Top Remote Site Reliability Engineer Jobs

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.

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.

Leads post-incident investigations, root-cause analyses, and preventive strategies to improve reliability and time to resolution. Maintains observability tools, develops client dashboards and alerts, monitors performance metrics, and contributes to incident-response automation. Collaborates with Cloud Operations, SRE, and Engineering teams to enhance SaaS scalability and stability, troubleshoots .NET applications, and provides stakeholder visibility and technical feedback.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Lead infrastructure modernization and platform reliability across multiple cloud providers. Design infrastructure as code, operate Kubernetes and Linux environments, improve CI/CD and deployment tooling, establish SLI/SLO practices, strengthen observability, lead incident response, manage cloud costs, and partner on security and compliance. Provide technical leadership through architecture guidance, mentorship, engineering standards, and roadmap development while participating in on-call support.

Design, build, and operate cloud infrastructure and SRE capabilities for an enterprise AI platform. Responsibilities include infrastructure-as-code, landing zones, networking, Kubernetes, CI/CD, observability, incident response, SLOs, production readiness, automation, cost optimization, and support for hybrid, edge, air-gapped, and customer-controlled environments. The role is remote, client-facing, and requires strong collaboration and reliability ownership.

Design, build, and operate scalable infrastructure and CI/CD/IaC systems. Implement observability (monitoring, logging, alerting), automate reliability improvements, mentor engineers, collaborate on incident response, and participate in on-call rotations to maintain Akamai Cloud services.

The Site Reliability Engineer II ensures the reliability, availability, performance, and security of critical cloud systems and services. Responsibilities include developing automation for provisioning and configuration management, maintaining monitoring and alerting, optimizing infrastructure performance, supporting high availability, and enabling continuous integration and delivery. The role collaborates with security teams and drives operational improvements across cloud and network infrastructure.

Own reliability for Kong’s Volcano internal developer platform by defining SLOs, incident practices, and observability. Design multi-region Kubernetes infrastructure, GitOps deployment automation, preview environments, managed PostgreSQL, Redis, and object storage. Lead reliability and compliance initiatives with engineering, security, and OCTO leadership while evaluating emerging edge, serverless, vector database, and AI infrastructure technologies.

Supports the availability, performance, and reliability of a global payment platform. Responsibilities include monitoring system health, improving observability, tuning alerts, developing dashboards, investigating incidents, troubleshooting integrations and data-processing issues, and creating automation scripts and AI-powered workflows. The role collaborates with software and infrastructure teams, participates in an on-call rotation, and develops skills in cloud operations, platform engineering, incident response, and responsible AI usage.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Designs, deploys, and maintains resilient AWS and Kubernetes infrastructure. Builds automation, GitHub Actions components, internal AI-assisted operational tools, and observability systems. Leads incident response, postmortems, and SLO/SLI management while ensuring HIPAA compliance and high availability. Collaborates across teams on architecture reviews, risk reduction, clinical safety, and reliability best practices.

Lead site reliability engineering for Akamai’s compute infrastructure and services. Develop automation, define reliability requirements and standards, establish SLOs and KPIs, troubleshoot complex distributed-system and hardware issues, manage incidents and postmortems, and participate in on-call rotations. Coordinate engineering teams, support strategic initiatives, mentor engineers, and guide restoration of service-impacting issues.

Build and maintain scalable infrastructure platforms supporting domestic and international workloads. Develop CI/CD, declarative lifecycle management, Kubernetes clusters, monitoring, and automation systems. Troubleshoot infrastructure issues, respond to alerts, minimize downtime, streamline delivery pipelines and database changes, and help guide SRE team direction. Collaborate with engineers, data scientists, and technology professionals while promoting a high-performance, cross-functional culture.

Operate and maintain highly available, secure, containerized SaaS applications across AWS and Azure. Responsibilities include rotating 24x7 on-call coverage, observability, incident and security response, disaster recovery, Terraform infrastructure-as-code, CI/CD automation, cloud integration, performance optimization, and developing AI agents to automate SRE and DevSecOps workflows.

Lead the migration from legacy Azure services to a Kubernetes-based, containerized microservices platform. Design, build, and scale infrastructure, implement observability (monitoring/alerting/logging), drive incident response and SLOs, automate with IaC and CI/CD, optimize cost and networking, mentor teams, and document systems to ensure reliable, scalable healthcare platform operations.

Owns the FedRAMP-authorized AWS GovCloud environment, ensuring reliability, security, compliance, patching, vulnerability remediation, continuous monitoring, deployments, hardening, audits, incident response, and on-call support. The role requires hands-on Kubernetes, AWS, infrastructure-as-code, CI/CD, vulnerability management, automation, and regulated-environment experience, while collaborating with SRE and security teams.

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

Build and lead a centralized observability platform for satellite, ground-station, and distributed network systems. Responsibilities include scaling metrics, logging, and tracing infrastructure; defining SLOs, SLIs, and error budgets; enabling application instrumentation; automating deployments with Terraform and ArgoCD; monitoring Kubernetes, GCP, and AWS environments; and developing incident response, alerting, and reliability practices. The role includes on-call responsibilities and requires an active Top Secret/SCI clearance.

Owns production reliability for high-throughput, low-latency systems, including observability, SLOs, incident response, capacity planning, infrastructure as code, progressive delivery, chaos testing, and operational tooling. The role requires hands-on software and infrastructure engineering, production Redis/ElastiCache expertise, cloud infrastructure knowledge, security awareness, mentoring, and participation in on-call operations.

The Staff Site Reliability Engineer will manage large-scale cloud production systems, ensuring reliability and performance, while automating processes and responding to incidents.

Design and maintain reliable, scalable infrastructure for Replit’s global platform. Responsibilities include building observability and alerting systems, automating infrastructure with infrastructure-as-code, managing CI/CD pipelines, defining SLOs and SLIs, leading incident response and postmortems, maintaining runbooks, optimizing performance, and improving capacity, availability, and recovery times.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.