Software Engineer III AI & IoT

Join our engineering team and help shape the future of technology at JPMorganChase. You will deliver scalable secure software that powers our business and accelerates innovation across AI-driven automation and IoT-enabled workplace experiences. As a Software Engineer III youll grow your technical breadth collaborate with talented colleagues and make a meaningful impact every day in a culture where your ideas are valued and your development is supported.

As a Software Engineer III in our Technology team you will build and enhance full-stack cloud-native applications with a focus on Java and modern web development. Youll contribute to designing and delivering services that integrate connected device data (IoT) and LLM/generative AI capabilities to improve user experiences and operational efficiency. You will participate in engineering best practices produce design artifacts troubleshoot production issues and continuously improve system reliability and performance.

• Execute software solutions through design development and technical troubleshooting.
• Build secure high-quality production code and maintain core services and algorithms.
• Produce architecture and design artifacts for complex applications.
• Develop full-stack features (backend services UI) that deliver business value end-to-end.
• Integrate and operationalize LLM/generative AI capabilities (e.g. summarization copilots RAG-style retrieval workflow orchestration) into products.
• Build and evolve IoT integrations (telemetry ingestion event processing device status/health and system integrations for Smart Building/Workplace).
• Gather analyze and synthesize insights from large diverse datasets and build visualizations/reporting where needed.
• Proactively identify hidden problems and patterns (in data logs and system behavior) to drive improvements.
• Contribute to engineering communities of practice and events exploring new technologies.
• Promote a team culture of diversity opportunity inclusion and respect.

• Formal training or certification in software engineering concepts with 3 years of applied experience.
• Strong system design application development and operational stability skills.
• Advanced Java proficiency (primary); working knowledge of Python is a plus for AI/ML integrations.
• Hands-on experience with Large Language Models (LLMs) and generative AI productization.
• Familiarity with AI/ML frameworks such as PyTorch TensorFlow scikit-learn Hugging Face.
• Experience with distributed systems and cloud platforms (AWS GCP or Azure).
• Expertise in microservices RESTful APIs and database technologies (relational and/or NoSQL).
• Familiarity with Docker Kubernetes Helm and CI/CD tooling.
• Effective communication across teams and stakeholders with a proactive approach to continuous improvement.
• Deep understanding of IoT architectures protocols device management patterns and security best practices.
• Experience with smart building systems / property management platforms and integrating IoT solutions in commercial or residential environments.
• Track record of delivering scalable reliable and secure IoT-enabled products including cloud integration and edge computing patterns.

• Familiarity with modern front-end technologies (e.g. React Angular TypeScript modern UI frameworks).
• Exposure to cloud-native development patterns (event-driven architectures streaming observability).
• Familiarity with Spark distributed computing and platforms such as Databricks.