Top Remote Site Reliability Engineer Jobs

Architect, operate, and maintain resilient cloud infrastructure across Azure and AWS commercial and government environments. Support Kubernetes platforms, IaC, observability, monitoring, deployments, platform services, performance testing, and incident response. Define reliability metrics, participate in 24/7 on-call rotations, perform root cause analysis, and automate operational processes and remediation. The role requires U.S. citizenship and eligibility to obtain a Confidential, Secret, or Top Secret clearance.

Leads AI-assisted site reliability engineering across Azure and AWS. Designs observability, incident response, automation, resiliency testing, disaster recovery, chaos engineering, and recovery-validation capabilities. Establishes OpenTelemetry, SLI, SLO, error-budget, and reliability-scorecard standards; improves alert quality and operational insights; creates human-in-the-loop mitigation workflows; and mentors engineers while driving cross-functional reliability improvements.

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.

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

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

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

Operate and maintain AWS-hosted MERN applications and large-scale data workflows. Manage serverless and Spark-based pipelines, perform incident response and on-call duties, engineer automation to eliminate operational toil, ensure HIPAA/SOC2/HITRUST compliance, build observability and lead blameless post-mortems.

Senior SRE owning availability, automation, and observability for CI/CD platform services. Build and operate infrastructure, run on-call, lead incident response, mentor engineers, drive design/capacity planning, integrate AI-assisted workflows, and improve cross-team reliability.

Site Reliability Engineers will work on production infrastructure, focusing on AWS and Kubernetes while ensuring high availability and customer satisfaction.

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

Lead SRE for cloud-based live linear playout systems driving reliability, observability, incident response, SLIs/SLOs, automation, capacity planning, runbooks, and L1/L2 on-call support to ensure resilient distribution across NBCUniversal channels.

Lead enterprise SRE, DevOps, ITSM, and operational excellence for critical banking platforms. Drive reliability (SLI/SLO), automation, CI/CD, IaC, observability, incident/problem/change management, disaster recovery, and AI-enabled operational improvements while building and mentoring cross-functional teams.

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.

Architects, develops, operates, and maintains secure, resilient cloud infrastructure across Azure and AWS commercial and government environments. Builds Kubernetes platforms, infrastructure-as-code, observability tooling, monitoring, alerting, automation, and self-healing capabilities. Partners with engineering teams on SLOs, SLAs, deployments, incident response, performance testing, cost controls, security, and compliance. Participates in a 24/7 on-call rotation and improves operational processes and tooling.

Architects, builds, operates, and improves Azure commercial and government cloud infrastructure. Develops platform services, Kubernetes environments, infrastructure automation, observability, monitoring, alerting, and resiliency frameworks. Partners with engineering teams to define reliability objectives, supports production systems through an on-call rotation, and resolves root causes using automation and self-healing. The role requires strong cloud, Kubernetes, infrastructure-as-code, security, networking, and production operations expertise.

Lead technical reliability initiatives across a multi-cloud, multi-region active-active content platform. Architect and evolve core services, observability and logging, automation and capacity planning. Mentor engineers, drive cross-team reliability projects, define standards (IaC, SLOs, on-call) and proactively improve platform scalability and incident outcomes.

Build and operate AWS platforms, improve reliability and scalability, define SLOs, SLAs, and SLIs, automate provisioning and remediation, integrate monitoring and logging, support incident response and on-call operations, perform root cause analysis and postmortems, and develop observability tooling for engineering teams.

Define and scale SRE standards across teams, implement SLOs/SLIs/error budgets, build observability and resiliency patterns, drive automation and AIOps, improve reliability for large-scale Azure cloud systems, and influence engineering and platform teams.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

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.

Lead reliability and platform architecture for a GCP-primary, multi-cloud environment. Own Kubernetes platform health, network and edge architecture, infrastructure as code, observability, disaster recovery, high availability, security, capacity planning, and cloud cost optimization. Lead high-severity incident response and on-call participation, establish engineering standards and change-management practices, enable developer self-service, and mentor senior engineers. The role requires staff-level technical leadership across infrastructure and application reliability.

Owns reliability, observability, and incident response for a GPUaaS platform. Defines SLOs, builds monitoring and alerting systems, leads major incidents and post-incident reviews, automates operational processes, maintains runbooks, manages on-call operations, coordinates with engineering teams, drives chaos testing, reports SLA performance, and mentors junior engineers.

Design, build, and operate scalable blockchain infrastructure and Kubernetes platforms. Implement IaC, CI/CD, AI-powered automation, monitoring, incident response, and reliability improvements. Mentor engineers, lead cross-functional initiatives, and support network launches, upgrades, and production troubleshooting in a follow-the-sun on-call rotation.

Build and operate secure CI/CD pipelines for AI/ML platforms in regulated and classified environments. Responsibilities include producing signed release packages and SBOMs, promoting software through controlled or air-gapped environments, integrating vulnerability management and compliance evidence, operating Kubernetes and AWS workloads, implementing observability, managing incidents, and maintaining deployment documentation. The role requires collaboration with security teams and support for RMF, accreditation, and continuous monitoring requirements.

Owns reliability, observability, performance, and security for a multi-region SaaS platform. Responsibilities include managing Datadog, implementing APM and tracing, defining SLOs, developing automation, expanding infrastructure as code and CI/CD, automating operational workflows, maintaining security controls, participating in incident response, documenting procedures, and mentoring engineers.