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# Platform Engineer

- **Company:** INDIA EMPORIUM
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Artificial Intelligence, Amazon Web Services, Computer Vision, Automation of Tests, Cloud Computing, Cyber Security, Continuous Integration, Software Debugging, DevOps, Github, Python (Programming Language), Role-Based Access Control, Next.js, Software Engineering, TypeScript, Datadog, Data Logging, System Availability, Snowflake, Grafana, AI Platforms, Information Technology, Terraform, Databricks
- **Published:** October 23, 2026
- **Apply:** https://www.builtincolorado.com/job/senior-platform-engineer/11822205?handler=ApplyRedirect

## About the Role

* 6+ years of platform, SRE, infrastructure, or DevOps engineering experience, with 2+ at a senior level.
 * Deep AWS experience. Production EKS. Terraform as a daily tool. Multi-account architectures.
 * Real observability chops - you've built or seriously evolved an observability stack and have opinions beyond "more dashboards." Datadog preferred; Grafana stack or OpenTelemetry experience is a plus.
 * Strong CI/CD instincts. GitHub Actions preferred.
 * You think about test infrastructure as a first-class platform concern. Experience with test environment management, harness design, or modern AI-assisted testing tools is a strong signal.
 * Comfort reading Python and TypeScript/Next.js and contributing to the tooling around them.
 * Experience in regulated environments (HIPAA, SOC 2, PCI) and instincts for PHI handling. Strong signal, not required.
 * You write opinions down. You disagree well. You'd rather be told the real situation than a polished one.

## Description

We're hiring a Senior Platform Engineer to own and evolve the foundation our product engineering teams build on. This is a platform-as-a-product role: your "customers" are the engineers shipping our product, and your job is to make them faster, safer, and more confident in production. Every decision should make those teams more effective, reliability, cycle time, MTTR, and defect rate are how we know it's working.

You'll report to the Director of Engineering and work daily with the engineering tech leads. You'll inherit a working stack, managed AWS, Terraform, GitHub Actions, Datadog, multi-account EKS , and a real set of strategic questions: how do we level up our reliability and observability practice, what does test infrastructure look like in an agentic-AI-tooling era, how do we keep platform costs sane, and how do we make production safer across teams with different testing cultures.

This is a senior role with real scope. We need someone who treats the platform as a product, builds opinions about where it should go, and owns the roadmap to get there.
What you'll own

 * Platform reliability and observability. Define and improve SLOs, error budgets, and the observability practice. Make production legible to the engineers running it.
 * Test infrastructure as a platform service. Own the harnesses, environments, CI gates, and tooling teams use to ship safely - including evaluation and integration of emerging agentic test tooling.
 * Developer experience across infrastructure. Reduce friction on all things infra - environments, deployments, debugging, day-to-day tooling. Where our managed vendor handles implementation, you own the shape of the experience.
 * Infrastructure strategy and cost. Own platform spend across the stack. Partner with our managed infrastructure vendor as a force multiplier and drive ongoing platform migrations to completion.
 * Compliance posture on the infrastructure side. Maintain and evolve our SOC 2 and HIPAA controls as they apply to platform - logging, access, encryption, PHI handling patterns. Contributor, not program owner.
 * Platform on-call. First-response on platform and infrastructure issues, escalated from the product teams. Named escalation paths to the Director of Engineering and the part-time DevOps tech lead., 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
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