Director of Software Engineering Big Data Cloud We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible As a Director of Software Engineering at JPMorgan Chase within Corporate Technology 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 the delivery of Trade Surveillance solutions aligned with business goals and regulatory requirements Drives the platform modernization initiative leveraging Data Mesh principles on Databricks to build scalable resilient and efficient big data platforms Provides handson technical leadership and guidance to engineering teams ensuring engineering excellence securebydesign and agile DevOps best practices Manages multiple feature teams acting as both a people supervisor and technical leader hire develop mentor and recognise talent across crossfunctional teams Owns decisions on team resources budgets and tactical operations including process execution and continuous optimisation Evaluates selects and integrates emerging technologiesincluding AI ML solutionsto enhance surveillance coverage accuracy efficiency and also leads and drives AI projects fostering AI readiness and adoption with the global team Builds and nurture a collaborative environment that encourages innovation and continuous improvement Identifies and mitigate risks across data models security and operations ensure audit readiness and control compliance Develops strong partnerships with product compliance and LOB Technology also drives transformation and modernisation projects to achieve shared objectives 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 modernisation 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 realised by automation and support capacity unlock initiatives at scale Required qualifications capabilities and skills Solid track record and 10 years of experience in building largescale data warehouses enterprise data platforms and critical big data solutions Proven experience in cloud implementation and practical cloudnative development with AWS Azure or GCP Deep expertise in platform building modernization and transformation projects including Data Mesh and Databricks Familiarity with AI ML technologies and experience leading or driving AI projects Experience developing or leading crossfunctional teams of technologists including hiring developing and recognising talent Robust people management skills ability to supervise mentor and grow engineering leaders and teams Excellent communication collaboration and stakeholder management skills Ability to drive innovation and foster a culture of continuous improvement Experience managing multiple Scrum feature teams and delivering complex projects in an agile environment Experience leading adoption of agentic AIenabled engineering practices using enterpriseauthorised 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 Preferred qualifications capabilities and skills Experience working at code level Experience Level Executive Level

📌 Director of Software Engineering Big Data and Cloud Platforms (Mumbai)
🏢 JP Morgan Services India
📍 Mumbai