Top Site Reliability Engineer Jobs

As a Site Reliability Engineer, you'll ensure system reliability and scalability, automate processes, optimize performance, and collaborate on system design.

Own the reliability and performance of backend systems at Gamma, building automation and tooling while leading incident response and improving system stability.

Own reliability for a live fleet of Linux-based edge sensors and cloud infrastructure. Triage and recover field hardware, perform SSH-based diagnostics, build fleet management and OTA systems, implement observability and alerting, automate operational tasks, develop runbooks, and participate in on-call rotations to prevent and resolve incidents.

Support and automate cloud infrastructure (primarily Azure) for insurance applications. Implement IaC, assist deployments, troubleshoot incidents, improve security controls, and maintain monitoring and documentation while collaborating with engineers and non-technical stakeholders.

Own production reliability across cloud environments by defining SLOs, SLIs, error budgets, observability practices, and actionable dashboards. Troubleshoot incidents, perform root cause analysis, manage capacity planning, and improve service performance and availability. Build automation to reduce toil, support release management, maintain runbooks, and collaborate with engineering teams on operational readiness. Manage tools including Datadog, Prometheus, and Grafana while advancing monitoring, logging, metrics, tracing, and reliability practices.

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.

Design, deploy, and scale on-prem Kubernetes clusters and core infrastructure for Starlink. Build automation, manage databases, monitoring, and distributed storage. Collaborate with engineers to improve service lifecycle, availability, and performance; troubleshoot across the Starlink stack and drive reliability improvements.

Design, deploy, and scale on‑premise compute and core infrastructure for Starlink. Develop automation, manage databases/monitoring/distributed storage, collaborate with software teams, troubleshoot end-to-end, and improve deployment and developer velocity.

Lead infrastructure resilience by implementing observability, IaC, automation, and AI-driven detection to ensure cloud and SaaS system stability. Drive tooling, alerts, self-healing, CI/CD optimization, incident triage/restore, and partner across architecture and engineering to improve performance, reliability, and cost efficiency.

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.

Lead observability and reliability efforts: mentor teams on SLIs/SLOs, maintain triage/remediation workflows, perform incident response, debug production systems, and design core infrastructure and tooling for engineering teams.

Design, deploy, operate, and scale GPU and CPU infrastructure supporting classified national security missions. Manage Kubernetes and AI clusters, Linux systems, databases, monitoring, distributed storage, virtualization, and GPU-as-a-service platforms. Build automation for large-scale on-premise environments, improve reliability and performance, collaborate with AI engineers and customers, and mentor junior engineers. Lead technical decisions and service lifecycles while supporting high availability across Top Secret data centers.

Design, deploy, operate, and scale GPU/CPU infrastructure supporting classified national security missions. Manage Kubernetes and AI clusters, bare-metal and virtualized platforms, operating systems, databases, monitoring, and distributed storage. Build automation with infrastructure tools, improve service availability and performance, collaborate with AI engineers, mentor junior staff, and provide technical leadership. The role requires obtaining and maintaining a Top Secret clearance, extended-hours availability, and future domestic and international travel.

Design, deploy, operate, and scale GPU/CPU infrastructure for classified data centers and AI clusters. Build automation for on-premise Kubernetes clusters and operating systems, manage databases, monitoring, distributed storage, and GPU-as-a-service platforms, and improve service reliability. Collaborate with AI engineers, lead lifecycle operations, mentor junior engineers, and guide technical excellence across the team.

Own the reliability, scalability, and observability of production systems. Design and operate AWS infrastructure with Terraform and Kubernetes, build monitoring and SLOs, automate deployments and capacity management, ensure database and data pipeline reliability, partner on architecture reviews, and drive infrastructure security, compliance, and incident response.

Lead the reliability, stability, observability, and scalability of Seekr’s software platform. Design and implement systems, networks, and services that meet SLAs; develop monitoring, automation, and failure-detection solutions; conduct load testing; manage observability tools; troubleshoot production and deployment issues; and support incident response. Collaborate closely with software engineering teams across hybrid cloud and on-premises environments.

The Site Reliability Engineer will ensure the reliability, security, and support of Databricks applications while collaborating with various teams to optimize data workflows and incident management.

The Site Reliability Engineer will enhance operational resilience, ensuring system stability, observability, and debugging workflows for complex failures while improving developer focus and uptime.

As a Site Reliability Engineer, you'll ensure system reliability in a government environment, manage incidents, and collaborate with engineering teams on operational tasks and improvements while maintaining security compliance.

As a Software Engineer on the Site Reliability team, you'll ensure system reliability, scalability, and observability while partnering with engineering teams and improving incident management processes.

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.

Respond to production incidents, monitor systems with Datadog, troubleshoot Kubernetes/Docker environments, support CI/CD and automation, participate in on-call rotations, and collaborate with engineering teams to maintain availability and compliance in regulated healthcare/fintech systems.

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.

As a Staff Software Engineer in Site Reliability, you'll manage infrastructure for reliability and scalability, lead incident management, and automate operational tasks.