Top Platform Engineer Jobs in Denver & Boulder, CO

Build, administer, and optimize enterprise Databricks data platforms in Azure. Responsibilities include platform operations, Terraform-based infrastructure automation, data ingestion enablement, governance through Unity Catalog, access controls, monitoring, troubleshooting, incident response, and reliability improvements. The role partners with data engineers, architects, analysts, infrastructure, and security teams to support scalable production analytics and data workloads.

Leads the architecture and engineering evolution of J&J MedTech’s global Microsoft Dynamics marketing platform. Defines shared services, APIs, SDKs, developer frameworks, reusable AI agents, interoperability standards, observability, security, and platform operations. Partners with product, business, and AI teams to scale governed AI-driven commercialization capabilities across marketing and related commercial functions. Establishes engineering metrics, standards, and organizational capabilities while leading modernization initiatives and engineering teams in a complex, regulated enterprise environment.

Own and evolve a secure, cloud-native internal developer platform for a federal health mission. Responsibilities include Terraform and GitOps foundations, multi-tenant Kubernetes on AWS GovCloud, self-service onboarding, MLOps/AIOps, data lakehouse enablement, observability, security automation, compliance artifacts, documentation, and stakeholder partnership. The role requires senior ownership of production platforms and offers opportunities for technical leadership.

Own and improve Snowflake platform operations across development, test, and production environments. Responsibilities include security and access governance, reliability engineering, monitoring, incident response, recovery procedures, consumption and cost optimization, change management, automated testing, and controlled releases. The role partners with Data Engineering, Security, Identity, AWS, and commercial technology teams while documenting processes and building reusable automation.

Supports development of Microsoft Power Platform solutions, including Power Apps applications, Power Automate workflows, Power BI dashboards, and SharePoint integrations. Collaborates with stakeholders to automate business processes, manage and validate data, test and deploy solutions, document functionality, and provide customer support. Works with Microsoft 365, Dataverse, Excel, SQL databases, and Agile project teams.

Designs and manages cloud infrastructure platforms using infrastructure as code, Kubernetes, CI/CD, and multi-cloud technologies. Responsibilities include improving developer experience and DevSecOps maturity, troubleshooting and optimizing platform reliability, implementing zero-downtime maintenance, automating processes, integrating security controls, documenting technical systems, and mentoring engineers. The role also drives scalability, cost optimization, availability, and continuous delivery across Reltio’s cloud services.

Develops Power Platform and Blazor Hybrid applications throughout the software development lifecycle. Translates business requirements into scalable Dataverse, Power Apps, Power Automate, .NET, C#, and MAUI solutions; builds REST integrations, authentication, security, automation, and data models. Provides technical guidance, documentation, presentations, and ongoing support while applying secure coding and AI-assisted development practices.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.

Build and maintain high-throughput, low-latency distributed data systems across ingestion, storage, and retrieval. Optimize delivery pipelines, scale analytical database clusters (ClickHouse), develop GraphQL and log delivery solutions, monitor performance with observability tooling, troubleshoot production issues, and collaborate cross-functionally and with open-source communities to evolve the data platform.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Develops and implements Microsoft Power Platform solutions across discovery, design, development, testing, deployment, training, and support. Builds Canvas and Model-driven Power Apps, automates processes with Power Automate and UiPath, integrates data, designs Dataverse models, and supports SharePoint and Dynamics solutions. Serves as a Power Platform subject matter expert, collaborates with clients and project teams, creates technical documentation, manages governance standards, and resolves production issues.

Design, build, and manage highly available GCP platform infrastructure, including GKE, networking, storage, compute, containerization, monitoring, security, and Infrastructure as Code. Automate provisioning and CI/CD, optimize platform performance and costs, document procedures, troubleshoot issues, and mentor junior engineers. Collaborate with development, operations, and security teams to maintain scalable, secure, and compliant cloud environments.

Design, implement, automate, and operate enterprise AWS cloud infrastructure for analytics and data engineering workloads. Build Databricks platforms, Infrastructure-as-Code modules, CI/CD pipelines, secure cloud environments, observability frameworks, and multi-account governance strategies. Optimize reliability, scalability, performance, and cost while guiding engineering teams, leading architecture decisions, and advising clients on cloud and DevOps best practices.

Develop accessible, supportable Power Platform applications and automations for a federal customer. Build Canvas and model-driven Power Apps, Power Automate flows, and Dataverse or SharePoint components. Implement validation, role-based access, error handling, auditability, notifications, integrations, and ALM practices. Participate in testing, peer reviews, release promotion, production readiness, documentation, and user support while collaborating with clients and technical teams.

Develop and evolve a high-throughput, low-latency US sports betting platform using distributed systems and microservices. Build resilient, scalable services for peak sporting events, collaborate with technical and non-technical stakeholders, contribute to architectural direction, and mentor junior engineers. The role also involves cloud infrastructure, Kubernetes, reliability, concurrency, debugging, and delivery of quality software in an agile environment.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

Lead end-to-end Microsoft Power Platform implementations including discovery, design, build, test, and deployment. Develop low-code solutions (Model-driven and Canvas apps), automate processes with Power Automate, create data visualizations, integrate data, maintain coding standards, produce design documentation, support production issues, and act as a Power Platform SME advising on architecture, security, and CoE governance while participating in Agile ceremonies.

Build and improve platform services, cloud infrastructure, CI/CD pipelines, monitoring, and developer tooling. The role involves writing and reviewing code, supporting deployments, improving scalability and reliability, participating in incident response, and collaborating with engineering teams. The engineer will use technologies such as AWS, Kubernetes, Docker, Terraform, Python, RabbitMQ, PostgreSQL, and Datadog while developing ownership of increasingly larger platform areas.

Build and improve AWS cloud infrastructure, CI/CD pipelines, Terraform-managed environments, and containerized applications on ECS Fargate. Lead architecture and deployment reviews, automate reliable application delivery, troubleshoot incidents, perform root cause analysis, and implement monitoring, logging, security, and compliance controls. Collaborate with application, IT, business, and vendor teams while modernizing legacy applications and developing platform engineering capabilities.

Build, secure, and operate an Azure Government AI platform supporting Azure AI Foundry and approved generative AI models. Configure AI projects, deployments, networking, identities, monitoring, cost controls, and integrations. Automate repeatable infrastructure and release processes, troubleshoot across cloud layers, and create operational documentation. The role requires strong Azure engineering, AI platform, security, networking, monitoring, and scripting experience, with responsibility for reliable developer experiences and governed AI usage.

Designs and owns shared test automation frameworks and scalable test execution infrastructure across web, mobile, and backend services. Builds tooling for test environments, test data, parallel execution, flaky-test detection, and infrastructure monitoring. Partners with engineering teams to improve test coverage and quality practices, reduces feedback-loop friction, and documents testing best practices. The role requires strong automation architecture, cloud-native infrastructure, cross-stack testing, and collaborative influence.

Design, develop, and maintain secure Microsoft Power Platform solutions for federal and DoD customers. Build Canvas and Model-Driven Power Apps, Power Automate workflows, Dataverse data models, Power BI reports, integrations, and automated deployments. Support ALM, ETL, troubleshooting, documentation, security, and performance. Gather requirements and collaborate with technical and program stakeholders while following federal security and configuration-management practices.

Design, build, and maintain scalable cloud or hybrid infrastructure with automated CI/CD, monitoring, and cloud optimization to ensure 99.9% uptime. Lead migration efforts, implement monitoring and performance strategies, and collaborate with cross-functional teams to maintain platform stability.

Design, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.