Python AWS Developer

PFI Financial Inc.
Des Moines, IA, United States
27 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Compensation
$100,000.0 - $110,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Amazon S3 Automation of Tests Code Review Continuous Integration Relational Databases Software Debugging Django Web Framework Amazon DynamoDB Github Identity and Access Management
+17 more
Python (Programming Language) Machine Learning Systems Development Life Cycle SQL Databases Flask (Web Framework) AI Coding Agents Backend Git Fastapi Build Management Pytest AWS Fargate Claude Functional Programming Cloudwatch Docker Web Api

Job description

Design and build backend services that connect to multiple data sources and APIs Investigate and resolve production issues by analyzing logs and tracing bugs to root cause before making changes Write automated tests and fix data-accuracy issues, especially when matching records across systems Manage code through Git/CI/CD workflows and coordinate with other teams on shared systems and release timing, What You’ll Do: Join Principal Asset Management’s Private Markets Research & Analytics team as a Quantitative Developer to scale machine learning and AI solutions that support in…

  • 10 days ago, Job Description: What You’ll Do Join Principal Asset Management’s Private Markets Research & Analytics team as a Quantitative Developer to scale machine learning and AI solutio…
  • 10 days ago

Requirements

Must Have Technical/Functional Skills Strong hands-on experience with Python for backend development Experience building and consuming Web APIs (FastAPI, Django, or Flask) Hands-on experience with AWS services (ECS/Fargate, Lambda, S3, DynamoDB, CloudWatch, IAM, STS, SSM Parameter Store) Experience with CI/CD pipelines (e.g., GitHub Actions) and Docker Experience writing automated tests (pytest) Comfortable using AI coding assistants (Claude) to speed up development, review, and debugging Good to have Strong experience with SQL and relational databases Experience debugging production issues end-to-end using cloud log tools (e.g., CloudWatch) Experience integrating multiple systems/APIs and reconciling data across them Experience with Git-based team workflows (branching, code review, deployments) Awareness of agile/iterative SDLC processes Experience coordinating with other teams on shared systems, access, or release timing

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