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.
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