JP Morgan Chase & Co.

Lead Software Engineer - Python/Java AI

JP Morgan Chase & Co. • $130K — $155K *
Wilmington, DE 19803In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Formal training or certification in software engineering; 5+ years of relevant experience.
  • 10+ years of hands-on software development with JPython/Java/J2EE and modern Java/Spring Boot microservices.
  • 3+ years of experience working within Linux environments.
  • Expertise in AI-assisted software development tools, with experience in validating AI outputs.
  • Strong understanding of responsible AI use within engineering workflows, including security and compliance considerations.
  • Experienced in REST APIs; adept in service-oriented/microservices architecture.
  • Proficient in Kubernetes orchestration for production services.

Responsibilities

  • Drive team adoption of enterprise AI-assisted engineering practices to enhance code quality and delivery speed.
  • Utilize SDLC toolchain knowledge to maximize automation value.
  • Architect and implement scalable, resilient services aligning with target architecture.
  • Integrate services with enterprise systems, ensuring performance and security compliance.
  • Lead and mentor development teams in a fast-paced environment to strengthen stakeholder relationships.
  • Collaborate with users, architects, and system admins to resolve issues and enhance solutions.
  • Develop and mature capabilities for ML pipelines related to fraud detection and risk assessment.

Benefits

  • Opportunities for professional growth and development within a cutting-edge technology environment.
  • Access to the latest AI-assisted software development tools to enhance productivity.
  • Collaborative team culture emphasizing knowledge sharing and mentorship.
  • Involvement in impactful projects addressing critical business challenges.
  • Flexible work arrangements to support work-life balance.
Full Job Description
JOB DESCRIPTION
Job responsibilities:
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Architect and implement resilient, highly scalable, fault-tolerant, low-latency services and drive target-state architecture.
  • Design and deploy services that integrate with enterprise systems; ensure functional, performance, scalability, security, governance, and auditability requirements are met.
  • Lead and mentor the development team in a high-pressured delivery environment; manage multiple deliverables across business groups and strengthen stakeholder relationships.
  • Collaborate with LOB users, SMEs, architects, DBAs, and system administrators to design solutions, manage enhancements, and resolve issues.
  • Build and mature capabilities that execute ML pipelines for fraud detection and risk assessment; support modeling teams in implementation and tooling.
  • Production Alize models built by data scientists, including validation readiness and quality controls prior to live usage.
  • Design and own reusable ML platform components (e.g., feature-store patterns, delivery pipelines) and establish monitoring/alerting for performance, scalability, availability, and reliability.
  • Build agentic AI services to automate and enhance engineering and model-ops workflows (tool-using agents, orchestration, state management, and audit-ready traceability).
  • Define and implement guardrails and evaluation approaches for agentic AI in production (quality, safety, latency, and cost).
Required qualifications, capabilities, and skills:
 
  • Formal training or certification on software engineering concepts and 5+ years applied experience 
  • 10+ years of recent hands-on software development experience in large-scale distributed systems, primarily JPython/Java/J2EE and modern Java/Spring Boot microservices.
  • 3+ years of experience developing in Linux environments.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
  • Strong experience with REST APIs and service-oriented / microservices architecture.
  • Strong Kubernetes orchestration experience (building, deploying, and operating production services).
  • Messaging expertise with Kafka, MQ, or similar platforms.
  • Experience with backend infrastructure patterns (e.g., load balancing, autoscaling).
  • Experience with log analytics / observability tools (e.g., ELK, Splunk).
  • AI/ML platform exposure (MLOps, feature engineering, model hosting/operationalization; AWS and/or hybrid on-prem + cloud).
 
Preferred qualifications, capabilities, and skills:
 
  • Strong communication skills and proven ability to influence across senior technology and business stakeholders.
  • Strong SDLC knowledge and agile ways of working, including CI/CD, application resiliency, security, testing, and operational stability.
  • Agentic AI experience preferred: building and operating LLM-driven agents with tool integration, monitoring/telemetry, and governance/audit considerations.
  • Experience with NoSQL databases such as Cassandra (preferred).
  • Experience with BERT, Transformer Model implementation

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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