AWS Python Developer

Ampstek; Tempe (AZ); On-site; USD 140,000 - 180,000; Full time

Job summary

Ampstek is seeking a seasoned software engineer with strong full-stack capabilities to join and contribute across Python, Java, and AWS-based projects. The role emphasizes RESTful APIs, microservices, and serverless/event-driven solutions in a modern cloud environment.

The ideal candidate will have hands-on experience with Docker, Kubernetes, CI/CD pipelines, and database systems like Redshift and PostgreSQL, plus a track record of secure, observable, and high-performance production software.

Qualifications

• 6–8 years of total software development experience.
• 7+ years of full-stack development experience.

Skills

Python

Java

RESTful APIs

Microservices

Serverless architectures

Event-driven design

AWS

PySpark

SQL

Data engineering

Data analysis

Testing practices

Security & performance

Collaboration & communication

Independent work

Tools

FastAPI/Flask

PostgreSQL

Redshift

Oracle

RDS

DynamoDB

Git/GitLab/Jenkins/GitHub Actions

CI/CD tools

Docker

Kubernetes

ECS/EKS

Terraform

CloudFormation

OpenTelemetry

CloudWatch

Datadog

OAuth/JWT

Job description

F2F Interview

Minimum years of experience: 6-8 years

7+ years of full-stack software development experience.

Strong hands-on development experience with:

• Python, including FastAPI or Flask
• Java and Spring Boot
• Experience developing RESTful APIs, microservices, serverless applications, and event-driven solutions.
• Strong experience with AWS cloud development and deployment.
• Experience with Python, PySpark, SQL, and data engineering or data analysis.
• Experience with Amazon Redshift, PostgreSQL/Aurora, Oracle, RDS, or DynamoDB.
• Experience with Git, GitLab, Jenkins, GitHub Actions, or AWS-native CI/CD tools.
• Experience with Docker, Kubernetes, ECS/EKS, Terraform, or CloudFormation.
• Knowledge of automated testing frameworks and practices.
• Understanding of application security, observability, performance optimization, and enterprise production support.
• Strong problem-solving, communication, collaboration, and code-review skills.
• Ability to work independently and within cross-functional teams.

Nice to have:-

• Experience with GitHub Copilot or other generative AI development tools.
• Knowledge of Amazon Bedrock, Claude Sonnet, prompt engineering, guardrails, or GenAI evaluation.
• Experience with Amazon Neptune, Gremlin, SPARQL, or Graph APIs.
• Knowledge of R programming.
• Experience with Karate, JUnit, Testcontainers, pytest, or similar testing frameworks.
• Familiarity with OpenTelemetry, CloudWatch, Datadog, or comparable observability tools.
• Knowledge of OAuth 2.0, OIDC, JWT, and enterprise data-governance practices.
• Financial services, mortgage, secondary-market, or Fannie Mae project experience.