Top Remote Senior Level DevOps & Platform Engineering Jobs in CO

Leads the data infrastructure platform team responsible for production services supporting batch, streaming, analytics, and machine learning workloads. Oversees people leadership, platform strategy, reliability, security, scalability, cost efficiency, incident response, roadmap execution, and cross-functional collaboration. Builds self-service developer experiences, standardized CI/CD, observability, infrastructure automation, and service ownership practices across Airflow, Flink, Spark, Kafka, Snowflake, Iceberg, AWS, and ML platforms.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Own and evolve AWS cloud infrastructure supporting a financial and hospitality technology platform. Design highly available systems, deployment pipelines, observability, security controls, and infrastructure migrations. Lead incident response, reliability planning, capacity management, and root-cause analysis while participating in on-call rotations. Partner with application engineers, establish infrastructure standards, and mentor platform engineers as the organization scales.

Leads the Tooling engineering team responsible for developer experience, CI/CD, deployment automation, release workflows, observability, internal developer platforms, and AI-assisted engineering tools. Partners with Infrastructure, Security, and Product Engineering leaders to improve reliability, engineering productivity, software delivery performance, and developer satisfaction. Sets technical direction, manages roadmaps, coaches engineers, and drives cross-functional platform initiatives.

Design, build, and manage scalable AWS infrastructure; optimize GitHub-centric CI/CD; implement observability stacks; automate compliance for GovRAMP/FedRAMP and SOC2; author audit-ready documentation and runbooks; collaborate with engineering and security teams to ensure high availability and reliability.

Designs and owns Webflow’s foundational cloud and source-control infrastructure, including multi-account landing zones, networking, DNS, PKI, secrets, Infrastructure as Code, GitHub delivery pipelines, self-service hosting patterns, policy guardrails, observability, cost controls, and security baselines. Partners with SRE, security, and developer productivity teams to improve reliability, scalability, adoption, and performance while managing cloud vendors and tooling relationships.

Design, build, and operate cloud-native, enterprise-grade SaaS services on Azure. Lead architecture and design, develop APIs and UIs, apply AI-enabled engineering tools, ensure observability, support production incidents, and drive reliability, performance, and CI/CD improvements across teams.

The Lead Infrastructure Engineer will define and build infrastructure at Atticus, managing platforms, security, reliability, and empowering engineering teams.

Lead architecture and delivery of Control Center platform capabilities (MCP tool registries, AI orchestration, access automation). Design agentic AI integrations, HITL workflows, and evaluation/guardrail frameworks. Own backend services, SLOs, observability, incident response, and operational readiness for Tier-1 systems. Drive cross-team technical direction, author TDDs, run design reviews, mentor engineers, and partner with Product and Security to deliver secure, scalable platform primitives.

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.