Top Site Reliability Engineer Jobs

The Site Reliability Engineer will provide support and diagnose issues within a real-time, distributed environment, focusing on large-scale application and infrastructure management, with basic required skills in UNIX/Linux, networking, SQL, and scripting languages.

Own reliability, stability, and performance of low-latency algorithmic and sequencer-based trading platforms. Troubleshoot production issues, manage releases and configurations, improve observability and automation, support client onboarding (FIX/API), conduct performance testing, mentor peers, and drive SRE best practices across teams.

The Senior SRE I will design and maintain automation for infrastructure provisioning, monitor system health, resolve production incidents, and mentor junior SREs, ensuring reliability and operational efficiency across cloud platforms.

Lead technical reliability initiatives across a multi-cloud, multi-region active-active content platform. Architect and evolve core services, observability and logging, automation and capacity planning. Mentor engineers, drive cross-team reliability projects, define standards (IaC, SLOs, on-call) and proactively improve platform scalability and incident outcomes.

Lead SRE to provide technical leadership for a multi-cloud, multi-region active-active content platform. Define automation and IaC strategy, design core platform and logging/observability systems, establish capacity and performance frameworks, lead cross-team reliability initiatives, improve on-call and incident response, mentor engineers, and proactively address systemic reliability and scaling challenges.

Define and scale SRE standards across teams, implement SLOs/SLIs/error budgets, build observability and resiliency patterns, drive automation and AIOps, improve reliability for large-scale Azure cloud systems, and influence engineering and platform teams.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

Designs, implements, monitors, and optimizes cloud-based application infrastructure and reliability. Uses IaC/NaC, observability, SLOs, CI/CD pipelines, and enterprise-authorized AI to prevent and resolve incidents, improve availability and scalability, and mentor peers on SRE best practices.

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.

Lead and operate reliability for large-scale distributed systems: deploy and monitor IaaS/PaaS/SaaS, automate scaling and deployments, instrument production for KPIs, troubleshoot performance, provide primary operational support, and collaborate with DevOps, Security, and IT Operations to ensure continuous service delivery.

Design, deploy, automate, and operate large-scale distributed IaaS/PaaS/SaaS systems. Implement monitoring, performance tuning, and automation (Ansible/Helm). Provide operational support for networking and storage (Juniper, NFS/Ceph/S3), collaborate with cross-functional teams, and ensure service reliability and continuous improvement.

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.

Design, deploy, automate, monitor, and operate large-scale distributed IaaS/PaaS/SaaS systems. Provide primary operational support, instrument production KPIs, resolve complex service issues, scale systems via automation, and collaborate with DevOps, Security, and IT teams to improve reliability and performance.

Lead SRE responsibilities to deploy, automate, monitor, and support large-scale distributed IaaS/PaaS/SaaS systems. Implement automation (Ansible/Helm), instrument production metrics, troubleshoot performance, support storage and virtualization stacks, and collaborate across Core Services, DevOps, Security, and IT Operations to ensure reliable service delivery.

Lead SRE responsible for driving reliability culture, conducting resiliency design reviews, leading incident response, improving service levels with data-driven analytics, adopting AI-assisted SRE workflows, mentoring engineers, and documenting knowledge across the organization.

Design, implement, and maintain reliable, scalable cloud-native platforms using infrastructure-as-code and CI/CD. Build observability, define SLOs/SLIs, troubleshoot incidents, reduce toil, and collaborate with engineering teams to improve availability and performance.

Lead architecture, design, and modernization of MetLife mainframe platforms. Provide technical leadership for z/OS performance, security (RACF), resilience and BCP automation, partner with stakeholders, tune systems using SMF/RMF telemetry, and drive cross-functional modernization and migration initiatives.

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.

Design, implement, monitor, and optimize cloud infrastructure and applications using IaC and CI/CD. Improve availability, reliability, and scalability; use enterprise-authorized AI for incident triage and analysis with strong validation; collaborate across teams; participate in 24x7 on-call incident response.

Designs, implements, and maintains reliable, scalable infrastructure and deployment pipelines. Automates infrastructure as code, monitors SLOs/SLIs, triages incidents, and improves system reliability collaboratively.

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.

Design, build, and operate reliable, automated CI/CD pipelines and production systems. Monitor availability and performance, conduct incident response and blameless postmortems, drive DevOps automation, provide system design and launch readiness, mentor junior engineers, and collaborate with globally distributed development, operations, and product teams to improve reliability and reduce manual work.

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.

Senior Site Reliability Engineer responsible for stabilizing and optimizing production environments: platform design, capacity planning, monitoring (SLAs/SLOs), incident response and post-mortems, performance tuning, and mentoring junior engineers to improve reliability and recovery processes.

Lead the design, automation, and scaling of global compute infrastructure across data centers, cloud, and on-prem. Operate GitOps with Rancher Fleet/Flux/Helm, build self-healing tooling, own cluster autoscaling and capacity strategy, define SLOs using Datadog, and participate in on-call rotation while mentoring peers.