Cloud-Native Python Backend Engineer

Steampunk

McLean (VA)

On-site

USD 85,000 - 170,000

Full time

14 days+

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Job summary

Steampunk seeks a Backend Software Engineer to modernize legacy enterprise systems by decomposing monolithic Java and .NET services into cloud-native Python microservices. You will design and deploy lightweight REST APIs and batch processing jobs across serverless and containerized environments.

The role emphasizes Python development, with 5+ years of production Python experience, Agile and DevSecOps practices, and deploying to AWS Lambda and Kubernetes.

Qualifications

  • Bachelor's degree and 5+ years total experience.
  • 3+ years of experience writing production Python code.
  • Experience decomposing or refactoring legacy Java and/or .NET services into Python microservices.
  • Experience writing and deploying REST APIs and batch jobs in Python.
  • Experience deploying Python applications to AWS Lambda and Kubernetes.
  • Familiarity with DevSecOps concepts and CI/CD pipeline tools such as Harness and GitLab CI/CD.

Responsibilities

  • Decompose legacy Java and .NET monolithic services into modular Python microservices.
  • Design, develop, and deploy concise Python REST APIs and batch service jobs.
  • Deploy and operate services in AWS Lambda and Kubernetes environments.
  • Apply DevSecOps concepts and CI/CD pipeline practices to accelerate secure delivery.
  • Understand stakeholder needs and translate them to developers and QA.

Skills

Python
Cloud-native development
REST APIs
CI/CD
Agile

Education

Bachelor's degree

Tools

AWS Lambda
Kubernetes
Docker
GitLab CI/CD
Harness
pytest

Job description

Steampunk seeks a Backend Software Engineer to modernize legacy enterprise systems by decomposing monolithic Java and .NET services into cloud-native Python microservices. You will design and deploy lightweight REST APIs and batch processing jobs across serverless and containerized environments.

The role emphasizes Python development, with 5+ years of production Python experience, Agile and DevSecOps practices, and deploying to AWS Lambda and Kubernetes.

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