SDET with Python

Compunnel, Inc.

Jersey City (NJ)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

A tech company is seeking a highly skilled SDET in Jersey City to support an AI/ML data platform. The role involves building intelligent validation frameworks and developing tools for validating ML pipelines. The ideal candidate has over 8 years of experience, strong proficiency in Python and AWS, and familiarity with Terraform and CI/CD practices.

Qualifications

  • 8+ years of hands-on software development experience, including backend systems.
  • Expert-level proficiency in Python with experience in testing frameworks.
  • Strong AWS services experience (Lambda, S3, ECS/EKS, etc.).

Responsibilities

  • Design and develop tools and services to validate ML data pipelines.
  • Build test automation frameworks using Python and Terraform.
  • Integrate automated testing and resilience checks into CI/CD pipelines.

Skills

Python
AWS
Terraform
Testing frameworks (e.g., Pytest, Playwright)
CI/CD tools (e.g., GitHub Actions, Jenkins)

Education

Bachelor’s or Master’s degree in Computer Science, Engineering or related

Job description

Overview

We are seeking a highly skilled SDET with strong expertise in Python, AWS, and modern testing tools to support the development of a robust AI/ML data platform. This role focuses on building intelligent validation frameworks and infrastructure to ensure the reliability and performance of large-scale distributed systems.

Key Responsibilities
  • Design and develop high-performance tools and services to validate ML data pipelines and AI infrastructure.
  • Build platform-level test automation frameworks using Python, Terraform, and cloud-native practices.
  • Integrate automated testing, resilience checks, and observability into CI/CD pipelines.
  • Lead initiatives to embed testability and validation as code across the ML platform stack.
  • Collaborate with engineering, MLOps, and infrastructure teams to ensure quality across platform components.
  • Develop reusable components to support scalable and modular quality tooling.
  • Mentor junior engineers and contribute to technical standards within the Test Engineering Program.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 8+ years of hands-on software development experience, including backend systems or platform engineering.
  • Expert-level proficiency in Python and experience with testing frameworks such as Pytest and Playwright.
  • Strong experience with AWS services including Lambda, S3, ECS/EKS, Step Functions, and CloudWatch.
  • Proficiency in Infrastructure as Code using Terraform.
  • Experience with CI/CD tools such as GitHub Actions, Jenkins, or similar.
  • Solid understanding of software engineering best practices including code quality, performance optimization, and observability.
Preferred Qualifications
  • Experience in test engineering for AI/ML platforms or data infrastructure.
  • Familiarity with MLOps practices and tools.
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