Sr Lead Software Engineer Mainframe Cobol

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 Mainframe Cobol at JPMorgan Chase within the Consumer & Community Banking, 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


* Implement creative software solutions, utilizing a forward-thinking approach to problem-solving and technical troubleshooting.


* Lead modernization architecture and design planning by applying advanced knowledge of COBOL, CICS, DB2, IBM MQ, and DB2 Utilities to drive target-state designs, migration patterns, and technical execution plans.


* Develop secure, high-quality production code, while also reviewing and debugging code authored by others.


* Identify opportunities for automation to enhance operational stability and efficiency of software applications and systems.


* Contribute to software engineering communities of practice, fostering exploration of new technologies.


* Develop solutions, reusable patterns, and documentation to address recurring challenges.


* Collaborate with engineering teams to identify and mitigate technical issues, offering strategies for improvement.


* Participate in technology training sessions and knowledge transfer activities.


* Assist teams in understanding the SDLC process, guide the development of non-functional requirements, and conduct thorough reviews of HLDD.


* Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience.

In addition.


* Extensive hands on experience in mainframe technologies and tools, including Cobol, CICS, DB2, MQ messaging, DB2 Utilities, JCL, and file transfer mechanisms.


* Experience with Cloud Technologies in particular Public Cloud and AWS.


* Experience in crafting well-architected designs, application developm...