Top Remote DevOps Jobs in San Diego, CA

Lead global CloudOps and DevOps teams, design scalable AWS architectures, manage Terraform automation, Kubernetes environments, and CI/CD pipelines. Drive cloud modernization, security, disaster recovery, high availability, monitoring, and observability initiatives. Provide architectural governance, technical leadership, production incident escalation support, and communication with senior leadership and cross-functional teams. The role is full-time and onsite in Washington, DC.

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.

Lead and mentor DevOps engineers while designing, operating, and improving CI/CD pipelines, developer tooling, infrastructure-as-code, Kubernetes and Kafka environments, and observability solutions. Partner with architecture, security, data, development, and product teams to improve application resiliency, uptime, performance, and operational best practices across SaaS production systems.

Build and maintain cloud infrastructure, automation, configuration management, and CI/CD pipelines. Operate Kubernetes, Helm, and Docker workloads across multiple public clouds; configure observability tooling; troubleshoot production systems spanning networking, databases, serverless functions, and caching; and participate in a 24/7 on-call rotation. The role also involves owning infrastructure projects end to end and collaborating across engineering and product teams.

Design, implement, and maintain scalable AWS infrastructure; automate deployments and configuration; monitor and troubleshoot production systems; collaborate with development teams for smooth feature rollouts; improve infrastructure and application security; stay current with AWS and DevOps best practices.

Design, build, and maintain enterprise CI/CD and cloud platform infrastructure. Implement IaC (Terraform), GitOps pipelines (FluxCD/ArgoCD), Kubernetes and service mesh (Istio/Linkerd), and AWS services to deliver scalable, secure, highly available stateful and stateless applications. Collaborate on architecture, automate deployments, and support platform strategy.

Lead and own AWS infrastructure for an LLM-powered enterprise coaching product. Design scalable IaC (Terraform, Ansible), CI/CD, autoscaling, networking and security (SIEM, EDR/XDR). Optimize costs, ensure high availability, collaborate with application and AI teams, and implement enterprise-grade security and compliance for Fortune 500 deployments.

Design and maintain infrastructure tools in Rust, manage CI/CD pipelines, collaborate with teams, and optimize for performance and security.

Own and improve security posture, design and maintain scalable AWS infrastructure with Terraform, embed with product teams to bake security into CI/CD, operate containerized workloads, and participate in on-call incident response to ensure resilient, high-volume browser rendering services.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

Design, build, and operate secure, scalable cloud infrastructure and platform capabilities. Implement IaC, improve CI/CD, observability, and automation. Lead incident response, reliability, and DevSecOps practices. Mentor engineers, drive platform standardization, document runbooks, and participate in a 24/7 on-call rotation to support production systems and remediation of systemic infrastructure issues.

Designs and maintains AWS cloud infrastructure, CI/CD pipelines, Docker workloads, and IaC provisioning. Implements monitoring, logging, alerting, observability, security hardening, and code quality checks. Troubleshoots production issues, supports incident response and root-cause analysis, improves system reliability, and automates operational tasks. Collaborates with distributed engineering teams to establish infrastructure, deployment, monitoring, and SRE best practices.

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.

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.