Top Remote Site Reliability Engineer Jobs

Maintains, deploys, troubleshoots, and optimizes large-scale HPC infrastructure at Oak Ridge National Laboratory. Responsibilities include cluster validation, node failure diagnosis, system and performance tuning, log analysis, application build and configuration support, ticket management, documentation, and development of automation, scripting, and monitoring tools. The role supports high-stakes scientific research and requires onsite work, U.S. citizenship, and high-level security clearance.

Maintain, deploy, troubleshoot, optimize, and monitor large-scale high-performance computing infrastructure at Oak Ridge National Laboratory. Responsibilities include cluster validation, node failure diagnosis, application builds, log analysis, performance tuning, automation, scripting, and collaboration with researchers and internal technical teams. The role requires Linux, Python, Bash, SLURM, HPC, GPU, MPI, and compiler expertise, along with U.S. citizenship and a minimum Top Secret clearance.

Leads AWS cloud production management and site reliability engineering across business-critical services. Defines SLI/SLO practices, error budgets, observability, capacity planning, resiliency, infrastructure automation, and cost optimization. Drives major incident response, root-cause analysis, production readiness, disaster recovery, and durable remediation across engineering teams. Establishes responsible AI-assisted development practices and communicates complex technical strategies to leadership in a regulated environment.

Leads software reliability engineering for cloud applications and infrastructure. Designs CI/CD pipelines, infrastructure as code, observability, monitoring, and scalable production systems. Responds to alerts, provides on-call support, improves service reliability, and promotes SRE practices. Develops data pipelines and coaches teams on secure, responsible AI-assisted engineering, including validation of AI-generated code and recommendations.

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.

Manage deployments, operations, incident response, and on-call support for products in classified government environments. Oversee AWS, private cloud, container, and virtual machine infrastructure for stability and scalability. Develop Python scripts, containerized services, and monitoring systems to automate operations and reduce disruptions. Build and enhance classified-environment services while advancing DevOps practices, documentation, escalation management, vulnerability scanning, patching, and compliance monitoring.

Lead the architecture, operation, and reliability of Cisco ThousandEyes’ FedRAMP-compliant AWS GovCloud platform. Build resilient cloud-native services using infrastructure as code, maintain high availability and security for high-volume data streams, automate compliance controls and auditing, and optimize multi-region infrastructure. Collaborate with engineering and security teams, lead technical initiatives, address operational risks, and establish engineering standards for regulated environments.

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Automate operational processes, optimize cloud capacity, manage product releases, implement monitoring and alerting, resolve production incidents, maintain monitoring configurations, and participate in on-call support for reliable, scalable infrastructure.

Leads site reliability engineering for AWS cloud environments, building infrastructure and Infrastructure as Code capabilities. Develops automation, CI/CD pipelines, monitoring, alerting, dashboards, and Kubernetes platforms; manages IAM, patching, vulnerabilities, repositories, and incident response. Identifies performance and availability issues, conducts post-incident analysis, collaborates with delivery and platform teams, and mentors engineers.

Design, build, and operate cloud infrastructure, deployment, observability, and reliability systems. Responsibilities include infrastructure-as-code, Kubernetes, CI/CD, incident response, SLOs, cost optimization, automation, production readiness, and support for hybrid, edge, on-premises, and customer-controlled environments. The role improves platform reliability, reduces operational toil, and enables safe, consistent delivery for mission-critical customers.

Improves the reliability, scalability, and observability of AI development and deployment platforms. Develops automation, CI/CD and GitOps workflows, dashboards, alerts, tests, and release validation processes. Investigates incidents, reduces operational toil, supports Kubernetes-based infrastructure, and collaborates across engineering teams on platform health. The role also includes autonomous-system integration, verification, validation, testing, and hardware/software interface troubleshooting.

