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, you’ll 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. You’ll 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.
Job responsibilities
- 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.
Required qualifications, capabilities, and skills
- 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.
Preferred qualifications, capabilities, and skills
- 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.