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Python SDET
Python SDETHAN • jersey city, NJ
Python SDET

Python SDET

HAN • jersey city, NJ
Hace más de 30 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Job Title: Python SDET
Location: Jersey City, NJ (Onsite)
Duration: Contract
Job Description:
Key Responsibilities
  • Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure.
  • Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices.
  • Contribute to the platform's CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage.
  • Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack.
  • Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components.
  • Build reusable components that support scalability, modularity, and self-service quality tooling.
  • Mentor junior engineers and influence technical standards across the Test Engineering Program.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • + years of hands-on software development experience, including large-scale backend systems or platform engineering.
  • Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries.
  • Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools.
  • Solid experience with AWS services (Lambda, S, ECS/EKS, Step Functions, CloudWatch).
  • Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure.
  • Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability.

Preferred Qualifications
  • Exposure to machine learning workflows, model lifecycle management, or data engineering platforms.
  • Experience with distributed systems, event-driven architectures (, Kafka), and big data platforms (, Spark, Databricks).
  • Familiarity with banking or financial domain use cases, including data governance and compliance-focused development.
  • Knowledge of platform security, monitoring, and resilient architecture patterns.

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Python SDET • jersey city, NJ

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