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Python-based platform engineer

Mphasis

3.6
60 reviews
Mphasis
Job Type   /   Job Level
Full-time   /   Senior Executive
Job Location
Irving, TX
Salary Range
$ 90,000 - 110,000 (Annually)
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About the Role


We are seeking a Python-based platform engineer to design and build a containerized API layer that abstracts and governs interactions with engines such as Apache Spark through a well-defined API contract. This role focuses on building platform capabilities, not simply consuming existing data tools—enabling consistent, secure, and scalable access to Spark and non-Spark based data pipelines.


The ideal candidate has strong experience developing production-grade APIs in Python that interface with data frameworks or pipeline orchestration systems, packaging services using containers (Docker/Kubernetes), and operating them as reusable platform services. A proven background in CI/CD automation using GitHub Actions is required, along with solid software engineering practices around testing, versioning, and deployment.


Responsibilities


  • This role is suited for engineers who have built data or compute platforms, service layers, or internal frameworks—translating complex data pipeline capabilities into stable, contract-driven APIs for broad enterprise use.


  • Experience building control planes


Required Skills


  • Design patterns
  • Modular containerized services
  • Asynchronous processing
  • Job-based work queue execution
  • Immutability and idempotency
  • Metadata management
  • Policy enforcement
  • Semantic modeling
  • Observability and telemetry
  • Side effect capability injection


Testing

  • Functional testing
  • Behavioral testing


Languages

  • Python


Frameworks and Platforms

  • FastAPI
  • ARQ
  • Kubernetes
  • Pytest
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