Top SRE Engineer Jobs in Los Angeles, CA

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Deploy, operate, validate, and improve Ateme video delivery platforms in customer environments, including critical live production systems. Responsibilities include Linux administration, networking, video technology integration, troubleshooting, performance investigations, documentation, customer training, technical collaboration with R&D, and ensuring service availability. The role supports live production events and participates in a 24/7 on-call rotation.

Designs, deploys, automates, and maintains resilient hybrid infrastructure and observability platforms. Responsibilities include monitoring and alerting, application telemetry, infrastructure deployment, incident response, documentation, training, cross-functional collaboration, and technical mentorship. The role supports Windows, Linux, AWS, Azure, Kubernetes, and on-premises environments while improving system reliability through automation, troubleshooting, and continuous learning.

Own production stability, observability, incident response, and reliability for a mission-critical GCP platform. Diagnose distributed-system issues, perform root cause analysis, implement Python fixes, improve monitoring and automation, maintain runbooks, and reduce operational toil. Provide technical leadership to an L2+ support squad while partnering with Product, Engineering, and QA on operational risk, releases, and technical roadmap decisions.

Internship SRE role responsible for availability, performance, and scalability of an e-commerce supply-chain platform. Tasks include SLO/SLA definition, observability (Prometheus/Grafana/Loki/Tempo/OpenTelemetry), incident response, capacity planning, disaster recovery for PostgreSQL, infrastructure-as-code (Terraform), CI/CD automation, and operational reliability for AI agent services. Mentored by Head of Technology/CTO with potential conversion to full-time based on performance.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.

Architects, deploys, and maintains cloud and on-premises infrastructure supporting Unreal Engine production workflows. Manages Perforce, CI/CD pipelines, rendering automation, Kubernetes, Terraform, and multi-cloud environments. Develops infrastructure automation, monitoring, telemetry, and front-end tools while supporting Linux, macOS, and Windows systems. Partners with development and engineering teams to improve reliability, security, scalability, and operational support for animation and virtual-production platforms.

Own end-to-end client support, troubleshoot production issues, monitor cloud environments, respond to incidents, automate operational tasks, and lead postmortems. Develop and execute manual and automated QA tests, maintain regression suites, integrate testing into CI/CD, and validate AI-powered features. Build documentation, collaborate with engineering and product teams, and improve reliability for regulated-industry clients.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

Architects, deploys, and operates secure, highly available Kubernetes and cloud infrastructure for AI/ML workloads. Builds Terraform-based automation, GitOps workflows, CI/CD pipelines, observability, and security controls across cloud environments. Serves as a customer-facing technical SME, supporting solution architecture, technical scoping, demonstrations, documentation, and client handoffs. Participates in on-call operations, troubleshooting, root-cause analysis, and post-mortems.

Build and operate reliable, scalable cloud applications through automation, infrastructure as code, CI/CD, monitoring, incident response, capacity planning, and SLO management. Collaborate with software engineers on resilient system design, support development environments, improve operational processes, and participate in 24x7 on-call rotation. The role requires expertise with AWS, Kubernetes, Terraform, Docker, networking, and observability, along with mentoring and leadership in SRE practices.

Owns reliability, availability, incident response, and infrastructure for a regulated SaaS platform. Maintains AWS and Azure environments using Terraform, operates Kubernetes production systems, develops automation, improves observability and deployment safety, mentors engineers, and helps establish the company’s reliability practice.

Staff Site Reliability Engineer responsible for setting infrastructure direction and owning availability, stability, scalability, observability, disaster recovery, and cloud costs for a SaaS platform. The role involves multi-cloud architecture, managed Kubernetes, infrastructure automation, GitOps delivery, incident response, business continuity, technical evaluations, platform migrations, and mentoring engineers. This is a fully remote U.S.-based position with an on-call rotation.

