Top Remote Site Reliability Engineer Jobs

Site Reliability Engineer responsible for improving the reliability, resiliency, observability, and operational stability of large-scale application and platform environments. Duties include monitoring, alerting, incident response, troubleshooting, root-cause analysis, automation, performance and capacity analysis, operational readiness, and collaboration with application, infrastructure, and platform teams. The role requires strong production engineering experience, cloud platform knowledge, infrastructure-as-code familiarity, and secure operational practices.

Design, deploy, and operate a high-performance SaaS manufacturing platform on cloud infrastructure. Ensure scalability, reliability, automation, monitoring, and KPIs. Integrate AI into dev/ops workflows, lead impactful projects, and improve uptime, latency, and efficiency. Work cross-functionally in a fast-paced startup while meeting U.S. government data access citizenship requirements.

Own the end-to-end delivery path for Virtru’s Data Security Platform, including air-gapped packaging, installation, upgrades, validation, observability, and deployment automation. Build Kubernetes test fleets, compatibility matrices, infrastructure-as-code baselines, and reproducible release harnesses. Partner with QA, Platform Engineering, deployment teams, and customers to improve reliability and eliminate operational toil. Serve as the technical authority for deployment escalations, mentor engineers, and establish engineering standards for secure, disconnected deployments.

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.

Designs, builds, and operates observability and SRE systems that improve IT service visibility, reliability, performance, and resilience. Responsibilities include metrics collection, monitoring, alerting, APM, RUM, synthetic transactions, SLOs, incident response, capacity planning, infrastructure automation, self-healing systems, and production readiness reviews. The role also applies AI-enabled operations, supports on-call rotations, reduces operational toil, and partners with development teams on architecture and chaos testing.

Own end-to-end SRE projects and hybrid infrastructure across AWS, Azure, and on-premises environments. Lead architecture, Terraform-based infrastructure, CI/CD, observability, FinOps, database reliability, security, incident response, automation, and documentation. Serve as a technical anchor through design reviews, complex debugging, mentorship, and platform strategy while participating in on-call and post-incident 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.

Lead the vision, strategy, and organizational growth of Payments SRE across reliability, observability, automation, incident management, performance, capacity planning, and disaster recovery. Manage SRE leaders and engineers supporting high-availability, low-latency payment systems. Partner with executives and engineering and product teams, drive compliance and operational excellence, mentor leaders, build reliability frameworks, and advance AI-enabled operations.

Lead the Site Reliability Engineering organization, managing and developing technical teams while driving reliability, scalability, observability, automation, and operational excellence. Responsibilities include infrastructure automation, vulnerability management, incident response, SLA and SLO analysis, monitoring improvements, post-incident reviews, ITIL processes, vendor coordination, and cross-functional reliability initiatives for large-scale production storage systems.

Designs and maintains scalable, reliable infrastructure; develops monitoring and alerting systems; improves architecture and deployment processes; automates operational tasks; troubleshoots complex issues; and documents systems and configurations. Collaborates with development, operations, data engineering, and analytics teams. Requires DevOps experience, cloud and automation expertise, incident management skills, and an active Top Secret clearance.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.

Deploy, monitor, automate, and support large-scale distributed IaaS, PaaS, and SaaS environments. Build reliable infrastructure, measure production performance, resolve complex service issues, scale systems through automation, and collaborate across engineering, DevOps, security, and IT operations teams. The role requires expertise in networking, cloud technologies, storage, virtualization, infrastructure automation, and service lifecycle management, with eligibility for Secret and TS/SCI clearances.

Own end-to-end client support, troubleshoot production issues, monitor cloud environments, respond to incidents, automate operational tasks, and lead postmortems. Develop and execute manual and automated QA tests, maintain regression suites, integrate testing into CI/CD, and validate AI-powered features. Build documentation, collaborate with engineering and product teams, and improve reliability for regulated-industry clients.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

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.

Staff Site Reliability Engineer responsible for setting infrastructure direction and owning availability, stability, scalability, observability, disaster recovery, and cloud costs for a SaaS platform. The role involves multi-cloud architecture, managed Kubernetes, infrastructure automation, GitOps delivery, incident response, business continuity, technical evaluations, platform migrations, and mentoring engineers. This is a fully remote U.S.-based position with an on-call rotation.

Lead the evolution of Azure infrastructure toward Kubernetes-based, microservices-oriented systems. Design reliable and scalable cloud infrastructure, observability, networking, CI/CD pipelines, and Infrastructure-as-Code. Drive incident response, cost optimization, capacity planning, performance improvements, and automation while partnering with engineering and data teams. Document best practices, mentor colleagues, and support platform strategy in a healthcare environment with PHI, access control, and audit requirements.

Designs and operates observability, automation, infrastructure as code, CI/CD, and reliability practices for distributed AWS systems. Partners with engineering teams to improve service visibility, scalability, performance, networking, deployment safety, incident response, and operational ownership. Participates in on-call rotations, leads incident response when needed, and drives blameless post-mortem remediation. Develops reusable platform standards for containers, service communication, secrets, routing, and production readiness.

Principal Site Reliability Engineer responsible for the availability, scalability, durability, and operational reliability of production systems. The role leads observability, incident response, SLO and error-budget practices, automation, infrastructure as code, and long-term service improvements. Responsibilities include designing monitoring and alerting frameworks, supporting Kubernetes and distributed storage environments, improving operational processes, collaborating across engineering and business teams, and mentoring reliability-focused practices. The position requires extensive experience with Linux, cloud infrastructure, containers, scripting, storage systems, and large-scale production environments.

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

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.

Designs and maintains secure GitLab CI/CD pipelines, automates vulnerability scanning, hardens and signs Docker images, enforces software supply chain security policies, and secures Kubernetes workloads. The role investigates vulnerabilities, manages Linux security and system hardening, and supports compliance with open-source licensing and security standards. Responsibilities include container security, image optimization, dependency checks, Kubernetes configuration security, and automated remediation across the AI inference platform.

Develop and maintain unified observability across Kubernetes, databases, Trino, Hadoop, and Apache Ozone. Build DORA metrics collection and service health dashboards, identify monitoring gaps, optimize Alertmanager rules, reduce alert fatigue, and provide centralized SRE expertise. The role requires strong Prometheus, Grafana, Alertmanager, PromQL, reliability metrics, incident analysis, and distributed-systems knowledge.

Designs, builds, and operates secure, highly available Kubernetes platforms and cloud infrastructure. Develops Terraform modules, backend services, automation, and CI/CD workflows while improving reliability, scalability, observability, security, and cost efficiency. Partners with engineering and product teams on distributed systems, leads incident response and postmortems, establishes SLOs and disaster-recovery practices, and mentors team members.