Job Title : Python Tester
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.