Top Platform Engineer Jobs in Denver & Boulder, CO

The Mission Support Engineer manages software deployments, provides technical support, develops training, and collaborates with teams to enhance customer success and processes.

The Powerapp/Angular Developer will design and maintain applications using the Microsoft Power Platform, develop web interfaces, and participate in Agile practices while collaborating with stakeholders.

Responsible for building new products, updating existing offerings, leading projects, mentoring, and ensuring quality and alignment in technical implementation. Collaborate with teams to drive projects from ideation to production.

The Principal Data Platform Engineer leads the architecture and development of the enterprise data platform, focusing on analytics, data science, and AI/ML capabilities. They establish standards for data quality and observability, design data ingestion and processing patterns, and mentor team members to enhance technical capabilities.

Build and ship core platform services from data processing to customer-facing APIs. Implement reliable data interfaces and pipelines, write clean scalable code, choose tools/architectures, mentor engineers, and drive technical direction and observability for a high-impact reinsurance platform.

Responsible for maintaining and scaling the cloud infrastructure to support enterprise AI workloads, optimizing costs, and ensuring security and reliability.

The Platform Engineer III will manage and optimize Azure infrastructure and Kubernetes clusters while improving deployment pipelines, ensuring security, and increasing operational efficiency.

As a Platform Engineer, you'll design and operate critical systems for identity management, financial operations, and blockchain infrastructure, ensuring reliability and security. You'll collaborate with cross-functional teams and mentor engineers.

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.

The Platform Engineer SkillBridge intern will support the development and deployment of cybersecurity applications in a Kubernetes environment, contributing to product strategy and innovation while guiding junior engineers.

Build production-grade AI-powered data tooling: extract data from Snowflake, generate and store embeddings, enable semantic search, design enrichment pipelines using LLM APIs, optimize AWS infrastructure, and create reusable services and SDKs for scalable, observable data and AI workflows.

The Power Platform Developer leads Dynamics 365 implementations, optimizing client processes, configuring modules, conducting training, and driving system improvements.

Lead architecture and execution for YugabyteDB's DBaaS (Aeon), design and implement cloud-native distributed systems, mentor engineers, drive technical strategy, and collaborate across teams to deliver scalable, secure, high-quality products.

The Frontend Platform Engineer III will build foundational frontend infrastructure, contribute to the development of shared packages, ensure reliability, and collaborate across teams to improve architecture and performance.

The role involves enhancing developer productivity by improving CI/CD, automated testing, and integrating AI-based tools, focusing on operational excellence and collaboration with teams.

As a Senior Machine Learning Platform Engineer, you'll architect a scalable ML platform, collaborating with teams to ensure compliance, optimize performance, and guide best practices in ML workflows.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

Lead efforts to maintain and uplift technology platforms and infrastructure. Oversee production operations and collaborate globally on system reliability and automation solutions.

The role involves leading projects as a full-stack engineer, focusing on SaaS products, enhancing user experiences, and building accessible software.

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.

The Sr Software Engineer will enhance platform performance, develop cloud-native systems, improve CI/CD processes, and oversee deliverables while collaborating with feature teams.

As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.