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

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.

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.

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.

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

Senior SRE owning availability, automation, and observability for CI/CD platform services. Build and operate infrastructure, run on-call, lead incident response, mentor engineers, drive design/capacity planning, integrate AI-assisted workflows, and improve cross-team reliability.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

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.

Lead qualification, performance validation, and production readiness for new Azure Storage hardware and firmware. Drive test planning, automation frameworks, large-scale telemetry and benchmark analysis, root-cause investigations across software/hardware/firmware, and partner with engineering and vendors to resolve reliability and performance issues.

Own the operational lifecycle of cloud-native data infrastructure: design and automate reliable deployments, observability, incident response, SLIs/SLOs, autoscaling and IaC, and improve platform efficiency and data freshness across GKE and Cloud Run.

Lead 24x7 application support for external web applications: manage incidents, perform RCA, implement preventative fixes, build monitoring/alerts, expand Splunk functionality, create dashboards, collaborate with development and platform teams, and participate in on-call rotation.

Own and improve platform performance, reliability, and deployment automation. Manage cloud infrastructure, implement IaC, monitor systems with observability tools, provide operational support for distributed applications, and integrate production learnings into development workflows.

Design and improve observability (monitoring, logging, tracing, SLIs/SLOs), build automation and CI/CD, lead incident response and reliability improvements, mentor SREs, run on-call, and apply AI/ML to operational signals to forecast and reduce risks.

This role involves ensuring the reliability and performance of ClickHouse's cloud infrastructure, collaborating with engineering teams, incident management, and driving continuous improvement in service availability.

Lead reliability and observability efforts across the org: design and maintain Kubernetes and AWS infrastructure, build CI/CD pipelines, drive IaC standards (Terraform/Crossplane), partner with 16+ teams to roll out tools and processes, participate in on-call rotation and incident response, and use AI tools to accelerate work.

Own day-to-day AWS and database operations for a serverless production platform, manage backups and disaster recovery, monitor and debug production, lead incident response and on-call, maintain infrastructure-as-code (SST/Pulumi), optimize costs, and mentor the team on operational best practices.

The Senior Site Reliability Engineer at Juul Labs ensures operational stability and performance of hybrid cloud infrastructure, leads automation, and handles critical incidents.

Design, scale, and operate secure AWS cloud infrastructure (EKS, IAM, RBAC); build and maintain IaC (Terraform/Terragrunt), GitHub Actions CI/CD, Datadog observability, and Python automation; document runbooks, participate in on-call rotations, postmortems, and Agile workflows to improve reliability and security.

Own operational excellence for cloud infrastructure: run incident management, improve reliability through automation, own a platform domain (e.g., Kubernetes, Temporal, observability), manage vendor and cost relationships, and deliver measurable reductions in incidents and costs within 12 months.

Drive reliability and observability of Epic's GCP-based platform. Own cloud infrastructure, container platform (Kubernetes/GKE), CI/CD, observability, and IaC (Terraform). Define SLOs/SLIs, reduce toil, manage security and compliance practices, participate in on-call rotations, lead incident response and post-mortems, and partner with product and data teams to troubleshoot and improve platform reliability.

Own and operate scalable infrastructure on GCP (GKE, Cloud Run, AlloyDB); author Terraform modules; manage containerized workloads; build observability in Datadog; design CI/CD in GitHub Actions; automate operational workflows; lead incident response and post-mortems; partner with engineers to improve reliability, cost, and automation.

Own and improve platform reliability, availability, and performance for Filevines systems. Build AWS infrastructure with Terraform, develop CI/CD pipelines, monitoring, and automation, define SLOs/SLIs/error budgets, lead incident response, mentor engineers, and participate in a 24/7 on-call rotation to support highly available, low-latency production systems.

Lead reliability and observability for the financial data platform: define SLOs/SLIs, build metrics pipelines, extend instrumentation across Velocity, Redpanda, MuleSoft, Snowflake, Fabric, and AWS; implement incident management (Datadog -> Incident.io -> ServiceNow), scale automation and remediation, and design AI-assisted SRE agents using Cursor for triage and root-cause analysis.

Lead the creation of SRE practices across six product teams: define SLOs/SLIs, implement observability, reduce outages, automate toil with IaC and tooling, run production readiness reviews, and train teams to improve incident detection and reliability.