Job Description

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 JPMorgan Chase, within the Capital Technology team, you will play a pivotal role in an agile feature team. Your focus will be on designing, enhancing, constructing, and delivering market-leading technology products that are secure, stable, and scalable. Your work will have a significant business impact as you apply your deep technical expertise and problem-solving skills to address a wide range of challenges across multiple technologies and applications.

Job Responsibilities

Develop and enhance the technology and engineering roadmap for your team, aligning with the firm's architectural roadmap. Provide technical guidance and direction, leading, coaching, and mentoring to support the business and its technical teams. Create secure, high-quality production code, and review and debug code written by others. Develop cost-effective technology solutions in line with best practices and the latest technology. Drive decisions that influence product design, application functionality, and technical operations, adhering to best practices and the architectural roadmap. Serve as a subject matter expert in Python/Java and Databricks across the function. Actively contribute to the engineering community, advocating for firmwide frameworks, tools, and Software Development Life Cycle practices. Influence peers and project decision-makers to adopt leading-edge technologies. Foster a team culture of diversity, equity, inclusion, and respect.

Required Qualifications, Capabilities, and Skills

Formal training or certification in software engineering concepts with 10+ years of applied experience. Hands-on experience in system design, application development, testing, and operational stability. Advanced proficiency in one or more programming languages. Advanced knowledge of software applications and technical processes, with deep expertise in one or more technical disciplines (e.g., cloud, AI, machine learning, LLM). Ability to independently troubleshoot design and functionality issues with minimal oversight.

Preferred Qualifications, Capabilities, and Skills

Extensive hands-on experience and certification in AWS and/or Databricks. Proven experience in building and designing large-scale global software solutions. In-depth knowledge and experience in Python/Java and/or Databricks (AWS/Azure). Experience in Data Engineering, working with big data, data warehouses, and understanding data modelling; Data Mesh Architecture and building applications using Data Mesh Architecture. Familiarity with orchestration tools such as Airflow. Understanding of the Capital regulatory reporting framework. * Experience in engineering within a regulatory-controlled environment.