Join our technology team and help drive the future of AI-powered automation and IoT at JPMorganChase. You will lead high-impact initiatives that transform business processes across Workplace, Smart Building, and connected device ecosystems. As a Lead Software Engineer, you’ll build modern full-stack solutions, collaborate with talented engineers and product partners, and shape technical direction in a dynamic environment where innovation and ownership are valued.
As a Lead Software Engineer in our Automation & AI Solutions team, you will architect, design, and deliver scalable software products that combine cloud-native microservices, IoT integrations, and generative AI/LLM capabilities. You will own key technical decisions, drive engineering best practices, and ensure solutions are secure, reliable, and production-ready.
Job responsibilities
- Design and develop creative full-stack software solutions using innovative approaches.
- Lead the creation and implementation of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows.
- Build and evolve IoT platform integrations (device telemetry, commands, events, device onboarding/management) for Smart Building and Workplace systems.
- 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 deliver cloud-native microservices and APIs (REST/streaming), ensuring scalability, resilience, and strong security controls.
- Write secure, high-quality production code; review, mentor, and unblock other engineers through code reviews and technical leadership.
- Identify and automate solutions for recurring operational issues to improve system stability and observability (logs/metrics/tracing).
- Communicate project status clearly and manage priorities across multiple initiatives.
- Collaborate within a Scrum team, participate in Agile ceremonies, and support a culture of diversity, equity, and inclusion.
- Lead complex projects supporting system design and operational stability, specifically in Workplace, IoT, and Smart Building systems.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering with 6+ years of professional experience.
- Strong system design, application development, and operational stability skills in production environments.
- Advanced Java proficiency (primary), plus working knowledge of Python (for AI/ML integrations) a plus.
- Hands-on experience with Large Language Models (LLMs) and generative AI use cases (e.g., RAG, agents, prompt/tool orchestration, evaluation/guardrails).
- Familiarity with AI/ML frameworks and ecosystems such as PyTorch, TensorFlow, scikit-learn, Hugging Face.
- Experience with distributed systems and at least one major cloud platform (AWS, GCP, or Azure).
- Expertise in microservices, RESTful APIs, and data technologies (relational and/or NoSQL).
- Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices.
- Strong communication skills and a proactive approach to continuous improvement.
- Deep understanding of IoT architectures, protocols, device management patterns, and security best practices.
- Experience integrating IoT solutions within smart building systems / property management platforms, including cloud integration and edge computing patterns.
- 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
- Track record delivering scalable, reliable, and secure products from concept to launch.
Preferred qualifications, capabilities, and skills
- Cloud certification in AWS, GCP, or Azure.
- Practical experience building cloud-native systems (event-driven architectures, streaming, service mesh, etc.).
- Familiarity with Spark, distributed computing, and platforms such as Databricks.
Skills Required
- Formal training or certification in software engineering with 6+ years of professional experience
- Strong system design, application development, and operational stability skills in production environments
- Advanced Java proficiency (primary)
- Working knowledge of Python (for AI/ML integrations)
- Hands-on experience with Large Language Models and generative AI use cases (RAG, agents, prompt/tool orchestration, evaluation/guardrails)
- Familiarity with AI/ML frameworks and ecosystems such as PyTorch, TensorFlow, scikit-learn, Hugging Face
- Experience with distributed systems and at least one major cloud platform (AWS, GCP, or Azure)
- Expertise in microservices, RESTful APIs, and data technologies (relational and/or NoSQL)
- Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices
- Deep understanding of IoT architectures, protocols, device management patterns, and security best practices
- Experience integrating IoT solutions within smart building systems/property management platforms, including cloud integration and edge computing patterns
- Demonstrated experience leading effective use of approved AI-assisted software development tools and setting validation standards
- Strong understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and coaching engineers on safe adoption
- Track record delivering scalable, reliable, and secure products from concept to launch
- Strong communication skills and proactive approach to continuous improvement
- Cloud certification in AWS, GCP, or Azure
- Practical experience building cloud-native systems (event-driven architectures, streaming, service mesh)
- Familiarity with Spark, distributed computing, and platforms such as Databricks
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 — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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