JOB DESCRIPTION If you are a software engineering leader ready to take the reins and drive impact weve got an chance just for you As a Director of Software Engineering at JPMorganChase within Consumer Community Banking you lead a technical area and drive impact within teams technologies and projects across departments Utilize your indepth knowledge of software applications technical processes and product management to drive multiple complex projects and initiatives while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery Job responsibilities Leads technology and process implementations to achieve functional technology objectives Makes decisions that influence teams resources budget tactical operations and the execution and implementation of processes and procedures Carries governance accountability for coding decisions control obligations and measures of success such as cost of ownership maintainability and portfolio operations Sets direction and governance for agentic AIenabled engineering and SDLC TLM automation within a technical area to drive measurable improvements in speed quality and operational outcomes e g AIorchestrated delivery workflows release readiness controls automated test modernization and incident triage acceleration while establishing guardrails for validation security resiliency traceability and reuse across teams Applies knowledge of tools within the Software Development Life Cycle toolchain including enterpriseauthorized AIassisted development and automation capabilities to improve the value realized by automation and support capacity unlock initiatives at scale Own endtoend delivery of largescale credit card platform initiatives managing scope risk and dependencies across multiple workstreams Provide architectural direction for platform engineering designing highly available faulttolerant systems capable of processing transactions at scale with minimal latency Champion the adoption of AIdriven development practices including AIassisted code generation automated testing and predictive defect analysis Partner with risk compliance and information security teams to embed controls into the software development lifecycle Evaluate and integrate Huge data processing data streaming realtime analytics and eventsourcing patterns to enable new payments products and features Collaborate with enterprise architecture and platform engineering teams to ensure alignment with technology standards and cloud strategy Required qualifications capabilities and skills Formal training or certification on software engineering concepts and 10 years applied experience In addition 5 years of experience leading technologists to manage anticipate and solve complex technical items within your domain of expertise Proven experience architecting and delivering largescale highavailability distributed systems processing highvolume lowlatency workloads Handson expertise with modern enterprise technology stacks including Java Kotlin reactive and asynchronous frameworks eventpromoten architectures containerized environments and infrastructureascode tools Experience leading adoption of agentic AIenabled engineering practices using enterpriseauthorized tools within the work environment across teams including defining operating expectations humanintheloop validation quality gates measuring outcomes and ensuring secure handling of sensitive inputs outputs Strong understanding of responsible AI use and control expectations in engineering workflows including data sensitivity resiliency security implications and governance ability to influence leaders on safe scaling patterns and reuse Ability to promote complex multiworkstream delivery programs from technical strategy through production release Experience embedding security compliance and regulatory controls into engineering workflows and CI CD pipelines Experience in the banking or financial services domain with Digital Wallet or payments industry experience Extensive experience with AWS services including architecture deployment and optimization of cloudbased solutions Preferred qualifications capabilities and skills Proficiency with architectural modeling languages such as UML or the C4 model and familiarity with enterprise architecture frameworks Handson experience with eventdriven architecture patterns including technologies such as Kafka event sourcing and CQRS Exposure to AI ML tooling large language model integration or AIassisted software development practices Demonstrated expertise in building 0to1 applications taking products from concept to launch Skilled in processing and managing large volumes of data for settlement and reconciliation workflows JOB DESCR

📌 Director of Software Engineering Java and AWS (Hyderabad)
🏢 JPMorganChase
📍 Hyderabad