Senior Lead Software Engineer, Java, AWS & AI Platform Services

JPMorgan Chase

Confirmed live today High trust

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Work type
On-site
Location
Jersey City, NJPalo Alto, CA
Posted
3 days ago
Freshness
Confirmed live today

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Similar $181k
$117k most similar roles pay here $237k

This listing doesn't post a salary. Most similar roles pay $151,000–$211,200.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1138 open roles on FindRole.

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TL;DR · Senior Lead Software Engineer, Java, AWS & AI Platform Services

As a Senior Lead Software Engineer - Java, AWS & AI Platform Services, you will join the Machine Learning Center of Excellence team to design and deliver trusted, scalable technology products. You will develop production-grade Python services and APIs while architecting high-throughput, low-latency distributed systems within Amazon Web Services environments. Your daily responsibilities include building cloud-native applications using EKS, ECS, MSK, SQS, and S3, as well as implementing infrastructure-as-code solutions via Terraform or CloudFormation. You will manage observability through Datadog, Dynatrace, and Splunk while mentoring engineers on best practices. The role focuses on the technical challenges of machine learning platforms, specifically involving deep learning, reinforcement learning, and large language model technologies. You will ensure operational excellence by implementing automated testing, secure-by-design practices, and advanced deployment strategies like canary or blue/green releases.

What you'll do

  • Develop and maintain production-grade Python services and APIs for high-impact machine learning platforms.
  • Architect and implement high-throughput, low-latency distributed systems within AWS environments.
  • Build and manage scalable cloud-native applications using EKS, ECS, MSK, SQS, and S3.
  • Create infrastructure-as-code solutions using Terraform or CloudFormation for repeatable deployments.
  • Establish monitoring, alerting, and observability solutions using tools like Datadog, Dynatrace, and Splunk.
  • Implement secure-by-design engineering practices, automated testing, and advanced deployment strategies.
  • Provide architectural guidance and mentor engineers on software engineering best practices.
  • Drive the adoption of AI-assisted engineering practices to improve code quality and delivery efficiency.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Advanced proficiency in Python programming, object-oriented design, and modular software architecture.
  • Experience building and operating large-scale, high-performance cloud-native services within AWS environments using EKS, ECS, MSK, SQS, and S3.
  • Strong experience implementing infrastructure-as-code solutions using Terraform and/or CloudFormation.
  • Expertise in designing, deploying, and supporting distributed systems, including microservices architecture and scalable system design patterns.
  • Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Dynatrace, and Splunk.
  • Experience implementing automated testing, CI/CD pipelines, deployment automation, and secure software engineering practices.
  • Demonstrated experience utilizing approved AI-assisted software development tools and knowledge of responsible AI usage.

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