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# Platform Engineer

- **Company:** Quindar Inc.
- **Location:** Denver, CO, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,000.0 - $186,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Data Analysis, Computer Vision, Audit Trail, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Information Engineering, Data Infrastructure, Relational Databases, DevOps, Github, Virtual Private Networks (VPN), Python (Programming Language), NoSQL, Cloud Services, Okta, Large Language Models, Caching, Backend, Rate Limiting, Containerization, Kubernetes, Information Technology, Front End Software Development, Terraform, Software Version Control, Serverless Computing
- **Published:** October 26, 2026
- **Apply:** https://www.builtincolorado.com/job/platform-engineer/11854607?handler=ApplyRedirect

## About the Role

* Expertise managing Kubernetes-based architecture and providing platform infrastructure in a production environment
 * Strong proficiency developing Infrastructure as Code (IAC) solutions using Terraform or alternative tools
 * Proficiency in Python and experience working with software teams developing distributed microservice software capabilities
 * Working knowledge of monitoring tools such as New Relic, DataDog, Splunk, AWS CloudWatch or similar
 * Familiarity with cloud services in AWS (preferred) / Azure / GCP and ability to make trades on cloud native vs self-hosted software capabilities
 * Working knowledge of monitoring tools such as New Relic, DataDog, Splunk, AWS CloudWatch or similar
 * Understanding of networking using VPN's, NLB/ALB's, HTTPS, TLS, and CDN
 * Strong knowledge of Kubernetes, containerized applications, and serverless architecture
 * Strong knowledge of designing, analyzing, and troubleshooting APIs services, distributed NoSQL and relational databases, caching systems, event-driven and multi-tier architectures
 * Strong knowledge of task automation and CI/CD pipeline building, preferably with GitHub actions but not required
 * Understanding of Unix/Linux operating systems
 * Knowledge of cloud security best practices and cost-effective cloud architecture
 * Use of identity and access management via Auth0 or Okta
 * Familiarity with Git and GitHub or similar framework for version control

Soft Skills:

 * Deep technical analysis and troubleshooting skills
 * Independent self-starter; able to complete projects on time with minimal guidance
 * A high standard for software maintainability, quality, resilience, and performance
 * Strong communications skills and ability to engage effectively across development teams, program management, and customers

Background Qualifications:

 * Bachelor's degree in Computer Science (or related field)
 * 3+ years of professional experience as a reliability, systems, DevOps, infrastructure, or platform engineer
 * Ability to obtain a security clearance (Secret/Top Secret)

## Description

In-Office or Remote
United States
100K-145K Annually
Senior level
100K-145K Annually
Senior level
Events * Food * Travel * Hospitality * Hotels & Resorts
Leads platform enhancements and enterprise technology programs by translating workflows, APIs, diagrams, and business needs into technical requirements and deliverable solutions. Manages refinement backlogs, prioritizes requirements, monitors roadmaps, identifies risks, and coordinates product owners, designers, engineers, testers, and architecture teams in an agile environment. Also mentors business analysts and delivers release notes and product reviews.
Top Skills: AgileFigmaJIRAJSONRest ApisSwaggerYaml, CrowdStrike, Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.
Top Skills: Ai TechnologiesApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform
Clear Street