Top Remote Senior Site Reliability Engineer Jobs in Denver & Boulder, CO

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.

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.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

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.

Operate and improve AWS GovCloud infrastructure for highly available, secure government systems. Responsibilities include SRE practices, incident response, Kubernetes and EKS administration, GitOps deployments with Helm and ArgoCD, Terraform automation, monitoring, security controls, compliance with FedRAMP and federal standards, change management, documentation, and cross-functional troubleshooting.

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.

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.

Owns operational capabilities for FedRAMP-regulated cloud environments, including monitoring, alerting, backup and recovery, continuous compliance evidence, incident response, and automation. The role leads major incident command, improves runbooks and operational standards, supports client-facing service delivery, partners on transitions to managed operations, and mentors engineers. Requires deep cloud operations, observability, infrastructure-as-code, resilience engineering, security-control frameworks, and senior escalation experience.

Manage Azure infrastructure and AKS clusters, build GitHub Actions CI/CD pipelines, and improve Grafana-based observability and incident response. Define SLIs, SLOs, and error budgets; maintain infrastructure as code with Pulumi; troubleshoot reliability issues; perform capacity planning and performance tuning; participate in on-call support; and document operational procedures. Collaborate with development teams to deliver scalable, reliable production systems.

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

Own reliability, performance, scalability, and operational standards across on-premises, private-cloud, and AWS environments. Build infrastructure-as-code, deployment automation, monitoring, alerting, and observability tooling; define SLOs, SLIs, error budgets, and readiness standards. Lead incident response, root-cause analysis, disaster-recovery readiness, release coordination, and preventive automation. Mentor engineers, coach teams on operational practices, coordinate on-call coverage, and ensure infrastructure meets security and compliance requirements.

Design, automate, and maintain scalable infrastructure and SRE tooling. Manage Kubernetes clusters, CI/CD, monitoring, and incident response. Improve processes, reduce toil via automation, and collaborate with engineering and data teams to support domestic and international workloads.

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.

Deploy and operate scalable, highly available cloud systems; improve application, network, and infrastructure reliability, security, performance, and capacity; automate cloud deployments; monitor services and SLAs; analyze logs and events; troubleshoot infrastructure issues; and provide operational recommendations for large-scale cloud platforms.

Seeking a Site Reliability Engineer with expertise in networking and distributed systems for building secure multi-cloud infrastructure. Responsibilities include maintaining network architecture and ensuring reliable service-to-service communication, involving a 24/7 on-call rotation.

Own reliability, availability, performance, and capacity for production SaaS services across Azure, AWS, and a FedRAMP High environment. Build observability, SLOs, monitoring, infrastructure automation, and remediation workflows; lead incident response, postmortems, support escalations, and disaster recovery efforts. Manage Terraform, CI/CD, Kubernetes, WAF, networking, and observability costs while improving on-call operations and collaborating with Security, Product, Support, and Development.

Lead reliability engineering for critical SaaS services by defining SLOs, managing major incidents, improving observability, architecting scalable infrastructure, advancing deployment safety, and mentoring engineers. The role partners with engineering and product leaders to balance feature delivery with system resilience, while driving reliability standards, automation, and recruiting across the SRE organization.

Build and improve Replicant’s AI-native platform, including site reliability, CI/CD, developer tooling, observability, incident management, cloud infrastructure, and autonomous-agent harnesses. Own production infrastructure reliability at scale, reduce operational toil, improve deployment workflows, participate in on-call rotation, and shape platform engineering patterns. The role uses TypeScript/Node.js, Python, Terraform, Kubernetes, Helm, GCP, and modern monitoring tools.

Build and improve Replicant’s AI-native platform infrastructure, including site reliability, CI/CD, developer tooling, observability, incident management, and agent harness systems. Own production infrastructure patterns, deployment workflows, and developer self-service across Kubernetes and cloud environments. Participate in on-call and incident response while improving scalability, availability, and operational efficiency for real-time conversational AI traffic.

Design, deploy, and maintain on-premises and cloud playout infrastructure for IP video distribution. Build automation, CI/CD pipelines, monitoring, and scalable fault-tolerant systems. Drive releases, troubleshoot broadcast incidents, mentor SREs, and provide 24/7 on-call support.

The role involves ensuring software reliability and performance, managing incidents, developing infrastructure automation, and mentoring junior engineers within a platform team.

Improve AWS production infrastructure reliability, observability, performance, and operational maturity. Build Terraform infrastructure, enhance CI/CD, automate operational work, manage incident response and on-call operations, lead postmortems, improve application resilience, support capacity planning and database reliability, and collaborate on security hardening and compliance. Mentor engineers and promote reliability practices across the organization.

Own and operate production services end-to-end to ensure reliability, scalability, performance, and operational health. Define SLIs/SLOs, perform incident response and root cause analysis, build automation and self-healing, manage production changes, and collaborate with engineering, product, and operations teams to improve system design and observability.

Audit infrastructure, deployment pipelines, monitoring, alerting, incident response, on-call practices, and internal tools. Produce actionable audit reports, implement code and configuration fixes, improve SLOs and reliability practices, advise on scalable architecture, and partner with engineers on implementation and handoff. The role is a fully remote, part-time consulting engagement with potential for full-time conversion.