Top Platform Engineer Jobs in Denver & Boulder, CO

The Staff Data Platform Engineer will architect the data platform, define integration patterns, establish data governance, and mentor teams across the organization while ensuring data reliability and self-service capabilities.

The Platform Engineer will design, deploy, and maintain Kubernetes and OpenShift clusters, build CI/CD pipelines, and enhance platform reliability through automation and best practices. Will also ensure compliance with security standards and communicate technical concepts effectively.

Lead the design and implementation of HIPAA-compliant systems on a healthcare platform, ensuring continuous compliance and integrating clinical data. Mentor engineers and drive innovations in health tech.

The DevOps/Platform Engineer will manage Caliola's cloud and on-prem infrastructure, ensuring compliance with security and operational requirements and supporting development teams.

The Senior AI Platform Engineer will lead technical onboarding to the Databricks platform, connect data sources, and implement governance and cost management for AI use cases.

The AI Platform Engineer II will manage Databricks environments, implement automation and governance for AI infrastructure, and ensure platform reliability.

The Senior Automation Platform Engineer is responsible for developing CI/CD automation processes for 5G networks, utilizing cloud-native solutions, scripting, and managing monitoring stacks to ensure system health and compliance.

Design and maintain scalable infrastructure, manage delivery pipelines, improve DevOps practices, and mentor team members in platform engineering at Forge.

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

The Software Engineer will enhance backend data systems for marketing, collaborating with teams to ensure reliability and observability while scaling data platforms.

As a Software Development Engineer in Test, you'll design automated test suites for complex systems, enhance testing infrastructure, and support software delivery in a collaborative environment, focusing on quality assurance and leveraging innovative technologies.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

The Lead Process Engineer optimizes operating processes for the AXIS platform in the BFSI sector, engaging with various teams to ensure scalable and compliant workflows. Responsibilities include end-to-end documentation, automation-first process engineering, and enhancing client implementations while integrating risk and compliance controls.

The Site Reliability Engineer will automate tasks, enhance platform infrastructure, improve observability, and lead incident response efforts for optimal performance.

As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.

Lead the design and delivery of scalable data platform services, guide engineers, and improve engineering practices while collaborating with cross-functional teams.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Staff Mobile Engineer, you will design scalable mobile infrastructure for high-availability applications, optimize performance, and lead technical initiatives to enhance developer productivity.

Lead architecture and multi-year technical strategy for financial data pipelines and reporting. Design and deliver backend services in Go, ensure accuracy, timeliness, and auditability of financial data, and partner with Finance/Accounting/Tax to translate regulatory requirements into scalable systems. Mentor senior engineers and set architectural standards across Financial Engineering.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

Lead architecture and technical strategy for an internal platform that provides operational visibility into high-volume fund movements. Drive AI-first tooling, build fault-tolerant search and remediation systems, align cross-functionally, and elevate engineering quality through mentorship, design reviews, and process improvements.

Design, build, and operate Kubernetes-based compute orchestration and developer tooling. Deliver new compute capabilities, automate operations and observability, integrate AI into workflows, and partner with Security and Reliability to ensure platform scalability, performance, and incident response.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

The role involves owning the architecture and technical direction of Payment Rails infrastructure, designing high-reliability systems for global payment processing, and leading cross-functional collaborations to create efficient, compliant solutions. Responsibilities also include mentoring team members and enhancing operational excellence through AI-driven improvements.