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Principal Data Infrastructure Engineer

My IR
Full-time
On-site
Denver, Colorado, United States
$50,000 - $60,000 USD yearly
Introduction

IRLabs is the innovation lab inside Integrated Research where small, cross‑functional squads chase outsized, industry‑defining opportunities. We operate like a funded startuprapid sprints, bold experimentation, zero bureaucracybacked by the global footprint and resources of a public company. Our charter is simple: turn cutting‑edge AI research into products that customers can’t imagine working without. We target the hardest problems in software and then move fast to ship solutions that create 10x impact. If you thrive on autonomy, crave world‑class technical challenges, and want to see your ideas hit production quickly, IRLabs is your launch pad. Join us and help build the future—one breakthrough at a time.



Description

What You’ll Do

  • Serve as the founding data infrastructure engineer, designing and scaling core systems that let MLEs and developers build and operate their own pipelines.
  • Build stream-first architectures (Kafka, Flink, Spark Streaming) for low-latency, real-time data at scale.
  • Automate provisioning, orchestration, and CI/CD with Terraform, GitHub Actions, and ArgoCD on AWS.
  • Enable self-service via SDKs, APIs, and portals (e.g., Backstage) for seamless onboarding and workflow management.
  • Partner across ML, backend, and DevSecOps to unify data lake, streaming, and MLOps pipelines.
  • Ensure observability and reliability with Prometheus, Grafana, Jaeger, and centralized logging.
  • Embed security and compliance with IAM, secrets management, and guardrails for data access.
  • Continuously evaluate and integrate emerging technologies (Flyte, Ray, Triton, Databricks) to evolve the platform.
  • Establish best practices for stream processing, scaling workflows, and data infrastructure automation.


Skills And Experiences

What You Bring to the Table

  • 8+ years building and operating scalable, real-time data systems with deep expertise in streaming (Kafka, Flink, Spark).
  • Strong background in data lakes/warehouses (Delta Lake, Databricks, S3) and distributed system design.
  • Proficiency with MLOps tooling (Flyte, MLflow, Triton, Ray) and end-to-end automation (Terraform, ArgoCD, GitHub Actions).
  • Hands-on AWS expertise across S3, Glue, Lambda, Redshift, Athena, and related services.
  • Experience with containerization and orchestration (Docker/Podman, Kubernetes/EKS).
  • Proven ability to enforce data security, IAM/RBAC, and centralized secrets management.
  • Skilled in observability and data quality—SLAs, lineage, and proactive monitoring.
  • Proficient in Python for workflows; Rust/C++ for performance-critical components; TypeScript for developer integrations.
  • Track record mentoring engineers and setting standards for data infrastructure and security.
  • Strong communicator able to clearly document and advocate for architectural decisions.

Our job descriptions often reflect our ideal candidate. If you have a strong foundation of relevant skills and a passion for this field, we encourage you to apply, even if you don't check every box.

What We Offer

  • High Impact – Ship real features in weeks, not quarters
  • Cutting-Edge Tech – Work to solve problems no one has cracked before.
  • Remote & Flexible – Work from anywhere with a culture built on trust, autonomy, and balance.
  • Growth & Ownership – Own features end-to-end, learn rapidly, and grow with the company as we scale.
  • Top-Tier Compensation – Competitive salary, performance bonuses, equity upside, and strong benefits.
  • Team & Culture – Small, senior team that values collaboration, creativity, and building something meaningful together.
  • Medical, Dental, Vision Insurance.
  • 401k with Employer Contributions.
  • Paid Time Off & Birthday Leave.
  • Health Savings Account (HSA) Contributions with High-Deductible Health Plan.
  • Short-Term/Long-Term Disability Insurance.
  • And more!

Compensation Range

  • $180,000 - $200,000 base
  • $50,000 - $60,000 variable compensation

Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at the offer stage.

At IR we celebrate, support, and thrive on difference for the benefit of our employees, our products, and our community. We are proud to be an Equal Employment Opportunity employer and encourage applications from all suitable candidates; we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.