Lead the evolution of Azure infrastructure toward Kubernetes-based, microservices-oriented systems. Design reliable and scalable cloud infrastructure, observability, networking, CI/CD pipelines, and Infrastructure-as-Code. Drive incident response, cost optimization, capacity planning, performance improvements, and automation while partnering with engineering and data teams. Document best practices, mentor colleagues, and support platform strategy in a healthcare environment with PHI, access control, and audit requirements.

Provide technical leadership for site reliability engineering, applying software engineering practices to large-scale operations. Design automated, repeatable operational solutions; monitor service objectives, application performance, and business metrics; improve resiliency, efficiency, and cost. Support cloud and on-premise infrastructure, production applications, deployment automation, testing, and vulnerability response. Partner with software development, security, and business teams while promoting Agile practices, change management, training, and operational health.

Principal Site Reliability Engineer responsible for the availability, scalability, durability, and operational reliability of production systems. The role leads observability, incident response, SLO and error-budget practices, automation, infrastructure as code, and long-term service improvements. Responsibilities include designing monitoring and alerting frameworks, supporting Kubernetes and distributed storage environments, improving operational processes, collaborating across engineering and business teams, and mentoring reliability-focused practices. The position requires extensive experience with Linux, cloud infrastructure, containers, scripting, storage systems, and large-scale production environments.

Lead reliability, scalability, observability, automation, incident management, capacity planning, disaster recovery, and security engineering for Crunchyroll’s cloud-native data platforms. Design and operate Kubernetes and GCP infrastructure, implement Infrastructure as Code, improve SLOs and operational excellence, remediate vulnerabilities, strengthen cloud and container security, and mentor engineers across cross-functional teams.

Support and improve cloud infrastructure, Kubernetes-based microservices, CI/CD pipelines, infrastructure-as-code, observability, and production reliability. The role involves debugging application and infrastructure issues, participating in a 24/7 on-call rotation, maintaining documentation and runbooks, and collaborating with engineering and data science teams to deliver scalable, automated systems.

Build and maintain CI/CD pipelines, deployment automation, and cloud infrastructure across Azure and AWS. Manage observability with Datadog or Dynatrace, improve incident response and MTTR, provision infrastructure with Terraform, and develop automation scripts using Python, Bash, or PowerShell. Collaborate across VA engineering programs, improve platform stability, mentor junior engineers, and establish DevOps standards in a remote Agile environment.

Own the reliability, availability, performance, observability, and security of Ophelia’s GCP telehealth platform. Define SLOs, improve monitoring and incident response, expand Terraform infrastructure, strengthen CI/CD, manage disaster recovery, and address latency and Cloud Run performance. Lead on-call maturity, HIPAA/SOC 2 infrastructure controls, and reliability education for engineers. Use AI-assisted tools for automation and incident triage while partnering with technical and non-technical stakeholders.

Operate and improve large-scale AI compute, storage, and networking infrastructure in 24x7 environments. Responsibilities include capacity planning, performance analysis, patching, upgrades, firmware management, automation, incident response, documentation, disaster recovery testing, and L3 escalation support. The role also requires customer collaboration, operations enablement, and participation in an on-call rotation while supporting OpenStack or similar private cloud platforms.

Own infrastructure reliability across GCP, Kubernetes, PostgreSQL, and hundreds of cloud projects. Build automation and software that eliminate toil, reduce manual on-call work, address latency and reliability trade-offs, and provide system health visibility. Lead infrastructure projects, define service-level objectives with product teams, improve reliability practices, and develop production systems for agent-first applications.

Design, deploy, and maintain resilient AWS and Kubernetes infrastructure. Build automation, internal tools, CI/CD components, and AI-assisted operational workflows. Establish observability, SLIs, SLOs, and incident-management practices while leading postmortems and reducing toil. Ensure HIPAA compliance, review architecture, identify risks, and mentor engineers on reliability and platform best practices.

Develop and maintain reliable, scalable, and high-performing systems through automated deployments, monitoring, observability, and incident response. The role partners with development, operations, and QA teams to improve software delivery, establish reliability processes, track KPIs and SLIs, optimize database performance, and manage messaging systems. Participation in on-call rotations and occasional travel for team meetings are required.