Sr Lead Software Engineer Mainframe Cobol

Be an integral part of an agile team thats 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 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 development testing resiliency and operational stability to utilize the capabilities of cloud computing for applications
• Advanced knowledge in one or more software applications and architecture
• Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines.
• Proven experience in managing large-scale mainframe implementations and systems.
• Experience of building secure solution designs including cloud experience
• Ability to tackle design and functionality problems independently with little to no oversight
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding code review test acceleration troubleshooting) with the ability to set team expectations for validating AI outputs for correctness performance and security
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.

Preferred Qualifications Skills and Capabilities:

• Expertise in modernization in cloud platform from large complex heritage ecosystem of mainframe and monoliths.
• Experience with distributed technologies and AI tools is desirable
• Experience with Micro-Services and Event-Driven architectures