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.

Job responsibilities

• 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.