Top Remote Site Reliability Engineer Jobs

As a Staff Site Reliability Engineer, you'll oversee Zscaler production data center services, optimize code, and ensure cloud service availability and performance. Collaborate with cross-functional teams to improve processes and resolve escalated issues.

Lead site reliability engineering for enterprise infrastructure platforms. Build automated, self-healing systems; define and operationalize SLIs, SLOs, observability, and actionable alerting; own production services, incidents, postmortems, security, performance, and cost. Mentor engineers, lead resiliency reviews, reduce toil, and apply validated enterprise AI capabilities to incident response, SDLC workflows, and operational readiness while maintaining security, traceability, and reliability controls.

Lead SRE responsible for resiliency design reviews, mentoring, SRE best-practice adoption, building IaC and CI/CD pipelines, operating containerized services, observability and SLO-driven incident prevention, 24x7 production support, and driving AI-assisted reliability workflows with governance and auditability.

Own platform reliability, observability, incident response, scaling, capacity planning, and deployment automation. Monitor system health, debug and resolve incidents, build logging and monitoring tools, improve CI/CD pipelines, develop self-service automation, and strengthen high-availability delivery systems. The role requires clear incident communication, post-incident learning, and collaboration across engineering teams in secure, high-side environments.

Manage AWS and GCP cloud environments, scale infrastructure globally, shape technical architecture, and build reliable CI/CD pipelines. Automate security and compliance controls, improve infrastructure performance, and develop systems interacting with smart contracts across multiple blockchains. The role requires Terraform, shell scripting, GitHub Actions, Docker, production cloud operations, and observability experience, with Kubernetes, networking, and fintech compliance knowledge preferred.

Leads reliability engineering for mission-critical network services, including resiliency reviews, incident response, root-cause analysis, automation, observability, and durable remediation. Architects self-healing and guarded remediation workflows using Python, Shell, and Ansible. Provides technical leadership across SD-WAN, SDN, routing, switching, security, and traffic services while embedding SRE practices, resilience testing, AI-assisted workflows, and security controls. Mentors engineers and drives service-level objectives, error budgets, and operational readiness.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

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.

Internship SRE role responsible for availability, performance, and scalability of an e-commerce supply-chain platform. Tasks include SLO/SLA definition, observability (Prometheus/Grafana/Loki/Tempo/OpenTelemetry), incident response, capacity planning, disaster recovery for PostgreSQL, infrastructure-as-code (Terraform), CI/CD automation, and operational reliability for AI agent services. Mentored by Head of Technology/CTO with potential conversion to full-time based on performance.

Ensure production database services are scalable, resilient, high-performing, and secure. Participate in on-call rotation, monitoring, alerting, incident response, disaster recovery drills, and post-mortems. Automate operational tasks, design reliability/security controls, build observability tooling, capacity forecasts, and collaborate with developers and security to improve hybrid cloud vector and NoSQL database platforms.

Operate and improve AWS production infrastructure, infrastructure as code, Kubernetes workloads, observability, CI/CD, and incident response. The role investigates root causes, strengthens application resilience, automates operational tasks, supports database and performance reliability, maintains documentation, and participates in 24/7 on-call rotations. The engineer owns scoped reliability projects and collaborates with product engineering teams on resilient, secure, and compliant systems.

Owns the reliability, security, performance, and availability of AWS-hosted healthcare infrastructure. Builds infrastructure as code, CI/CD automation, monitoring, observability, backup and disaster recovery capabilities. Leads incident response, optimizes cloud resources, implements security controls, supports customer onboarding and migrations, and ensures compliance with healthcare privacy and software lifecycle requirements. Participates in on-call rotations and provides technical guidance to engineering and support teams.

Administer and secure the organization’s GitHub environment, including repositories, permissions, branch protections, security controls, and CI/CD workflows. Build automation with GitHub Actions, APIs, and scripting; monitor reliability against SLOs; troubleshoot incidents; and improve developer experience. Integrate identity providers and security tools, support migrations, maintain documentation, and guide teams on GitHub usage and Copilot adoption. The role requires SRE or DevOps experience, infrastructure-as-code, containers, cloud platforms, and observability tooling.

