Senior Cloud-Native Platform Engineer (Java, AWS, AI)

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

Job summary

JPMorgan Chase & Co. seeks a Senior Lead Software Engineer to design and optimize high-performance distributed systems powering enterprise AI and data platforms. You will own production outcomes, influence architecture, and lead end-to-end delivery with cloud-native, scalable solutions.

You will mentor engineers, drive best practices, and collaborate with ML teams to deliver robust, production-ready engineering solutions in a fast-paced environment.

Qualifications

• 5+ years of software engineering experience with strong Java and Spring Boot.
• Experience designing low-latency production distributed systems.
• Hands-on AWS services experience (MSK, SQS, S3, ECS, EKS, Lambda, Kinesis Video/Data Streams, RDS, DynamoDB, Redshift).
• Experience with observability tools Datadog, Dynatrace, Splunk.
• Strong API design, testing, and production debugging.
• Proficiency with Docker and Kubernetes.
• Ability to communicate engineering tradeoffs to technical and non-technical stakeholders.
• Experience leading AI-assisted software development tooling adoption.
• Understanding responsible AI in engineering workflows.

Responsibilities

• Architect and implement low-latency, high-throughput Java Spring Boot–based distributed services with strong APIs.
• Design and build cloud-native service architectures with high-availability requirements (99.9%–99.999%).
• Develop infrastructure-as-code with Terraform and/or CloudFormation for scalable deployments.
• Implement observability solutions with Datadog, Dynatrace, and Splunk for production insight.
• Translate evolving requirements into stable service designs and articulate tradeoffs.
• Lead design reviews and promote engineering standards for reliability and maintainability.
• Own production outcomes end-to-end; resolve performance and scalability challenges.
• Collaborate with ML engineers and data scientists to meet platform needs.
• Mentor engineers and promote ownership and continuous learning.
• Drive AI-assisted engineering practices with measurable validation and reuse patterns.

Skills

Java

Spring Boot

Low-latency design

Distributed systems

API design

Testing

Debugging in production

Docker

Kubernetes

AWS

Datadog

Dynatrace

Splunk

AI-assisted tooling

Security considerations

Education

Formal software engineering training

Tools

Terraform

CloudFormation

MSK (Kafka)

SQS

S3

ECS

EKS

Lambda

Kinesis Video/Data Streams

RDS

DynamoDB

Redshift

Job description

JPMorgan Chase & Co. seeks a Senior Lead Software Engineer to design and optimize high-performance distributed systems powering enterprise AI and data platforms. You will own production outcomes, influence architecture, and lead end-to-end delivery with cloud-native, scalable solutions.

You will mentor engineers, drive best practices, and collaborate with ML teams to deliver robust, production-ready engineering solutions in a fast-paced environment.