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.
- 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.
- 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).
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 in Java 11/17+, including Spring Boot microservices, API design, and testing
- Expertise in Python 3.x for services, automation, and data or machine learning integration
- Distributed systems experience, including microservices, event-driven architecture, and Kafka or equivalent messaging and streaming
- Data architecture fundamentals, including relational and NoSQL patterns, caching, data consistency, and schema evolution
- Production experience with AI/ML inference patterns, model packaging or serving, and monitoring or drift fundamentals
- Working knowledge of MLOps and operational model lifecycle management
- DevOps experience with CI/CD, automated unit, integration, and contract testing, and release or rollback strategies
- Strong security and resiliency experience suitable for regulated environments
- Excellent communication and stakeholder influence skills
- Experience with Kubernetes, container platforms, autoscaling, configuration and secrets, and service-to-service security
- Generative AI experience with LLMs, RAG, vector search, evaluation frameworks, and prompt or model governance
- Modernization experience, including monolith decomposition, strangler patterns, and incremental migration
- Advanced production readiness, observability, SRE-style monitoring, readiness reviews, and operational rigor
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
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.
Gallery
