Top Remote Senior Level DevOps & Platform Engineering Jobs in CO

Leads a DevOps engineering team while designing and maintaining CI/CD pipelines, cloud infrastructure, monitoring, security controls, infrastructure as code, containerized microservices, and disaster recovery processes. The role focuses on improving developer efficiency, system reliability, scalability, performance, and cost-effectiveness. Responsibilities include incident troubleshooting, root-cause analysis, stakeholder communication, cross-functional collaboration, and participation in on-call support.

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.

Administer and optimize enterprise SQL Server databases across on-premises and AWS environments. Responsibilities include performance tuning, query optimization, high availability and disaster recovery, replication, backup and recovery, migrations, security, automation, monitoring, and production support. The role collaborates with application, SRE, and cloud teams, provides architectural guidance, supports database reliability, and participates in a 24x7 on-call rotation.

Leads the architecture, design, deployment, and operation of enterprise middleware messaging and streaming integrations. Designs multi-region, multi-datacenter platforms with geo-replication, failover, high availability, fault tolerance, and low-latency performance. Evaluates messaging technologies, establishes deployment and monitoring standards, automates infrastructure, collaborates with stakeholders, and mentors junior engineers. The role requires extensive experience with Kafka, RabbitMQ, cloud messaging services, Kubernetes, Docker, clustered environments, and resilient high-volume systems.

Design, implement, administer, and maintain Splunk environments across on-premises and cloud infrastructures. Responsibilities include upgrades, patching, system health monitoring, troubleshooting, data onboarding, log parsing, indexing, normalization, SPL query development, and creation of dashboards, reports, and alerts. The role partners with application and network teams to identify data sources and supports operational, security, and business analytics.

Design, deploy, and maintain Google Cloud infrastructure supporting internal IT. Build repeatable Terraform-based deployments, manage GCP architecture and networking, implement security and compliance controls, monitor performance and costs, troubleshoot cloud environments, and maintain documentation. Collaborate with IT, security, and engineering teams while supporting Azure, AWS, on-premises connectivity, Kubernetes workloads, and infrastructure integration during acquisitions.

Lead a globally distributed IT engineering team building enterprise integrations, workflow automation, orchestration, and AI-native workflows. Set technical direction, establish roadmaps, manage delivery metrics, and partner with business and service operations leaders to eliminate manual work. Guide engineers on architecture, CI/CD, testing, and development practices while evaluating emerging automation and AI tools. Build integrations across identity, ITSM, SaaS, and enterprise systems, and grow team capabilities across US and India time zones.

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.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.