Top Platform Engineer Jobs in Denver & Boulder, CO

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.

The Staff Platform Engineer owns the technical strategy and delivery of the operational platform, collaborating with cross-functional teams and ensuring system reliability, security, and scalability.

The Sr. Staff Platform Engineer will lead the design and development of cloud-native internal developer platforms, focusing on AWS and AI/ML integration to empower engineering teams and streamline workflows.

The Senior Appian Platform Engineer designs and develops BPM solutions, conducts business analysis, gathers requirements, and leads technical projects while mentoring users on process modeling.

As a Senior Full-Stack and Platform Software Engineer at mabl, you will develop features for an AI-powered test automation platform, enhancing user experiences, designing APIs, and optimizing data pipelines while collaborating with cross-functional teams.

The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.

As an ML/AI Engineer, you'll build and operate the LLM platform, integrating models, optimizing performance, and collaborating cross-functionally to ensure reliable AI systems.

As an MLOps/ML Platform Engineer, you will build and manage ML systems, optimize workloads, and ensure production model reliability while collaborating across teams.

The Senior DevOps Engineer will design and maintain cloud infrastructure, enhance developer tooling, drive automation, and monitor environments to ensure reliability and scalability while collaborating with engineering teams.

The Senior SaaS Platform Engineer will manage SaaS/cloud platforms, drive automation, and ensure security while collaborating across teams. Responsibilities include design, integration, and mentoring engineers.

The AI Platform Engineer will design and build Bloomerang's internal AI platform, enabling seamless access to AI tools and promoting internal productivity. Responsibilities include developing a unified workspace, integrating security measures, and collaborating with coworkers to enhance AI tool adoption. The role requires hands-on experience with modern AI tooling and strong communication skills.

The Staff Platform Engineer is responsible for leading the technical direction of infrastructure, reliability, and operational excellence, focusing on AWS, observability, and team mentorship.

The AI Platform Engineer will design and deploy generative AI platforms, manage infrastructure, and ensure scalability, while collaborating across teams for continuous improvement.

Design and develop robust, scalable software for a cloud-based AI platform. Collaborate with teams, improve platform functionality, and evaluate new technologies.

The Senior Platform Engineer will develop and maintain infrastructure as code, manage microservices, and support CI/CD workflows, utilizing AWS and DevOps practices.

The Principal Data Platform Engineer leads the architecture and delivery of data platforms using Databricks, focusing on data pipeline design and client relationships.

The Senior Azure Data Platform Engineer manages Azure SQL databases and Data Factory operations, ensuring stability and performance in a complex environment. The role involves troubleshooting, automating processes, and engaging with clients while leading data load ownership initiatives and enhancing operational practices.

The Senior AI Platform Engineer will lead AI enablement projects across Campminder, collaborating with executives and teams to design AI tools that improve efficiency and empower users.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

The Platform Engineer will develop, maintain, and automate the platform environment, ensuring efficient integration and problem-solving, while guiding junior engineers.

The role involves engineering and platform ownership for Qualys, focusing on vulnerability detection and compliance, collaborating with teams, and ensuring operational excellence.

As a Staff Platform Engineer, you'll develop enterprise software, collaborate with teams on innovative solutions, improve code quality, and mentor juniors.

The Senior Data Platform Engineer will lead project delivery for data infrastructure, manage near real-time services, and collaborate across teams while contributing to AI and data governance frameworks.