Top SRE Engineer Jobs in Seattle, WA

Lead infrastructure modernization and platform reliability across multiple cloud providers. Design infrastructure as code, operate Kubernetes and Linux environments, improve CI/CD and deployment tooling, establish SLI/SLO practices, strengthen observability, lead incident response, manage cloud costs, and partner on security and compliance. Provide technical leadership through architecture guidance, mentorship, engineering standards, and roadmap development while participating in on-call support.

Design, build, and operate cloud infrastructure and SRE capabilities for an enterprise AI platform. Responsibilities include infrastructure-as-code, landing zones, networking, Kubernetes, CI/CD, observability, incident response, SLOs, production readiness, automation, cost optimization, and support for hybrid, edge, air-gapped, and customer-controlled environments. The role is remote, client-facing, and requires strong collaboration and reliability ownership.

The Site Reliability Engineer II ensures the reliability, availability, performance, and security of critical cloud systems and services. Responsibilities include developing automation for provisioning and configuration management, maintaining monitoring and alerting, optimizing infrastructure performance, supporting high availability, and enabling continuous integration and delivery. The role collaborates with security teams and drives operational improvements across cloud and network infrastructure.

Design, deploy, and operate sharded, geo-redundant distributed systems and multi-region infrastructure. Manage petabyte-scale bare-metal clusters, improve deployment/monitoring/alerting, collaborate across teams, and optimize performance throughout the software lifecycle.

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Designs, deploys, and maintains resilient AWS and Kubernetes infrastructure. Builds automation, GitHub Actions components, internal AI-assisted operational tools, and observability systems. Leads incident response, postmortems, and SLO/SLI management while ensuring HIPAA compliance and high availability. Collaborates across teams on architecture reviews, risk reduction, clinical safety, and reliability best practices.

The Sr. Site Reliability Engineer will maintain and administer enterprise systems, troubleshoot operational issues, and develop scripts. This role requires collaboration across teams and participation in project planning and execution.

In this role, you will manage day-to-day operations of Internet-based enterprise systems, identify operational issues, develop tools for maintenance, and collaborate on infrastructure documentation and project execution.

Responsible for monitoring, provisioning, and customer interactions, with a focus on maintaining high availability in complex web environments.

Design, operate, scale, and automate HPC clusters and services for silicon design workflows. Manage infrastructure-as-code, CI/CD pipelines, observability, and storage automation. Collaborate with cross-functional teams to eliminate performance bottlenecks and accelerate simulation and regression turnaround times.

The Senior Site Reliability Engineer will automate operations, optimize workflows for teams, manage secure infrastructure, and participate in on-call duties.

The role involves end-to-end ownership of AWS infrastructure, managing Kubernetes platforms, and ensuring system reliability through observability and automation. Responsibilities include incident response and maintaining CI/CD systems.

Own and operate large-scale infrastructure for sports betting and media platforms across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and alerting, support development teams, and participate in incident response. The role requires strong distributed-systems expertise, production troubleshooting, cross-team project leadership, technical communication, and mentoring.

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

Build and lead a centralized observability platform for satellite, ground-station, and distributed network systems. Responsibilities include scaling metrics, logging, and tracing infrastructure; defining SLOs, SLIs, and error budgets; enabling application instrumentation; automating deployments with Terraform and ArgoCD; monitoring Kubernetes, GCP, and AWS environments; and developing incident response, alerting, and reliability practices. The role includes on-call responsibilities and requires an active Top Secret/SCI clearance.

Design, deploy, and maintain resilient cloud infrastructure for Ping Identity’s mission-critical services. Build and optimize automated CI/CD pipelines, support cloud security and observability, evaluate technologies, participate in planning and on-call rotations, and help improve engineering practices. Collaborate across development and operations teams while sharing expertise and supporting distributed production systems.

Operate and scale ThousandEyes Federal region infrastructure in a FedRAMP-compliant AWS environment. Design, deploy, and automate cloud-native services, implement IaC, monitor and audit systems, collaborate with security teams to remediate vulnerabilities, participate in 24x7 incident response and capacity planning, and ensure platform reliability, performance, and compliance.

Lead design and implementation of a Kubernetes-based self-service platform, driving infrastructure-as-code, GitOps practices, datastore provisioning, observability, and architectural standards. Partner with application teams to resolve performance bottlenecks and build scalable, automated platform solutions for large-scale distributed systems.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Lead and own reliability for critical backend and distributed systems: design, launch, on-call, incident leadership, SLO/SLI/error budget definition, automation to remove toil, observability improvement, resilience testing, mentoring, and cross-team reliability initiatives for production healthcare workflows.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Own and scale the GPU compute fleet: build metrics, alerting, observability, and repair automation; design GPU qualification/burn-in pipelines; own Redfish/BMC tooling and firmware telemetry; run incidents, eliminate toil, and deliver end-to-end reliability and orchestration for Kubernetes and bare-metal compute at hyperscale.

As a Site Reliability Engineer, you'll build and manage observability platforms for satellite communications, define SLOs/SLIs, and collaborate on incident response and deployment automation.

Assist with monitoring system performance, uptime, and reliability; support incident response, troubleshooting, and root cause analysis; monitor SRE alerts in Slack and report issues; learn cloud platforms; and collaborate with development and DevOps teams.