Job Title: Sr. SDET (AWS & Python Experience)
Location: Jersey City, NJ
Work Model: Onsite (5 Days Onsite Required)
Type: Long-Term Project / Permanent Role
Job Description
We are seeking a Senior Software Development Engineer in Test (SDET) with deep experience in AWS , Python , and modern test automation frameworks to join our Test Engineering Program. This is a software engineering driven quality role , focused on building intelligent validation frameworks, automation infrastructure, and quality tooling for large-scale machine learning and data platforms .
As a Lead Engineer , you will design and develop testing frameworks, automation services, and platform-level validation tools that enhance reliability, resilience, and performance across distributed systems. You'll collaborate closely with platform, MLOps, and infrastructure teams to embed quality engineering as a first-class citizen in every part of the software lifecycle.
Note: This is not a simple tester role . The ideal candidate is a seasoned software engineer with strong development, automation, and cloud platform experience.
Key Responsibilities
Design, develop, and maintain high-performance testing tools and frameworks to validate ML data pipelines and AI infrastructure.
Build platform-level test automation solutions using Python, Terraform, and AWS cloud-native technologies.
Integrate automated testing, resilience checks, and observability hooks into CI/CD pipelines (e.g., GitHub Actions, Jenkins).
Champion validation-as-code and testability principles across the ML platform stack.
Collaborate cross-functionally to ensure platform reliability, scalability, and compliance with quality standards.
Build reusable and scalable testing components to enable self-service quality tooling.
Mentor junior engineers and contribute to setting technical and quality standards within the organization.
Required Qualifications
Bachelor's or Master's in Computer Science, Engineering, or related field.
8+ years of hands-on software development experience (backend, platform, or test engineering).
Strong Python skills , including experience with frameworks like pytest , Playwright , or similar tools.
Solid experience with AWS services (Lambda, ECS/EKS, S3, Step Functions, CloudWatch).
Experience with Infrastructure as Code using Terraform .
Proven background in CI/CD tools and pipelines (GitHub Actions, Jenkins, etc.).
Strong understanding of software engineering best practices -including reliability, scalability, observability, and performance optimization.
Preferred Qualifications
Exposure to machine learning workflows, MLOps, or data engineering pipelines.
Experience with distributed systems , event-driven architectures (Kafka), or big data frameworks (Spark, Databricks).
Familiarity with financial services , including data governance and compliance-focused development.
Understanding of platform security , monitoring , and resilient architecture design patterns.
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