while mentoring team members and translating complex business problems into technical AI solutions.

Lead system-level engineering for complex electro-mechanical and robotic modules, translating customer requirements into multi-disciplinary designs that balance performance, reliability, and cost. Drive cross-functional concept development, conduct requirement analysis, and author technical specifications for automated sub-assemblies.…See more Evaluate feasibility through analytical modeling and simulation, ensure architectural consistency across subsystems, and guide design reviews while managing risk assessments and compliance certification (CE, SEMI, RoHS). Requires minimum 3 years of system-level leadership on mechatronic systems development, preferably in semiconductor backend equipment, with proficiency in Solidworks or equivalent CAD tools.

Zensar is seeking an experienced AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role requires deep expertise in Large Language Models (Claude, Gemini, OpenAI), multi-cloud platforms (Azure, AWS), and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years designing AI/ML solutions.…See more Responsibilities include defining AI strategy and architecture standards, designing end-to-end GenAI systems (RAG, agentic AI, multi-agent systems), architecting secure infrastructure across Azure and AWS, establishing governance and responsible AI frameworks, and leading adoption programs. The ideal candidate will mentor teams, evaluate emerging technologies, and translate business requirements into scalable, production-grade AI systems.

The Product Owner will manage the product backlog and roadmap for a data platform serving alternative investment firms, applying deep expertise in ETL/ELT pipelines, data warehousing, and self-service reporting. The role requires translating complex client and business requirements into technically feasible product solutions while collaborating closely with engineering on Snowflake-based architectures, BI tools, and API integrations.…See more Success depends on defining metrics, monitoring post-release performance, driving adoption, and continuously refining the product based on customer feedback and usage data. The ideal candidate has 5+ years in product ownership or product management within fintech/alternative investment software, with strong domain knowledge of fund accounting, portfolio reporting, and investor reporting workflows.

js, Python, or Go. Responsibilities include architecting relational and NoSQL databases for high availability, building data pipelines and asynchronous processing systems, and deploying cloud infrastructure on AWS with Docker, Kubernetes, and Terraform.…See more pipelines and asynchronous processing systems, and deploying cloud infrastructure on AWS with Docker, Kubernetes, and Terraform. The role requires 3–6 years of experience building distributed systems at scale, with deep expertise in database design, caching strategies, and cloud platforms. You'll also own monitoring, performance optimization, and comprehensive testing across unit, integration, and end-to-end scenarios.

Senior Cyber Software Engineer supporting the ATLANTIS Multi-level Security C4I system at NIWC PAC in San Diego. You will design, develop, test, and maintain high-quality software solutions using C/C++, Golang, Python, and Java, architect scalable microservices-based systems, and leverage advanced Linux skills for development and system administration.…See more Responsibilities include code review and mentorship, collaboration with cross-functional teams, troubleshooting complex software issues, and maintaining technical documentation. The role requires a minimum of 8 years of experience with a BS/BA (or equivalent with advanced degree), proficiency in Linux and shell scripting, and an active SECRET clearance with the ability to obtain TOP SECRET/SCI access.