Lead Software Engineering
Lead Software Engineering
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Job Description
As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platform team you will play a pivotal role in promoting the Test Engineering Program. This strategic initiative focuses on building robust intelligent validation frameworks and infrastructure that power our ML and data products. You will architect and develop tools services and automation that elevate platform assurance across large-scale distributed systems collaborating with engineering MLOps and infrastructure teams to embed quality engineering deeply into platform components.
Job 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 capabilities and skills
Formal training or certification on Computer Science concepts and proficient advanced experience.
8 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 capabilities and skills
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.
Employment Type
Full-Time
