We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

 

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

 

Formal training or certification in software engineering concepts with 5+ years of applied experience.Hands-on expertise in system design, application development, testing, and operational stability.Advanced proficiency in one or more programming languages, including Python for data processing and automation.Demonstrated experience with Informatica PowerCenter, IDMC, and ETL/data warehousing best practices.Strong database skills (SQL, PL/SQL) for querying, data manipulation, and schema design.Practical experience with AWS core services (EC2, S3, Lambda, Glue) and Databricks platform for scalable analytics.Proficient in automation, CI/CD pipelines, and agile methodologies such as Application Resiliency and Security.Skilled in job scheduling tools (e.g., AutoSys) and exposure to JIRA, Confluence, Service Now.Hands-on with Databricks and Apache Spark for large-scale data processing and optimizing Spark/SQL queries.In-depth knowledge of the financial services industry and their IT systems, including cloud-native solutions.Strong problem-solving, communication, and documentation skills for effective cross-functional collaboration.

 

Preferred qualifications, capabilities, and skills

 

Knowledge in data engineering