Top Site Reliability Engineer Jobs

The Staff Engineer will define reliability architecture, automate foundational utilities, develop observability tools, ensure environment integrity, and mentor colleagues.

Design, implement, and optimize global cloud infrastructure and platforms for an IoT service. Lead platform improvement initiatives, automate infrastructure (IaC/GitOps), ensure observability and security, troubleshoot incidents, mentor SRE team members, and collaborate with executives, architects, and security stakeholders to execute the infrastructure roadmap.

Lead and mentor SRE teams to design and operate highly reliable cloud platforms. Drive resiliency reviews, incident leadership, SLO/SLI definition, observability, CI/CD and container practices, and adopt enterprise-authorized AI to accelerate incident triage while ensuring security, auditability, and guardrails.

Design, implement, and maintain reliable, scalable cloud infrastructure and deployment pipelines. Monitor and optimize application availability using observability, SLOs, and telemetry. Automate infrastructure/configuration as code, troubleshoot containers and networking, collaborate across teams, and apply enterprise-authorized AI to accelerate incident triage and reliability improvements while ensuring data sensitivity.

Lead design and implementation of observability and reliability for payments services. Define NFRs/SLOs, mentor engineers, drive AI-assisted reliability workflows, reduce toil, ensure auditability/security, and contribute to firm-wide SRE community and tooling.

Operate and maintain on‑prem, air‑gapped Linux infrastructure for US government customers. Design, deploy, and monitor hardware, networking, containers, and orchestration; automate operational tasks; troubleshoot production incidents; collaborate on SLOs and participate in on‑call support. Frequent travel to secure sites and working in classified environments required.

The SRE will ensure the reliability of backend systems, scale Kubernetes-based control planes, and improve automation mechanisms while managing incident processes.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Leads reliability standards across Infrastructure Engineering by developing Service Level Objectives, Service Level Indicators, error budgets, observability reporting, and reliability measurement practices. Partners with engineering teams to connect infrastructure performance to application and customer experiences, analyzes distributed-system failure modes, and influences teams through technical guidance, mentoring, and communication with senior leadership.

Designs, deploys, monitors, and optimizes applications and infrastructure using site reliability engineering practices. Builds infrastructure and configuration as code, develops CI/CD and deployment approaches, improves availability and scalability through SLOs and observability, and resolves complex incidents. The role also applies authorized AI tools for triage and operational analysis, validates recommendations, supports containerized cloud environments, and helps teammates adopt reliability best practices.

Defines enterprise-wide reliability, scalability, performance, and observability standards for critical production services. Leads reliability architecture across AWS, hybrid data centers, and customer-hosted environments; establishes SLIs, SLOs, and error-budget governance; drives fault tolerance and operational sustainability; leads critical incident response and blameless postmortems; and guides teams toward a proactive, engineering-first SRE culture.

Own Garner’s cloud reliability strategy across AWS and Kubernetes, including SLOs, observability, incident response, infrastructure automation, cost optimization, and security compliance. Lead complex incident resolution, architect Terraform-based infrastructure, establish deployment and monitoring standards, mentor engineers, and use AI tools to automate operational work. Support high-scale AI/ML workloads while setting technical direction for platform reliability and production quality.

Leads SRE delivery for security-focused applications by enforcing SDLC quality gates, SLOs, operational readiness, resilience, monitoring, and secure CI/CD practices. Oversees incident response, capacity planning, cloud infrastructure, automation, root-cause analysis, and continuous improvement across distributed systems. Partners with Product, Engineering, SRE, and Security leaders while coaching teams on DevOps and reliability principles.

Maintains and improves application and infrastructure reliability through automation, monitoring, incident response, SLO/SLI management, and infrastructure as code. Designs CI/CD and deployment approaches, troubleshoots cloud, container, networking, and database environments, and proactively reduces operational toil. Collaborates with engineering teams and stakeholders to improve availability, scalability, and operational performance while applying authorized AI tools to accelerate troubleshooting and reliability analysis.

The Site Reliability Engineer will ensure systems run smoothly, work with automation tools, resolve issues, and drive operational improvements.

Lead the SRE function for NinjaTrader’s trading platform, ensuring availability, scalability, performance, and 99.95% uptime. Responsibilities include managing Kubernetes services, resolving production incidents, participating in a 12x7 on-call rotation, automating deployments and operational tasks, designing monitoring and alerting systems, establishing SLIs/SLOs, using Terraform for infrastructure automation, and implementing cloud security and compliance practices. The role also mentors engineers and collaborates cross-functionally on reliable platform delivery.

Lead SRE for AI platforms responsible for driving reliability culture, designing resilient systems, leading incident response, mentoring engineers, establishing SLOs/error budgets, applying AI-assisted operational workflows, and improving observability, CI/CD, container orchestration, and automation across services.

Lead and manage an SRE/Platform engineering team to ensure reliability, scalability, and performance of CrowdStrike's cloud-native security platform. Provide technical leadership, incident command, SLO-driven reliability, capacity planning, automation, and mentorship while collaborating with cross-functional teams.

SREs at Citadel focus on optimizing and maintaining system reliability, performance, and automation for investment applications, collaborating closely with teams.

The Site Reliability Engineer will maintain high-performance cloud and on-premises services, automate tasks, troubleshoot production issues, and collaborate with product teams.

Responsible for managing operations within classified environments, overseeing cloud infrastructure, automating tasks, and ensuring system stability in a high-security setting.

The Lead Site Reliability Engineer will ensure reliability, scalability, and performance of Mastercard's applications, enhancing operational practices and developer collaboration in a proactive environment.

Build and maintain automation and reliability for live video distribution across on-prem and cloud. Deploy and manage systems, develop monitoring and automated recovery, troubleshoot complex incidents, coordinate with vendors, document SOPs, support live broadcast components, and participate in L2 on-call rotation.

Lead the design and roadmap for global Active Directory and identity infrastructure, implement Identity-as-Code and GitOps automation, own incident escalation and observability, define delegation/tiered administration, integrate applications with Okta and cloud identity, mentor teams, and publish identity architecture and security best practices.

Design, implement, and maintain reliable, scalable cloud infrastructure and SRE practices for critical applications. Build IaC, CI/CD pipelines, observability, and incident response; apply enterprise-authorized AI to accelerate triage while validating outputs and protecting sensitive data.