Top Site Reliability Engineer Jobs

Build and operate reliable, scalable platforms and services across AWS environments. Responsibilities include infrastructure automation with Terraform, CI/CD development, observability, incident response, disaster recovery testing, AI service deployment, security, infrastructure documentation, and developer enablement. The role partners with engineering teams to improve availability, performance, recovery, and operational self-service.

Build and maintain reliable, scalable platforms and services. Responsibilities include monitoring, incident response, post-mortems, disaster recovery testing, production automation, AI service deployment, infrastructure documentation, and reliability testing. The role requires advanced Terraform, AWS operations, GitHub Actions CI/CD, containerized ECS Fargate environments, networking and security expertise, Linux and scripting skills, observability, and developer enablement across engineering teams.

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.

Own production reliability across Azure, colocation, and edge Kubernetes environments. Build observability, alerting, automated recovery, high-availability architectures, deployment automation, and cost optimization. Lead incident response, troubleshoot distributed systems, improve disaster recovery and operational maturity, support platform lifecycle management, and mentor engineers. Participate in separate weekday and weekend on-call rotations for customer-facing systems.

The Senior Site Reliability Engineer improves infrastructure reliability and scalability, partners with various teams, implements IaC and CI/CD, and ensures business continuity through effective BCP/DR planning.

The Senior Site Reliability Engineer will improve the reliability, scalability, security, and performance of critical platforms. Responsibilities include infrastructure automation, AWS operations, observability, incident response, disaster recovery testing, CI/CD improvements, Terraform management, production deployments, root-cause analysis, and AI service operations. The role also supports platform migrations, develops operational tooling, establishes service-level objectives, creates documentation, and enables engineering teams through secure self-service practices.

Lead reliability initiatives for critical platforms and services by improving scalability, availability, observability, automation, and incident recovery. Responsibilities include creating monitoring and SLO baselines, supporting incidents and post-mortems, conducting disaster recovery tests, deploying AWS and AI-integrated services, building Terraform and CI/CD automation, developing observability dashboards, and enabling engineering teams through platform migration, documentation, and secure self-service practices.

Designs, operates, and improves scalable cloud and on-premise infrastructure, CI/CD pipelines, Kubernetes platforms, data streaming systems, and observability tooling. Owns AWS reliability, security, cost efficiency, automation, progressive deployments, incident response, and production troubleshooting. Partners with software engineering teams to integrate services and drive continuous improvements in system performance, scalability, and uptime.

Lead site reliability initiatives for highly available production systems across cloud and on-premises environments. Responsibilities include incident response, postmortems, root-cause analysis, remediation tracking, monitoring and observability, infrastructure automation, Kubernetes and systems support, change management, disaster recovery, and operational readiness. The role partners with engineering, security, operations, vendors, and business stakeholders while guiding less-experienced team members and improving system reliability, performance, availability, and operational quality.

Own platform reliability, performance, observability, and resilience for scalable backend systems. Mentor engineering teams on secure, performant coding practices; establish OpenTelemetry observability and service-level objectives; design and improve incident response processes; and implement automated testing. Collaborate with engineering leaders, product managers, and cross-functional teams on shared infrastructure and challenging technical solutions. The role also contributes to cloud infrastructure, CI/CD, tabletop exercises, and modern distributed systems across the organization.

Own performance, resilience, observability, and incident response for scalable backend systems across product teams. Mentor engineers on secure, reliable coding practices; implement OpenTelemetry, logging, SLOs, and automated testing; and contribute shared infrastructure solutions. The role requires expertise in Java, Spring Boot, REST APIs, microservices, distributed systems, SQL, Docker, Kubernetes, and Helm, with AWS, CI/CD, infrastructure tooling, and financial services experience preferred.

Lead reliability strategy and execution for Waymo’s critical release pipelines. Drive incident response, retrospectives, disaster recovery, capacity planning, observability, and continuous improvement. Harden production software, develop playbooks, improve on-call metrics, investigate novel events, and contribute to robust, debuggable system architecture. Partner across engineering organizations to promote reliability practices for large-scale autonomous vehicle software systems.

Own production safeguards infrastructure for Claude model launches and safety classifier deployments. Configure and verify safeguards across first-party, AWS Bedrock, and GCP Vertex platforms; lead canary rollouts, post-deployment validation, incident response, and rollback decisions. Build automation, continuous validation, repeatable deployment pipelines, and a provenance registry to reduce operational toil and configuration drift. Participate in on-call rotations and launch readiness processes.

Design, deploy, and operate large-scale, distributed IaaS/PaaS/SaaS systems with automation and monitoring. Provide primary operational support, instrument production KPIs, resolve performance issues, and collaborate across DevOps, Security, and IT teams to scale systems through automation.

Build, deploy, automate, monitor, and operate large-scale distributed IaaS/PaaS/SaaS systems. Provide primary operational support, instrument performance metrics, scale via automation, troubleshoot complex issues, and collaborate across DevOps, Security, and IT teams.

The role involves designing and implementing OpenTelemetry solutions, optimizing observability infrastructure, and supporting SRE practices and cloud deployments.

Owns reliability, observability, and incident response for a GPUaaS platform. Defines SLOs, builds monitoring and alerting systems, leads major incidents and post-incident reviews, automates operational processes, maintains runbooks, manages on-call operations, coordinates with engineering teams, drives chaos testing, reports SLA performance, and mentors junior engineers.

Responsible for the reliability, scalability, performance, and security of core systems, implementing infrastructure, maintaining cloud-native services, and developing automation solutions.

Design, build, and operate scalable blockchain infrastructure and Kubernetes platforms. Implement IaC, CI/CD, AI-powered automation, monitoring, incident response, and reliability improvements. Mentor engineers, lead cross-functional initiatives, and support network launches, upgrades, and production troubleshooting in a follow-the-sun on-call rotation.

Lead architecture and development of production-grade agentic AI and multi-agent systems for reliability engineering. Design autonomous agents, manage AI infrastructure and deployment, ensure observability/security/guardrails, automate remediation, evaluate vendors and models, and produce secure, high-quality production code to improve system reliability and engineering productivity.

Leads post-incident investigations, root-cause analyses, and preventive strategies to improve reliability and time to resolution. Maintains observability tools, develops client dashboards and alerts, monitors performance metrics, and contributes to incident-response automation. Collaborates with Cloud Operations, SRE, and Engineering teams to enhance SaaS scalability and stability, troubleshoots .NET applications, and provides stakeholder visibility and technical feedback.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Implement and maintain AWS security controls, IAM, logging, monitoring, vulnerability remediation, compliance controls, network protections, and secrets management. Build secure Terraform modules and CI/CD automation, manage security telemetry and cloud security tooling, support incident response and on-call operations, and partner with engineering and security teams to operationalize secure-by-default infrastructure.

Design, build, and operate scalable infrastructure and CI/CD/IaC systems. Implement observability (monitoring, logging, alerting), automate reliability improvements, mentor engineers, collaborate on incident response, and participate in on-call rotations to maintain Akamai Cloud services.

Develop and maintain reliable infrastructure and software platforms across engineering teams. Configure AWS accounts and networking, Kubernetes clusters, observability and monitoring tools, and CI/CD systems. Write and improve code, estimate work, collaborate across technical and non-technical teams, participate in on-call operations, and continuously improve system reliability, performance, deployment safety, and technical capabilities.