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 responsibilitiesDesign 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.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 skillsFormal 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.Track record delivering scalable, reliable, and secure products from concept to launch.Preferred qualifications, capabilities, and skillsCloud 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.
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