Lead Software Engineer - Java/Python

Posted Yesterday
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2 Locations
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Leads end-to-end architecture and delivery of enterprise software using Java, Spring Boot, and Python. Defines APIs, integrations, distributed systems, data architectures, and nonfunctional requirements. Provides technical leadership, resolves production issues, establishes engineering standards, and productionizes AI/ML capabilities with monitoring and responsible AI controls. Partners with data science teams and drives secure, resilient, observable solutions through the full software development lifecycle.
Summary Generated by Built In

Join us to advance your software engineering career while building impactful technology solutions. Grow your skills and make a difference with a collaborative team.

 

As a Senior Lead Software Engineer at JPMorgan Chase within the CORPORATE TECHNOLOGY team, you will design, develop, and deliver innovative software solutions. You will collaborate with an agile team to enhance technology products in a secure and scalable way. You will gain hands-on experience across the software development lifecycle. You will contribute to a supportive team culture focused on growth and technical excellence.

 

 

Job responsibilities 

  • Own end-to-end solution architecture across applications, APIs, data, integrations, and environments (dev → prod).
  • Convert business requirements into target-state architecture, HLD, and LLD with clear trade-offs and documented decisions.
  • Define integration patterns and cross-service contracts (REST/gRPC, event-driven), including versioning, compatibility, and SLAs.
  • Provide hands-on technical leadership by contributing Java/Spring Boot and Python code for reference implementations, critical paths, and POCs to production.
  • Lead design spikes and performance investigations to validate approaches and resolve complex technical risks.
  • Drive complex production issue triage and root cause analysis, ensuring sustainable fixes and operational learning.
  • Establish and maintain engineering standards through reusable patterns, templates, and shared components.
  • Design and deliver production patterns for AI/ML capabilities (batch + real-time inference, feature pipelines, evaluation, monitoring).
  • Partner with Data Science teams to move models from experimentation to reliable, scalable, observable services.
  • Implement responsible AI controls (traceability, testing/evaluation, approvals, and appropriate human oversight where required).
  • Define and deliver NFRs and operational excellence (availability, latency, throughput, scalability, resiliency, RTO/RPO, capacity planning, observability/SLOs/runbooks) with secure-by-design and SDLC/audit compliance.

Required qualifications, capabilities and skills 

  • Formal training or certification on software engineering concepts and 9+ years applied experience
  • Strong hands-on experience designing and delivering enterprise solutions end-to-end.
  • Java 11/17+ expertise, including Spring Boot microservices, API design, and testing practices.
  • Python 3.x expertise for services, automation, and data/ML integration.
  • Proven distributed systems experience: microservices, event-driven architecture, and messaging/streaming (Kafka or equivalent).
  • Strong data architecture fundamentals: relational/NoSQL patterns, caching (e.g., Redis), data consistency, and schema evolution.
  • Practical experience productionizing AI/ML: inference patterns, model packaging/serving, and monitoring/drift fundamentals.
  • Working knowledge of MLOps concepts and operational model lifecycle management.
  • DevOps delivery mindset: CI/CD, automated testing (unit/integration/contract), and release/rollback strategies.
  • Strong security and resiliency mindset suitable for regulated environments. Excellent communication and influence skills—able to explain trade-offs and align stakeholders.

Preferred qualifications, capabilities and skills 

  • Kubernetes/container platforms and cloud-native patterns (autoscaling, config/secrets, service-to-service security).
  • GenAI experience (LLMs, RAG, vector search, evaluation frameworks, prompt/model governance) where applicable.
  • Modernization experience (monolith decomposition, strangler patterns, incremental migration).
  • Advanced production readiness/observability practices (SRE-style monitoring, readiness reviews, operational rigor).A
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the TeamOur 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.

Skills Required

  • Formal training or certification in software engineering concepts
  • 9+ years of applied software engineering experience
  • Experience designing and delivering enterprise solutions end-to-end
  • Expertise with Java 11/17+, Spring Boot microservices, API design, and testing
  • Expertise with Python 3.x for services, automation, and data/ML integration
  • Distributed systems experience with microservices, event-driven architecture, and Kafka or equivalent messaging/streaming
  • Data architecture experience with relational and NoSQL patterns, caching, data consistency, and schema evolution
  • Experience productionizing AI/ML, including inference, model serving, packaging, and monitoring
  • Working knowledge of MLOps and operational model lifecycle management
  • DevOps experience with CI/CD, automated testing, and release or rollback strategies
  • Strong security and resiliency experience in regulated environments
  • Excellent communication and stakeholder influence skills
  • Kubernetes or container platform experience and cloud-native patterns
  • Generative AI experience with LLMs, RAG, vector search, evaluation frameworks, and governance
  • Modernization experience, including monolith decomposition and incremental migration
  • Advanced production readiness, observability, and SRE-style monitoring experience

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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