Top Remote Site Reliability Engineer Jobs

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.

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.

Build and deploy AI/ML tools for GeForce NOW SRE operations, transforming production data, metrics, logs, and signals into incident root-cause analysis and operational forecasts. Lead LLM- and agent-based systems, develop large-scale data pipelines, optimize LLM workflows, and recommend sustainable AI platforms and architectures. The role also involves automation, Kubernetes, AWS cloud environments, monitoring, visualization, and production SRE practices.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish tooling, failure diagnosis, observability, incident response, and automated repair. The role supports NVL72 systems, BlueField DPUs, Linux, Kubernetes, and cloud or on-premises environments while coordinating across hardware, networking, platform, data center, and partner teams.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware upgrades, repair workflows, cluster lifecycle management, BMC and Redfish tooling, and NVIDIA NVL72 and BlueField DPU operations. Diagnose failures across hardware, Linux, networking, and Kubernetes; support incident response, on-call operations, observability, root-cause analysis, and permanent remediation across cloud and on-premises environments.

Build and operate automation and tooling for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish integration, failure diagnosis, reliability engineering, incident response, and automated repair. The role works across hardware, networking, Linux, Kubernetes, data center operations, and partner teams to safely bring GPU capacity into production.

Build and operate resilient, scalable distributed services through software engineering, automation, observability, incident management, self-healing, capacity planning, and secure delivery practices. Lead high-priority incident response and blameless reviews, partner with development and product teams on reliable releases, and reduce operational toil. The role includes on-call participation, production troubleshooting across application and infrastructure layers, and responsible use of AI-assisted development tools.

Leads organization-wide SRE strategy and builds reliable, scalable AWS and Kubernetes infrastructure. Establishes SLOs, observability, incident response, disaster recovery, and cost optimization practices. Develops AI gateways with governance and security controls, internal developer platforms, CI/CD tooling, and automation to reduce toil. Partners across engineering, mentors SREs, influences technical direction, and leads complex infrastructure initiatives.

Provide high-touch technical support for an internal compute platform, troubleshooting Kubernetes workloads, Docker containers, Linux systems, and networking issues. Investigate complex production problems using low-level Linux and networking tools, assist developers through onboarding and support channels, document solutions, write runbooks, participate in postmortems, and collaborate with SRE and platform engineering teams. Contribute scripts, process improvements, and structured feedback to enhance platform reliability and support efficiency.

Own reliability and observability for globally distributed software systems. Manage cloud platforms, Kubernetes, Terraform infrastructure, CI/CD, monitoring, alerting, and observability tooling. Respond to critical incidents, participate in on-call rotations, secure cloud infrastructure, automate operational tasks, scale databases, and help engineering teams adopt reliable DevOps and GitOps practices.

Own cloud infrastructure, CI/CD pipelines, observability, incident response, recovery procedures, and reliability automation across applications and AI agents. The role uses Infrastructure as Code, scripting, monitoring, SLOs, and AI-assisted operations to improve platform resilience and reduce toil.

Lead the evolution of the Password Safe platform and infrastructure across cloud and on-premises environments. Design highly available systems, optimize platform services, standardize CI/CD and infrastructure-as-code practices, and establish GitOps workflows. Build observability, SLOs, chaos engineering, and disaster recovery capabilities. Serve as a technical leader by defining SRE strategy, mentoring engineers, conducting design and incident reviews, and influencing the engineering roadmap.

Build and operate reliable, secure, scalable AWS cloud services and SaaS infrastructure. Define SLOs, SLIs, error budgets, and alerts; automate operational tasks; improve observability and CI/CD; participate in incident response and post-incident reviews; and strengthen resilience through redundancy, disaster recovery, autoscaling, and testing. Troubleshoot across applications, infrastructure, networking, databases, and dependencies while maintaining runbooks and collaborating across engineering, security, product, and operations teams.

Develop and support reliable, AI-enabled internal products and automation solutions that reduce operational toil and improve support workflows. Responsibilities include software development with Python, Angular, SQL, Databricks, and SSIS; AI model integration and evaluation; production deployment, monitoring, troubleshooting, and continuous improvement; and collaboration with engineers, architects, and stakeholders in an Agile environment.

Operate and scale Instrumental’s commercial SaaS platform on public cloud infrastructure. Build reliable distributed systems, automate infrastructure and operations, manage Kubernetes and infrastructure as code, and improve monitoring, logging, application performance, security, and compliance. Establish and measure reliability, performance, and efficiency KPIs while independently driving impactful projects in a fast-paced startup environment.

Operate, improve, and scale an AWS-based SaaS platform through production operations and engineering. Responsibilities include infrastructure automation, CI/CD, observability, incident response, root cause analysis, on-call support, reliability improvements, and operational toil reduction. The role partners with software engineers to build scalable, secure, and production-ready systems while supporting platform growth and multi-region capabilities.

Operate, improve, and scale an AWS-based SaaS platform through production operations and engineering. Responsibilities include infrastructure automation, CI/CD, observability, incident response, root cause analysis, on-call support, reliability improvements, and reducing operational toil. The role partners with software engineers to improve scalability, security, operational workflows, and production readiness.