Senior Lead Java Engineer: AI & CloudNative Systems

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase in Jersey City seeks a Senior Lead Software Engineer to own end-to-end production outcomes, influencing architecture and reliability across services. You will design, build, and optimize high-performance, cloud-native distributed systems powering ML data platforms, working with engineering, data science, and platform teams to deliver scalable solutions.

The role emphasizes strong Java expertise, Spring Boot, AWS services, and advanced observability.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years’ applied experience.

Responsibilities

• Architects and implements low-latency, high-throughput Java Spring Boot based distributed services, using object-oriented principles, that meet the performance demands of production-grade services with strong well-defined APIs
• Designs and builds resilient, cloud-native service architectures with strong high-availability requirements, from 3 to 5 nines, leveraging standard AWS compute, messaging, streaming, DB and storage services like MSK, SQS, S3, ECS, EKS, Lambda, KVS/KDS, RDS, Dynamo, Redshift, and S3.
• Develops and maintains infrastructure-as-code solutions using Terraform and/or CloudFormation to support scalable, repeatable, and auditable cloud deployments
• Implements and continuously improves observability solutions—including alerting, monitoring, and reporting—using Datadog, Dynatrace, and Splunk to deliver actionable production intelligence across microservices platforms
• Translates ambiguous or evolving requirements into stable, well-modeled service designs, clearly articulating engineering tradeoffs to both technical and non-technical stakeholders
• Leads technical design reviews, establishes engineering best practices, and drive adoption of standards that improve platform operability, reliability, and maintainability
• Owns production outcomes end-to-end — identifying and resolving performance bottlenecks, reliability gaps, and scalability constraints through automation and runbook-driven operations
• Partners with machine learning engineers and data scientists to understand platform requirements and deliver robust, production-ready engineering solutions
• Mentors and provides technical guidance to engineers across the team, fostering a culture of ownership, continuous learning, and engineering excellence
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

Skills

Java

Spring Boot

AWS

Kubernetes

Docker

Terraform

CloudFormation

Datadog

Dynatrace

Splunk

APIs

AI-assisted tools

Tools

MSK (Kafka)

SQS

S3

ECS

EKS

Lambda

Terraform

CloudFormation

Docker

Kubernetes

Job description

JPMorganChase in Jersey City seeks a Senior Lead Software Engineer to own end-to-end production outcomes, influencing architecture and reliability across services. You will design, build, and optimize high-performance, cloud-native distributed systems powering ML data platforms, working with engineering, data science, and platform teams to deliver scalable solutions.

The role emphasizes strong Java expertise, Spring Boot, AWS services, and advanced observability.