JP Morgan Chase & Co.

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

JP Morgan Chase & Co. • $145K — $175K *
Jersey City, NJ 07305In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience with strong Java development skills using object-oriented principles and Spring Boot framework.
  • Experience designing low-latency processing in production distributed systems.
  • Hands-on with AWS services such as MSK (Kafka), S3, ECS, EKS for resilient service architectures.
  • Practical experience with monitoring tools like Datadog, Dynatrace, and Splunk in production settings.
  • Strong fundamentals in API design, testing discipline, and debugging in production.
  • Proficient in one or more modern programming languages with a focus on Java, emphasizing clean and maintainable code.
  • Experience in developing infrastructure-as-code solutions using Terraform or CloudFormation.

Responsibilities

  • Architect and implement low-latency, high-throughput Java Spring Boot distributed services that meet production-grade performance.
  • Design resilient, cloud-native service architectures with high-availability requirements, leveraging standard AWS services.
  • Maintain infrastructure-as-code solutions to support scalable cloud deployments.
  • Implement observability solutions using tools like Datadog and Splunk for actionable production intelligence.
  • Translate ambiguous requirements into stable service designs, communicating engineering tradeoffs effectively.
  • Lead technical design reviews and establish engineering best practices to improve operability and reliability.
  • Own production outcomes by identifying and resolving performance and scalability issues through automation.

Benefits

  • Opportunity to influence architecture and engineering standards at a high-impact level.
  • Work in a collaborative environment alongside engineering, data science, and platform teams.
  • Access to advanced technologies and practices in AI and machine learning through the Machine Learning Center of Excellence.
  • Mentorship opportunities, fostering a culture of ownership and continuous learning within the engineering team.
Full Job Description
Job Description

If you're a Senior Lead Software Engineer who takes ownership of outcomes in production - not just implementation - and thrives on turning ambiguous requirements into stable, well-modeled service designs, this role was built for you. You will have meaningful latitude to influence architecture, engineering standards, and reliability posture across services, with expectations and recognition aligned to senior-level impact.

As a Senior Lead Software Engineer at JPMorganChase within the Corporate AI/ML Data Platforms - Machine Learning Center of Excellence, you will design, build, and optimize high-performance, low-latency distributed systems that serve as the backbone of our machine learning and data infrastructure. You will collaborate across engineering, data science, and platform teams to deliver resilient, cloud-native solutions that enable the firm to operate at the forefront of AI-driven innovation. Your work will directly shape the reliability, scalability, and performance of systems that process critical data across the enterprise, and your voice will carry weight in the architectural and engineering decisions that define how the platform evolves.

Job 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 (HA) requirements, from 3 to 5 nines, leveraging standard AWS compute, messaging, streaming, DB and storage services like MSK (Kafka), 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.


  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.


Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years' applied experience; very strong Java development skills using object-oriented principles, with strong experience using Spring Boot


  • Demonstrated experience designing and tuning for low-latency processing in production distributed systems


  • Hands-on experience leveraging standard AWS compute, messaging, streaming, DB and storage services like MSK (Kafka), SQS, S3, ECS, EKS, Lambda, KVS/KDS, RDS, Dynamo, Redshift, and S3 in large-scale, resilient service architectures


  • Practical experience implementing alerting, monitoring, and reporting solutions using Datadog, Dynatrace, and/or Splunk in production-grade environments


  • Strong engineering fundamentals including API design, testing discipline, and debugging in production contexts


  • Strong ability in one or more modern programming languages (e.g., Java, Python, Go, Rust) with heavy emphasis on Java, writing clean, maintainable, OO, and testable code


  • Develops and maintains infrastructure-as-code solutions using Terraform and/or CloudFormation to support scalable, repeatable, and auditable cloud deployments


  • Strong experience with containerization and orchestration technologies, including Docker and Kubernetes


  • Demonstrated ability to communicate engineering tradeoffs clearly to both technical and non-technical stakeholders


  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security


  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.


Preferred qualifications, capabilities, and skills

  • Deep familiarity with low-latency, highly transactional architectures and advanced usage of AWS managed services (KVS/KDS) - particularly for real-time processing, distributed event handling, and efficient data storage and retrieval


  • Expertise designing and automating observability and reporting workflows using Datadog, Dynatrace, and Splunk to deliver actionable monitoring and production intelligence across microservices platforms


  • Experience with modern delivery practices including continuous integration and delivery, infrastructure-as-code, and containerized deployments that support reliable service delivery at scale


  • Experience with Terraform and/or CloudFormation for building and maintaining cloud infrastructure in an enterprise environment


About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

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