Top DevOps Jobs in San Diego, CA

Design, build, and manage scalable GCP cloud infrastructure, including compute, storage, networking, Kubernetes, monitoring, and IAM. Automate provisioning with Terraform, improve platform reliability, security, performance, and cost efficiency, and support disaster recovery. The role also documents infrastructure practices, collaborates across technical teams, and mentors junior engineers.

Leads operational support, incident management, troubleshooting, and reliability improvements for Snowflake and cloud-based data and AI platforms. Monitors ETL/ELT pipelines, performs root-cause analysis, develops automation, maintains runbooks, and advises clients on performance and operational strategy. Collaborates with engineering, analytics, architecture, and client teams while mentoring peers and supporting distributed 24/7 production environments.

Founding DevOps engineer responsible for establishing InfoTrust’s DevOps function, including production reliability, incident response, observability, CI/CD, infrastructure as code, AWS and Google Cloud infrastructure, cost management, database operations, backups, migrations, cloud security, and SOC 2 controls. This hands-on individual contributor will define standards, build automation, participate in on-call, and improve systems across reliability, delivery, data, cloud, and security.

Design, build, and maintain tools and services for Active Directory and cloud identity platforms. Implement security policies and access controls, collaborate on Azure and Google Workspace deployments, automate integrations via APIs and CI/CD, maintain runbooks, participate in on-call rotation, and support AWS infrastructure for production systems.

Design, implement, and maintain reusable engineering patterns, CI/CD, quality checks, observability, and release practices for data product delivery across dbt, Snowflake, and GitLab. Support incident response, environment management, and developer experience to enable trusted, maintainable production data pipelines at scale.

Design, deploy, and maintain reliable production and corporate systems; manage configuration, security, and core infrastructure; participate in on-call incident response; build automation, CI/CD pipelines, and Infrastructure-as-Code; monitor systems and develop tools to improve reliability and availability.

The Lead DevOps Engineer will improve cloud infrastructure, drive DevOps best practices, mentor engineers, and ensure system reliability and performance.

Design, build, and maintain cloud infrastructure, CI/CD pipelines, and infrastructure-as-code. Ensure security, compliance, monitoring, logging, and auditability for federal systems. Automate developer workflows, mentor engineers, improve processes, and support continuous delivery while meeting federal data-protection and compliance requirements.

Apply to join Galaxy Ventures' invite-only Talent Network for DevOps, SRE, QA, and Security professionals. Upon acceptance, your profile may be discreetly shared with portfolio companies for relevant roles, and you'll receive invitations to exclusive networking events. Participation is confidential and non-binding.

Design, operate, and automate highly available systems in large distributed and hybrid cloud environments. Build CI/CD pipelines, manage virtualization and container platforms, configure monitoring/alerting, and collaborate with distributed teams to enable fast, reliable deployments and continual improvement.

As a Senior DevOps Engineer, you will manage and optimize multi-cloud infrastructure, drive Infrastructure as Code, improve CI/CD processes, and enhance system reliability and performance.

Own and evolve Tenna's production platform: operate and improve AWS-based infrastructure (EKS, RDS/Aurora), lead incident response and RCA, implement IaC (AWS CDK), manage CI/CD (GitHub Actions), monitoring, cost optimization, and documentation to build a platform/developer-experience function.

Deploy, maintain, and automate application infrastructure on GCP using Kubernetes, Docker, Helm, ArgoCD, and Terraform. Build automation pipelines, support and troubleshoot in-house and third-party apps, document processes, and participate in on-call rotation.

Build and maintain CI/CD pipelines and automated deployment workflows. Provision and manage AWS infrastructure using Terraform. Operate Kubernetes and containerized environments (EKS, ECS, Fargate) and tooling such as Argo Workflows. Support AI engineering platform adoption and partner with DevOps, Architecture, and Development teams to implement scalable, secure infrastructure patterns and internal developer tooling.

Design, implement, and operate secure, scalable Linux infrastructure across on-prem and AWS with primary focus on Kubernetes/EKS. Build and automate IaC (Terraform/Ansible/CloudFormation), CI/CD pipelines (GitLab), monitoring/alerting, cluster upgrades, autoscaling, security hardening, multi-tenant isolation, and disaster recovery. Support container builds, GitLab Runners, RDS databases, compliance (SOX/SOC2), incident response, and on-call rotations while collaborating with development and QA teams to improve reliability and operational standards.

Lead design and implementation of automated testing solutions and QA strategies. Build scalable automation frameworks, integrate tests into CI/CD pipelines, collaborate with cross-functional teams, and drive quality improvements across the software development lifecycle.

Responsible for implementing and managing infrastructure as code (Terracore/Terraform), automating CI/CD with Jenkins, managing AWS services and Amazon EKS/Kubernetes, scripting in Bash/Python, implementing monitoring and security best practices, supporting production via on-call rotations, and collaborating with development and QA teams.

Design, automate, and maintain scalable, secure GCP cloud infrastructure. Build and improve CI/CD pipelines, monitor and respond to incidents, enforce security/compliance, optimize costs, and script/configure tooling to support development, QA, and production environments.

Design, implement, and maintain AWS cloud infrastructure; build CI/CD pipelines; implement IaC and container orchestration; monitor and secure systems; automate deployments; collaborate with developers; document architecture and procedures.

Design, implement, and manage Azure CI/CD pipelines and automated infrastructure deployments using IaC (ARM, Terraform, Bicep). Deploy and operate Azure services (VMs, App Services, AKS, Functions), containerize applications with Docker/Kubernetes, configure monitoring and logging, enforce security and compliance (RBAC, Key Vault, NSGs), collaborate with development and architecture teams, troubleshoot deployments, and drive continuous DevOps improvements and automation.

Lead DevOps initiatives onsite, implementing and maintaining CI/CD pipelines, web servers, APIs, secrets management, observability via Application Insights, source control and automation with GitHub/GitHub Actions, and code quality scanning with Sonar.

Lead database and DevOps engineer responsible for designing, installing, configuring, and maintaining Postgres/SQL/MySQL databases, ensuring recovery and operational stability. Build automation and CI/CD pipelines using Puppet and cloud platforms (AWS/Azure/GCP), support continuous delivery, recommend scalability improvements, and collaborate with cross-functional teams.

The role involves designing and maintaining scalable cloud infrastructure, optimizing CI/CD pipelines, and mentoring junior engineers while focusing on improving developer experience.

Own and operate infrastructure-as-code across cloud, on-prem, and bare-metal; build CI/CD pipelines; containerize and orchestrate services; maintain observability and reliability; participate in on-call and incident response; enable engineering teams with self-service tooling and secure deployment practices.

Design, implement, and maintain AWS cloud infrastructure; modernize platform tooling and EKS footprint; optimize managed datastores; build self-service CI/CD, developer templates, and automation; enforce IAM/security controls and compliance; monitor performance and collaborate with engineering and ML teams.