As a Lead Software Engineer at JP Morgan Chase within the Corporate Technology you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Own end-to-end solution architecture across applications, APIs, data, integrations, and environments (development through production).
- 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 through to production.
- Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
- 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 and support capacity unlock initiatives.
- 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.
- Design and deliver production patterns for AI/ML capabilities (batch and real-time inference, feature pipelines, evaluation, monitoring).
- Partner with Data Science teams to move models from experimentation to reliable, scalable, and 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.
- Demonstrated solution architecture capability (target-state architecture, HLD/LLD, trade-offs, and architecture decision documentation) across services, data, and integrations.
- 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 (including MongoDB), 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 with excellent communication and influence skills to 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 and observability practices, including readiness reviews, monitoring, and 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
- Solution architecture experience across services, data, and integrations, including target-state architecture, HLD, LLD, trade-offs, and architecture decision documentation
- Java 11/17+ expertise, including Spring Boot microservices, API design, and testing
- Python 3.x expertise 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, MongoDB, caching, data consistency, and schema evolution
- Production AI/ML experience, including inference patterns, model packaging/serving, and monitoring or drift fundamentals
- Working knowledge of MLOps and operational model lifecycle management
- DevOps experience with CI/CD, automated unit/integration/contract testing, release and rollback strategies, security, and resiliency
- Excellent communication and stakeholder influence skills
- Kubernetes, container platforms, and cloud-native patterns
- Generative AI experience with LLMs, RAG, vector search, evaluation frameworks, and prompt/model governance
- Modernization experience, including monolith decomposition, strangler patterns, and incremental migration
- Advanced production readiness and observability practices
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.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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.
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