Top DevOps Jobs in San Diego, CA

Develops, tests, documents, enhances, and maintains software applications supporting business requirements. Collaborates with internal teams to define specifications, writes and debugs code, monitors performance, prepares status reports, trains end users, and supports application improvements. The role uses C#, .NET, React, AWS, databases, shell scripting, source control, and development tools. On-call availability and some travel may be required.

Develop and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservice environment. Build AI-powered applications with LLMs, GenAI agents, RAG pipelines, semantic search, vector databases, and LLMOps practices. Collaborate across teams, optimize performance, troubleshoot issues, participate in code reviews, and create responsive user interfaces.

Develop and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservice environment. Build AI-powered solutions using LLMs, RAG pipelines, GenAI agents, vector databases, and AI orchestration frameworks. Responsibilities include frontend development, performance optimization, debugging, code reviews, data integrity, and collaboration with AI/ML teams. The role is remote and requires CST availability and high-speed wired internet.

Leads and mentors a software engineering team building applications for sales, operations, marketing, and customer experience platforms. This player-coach role includes architecture and design decisions, hands-on coding, Agile delivery, sprint and capacity planning, technical roadmaps, stakeholder collaboration, performance management, and maintaining quality, security, performance, and reliability standards. The manager also supports AI and automation initiatives and develops technical talent.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.

Own and improve the reliability of Kintsugi’s AWS and managed Kubernetes infrastructure. Build automation, internal tools, observability, CI/CD pipelines, and infrastructure-as-code workflows while reducing operational toil. Lead incident response, reliability architecture, developer enablement, cost optimization, security, compliance, and disaster recovery efforts. Work agent-first and partner with Platform Engineering, Product, QA, and software teams to deliver scalable, secure systems.

Design, execute, and analyze functional, regression, integration, system, and performance tests for a web-based observability platform. Create test plans and cases, track defects, collaborate with developers and product, improve QA processes, and potentially build/maintain automated tests. Participate in Agile ceremonies and investigate root causes to ensure timely resolution.

Leads architecture for Fortive’s HR technology ecosystem, including Oracle HCM, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and enterprise integrations. Defines API-first integration strategies, data governance, security standards, and modernization roadmaps. Designs and deploys AI, automation, NLP, and chatbot capabilities for HR workflows. Advises HR and IT stakeholders, guides vendors and technical teams, and mentors integration developers while ensuring compliance, data quality, and scalable platform architecture.

Leads a team of test specialists and owns system, regression, performance, integration, acceptance, end-to-end, and automated testing programs. Develops test strategies, translates requirements into test objectives, builds UiPath automation, analyzes defects and test results, and provides recommendations to government stakeholders. Requires Agile experience, test leadership, 5+ years of software testing experience, relevant certification, and an IT-II Non-Critical Sensitive clearance.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Leads cloud financial engineering and automated cost governance across enterprise infrastructure. Designs FinOps architecture, policy-as-code guardrails, CI/CD cost controls, infrastructure automation, Kubernetes cost optimization, billing data pipelines, commitment optimization, and unit economics telemetry. Develops automation using Python or Go, mentors engineering teams, and advises leaders on cloud cost efficiency, governance, and sustainable architecture.

Own and optimize CI/CD pipelines, mobile and web build systems, deployment workflows, and release processes. Manage iOS and Android releases through Expo/EAS, App Store Connect, and Google Play Console. Configure OTA updates, versioning, testing, and A/B testing environments. Troubleshoot deployment failures and React Native bugs, make UI changes, improve Supabase and developer tooling, and support Next.js and React applications in a remote startup environment.

Manage and optimize multiple platforms, CI/CD pipelines, cloud infrastructure, and production processes. Improve system reliability, troubleshoot degraded services, maintain containerized infrastructure, and enhance monitoring, logging, and security. The role involves AWS, Jenkins, Docker, Kubernetes platforms, configuration management, and tools including PrismaCloud, Tenable, New Relic, and Splunk. Candidates must collaborate cross-functionally, document systems, communicate effectively, and hold U.S. citizenship with an active Public Trust clearance.

Build, secure, and operate AWS and AWS GovCloud infrastructure across commercial and government environments. Own CI/CD pipelines, Kubernetes and GitOps deployments, infrastructure as code, environment segmentation, secrets management, monitoring, incident response, database migrations, and compliance automation. Support FedRAMP, GovRAMP, and IL5 authorization requirements, collaborate with Security/GRC on audits and continuous monitoring, and improve reliability, scalability, and engineering productivity.

Build and operate Legion’s secure, scalable AWS and Kubernetes platform. Responsibilities include infrastructure automation, CI/CD, monitoring, alerting, incident response, operational runbooks, production support, and on-call participation. The role also develops production AI agents for SRE automation and owns a secure platform for engineering teams to build and operate agents with sandboxing, scoped credentials, integrations, cost controls, observability, and reliability guardrails.

Own and scale Bitsight’s SaaS cloud infrastructure, focusing on reliability, security, automation, and cost efficiency. Design complex systems, troubleshoot production issues, validate AI-assisted infrastructure automation, and improve delivery processes. Lead technical discussions, establish infrastructure best practices, mentor engineers, and collaborate across teams. The role requires strong Linux, scripting, containerization, cloud, infrastructure-as-code, networking, and observability expertise, with occasional off-shift production support.

Manage Azure cloud infrastructure, including compute, storage, networking, load balancing, DNS, security, monitoring, and logging. Build CI/CD pipelines and secure Linux machine images, implement Infrastructure as Code, troubleshoot deployments, and improve application reliability. This two-month contractor engagement requires independent delivery of production-quality infrastructure, with opportunities to support multi-cloud environments and confidential computing.

Senior/Principal DevOps Engineers will deliver cloud and infrastructure projects for small, medium-sized, and enterprise clients. Responsibilities include DevOps project delivery, staff augmentation, fractional retainers, and solution consulting using AWS, GCP, Azure, infrastructure-as-code, Kubernetes, Helm, Docker, and scripting languages. Strong communication and project management skills are required. Roles are available full-time or part-time as 1099 contractor engagements for US-based workers.

Design, implement, and operate CI/CD pipelines for mobile and backend services; maintain build/test/release processes with quality gates and artifact management; configure non-production environments; support release preparation and deployment coordination; integrate monitoring/logging and improve automation, performance, and reliability of delivery pipelines.

Lead infrastructure and DevOps strategy, team development, cloud architecture, Infrastructure as Code, CI/CD, automation, reliability, scalability, cost optimization, and security for production SaaS applications. Manage AWS and GCP environments, establish Terraform and Ansible standards, implement deployment and rollback automation, apply AI to operational workflows, and improve observability, incident response, disaster recovery, and engineering productivity.

Support and evolve development, production, and non-production infrastructure. Maintain GitLab CI/CD pipelines, automate operational tasks with Python and Bash, manage cloud and virtualized environments, troubleshoot incidents, perform root cause analysis, support vulnerability remediation using Tenable Nessus and Wiz, and maintain technical documentation in Jira and Confluence.

Build and manage cloud infrastructure for an agentic AI platform. Responsibilities include maintaining Kubernetes clusters, automating provisioning with Terraform and Ansible, implementing CI/CD pipelines, building observability systems, and ensuring security, scalability, performance, and reliability for multi-tenant SaaS architecture.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Design, build, and maintain scalable cloud or hybrid infrastructure with automated CI/CD, monitoring, and cloud optimization to ensure 99.9% uptime. Lead migration efforts, implement monitoring and performance strategies, and collaborate with cross-functional teams to maintain platform stability.