Senior Lead Data Engineer – AI, Microservices, AWS

Socket.dev; New Jersey; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Job summary

JPMorgan Chase's Commercial & Investment Bank seeks a Senior Lead Software Engineer – Data Management to architect and deliver data solutions, lead data architecture, AI/ML integration, and scalable platforms for customers, clients, and employees.

You will collaborate with global teams to design reliable, high-performance systems using Java, ReactJS, Python and REST APIs, deploying cloud-native services on AWS with ECS, Kubernetes, Docker, and Terraform.

Qualifications

• Formal training or certification on software engineering concepts with 5+ years of applied experience.
• Strong hands-on experience with Java and Spring/Spring Boot, including building and consuming REST APIs.
• Proficiency in ReactJS, Python and one or more additional languages such as Go or TypeScript.
• Proficiency in data modeling, pipeline architecture, and enterprise storage.
• Hands‑on expertise developing and deploying AI/ML models to solve domain challenges.
• 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 leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment.

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.
• Drive adoption and governance of AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.

Skills

Java

Spring/Spring Boot

REST APIs

ReactJS

Python

Go

TypeScript

Data modeling

Pipeline architecture

Enterprise storage

AI/ML models

Microservices

Event-driven architectures

Cloud

AWS

ECS

Kubernetes

Docker

Terraform

CI/CD

Observability

Tools

Spring Boot

ReactJS

Python

Go

TypeScript

AWS

ECS

Kubernetes

Docker

Terraform

CI/CD tools

Job description

JPMorgan Chase's Commercial & Investment Bank seeks a Senior Lead Software Engineer – Data Management to architect and deliver data solutions, lead data architecture, AI/ML integration, and scalable platforms for customers, clients, and employees.

You will collaborate with global teams to design reliable, high-performance systems using Java, ReactJS, Python and REST APIs, deploying cloud-native services on AWS with ECS, Kubernetes, Docker, and Terraform.