The Senior Site Reliability Engineer ensures SaaS platforms remain reliable, performant, secure, and scalable. Responsibilities include building cloud infrastructure, implementing monitoring and alerting, automating operational runbooks and deployments, managing Infrastructure as Code, applying AI-powered observability and remediation, supporting Kubernetes and cloud networking, and leading incident triage and root-cause analysis during 24/7 on-call rotations.

Develop, monitor, and maintain distributed production systems and AWS-based microservices infrastructure. Build automation, tooling, and repeatable processes that improve uptime, scalability, security, and operational efficiency. Support product engineering teams with performance, scaling, incident diagnosis, and production debugging. Analyze and tune systems, code, and networking while participating in on-call operations and blameless post-mortems.

Build and operate reliable, secure AWS infrastructure and production services. Responsibilities include managing Aurora/PostgreSQL, containers, infrastructure as code, CI/CD, deployment rollbacks, observability, load testing, security controls, compliance evidence, incident response, on-call support, and root-cause analysis for complex systems. The role requires collaboration with clients and overlap with US business hours while maintaining high ownership and delivery standards.

Operate and improve AWS-based infrastructure and complex production systems. Build infrastructure as code, containerized deployments, CI/CD pipelines, monitoring, observability, rollback processes, and load-testing practices. Manage Aurora/PostgreSQL reliability, security hardening, vulnerability scanning, compliance evidence, incident response, on-call rotations, and root-cause analysis. Collaborate with clients and teams while supporting secure, multi-tenant environments and audit-sensitive workloads.

Own reliability, scalability, security, observability, and incident response for production applications across AWS and on-premises DoD environments. Build monitoring and alerting, define SLIs and SLOs, lead post-incident reviews, automate infrastructure with Terraform and Ansible, operate Kubernetes clusters, embed RMF and STIG controls, reduce operational toil, and support secure air-gapped deployments.

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.

Build and operate reliable, observable backend systems across AWS and Python services. Responsibilities include defining SLOs and error budgets, designing monitoring and alerting, managing incident response and 24/7 on-call rotations, conducting postmortems, improving performance and capacity, automating toil reduction, maintaining infrastructure as code and deployment pipelines, and mentoring SRE engineers. The role also involves consulting with client teams, documenting operational practices, and supporting AI workloads.

Lead reliability engineering for Replit’s large-scale infrastructure by designing observability, defining SLOs and SLIs, leading incident response, automating operations, optimizing Kubernetes and GCP deployments, debugging distributed systems, and mentoring engineers. Build internal tools and integrations in Python or Go, maintain infrastructure as code and CI/CD pipelines, improve system performance and resilience, and establish reliability, security, and operational best practices across the engineering organization.

Design and operate production Agentic RAG and LLM agent systems, including adaptive retrieval, multi-hop workflows, agent harness runtimes, memory, tool calling, benchmarking, evaluation, and real-world feedback loops. Develop research-driven prototypes and improve agent intelligence across retrieval efficiency, latency, groundedness, and task success.

Develop and operate Arista’s FedRAMP CloudVision SaaS platform at scale. Responsibilities include improving reliability, scalability, observability, autoscaling, disaster recovery, capacity planning, CI/CD, network architecture, cost optimization, and cloud application security. The role develops and manages Kubernetes-native services, distributed databases, and automation using technologies such as GCP, GKE, Go, Python, Ansible, Pulumi, and Bash. Participation in a FedRAMP on-call rotation is required.

Own reliability and security of CI/CD and production services: define SLI/SLOs, lead incident response and postmortems, build observability (Datadog), operate Kubernetes and IaC (Terraform), harden pipelines with SAST/DAST/SCA and policy-as-code, and coach teams on reliability and operational best practices.