Lead reliability improvements for AI development and deployment platforms through software engineering, automation, observability, testing, and incident-response enhancements. Own reliability initiatives from design through implementation and adoption, standardize CI/CD, GitOps, progressive delivery, and telemetry practices, and develop reusable tooling for health validation and recovery. Integrate and test autonomous hardware and software systems, coordinate verification and validation, analyze test results, mentor engineers, and collaborate across teams.

The Site Reliability Engineer will manage infrastructure stability and scalability, lead cloud migrations, and optimize performance across systems while mentoring team members.

Maintain and improve production service reliability by building automation, monitoring and alerting, participating in on-call incident response, and partnering with engineering and operations to embed reliability practices and reduce operational toil.

Maintains reliability, availability, security, and performance of healthcare IT, clinical device, IoT, and building automation systems. Develops monitoring and reporting, troubleshoots outages, manages vulnerabilities and device lifecycles, supports disaster recovery, migrations, releases, redundancy, and downtime exercises, and performs root-cause analysis. Collaborates with clinical engineering, cybersecurity, facilities, vendors, and IT teams to protect clinical operations and improve system resilience in a highly regulated environment.

Owns the reliability of cloud private networking, firewall, and IPSec Gateway services across a global fleet. Responsibilities include phased deployments, Linux networking operations, packet-level troubleshooting, automation with Python or Shell, configuration management, monitoring with Prometheus and Grafana, alerting, runbook maintenance, incident response, SLO improvement, and technical readiness reviews.

Provides production support and SRE capabilities for mission-critical applications, ensuring availability, performance, and reliability. Responsibilities include monitoring, troubleshooting Java and SQL-based systems, incident response, root-cause analysis, releases, deployments, observability improvements, automation, documentation, disaster recovery, and support across AWS, OpenShift, and containerized environments. The role requires collaboration with globally distributed teams and participation in rotating 24x7 support.

Site Reliability Engineer responsible for maintaining availability, performance, and recoverability of payment, payables, and banking platforms. Duties include building monitoring and alerting, responding to incidents, facilitating postmortems, defining SLIs and SLOs, writing runbooks, automating infrastructure and CI/CD processes, supporting safer releases, and testing failover and disaster recovery. The role requires AWS, Kubernetes, observability, scripting, infrastructure-as-code, Linux, networking, and production on-call experience.

Leads AWS cloud production management and Site Reliability Engineering practices for business-critical banking services. Defines SLOs, SLIs, error budgets, observability, capacity planning, resiliency, and disaster recovery strategies. Directs major incident response, root-cause analysis, and corrective actions; advances infrastructure automation, cloud cost optimization, and multi-region architecture. Establishes production readiness and operational standards while guiding responsible AI-assisted engineering adoption and communicating technical strategy to leadership.

Lead cloud and SRE engineering practices for business-critical AWS production services. Responsibilities include production readiness, incident response, observability, SLI/SLO and error-budget management, resiliency and disaster recovery, infrastructure automation, cloud cost optimization, architecture strategy, and responsible adoption of AI-assisted engineering tools. The role also drives root-cause analysis, operational risk reduction, service health measurement, and technical standards across multiple engineering teams.

Leads AWS cloud architecture and site reliability engineering for business-critical production services. Responsibilities include production readiness, incident response, observability, SLI/SLO and error-budget management, capacity planning, resiliency, disaster recovery, infrastructure automation, cloud cost optimization, and major incident remediation. The role also establishes operational standards, advances responsible AI-assisted engineering practices, and communicates complex technical strategies to leadership in a regulated financial-services environment.

Develop and operate Akamai’s cloud platform infrastructure, automation, observability tooling, and distributed systems. Investigate performance bottlenecks across physical, virtualized, and containerized Linux environments; improve kernel and hardware compatibility; automate infrastructure with configuration-management tools; and troubleshoot complex issues with support, operations, and engineering teams.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Enhance observability, automate operational processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role focuses on Linux internals, hardware enablement, KVM/QEMU virtualization, operating systems, nested virtualization, and large-scale infrastructure deployment.