Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the CDAO, 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.
The candidate will be responsible for ensuring the integrity and performance of integration points and will work closely with development, product and business teams to deliver robust, scalable and high-performing solutions
Job responsibilities
Lead the design, development and execution of end-to-end automated test strategies. Break down complex problems into manageable tasks and convey these to the team for coverage and automation expansion. Analyze test results, identify issues and work on resolutions. Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus 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, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Experience in test automation and test strategy formulation. Strong programming skill in Python or Java. Strong analytical skills to understand complex systems and data flows. Advanced in one or more programming language(s) Proficiency in Jenkins for CI/CD pipeline management. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (., cloud, artificial intelligence, machine learning, mobile, Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skillsWorking knowledge of databases like Trino, Iceberg, Snowflake and Postgres. Familiarity with AWS services and cloud-based testing environments. Experience with performance testing tools like JMeter. Strong leadership skills, including team mentoring and project management.
