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 Cyber & Technologies Controls, 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.
You will partner with established product, architect, and security members of the team to train and create a motivated development function with newly hired and more junior team members to deliver strategic parts of our control's ecosystem.
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, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on Software Engineering concepts and 5+ years applied experience5+ years of continuous Python development experience on large/medium sized projects Cloud proficiency experience is required. Experience with Terraform scripting and deployment Deep understanding of Python data structures, standard library, third-party packages, testing frameworks like pytest or unittest, ORM libraries like SQLAlchemy or Django ORM. Experience in AWS Data Analytics platform and related services - S3, AWS Glue, RedShift, Athena, Lake Formation, Lambda etc. Application Design and Design Patterns are important, including micro service and cloud design patterns Experience working in an Agile Development environment and is able to contribute/facilitate Agile ceremonies. Experience with Graph Databases, including OpenCypher and GSQL, or Relational Databases including DML, DDL, and PL/SQL Proficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life Cycle
Preferred qualifications, capabilities, and skills
Proficient in full stack development having experience creating REST based services on Java/Spring/Spring Boot. AWS Experience is preferred