Top SRE Engineer Jobs in Denver & Boulder, CO

Lead cloud, DevOps, and SRE architecture efforts to scale CareSource's digital platform. Partner with Cloud, DevOps, Security, and SRE teams to design infrastructure, build Terraform templates, enhance CI/CD pipelines, implement monitoring/alerting, and improve reliability, scalability, and incident response for enterprise-scale digital products.

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Designs, deploys, and maintains resilient AWS and Kubernetes infrastructure. Builds automation, GitHub Actions components, internal AI-assisted operational tools, and observability systems. Leads incident response, postmortems, and SLO/SLI management while ensuring HIPAA compliance and high availability. Collaborates across teams on architecture reviews, risk reduction, clinical safety, and reliability best practices.

Own and operate large-scale infrastructure for sports betting and media platforms across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and alerting, support development teams, and participate in incident response. The role requires strong distributed-systems expertise, production troubleshooting, cross-team project leadership, technical communication, and mentoring.

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

Build and lead a centralized observability platform for satellite, ground-station, and distributed network systems. Responsibilities include scaling metrics, logging, and tracing infrastructure; defining SLOs, SLIs, and error budgets; enabling application instrumentation; automating deployments with Terraform and ArgoCD; monitoring Kubernetes, GCP, and AWS environments; and developing incident response, alerting, and reliability practices. The role includes on-call responsibilities and requires an active Top Secret/SCI clearance.

Design, build, and maintain scalable cloud infrastructure across AWS GovCloud and Azure. Develop automated deployment, monitoring, observability, incident response, and resilience testing systems. Establish SLOs, manage error budgets, troubleshoot application operations, and enforce FedRAMP security practices. Collaborate with architecture and software engineering teams to improve availability, performance, and automation across mission-critical SaaS and PaaS platforms.

Design, deploy, and maintain resilient cloud infrastructure for Ping Identity’s mission-critical services. Build and optimize automated CI/CD pipelines, support cloud security and observability, evaluate technologies, participate in planning and on-call rotations, and help improve engineering practices. Collaborate across development and operations teams while sharing expertise and supporting distributed production systems.

Provides technical leadership for site reliability and operational development. Designs automated, repeatable cloud and infrastructure solutions; monitors service objectives and business metrics; improves application resiliency, performance, efficiency, and cost. Builds monitoring, deployment, testing, and vulnerability-response automation while supporting mission-critical production systems. Collaborates with software, security, product, and business teams, conducts technical training and resilience exercises, and promotes sound development, change-management, and operational practices.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Own fleet-scale reliability, upgradeability, and operational excellence for an edge platform. Design and operate automated, secure lifecycle systems, observability, and incident response. Lead cross-domain, high-severity incident ownership, set production standards (SLOs/SLIs, change management), mentor engineers, and apply AI to accelerate diagnostics and operational workflows.

As a Site Reliability Engineer, you'll build and manage observability platforms for satellite communications, define SLOs/SLIs, and collaborate on incident response and deployment automation.

Assist with monitoring system performance, uptime, and reliability; support incident response, troubleshooting, and root cause analysis; monitor SRE alerts in Slack and report issues; learn cloud platforms; and collaborate with development and DevOps teams.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

Own and improve production infrastructure reliability, deployments, Infrastructure-as-Code, Kubernetes environments, automation, CI/CD, monitoring, alerting, and observability. Investigate incidents, optimize system performance, maintain documentation and runbooks, and support DNS, WAF, CDN, and caching infrastructure. The role requires strong Linux administration, Bash scripting, networking, Git, and containerization skills, with independent ownership and collaboration across development and operations teams.

The Site Reliability Engineer will ensure reliable cloud operations by applying Python for infrastructure automation, managing OpenStack and Kubernetes, and practicing devsecops in a fast-paced environment.

As a Site Reliability Engineer II, you'll automate tasks, monitor AI workloads, enhance dashboards, support CI/CD processes, and collaborate with engineering teams on complex issues while participating in on-call rotations.

This role involves managing Kubernetes clusters, cloud infrastructure, and CI/CD pipelines. The engineer will enhance system reliability and efficiency while troubleshooting production issues.

Lead reliability practices across teams: embed early in projects, define SLIs/SLOs, build multi-cloud paved roads with Terraform, run on-call, drive org-wide incident maturity and tooling.

Own reliability and security of CI/CD and production services: define SLI/SLOs, lead incident response and postmortems, build observability (Datadog), operate Kubernetes and IaC (Terraform), harden pipelines with SAST/DAST/SCA and policy-as-code, and coach teams on reliability and operational best practices.

Leads SRE engineering leaders and engineers while defining enterprise observability, reliability, and platform strategy across GCP, on-premise, manufacturing, distribution, and campus environments. Oversees vendor-agnostic tooling, OpenTelemetry integrations, CI/CD observability, SRE maturity models, and Agentic AI initiatives. Drives adoption of SRE practices, develops technical roadmaps, partners with senior leadership and operational teams, and maintains hands-on architectural and technical credibility.

Design, build, and maintain highly available cloud-native systems. Improve reliability through automation, CI/CD, Kubernetes, observability, and incident management. Collaborate with developers, security, and product teams to define SLOs, implement self-healing, debug production issues, and ensure secure deployments.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.