Sr. Lead Software Engineer - Data Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Lead Software Engineer at JPMorganChase within the Corporate and Investment Banking - Securities Services Technology Team , 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.

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Executes software solutions, designs, develops, and troubleshoots software solutions, applying innovative thinking to solve complex technical challenges Write secure, high-quality production code and maintain robust algorithms that integrate seamlessly with enterprise systems using Python, Java, Agentic AI and coding assistants. Produce architecture and design artifacts for complex applications, ensuring all design constraints are met throughout software development Implement enterprise semantic / ontology layer accelerated with agentic metadata mining Design and implement robust data ingestion & curation pipelines to bring diverse datasets into the cloud, Knowledgebase, Databricks Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies Drives decisions that influence the product design, application functionality, and technical operations and processes Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) including Python, Spark, Java and SQL. Strong experience in system design, application development, testing, and ensuring operational stability. Experience in data and semantic modeling Experience with agentic AI frameworks such as ADK, LangChain / LangGraph , AutoGen or CrewAI Demonstrated expertise in software applications and technical processes within disciplines such as data platforms, cloud, Agentic AI frameworks and AI/ML Solid grasp of agile methodologies, including CI/CD, application resiliency, and security best practices 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, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience in data engineering, with a strong understanding of data modeling and ETL processing. Experience with Databricks, CockroachDB , Apache Iceberg, Trino, Springboot , Kafka, RESTful APIs and AWS.