Top Remote Site Reliability Engineer Jobs in Los Angeles, CA

Own and evolve a portable data platform infrastructure across commercial cloud, government cloud, and on-premises environments. Responsibilities include infrastructure as code, security and compliance, observability, SLOs, incident response, capacity planning, backups, upgrades, deployment tooling, and runbooks. The role will establish SRE practices, support regulated customer deployments, collaborate with distributed systems engineers, and mentor a future SRE hire.

Designs, secures, and maintains Azure Government infrastructure supporting compliant, resilient cloud services. Responsibilities include zero-trust networking, automated patching and STIG enforcement, disaster recovery, Azure Virtual Desktop management, certificate rotation, monitoring, cost optimization, and audit evidence preparation. The role collaborates with security, compliance, DevSecOps, and SOC teams to meet FedRAMP, FISMA, and CMMC requirements.

Designs, operates, and secures production GCP environments for federal and regulated customers handling CUI. Responsibilities include cloud foundations, networking, IAM, encryption, monitoring, threat detection, incident response, GKE security, infrastructure automation, observability, and compliance evidence. The role translates NIST, FedRAMP, and CMMC requirements into GCP controls and supports audit readiness while reducing operational toil through Terraform and scripting. It requires strong stakeholder communication and hands-on SRE, cloud security, and GCP expertise.

Manage and maintain cloud infrastructure for performance, availability, and scalability. Deploy cloud environments, monitor system uptime and performance, support cloud migration and modernization initiatives, and implement infrastructure automation using AWS, Azure, or GCP, monitoring tools, and Infrastructure as Code.

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.

The Senior Site Reliability Engineer maintains resilient, observable SaaS platforms through monitoring, alerting, automation, CI/CD, infrastructure as code, and performance optimization. The role leads incident response, triage, root-cause analysis, and 24/7 on-call operations while applying AI/AIOps for predictive reliability and automated remediation. Responsibilities include supporting cloud infrastructure, Kubernetes environments, production security, database performance, SLOs, SLAs, and continuous improvements in collaboration with software engineering teams.

Design, operate, and support reliable customer platforms across Linux, Kubernetes, and public cloud environments. Responsibilities include OS lifecycle management, infrastructure automation, IaC, configuration management, GitOps, observability, SLOs, capacity planning, incident response, and on-call support. The role requires depth in one data platform area—Elasticsearch/OpenSearch, Redis, or Kafka-Hadoop-Spark—and willingness to learn others. It also involves customer consultation, platform architecture guidance, documentation, knowledge sharing, and reducing operational toil through scripting and automation.

Analyzes large-scale telemetry and datasets to identify content delivery performance and reliability issues. Builds software tools to automate analytical workflows and enable autonomous diagnosis. Applies statistical analysis, machine learning, networking, and distributed-systems expertise to develop targeted platform improvements. Defines and mines internal data feeds, establishes performance indicators, and partners with Engineering, Operations, and Product teams to guide feature and process adoption.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Configure and optimize Dynatrace SaaS Gen3 and SolarWinds monitoring across applications, infrastructure, cloud environments, Azure subscriptions, and networking. Build dashboards, reports, queries, alerts, and actionable insights for technical and business stakeholders. Collaborate with architecture, DevOps, security, SRE, and business teams to troubleshoot monitoring issues, maintain regulatory compliance, and document configurations, runbooks, and best practices.

Leads site reliability engineering for AWS cloud environments, building infrastructure and Infrastructure as Code capabilities. Develops automation, CI/CD pipelines, monitoring, alerting, dashboards, and Kubernetes platforms; manages IAM, patching, vulnerabilities, repositories, and incident response. Identifies performance and availability issues, conducts post-incident analysis, collaborates with delivery and platform teams, and mentors engineers.

Design, build, and operate cloud infrastructure, deployment, observability, and reliability systems. Responsibilities include infrastructure-as-code, Kubernetes, CI/CD, incident response, SLOs, cost optimization, automation, production readiness, and support for hybrid, edge, on-premises, and customer-controlled environments. The role improves platform reliability, reduces operational toil, and enables safe, consistent delivery for mission-critical customers.

