Software Engineer III - AI/ML

JPMorganChase•Jersey City, NJ

16h

About The Position

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within Corporate Technology you will be contributing to the firm's document Management Platform group offering platform as a Service for all things documents. From storage, to digitization, Search and User workflows. We cater to multiple LOBs across the firm. The Patented solutions of this group is built of varying tech stacks from Java Spring-boot, Micro-front end approach, Micro services deployed on AWS , In House ML Models for Digitization, Gen AI for Document extraction & et al.

Requirements

Strong proficiency in Java, Spring Boot, and API/microservice design.
Front-end experience with React + TypeScript or Angular.
Proficiency with SQL and at least one NoSQL store; messaging/streaming (Kafka/Kinesis).
CI/CD pipelines, Docker, and experience deploying to AWS.
Solid understanding of security fundamentals, identity/authorization, and compliance-aware design.
Clear communication and collaboration skills in multi-team environments.

Nice To Haves

AWS, performance tuning for low-latency services, and advanced observability.
Experience with feature flags, blue/green or canary deployments, and A/B testing.
Familiarity with model serving patterns, feature stores, or ML governance in enterprise settings.
Bachelor’s/Master’s in Computer Science or related field (or equivalent practical experience).

Responsibilities

Build and maintain Spring Boot microservices, RESTful APIs, and event-driven integrations (e.g., Kafka).
Implement robust API contracts, input validation, error handling, and observability (logs, metrics, traces).
Write high-quality code with comprehensive unit, integration, and end-to-end tests; automate with CI/CD (e.g., Jenkins/GitHub Actions).
Optimize performance, reliability, and cost; tune SQL/NoSQL queries and caching.
Develop responsive web UIs with React (TypeScript) or Angular, integrating securely with backend APIs.
Enforce accessibility, performance budgets, and component reusability; implement e2e tests (e.g., Cypress/Playwright).
Build cloud-ready services on AWS (e.g., ECS/EKS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch) and manage IaC (Terraform/CloudFormation).
Implement secure secrets management, least-privilege IAM, encryption in transit/at rest, and runtime SLOs.
Apply secure coding practices and threat modeling; remediate vulnerabilities promptly.
Conduct design and code reviews; mentor peers and contribute to engineering standards and documentation.
Partner with data scientists to integrate approved AI/ML models into services (batch or real-time) via stable APIs, with versioning, feature/data pipelines, and runtime monitoring using firm-vetted tools.