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

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.

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 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.

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.

The Senior Site Reliability Engineer is responsible for maintaining Wikimedia's infrastructure, improving reliability, automating processes, and collaborating with teams. The role involves troubleshooting, managing deployments, and leading incident responses while working remotely.

Design, build, and scale Kubernetes-based, multi-tenant infrastructure and CI/CD systems. Own AI tooling infrastructure (MCP servers) and secure AI access patterns. Optimize CI/CD, streaming analytics (Kafka, Flink, ClickHouse), observability, and incident response. Implement IaC (Terraform, Helm, Pulumi), GitOps (Argo CD), progressive delivery, automated testing, and mentor engineering teams.

The Senior Site Reliability Engineer will lead security design and implementation for cloud infrastructures, mentor teams, and automate security solutions.

Support and improve production SaaS infrastructure across AWS, colocation, and hosted platforms. Administer Windows and Linux systems, virtualization, storage, networking, and database support. Lead incident troubleshooting, root cause analysis, monitoring improvements, vulnerability remediation, automation initiatives, and medium-sized infrastructure projects. Collaborate on compliance (SOX/PCI/HIPAA), disaster recovery, and documentation to increase operational reliability.

Lead reliability, observability, and resilience for cloud-based financial SaaS. Define SLOs/SLIs, design monitoring/tracing, own incident response and runbooks, build IaC and automation, implement AIOps, perform chaos and load testing, and write production-grade Python tooling while ensuring security and compliance.

You will manage AWS infrastructure, automate deployments, debug application issues, and improve the operational health of Metabase Cloud.

Lead the migration from legacy Azure services to a Kubernetes-based, containerized microservices platform. Design, build, and scale infrastructure, implement observability (monitoring/alerting/logging), drive incident response and SLOs, automate with IaC and CI/CD, optimize cost and networking, mentor teams, and document systems to ensure reliable, scalable healthcare platform operations.

Lead AWS-based SRE activities for products migrated from on-prem: ensure reliability, observability, automation, CI/CD (GitOps), Kubernetes/EKS operations, Terraform IAC, database/RDS administration, networking and security, and collaborate with development and platform teams to optimize SaaS operations.

Operate and improve brokerage platform reliability: on-call incident response, define SLIs/SLOs, enhance observability, deploy infrastructure via GitOps, and own PostgreSQL performance, migrations, HA/DR, and mentoring.

Build and run Gov/Sovereign cloud SRE for Veeam Data Cloud: document platform, define SLIs/SLOs, run incident response, close observability gaps, design resilient Azure infrastructure, automate IaC/CI/CD pipelines, support on-call, and collaborate with security/compliance teams to operationalize reliability.

Lead reliability and performance efforts for distributed metadata systems: tune and optimize systems, develop monitoring and automation, manage rollouts, troubleshoot incidents, run simulations and analytics, and support database/configuration management to improve global network stability and capacity.

Lead reliability, scalability, and observability for high-density AI hardware infrastructure. Build Python automation and IaC, design telemetry and Prometheus/Grafana dashboards, implement AI-assisted tooling and anomaly detection, manage 24x7 on-call incident response, and coordinate vendor field operations to ensure uptime.

Design, implement, and operate observability and reliability for cloud platforms. Measure and monitor production systems, reduce toil via automation, drive incident response and on-call practices, and partner with product and platform teams to improve scalability, resiliency, and observability.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

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

The role involves managing compute infrastructure for decentralized applications, requiring critical thinking, documentation skills, and experience in Kubernetes and blockchain management.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.