The Site Reliability Engineer will manage infrastructure stability and scalability, lead cloud migrations, and optimize performance across systems while mentoring team members.

Owns the reliability of cloud private networking, firewall, and IPSec Gateway services across a global fleet. Responsibilities include phased deployments, Linux networking operations, packet-level troubleshooting, automation with Python or Shell, configuration management, monitoring with Prometheus and Grafana, alerting, runbook maintenance, incident response, SLO improvement, and technical readiness reviews.

Develop and operate Akamai’s cloud platform infrastructure, automation, observability tooling, and distributed systems. Investigate performance bottlenecks across physical, virtualized, and containerized Linux environments; improve kernel and hardware compatibility; automate infrastructure with configuration-management tools; and troubleshoot complex issues with support, operations, and engineering teams.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Enhance observability, automate operational processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role focuses on Linux internals, hardware enablement, KVM/QEMU virtualization, operating systems, nested virtualization, and large-scale infrastructure deployment.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish tooling, failure diagnosis, observability, incident response, and automated repair. The role supports NVL72 systems, BlueField DPUs, Linux, Kubernetes, and cloud or on-premises environments while coordinating across hardware, networking, platform, data center, and partner teams.

Build and operate automation and tooling for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish integration, failure diagnosis, reliability engineering, incident response, and automated repair. The role works across hardware, networking, Linux, Kubernetes, data center operations, and partner teams to safely bring GPU capacity into production.

Leads organization-wide SRE strategy and builds reliable, scalable AWS and Kubernetes infrastructure. Establishes SLOs, observability, incident response, disaster recovery, and cost optimization practices. Develops AI gateways with governance and security controls, internal developer platforms, CI/CD tooling, and automation to reduce toil. Partners across engineering, mentors SREs, influences technical direction, and leads complex infrastructure initiatives.

Lead the evolution of the Password Safe platform and infrastructure across cloud and on-premises environments. Design highly available systems, optimize platform services, standardize CI/CD and infrastructure-as-code practices, and establish GitOps workflows. Build observability, SLOs, chaos engineering, and disaster recovery capabilities. Serve as a technical leader by defining SRE strategy, mentoring engineers, conducting design and incident reviews, and influencing the engineering roadmap.

Operate and scale Instrumental’s commercial SaaS platform on public cloud infrastructure. Build reliable distributed systems, automate infrastructure and operations, manage Kubernetes and infrastructure as code, and improve monitoring, logging, application performance, security, and compliance. Establish and measure reliability, performance, and efficiency KPIs while independently driving impactful projects in a fast-paced startup environment.

Operate, improve, and scale an AWS-based SaaS platform through production operations and engineering. Responsibilities include infrastructure automation, CI/CD, observability, incident response, root cause analysis, on-call support, reliability improvements, and reducing operational toil. The role partners with software engineers to improve scalability, security, operational workflows, and production readiness.

Site Reliability Engineer responsible for improving the reliability, resiliency, observability, and operational stability of large-scale application and platform environments. Duties include monitoring, alerting, incident response, troubleshooting, root-cause analysis, automation, performance and capacity analysis, operational readiness, and collaboration with application, infrastructure, and platform teams. The role requires strong production engineering experience, cloud platform knowledge, infrastructure-as-code familiarity, and secure operational practices.

Design, deploy, and operate a high-performance SaaS manufacturing platform on cloud infrastructure. Ensure scalability, reliability, automation, monitoring, and KPIs. Integrate AI into dev/ops workflows, lead impactful projects, and improve uptime, latency, and efficiency. Work cross-functionally in a fast-paced startup while meeting U.S. government data access citizenship requirements.

Own end-to-end SRE projects and hybrid infrastructure across AWS, Azure, and on-premises environments. Lead architecture, Terraform-based infrastructure, CI/CD, observability, FinOps, database reliability, security, incident response, automation, and documentation. Serve as a technical anchor through design reviews, complex debugging, mentorship, and platform strategy while participating in on-call and post-incident improvements.