Senior Data & AI-Driven Software Leader

Fairygodboss; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in New Jersey seeks a Senior Lead Software Engineer - Data Management to design, code, test, and deliver software and data solutions supporting modernization and enterprise data strategy for customers and employees.

You will lead data architecture, analytics, and AI/ML integration; provide technical leadership across teams, participate in design reviews, and collaborate with global leaders to build reliable, scalable data platforms using modern tech.

Qualifications

• 5+ years applied experience in software engineering.
• Strong hands-on experience with Java and Spring/Spring Boot, REST APIs.
• Proficiency in ReactJS, Python, and Go or TypeScript.
• Proficiency in data modeling, pipeline architecture, and enterprise storage.
• Hands-on expertise developing and deploying AI/ML models.
• Experience building and operating microservices and event-driven architectures.
• Hands-on experience with cloud and container technologies: AWS, ECS, Kubernetes, and Docker.
• Experience with CI/CD and infrastructure-as-code (Terraform).
• Advanced capability in defining KPIs, building visualizations, and communicating data insights to senior stakeholders.
• Demonstrated experience using enterprise-authorized AI-assisted software development tools with governance for AI outputs.
• Strong understanding of responsible AI use in engineering workflows.

Responsibilities

• Lead end-to-end delivery of software features and data solutions from requirements through production release, ensuring quality and reliability.
• Architect, build, and deploy high-performance microservices and full-stack applications using Java, ReactJS, Python, and REST APIs to enable seamless data access and integration across systems.
• Build and maintain cloud-native services deployed on AWS (ECS, Kubernetes) using Docker and Terraform.
• Design, build, and deploy AI and ML algorithms to answer critical business domain questions and deliver actionable insights.
• Lead the design and production of KPIs, metrics, and analytical reporting to empower globally distributed teams to make data-backed strategic decisions.
• Partner with functional leads, business stakeholders, and technology consumers to document and execute data target architectures, framework guidelines, and long-term technical roadmaps.
• Improve system reliability and performance through monitoring, troubleshooting, observability, and continuous optimization (SRE practices).
• Automate repetitive processes and modernize existing code paths through CI/CD pipelines to reduce operational toil and risk.
• Leverage AI/ML developer tooling to accelerate development and improve engineering productivity.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve value realized by automation at scale.

Skills

Java

Spring Boot

REST APIs

ReactJS

Python

Go

TypeScript

Data modeling

Pipeline architecture

Enterprise storage

AI/ML models

Microservices

Event-driven

AWS

ECS

Kubernetes

Docker

CI/CD

Terraform

KPIs

Visualizations

AI tooling

Secure AI practices

Tools

AWS

ECS

Kubernetes

Docker

Job description

JPMorgan Chase & Co. in New Jersey seeks a Senior Lead Software Engineer - Data Management to design, code, test, and deliver software and data solutions supporting modernization and enterprise data strategy for customers and employees.

You will lead data architecture, analytics, and AI/ML integration; provide technical leadership across teams, participate in design reviews, and collaborate with global leaders to build reliable, scalable data platforms using modern tech.