Platform Python Engineer - API, Kubernetes & Spark

Ascii Group, LLC

Charlotte (NC)

On-site

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

ASCII Group, LLC in Charlotte, NC seeks a Python Developer to design a containerized API layer that abstracts Spark interactions and exposes a stable API contract. The role focuses on building platform capabilities rather than consuming tools.

Candidates will develop production-grade APIs in Python, containerize services with Docker/Kubernetes, implement CI/CD with GitHub Actions, and collaborate with onsite and offshore teams to deliver scalable data pipelines.

Qualifications

  • At least 10 years of experience in IT industry.
  • Design containerized API layer for Spark via a defined API contract.
  • Proven experience building production-grade Python APIs interfacing with data frameworks or orchestrators.
  • Packaging services with Docker/Kubernetes and operating as reusable platform services.
  • CI/CD automation experience using GitHub Actions.
  • Strong software engineering practices around testing, versioning, and deployment.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Ability to interact with the client and coordinate with offshore resources.

Responsibilities

  • Design and build a containerized API layer that abstracts interactions with Apache Spark.
  • Develop production-grade Python APIs interfacing with data frameworks or pipelines.
  • Package services with Docker/Kubernetes and operate as reusable platform services.
  • Implement CI/CD automation using GitHub Actions and maintain testing/versioning/deployment.
  • Collaborate with onsite and offshore teams and coordinate with the client.
  • Focus on scalable, secure access to Spark-based data pipelines.

Skills

Python
APIs
Spark integration
Docker
Kubernetes
GitHub Actions
GCP
CI/CD
Platform engineering
Team coordination

Tools

Docker
Kubernetes
GitHub Actions

Job description

ASCII Group, LLC in Charlotte, NC seeks a Python Developer to design a containerized API layer that abstracts Spark interactions and exposes a stable API contract. The role focuses on building platform capabilities rather than consuming tools.

Candidates will develop production-grade APIs in Python, containerize services with Docker/Kubernetes, implement CI/CD with GitHub Actions, and collaborate with onsite and offshore teams to deliver scalable data pipelines.

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