Top Site Reliability Engineer Jobs

Lead architecture and implementation of reliability improvements across CrowdStrike's cloud-native platform. Build shared libraries and services, drive observability and SLO practices, perform performance and cost optimization, run resilience engineering and chaos experiments, automate infrastructure-as-code, mentor engineers, and embed with product teams to deliver scalable, highly reliable distributed systems at organizational scale.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware upgrades, repair workflows, cluster lifecycle management, BMC and Redfish tooling, and NVIDIA NVL72 and BlueField DPU operations. Diagnose failures across hardware, Linux, networking, and Kubernetes; support incident response, on-call operations, observability, root-cause analysis, and permanent remediation across cloud and on-premises environments.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Leads site reliability engineering for business-critical applications and services. Responsibilities include automating deployment and operations, monitoring SLIs, SLOs, and SLAs, improving reliability and observability, managing incident response, designing resilient solutions across environments, leading implementations, mentoring engineers, and evaluating technology improvements, costs, and vendors. The position is fully onsite at the Cleveland headquarters.

Own the reliability, availability, security, and observability of Tradeweb’s global AWS platform. Responsibilities include infrastructure-as-code automation, monitoring, SLO development, incident triage and resolution, performance analysis, architecture collaboration, and regular on-call support. The role requires cloud-native engineering, scripting, networking, Linux/Unix, security, and reliability expertise while contributing to an Agile engineering organization.

Owns production reliability for a B2B SaaS platform, including SLOs, error budgets, observability, alerting, incident response, recovery exercises, performance and capacity engineering, load testing, disaster recovery, and production readiness. The role writes automation and production code, leads incidents, coaches engineering teams, and improves reliability across Kubernetes, Azure, databases, messaging, and service infrastructure.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Defines organization-wide SRE strategy and reliability standards; architects globally distributed infrastructure; leads Kubernetes, cloud, database, automation, observability, FinOps, and production readiness initiatives. Serves as the final escalation point for major incidents, drives postmortems and architecture reviews, mentors staff engineers, influences cross-functional technical decisions, and supports due diligence for acquisitions and partnerships.

The Linux Systems Administrator will maintain and troubleshoot Linux systems, support network services, and work on systems integration while collaborating with infrastructure teams.

Deploy, operate, maintain, and scale compute, storage, and networking infrastructure supporting SpaceX manufacturing systems. Build infrastructure as code, improve observability and reliability, plan capacity, reduce operational toil, support incident response, and conduct blameless postmortems. Partner with software engineers and manufacturing teams to deliver maintainable systems, provide user support, participate in on-call rotations, and travel to sites for deployments and incidents.

Build and operate large-scale, fault-tolerant distributed systems in a DevSecOps environment. Develop infrastructure as code, automation, monitoring, alerting, and auto-remediation tools. Troubleshoot cloud infrastructure and collaborate with development and operations teams to maintain highly available systems. Participate in 24/7 incident response and problem management while applying SRE, continuous delivery, security, and operational excellence practices.

Build, maintain, and improve Weave’s cloud infrastructure for reliability, scalability, and performance. Responsibilities include automating infrastructure operations, designing highly available systems, managing Kubernetes and cloud services, developing monitoring and alerting tools, resolving production issues, and participating in a weekly on-call rotation. The role also involves Infrastructure as Code, GitOps, CI/CD, and collaboration with product engineering teams.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Lead long-term strategy and architecture for cloud and on‑prem platform infrastructure, driving Kubernetes and multi‑cloud reliability, IaC/GitOps automation, observability, SLO/SLI/error‑budget practices, incident leadership, AI‑augmented tooling adoption, and mentorship of senior engineers to improve platform resilience and developer experience.

Build and operate highly available, scalable cloud platforms and distributed security products. Responsibilities include production monitoring, incident troubleshooting, Linux and networking support, observability framework design, automation development, infrastructure management, and eliminating operational toil. The engineer will use AWS, Terraform, Kubernetes, scripting, and programming while partnering with development teams to improve reliability, telemetry, security, and system resilience.

Deploys, operates, and improves scalable, fault-tolerant cloud infrastructure. Responsibilities include maximizing uptime, building monitoring and alerting, troubleshooting critical services and Kubernetes workloads, automating system updates, creating infrastructure and deployment tooling, and collaborating with Services and Engineering teams. The role requires expertise in Linux, cloud platforms, Kubernetes, databases, configuration management, scripting, and infrastructure as code.

Develop and improve reliable, scalable Office 365 government cloud services. Responsibilities include distributed systems design, software improvements, observability, automation, production change management, troubleshooting, code reviews, on-call rotations, and incident response. The role supports Microsoft Government cloud environments with scheduled operational coverage and requires an active U.S. Government Secret clearance.

Designs, builds, and operates shared infrastructure platforms across multi-cloud and multi-region environments. Responsibilities include Kubernetes platform engineering, Go and Python automation, CI/CD, event-driven systems, distributed services, observability, service mesh, databases, REST APIs, and globally available infrastructure. The role supports internal engineering teams, provides technical guidance, maintains reliability and performance, and participates in on-call rotations.

Lead reliability, scalability, observability, automation, incident management, capacity planning, disaster recovery, and security engineering for Crunchyroll’s cloud-native data platforms. Design and operate Kubernetes and GCP infrastructure, implement Infrastructure as Code, improve SLOs and operational excellence, remediate vulnerabilities, strengthen cloud and container security, and mentor engineers across cross-functional teams.

Lead reliability, scalability, observability, automation, infrastructure, disaster recovery, and security initiatives for Crunchyroll’s cloud-native data platforms. Design and operate Kubernetes and GCP systems, establish SRE practices including SLIs, SLOs, and error budgets, manage incidents and vulnerabilities, strengthen cloud security, and mentor engineers across teams.

Support and improve cloud infrastructure, Kubernetes-based microservices, CI/CD pipelines, infrastructure-as-code, observability, and production reliability. The role involves debugging application and infrastructure issues, participating in a 24/7 on-call rotation, maintaining documentation and runbooks, and collaborating with engineering and data science teams to deliver scalable, automated systems.

Manage IAM operations for FedRAMP and commercial environments, including provisioning, deprovisioning, access auditing, ticket resolution, automation, monitoring, and IdP migrations. Develop scripts and pipelines, maintain documentation, troubleshoot incidents, and provide on-call support. The role requires cloud IAM expertise across AWS and GCP, familiarity with Okta and Entra ID, compliance knowledge, and collaboration with globally distributed teams.

Supports and scales an AI security SaaS platform through monitoring, incident response, customer troubleshooting, automation, and reliability improvements. The role analyzes logs and metrics, collaborates with development teams, enhances observability and alerting, and helps build resilient infrastructure for AI inference workloads. It requires scripting, cloud architecture, web technology, ticketing, and strong communication skills, with preferred experience in AWS, Prometheus, Grafana, Terraform, PostgreSQL, Linux, and Kubernetes.

Build and maintain resilient infrastructure for Intelligence Community systems. Responsibilities include Linux system engineering, cloud infrastructure deployment, system patching and hardening, monitoring, redundancy, scripting, automation, self-repair, and reducing operational toil. The role requires AWS experience and familiarity with DevOps and security tools, plus a TS/SCI clearance with polygraph.

Develop and maintain reliable, scalable, and high-performing systems through automated deployments, monitoring, observability, and incident response. The role partners with development, operations, and QA teams to improve software delivery, establish reliability processes, track KPIs and SLIs, optimize database performance, and manage messaging systems. Participation in on-call rotations and occasional travel for team meetings are required.