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Platform Engineer

Haystack

full-remoteseniorpermanentbackenddevops Denver, CO 64 days ago via LinkedIn

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Tags

AWSCI/CDInfrastructure as Code (IaC)MicroservicesREST APIsDistributed SystemsDevOpsPlatform EngineeringJavaPython

About the role

Platform Engineer

Join a collaborative engineering team building highly scalable, cloud-native platform services for modern application development.

Responsibilities

  • Design, develop, and maintain cloud-native applications and platform services
  • Build backend services, REST APIs, and microservices that power platform capabilities
  • Develop and maintain CI/CD pipelines for automated builds, testing, and deployments
  • Implement Infrastructure as Code (IaC) using modern cloud automation practices
  • Collaborate with Data Engineering, Data Science, and AI Engineering teams to deliver scalable platform solutions
  • Monitor platform performance, reliability, and operational health

Requirements

  • 5+ years in Platform Engineering, DevOps, Software Engineering, or Full Stack Development
  • Hands-on experience building applications/services in AWS
  • Experience with backend services, REST APIs, and/or microservices
  • Experience building and maintaining CI/CD pipelines
  • Proficiency in one or more programming languages: Java, Python, Go, C# (or similar)
  • Strong understanding of cloud architecture, distributed systems, and modern software engineering principles

Nice to Have

  • Experience working in environments that blend software development + DevOps + platform engineering

What’s On Offer

  • Opportunity to work on next-generation cloud platforms for enterprise telecommunications use cases
  • Remote work model with flexibility
  • Comprehensive benefits (medical/dental/vision, HSA/FSA, 401(k), life/disability/add insurance)

About Haystack

Haystack is partnering with a company that provides next-generation cloud platforms and enterprise applications for the telecommunications industry. The organization builds cloud-native, scalable solutions that combine software engineering, cloud infrastructure, DevOps practices, and AI-driven analytics.

Scraped 7/22/2026