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 Capital Technology, 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

Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures Ensures successful collaboration across teams and stakeholders Identifies and mitigates issues to execute a book of work while escalating issues as necessary Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation.

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts with 5+ years of applied experience. Hands-on experience in system design, application development, testing, and operational stability. Proven experience leading teams of technologists and managing global stakeholders. Proficiency in cloud-native application development, particularly with Python and PySpark. Advanced skills in one or more programming languages. Experience in data integration and handling large data volumes for reporting models. Proficiency with data platforms like Databricks/Snowflake and both SQL and NoSQL databases, including complex SQL query development. In-depth knowledge of software applications and technical processes, with expertise in areas like cloud, AI, machine learning, or mobile. Expertise in agile projects and automated testing/dev ops environments. Familiarity with big data technologies such as Apache Spark or PySpark. Experience with containerization technologies like Docker and Kubernetes (EKS), and ability to guide teams toward strategic goals. Preferred qualifications, capabilities, and skills Experience in financial / banking domain