Sr Lead Software Engineer - Java & Databricks

Be an integral part of a development team that constantly pushes the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan

Chase within the Employee Experience, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

• Lead the design and implementation of robust, scalable Java applications, leveraging advanced features and frameworks to optimize performance and maintainability.
• Mentor team members in best practices for Java coding, testing, and debugging, ensuring high-quality code and adherence to industry standards.
• Develop intelligent agent-based systems that autonomously perform complex tasks, leveraging machine learning and advanced AI techniques.
• Collaborate with cross-functional teams to design, train, and deploy AI agents that enhance user experience and automate business processes.
  Build and optimize data pipelines on Databricks, utilizing Spark for large-scale data processing, analytics, and machine learning workflows.
• Develop and maintain collaborative notebooks, integrating Databricks with cloud storage and enterprise data sources for real-time insights.
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

• Formal training or certification in software engineering concepts, with 5+ years of applied experience in enterprise environments.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) Java, Python
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical AWS cloud native experience

• Java development
• AI agentic development
• Databricks experience