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.

Embed with product teams to improve reliability, observability, performance, and operational preparedness. Establish on-call, monitoring, alerting, runbook, SLO, and incident-response practices; conduct game days; implement reliability improvements in Haskell and TypeScript applications; identify observability gaps; participate in on-call rotations; and champion reliability through design and code reviews.

Supports the reliability and performance of Gallup’s global technology platform through observability, dashboards, alerting, automation, and incident response. The intern will use tools including AWS, Dynatrace, PagerDuty, Slack, and infrastructure automation technologies while collaborating with site reliability, DevOps, and software engineering teams. The position is a full-time, on-site summer internship with potential part-time school-year work.

Own reliability, availability, scalability, and performance for customer-facing eCommerce microservices. Define SLOs, SLIs, and error budgets; build observability and resiliency systems; lead incident response and postmortems; automate toil and remediation; perform root-cause analysis, capacity planning, and production readiness reviews; and mentor engineers while partnering across product, security, and platform teams.

Evaluate AI-generated documents, spreadsheets, and presentations for accuracy, rigor, domain quality, and presentation quality in incident management, reliability, and SRE. Apply specialized rubrics, identify factual and aesthetic errors, and provide structured written feedback. This is a fully remote, flexible independent-contractor engagement requiring at least five years of relevant professional experience, English fluency, and proficiency with Microsoft Office and Google Workspace.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Own the architecture, reliability, scalability, security, and cost management of Cricut’s AWS platform infrastructure. Lead infrastructure-as-code practices, monitoring, incident response, SLO/SLI development, and blameless postmortems. Partner with engineering teams on platform strategy, evaluate AI/ML infrastructure, mentor engineers, and participate in 24/7 SRE on-call coverage.

Operate and improve cloud-native financial platforms through automation, observability, incident response, reliability engineering, and infrastructure hardening. Responsibilities include building deployment and remediation automation, managing monitoring and alerting, defining SLIs and SLOs, handling on-call incidents and root-cause analysis, forecasting capacity, troubleshooting production issues, and collaborating with international cross-functional teams.

The Senior Site Reliability Engineer will scale and maintain VETRO’s cloud-based FiberMap platform. Responsibilities include improving reliability, observability, incident response, automation, CI/CD, infrastructure performance, security, disaster recovery, developer tooling, and cloud cost efficiency. The role requires troubleshooting distributed systems, supporting AWS infrastructure, optimizing databases and spatial data services, participating in on-call rotations, and applying AI-enabled operational improvements.

Own the reliability, performance, and uptime of large-scale post-training and reinforcement learning systems. Debug distributed failures across accelerators, networking, storage, schedulers, and training frameworks; build monitoring, alerting, recovery, checkpointing, and scheduling tools; improve cluster utilization and fault tolerance; support production model runs through on-call rotations and postmortems; and partner closely with research teams during active training runs.

Owns end-to-end reliability for Tinker, including CI/CD, observability, service-level objectives, incident response, multi-tenant isolation, resource scheduling, and vulnerability remediation. The role designs monitoring for distributed training systems, improves recovery and checkpointing, and operates Kubernetes clusters supporting heterogeneous GPU workloads. It collaborates closely with platform, security, engineering, and research teams to improve production resilience and utilization.

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.