Staff Platform Engineer responsible for defining and scaling data and ML platform at Mistplay. Leading teams in employing data strategies from raw ingestion to real - time model serving.
About the role
- Staff Platform Engineer joining URBN to develop AI-powered digital experiences and integrate algorithmic solutions. Collaborating with cross-functional teams to deliver impactful products.
Responsibilities
- Join the development of AI-powered digital experiences.
- Integrate algorithmic solutions with creative tools.
- Use Platform engineering skills to implement experiences and cutting-edge algorithms into products across digital ecosystem.
- Collaborate with UX designers, data scientists, product managers, and domain experts to deliver significant business impact.
Requirements
- Proven track record in Platform, DevOps, or Site Reliability Engineering.
- Deep knowledge of Google Cloud Platform (GCP) services (Cloud Run, BigQuery, AlloyDB, Pub/Sub, Cloud Storage, IAM).
- Extensive experience with Terraform and/or OpenTofu. Familiarity with TACoS (Terraform Automation and Collaboration Software) is a major plus.
- Strong experience with CI/CD pipelines (GitHub Actions) and automation tools.
- Proficiency in Python and comfortable navigating complex microservices and data pipelines in our monorepo.
- A security-first mindset, valuing zero-trust networks and secure-by-default infrastructure.
- You are respectful, kind, and caring. You communicate effectively across remote and in-person environments and thrive in a culture that embraces rapid technological change.
- Design, deploy, and maintain our OpenTofu/Terraform modules.
- Champion security across the platform. Implement zero-trust designs, least-privilege IAM, GCP Secret Manager integrations, and robust authentication layers (e.g., Identity-Aware Proxy, Workload Identity Federation, etc.).
- Build and manage continuous integration and delivery pipelines using GitHub Actions and TACoS (e.g., Digger). You value automated testing, linting, and reproducible builds.
- Enhance our GCP-native observability stack (Cloud Monitoring, SLOs, Alert Policies) to ensure our FastAPI services and Cloud Run instances maintain excellent uptime, performance, and clear correlation tracking with request traces and spans.
- Embrace and help shape our Agentic AI workflows. While you may not be an AI expert yet, you understand that leveraging AI assistants is a non-negotiable imperative for modern engineering teams.
- Bring your comfort with Python to help maintain our core tooling, orchestration (Airflow/LangGraph), and shared infrastructure libraries (managed via `uv` & Pydantic), recognizing that human oversight is critical even as AI writes more production code.
- Act as a mentor to less experienced team members, actively seeking to "level up" those around you. Communicate technical decisions clearly and respectfully, whether in deep architectural design sessions or via remote Slack discussions.
Benefits
- medical
- dental
- vision
- PTO
- generous employee discounts
- retirement savings
- much more!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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