Top Site Reliability Engineer Jobs

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

Leads the organization’s Platform Site Reliability Engineering strategy, operating model, governance, and AI-enabled automation. Builds resilient, self-healing systems; improves observability, incident response, availability, MTTR, technology risk, vulnerability remediation, cloud cost optimization, and operational readiness. Establishes SLOs, SLIs, error budgets, and reliability metrics while developing high-performing engineering teams. Provides executive leadership during major incidents and influences enterprise technology priorities.

Design and operate Procore’s next-generation cloud compute and data platform in a FedRAMP-compliant environment. Build and support distributed, highly available systems; manage Kubernetes clusters, cloud-native infrastructure, and infrastructure as code; participate across the software development lifecycle; run technical proofs of concept; and collaborate with product, UX, IT, and engineering teams to shape platform capabilities and roadmap.

Support reliability, security, scalability, and performance of the TAK CI/CD pipeline and critical infrastructure. Monitor system health, respond to incidents, patch systems, optimize performance and costs, improve DevOps practices, automate operations, and maintain technical documentation. Requires systems and network administration experience, Linux and cloud expertise, containerization, CI/CD knowledge, Zero Trust implementation experience, Security+ certification, and an active T3 investigation.

Designs and implements automation, infrastructure improvements, monitoring, observability, and infrastructure-as-code solutions for mission-critical applications and systems. Manages SLOs and SLIs, supports incident response and root cause analysis, optimizes performance and reliability, and collaborates across software, operations, and security teams in cloud and hybrid-cloud environments.

Designs and implements automation for large-scale distributed systems, develops tools for monitoring and system administration, manages cloud environments, supports system integration and testing, conducts incident and postmortem analysis, and improves operational reliability and visibility. The role supports distributed and massively parallel data environments in a mission-critical national security setting.

Leads ICIS’s operational reliability function, managing SRE team leaders and engineers while improving production resilience, observability, automation, incident response, disaster recovery, and service reliability. The role sets operational priorities, oversees post-mortems and corrective actions, balances operational and security work, communicates risks across technology and business teams, and advances AI-enabled operations. Participation in on-call support and major incident response is expected.

This internship supports Tradeweb’s Reliability and Observability Engineering team. Responsibilities include building telemetry pipelines, developing React/TypeScript monitoring tools with Python and Kotlin services, managing Terraform infrastructure, deploying to AWS Kubernetes environments, creating dashboards and alerts, expanding monitoring coverage, analyzing telemetry costs and performance, and participating in code reviews and agile ceremonies.

Design and implement scalable cloud infrastructure, monitor performance, automate processes, ensure security and compliance, and lead a DevOps team.

Operate and improve reliable, scalable cloud services through monitoring, incident management, alerting, automation, and infrastructure administration. Develop C# .NET and Python tools, support high availability and SLA commitments, improve deployment and serviceability, and collaborate with R&D, Support, Product, Marketing, and Customer Success. Document operational procedures, maintain standards, and communicate service health, incidents, upgrades, and performance to internal and external stakeholders.

The role involves creating scalable solutions using Linux and Kubernetes, troubleshooting performance issues, maintaining security, and writing automation tools.

Leads the technical vision, architecture, and roadmap for reliability across NVIDIA’s AI Platform Runtime. Designs resilient distributed platforms, establishes SLOs and reliability standards, advances observability and AI-driven automation, leads critical incident response, and drives cross-functional initiatives. The role requires mentoring senior engineers, influencing technical strategy across organizations, and delivering measurable improvements in availability, scalability, performance, and engineering productivity.

Responsible for designing, building, automating, and maintaining a secure, highly available Kubernetes-based analytics platform for federal deployments. Improve CI/CD, observability, provisioning (Terraform, Argo CD), troubleshooting, on-call incident response, and collaborate across teams to deliver Workday Prism Analytics in GovCloud.

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.