AWS Cloud-Native Python Developer — Serverless Automation

Jobtailor

Washington (District of Columbia)

On-site

USD 110,000 - 160,000

Full time

6 days ago
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Job summary

Jobtailor in Washington, DC is seeking a skilled software engineer to build serverless, event-driven workflows on AWS using Lambda and Step Functions. You will connect COTS products into in-house frameworks, develop APIs for modern architectures, and automate data pipelines to replace manual processes.

The role requires turning defined specifications into tested production code, deploying via CI/CD, and communicating clearly with stakeholders while ensuring accuracy and auditability. U.S.

Qualifications

  • 4+ years of software development experience.
  • Bachelor's degree required.
  • Proficiency in Python and modern languages with version control.
  • Must be a U.S. citizen and able to obtain Public Trust.

Responsibilities

  • Build serverless, event-driven workflows on AWS with Lambda and Step Functions.
  • Connect COTS products into in-house frameworks.
  • Create internal and external API connections for modern architectures.
  • Develop data and document pipelines to automate manual processes.
  • Take user stories from refinement through production.
  • Deploy services via CI/CD pipelines.
  • Use AI-assisted development tools like Amazon Q Developer.
  • Identify and fix defects.
  • Communicate with stakeholders and ensure accuracy.

Skills

Python programming
AWS Cloud Development
CI/CD concepts
API development
Automation and workflow management
Version control

Education

Bachelor's degree

Tools

AWS Lambda
AWS Step Functions
Amazon Q Developer
PowerPoint
Excel

Job description

Jobtailor in Washington, DC is seeking a skilled software engineer to build serverless, event-driven workflows on AWS using Lambda and Step Functions. You will connect COTS products into in-house frameworks, develop APIs for modern architectures, and automate data pipelines to replace manual processes.

The role requires turning defined specifications into tested production code, deploying via CI/CD, and communicating clearly with stakeholders while ensuring accuracy and auditability. U.S.

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