Lead Software Engineer â AI/ML Data Platform (Test Engineering)
Lead Software Engineer â AI/ML Data Platform (Test Engineering)
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$ 152000 - 215000
1 Vacancy
Job Description
Job Description
At J.P. Morgan Chase we are building an enterprise-grade AI/ML Data Platform that enables scalable secure and responsible machine learning across the firm. We are seeking a Lead Software Engineer with a strong background in software development and platform engineering to help drive the Test Engineering Programa strategic initiative focused on building robust intelligent validation frameworks and infrastructure that power our ML and data products.
This is a software engineering role embedded in quality and reliability initiatives. Youll architect and develop tools services and automation that elevate platform assurance across large-scale distributed systems. If youre passionate about platform quality CI/CD excellence infrastructure-as-code and bringing engineering rigor to validation this is your opportunity to make a major impact.
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 platforms 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
Bachelors or Masters degree in Computer Science Engineering or a related technical field.
5 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 S3 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 (e.g. Kafka) and big data platforms (e.g. 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.
Why Join Us
Help shape the test engineering strategy for one of the largest AI/ML data platforms in the financial industry.
Collaborate with highly skilled engineers and data scientists in a high-impact growth-oriented environment.
Gain access to world-class infrastructure tooling and learning opportunities.
Build software that powers decisions for millions of customers and drives real business value.
Employment Type
Full-Time
