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JPMorganChase

Director of Software Engineering

Posted An Hour Ago
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Hybrid
Mumbai, Maharashtra
Expert/Leader
Hybrid
Mumbai, Maharashtra
Expert/Leader
Leads software engineering teams and technical strategy across complex projects. Owns delivery of highly available, fault-tolerant, low-latency cloud solutions using Java Spring and AWS. Establishes engineering governance, roadmaps, modernization initiatives, resiliency practices, and responsible agentic AI-enabled development workflows. Partners with product, business, and technology leaders to define requirements, manage dependencies, improve engineering effectiveness, and ensure secure, scalable, maintainable solutions.
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If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.
As a Director of Software Engineering at JPMorganChase within the Consumer and Community Banking Team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth 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

  • Engage with business stakeholders to break down complex and ambiguous problems into technical specifications that an engineering team can implement under your guidance.
  • Deliver and own end-to-end cutting-edge low latency solutions leveraging the latest technologies and the best industry practices
  • Champion engineering practices; Improve the effectiveness of the Engineering teams through coaching, mentoring and resolution of impediments
  • Partner with leadership team for driving Non Functional Requirements, Modernization initiatives and controls
  • Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated 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 enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.
  • Lead and participate in regular technical meetings, ensuring that architectural decisions align with the broader organizational goals and strategy.
  • Partner with product and business groups, to drive participation, plans, timelines, dependencies and solutions to ensure successful delivery leading to desired outcomes
  • Drive the adoption of AWS cloud technologies, enablement tools and processes for our engineering teams, as a part of integration
  • Create and maintain detailed technology roadmaps with corresponding work streams and stakeholders, ensuring all solutions and requirements are clearly understood and communicated
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations

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.
  • Extensive hands-on experience in designing and building full stack cloud native distributed systems with high degree of availability, fault-tolerance & scalability using Java Spring.
  • Experience in resiliency testing, failover procedures, and production/lower-environment support.
  • Curious and comfortable with exploring new domains with the ability to consider both the technology & product angle
  • Ability to deal with direction changing quickly, and ability to learn and establish patterns quickly
  • Understanding and experience with cloud technologies, software engineering/product engineering methods, technology best practices.
  • Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop 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.
  • Understand and convey programming models, technologies, systems and API’s that are relevant for stakeholders
  • Work with product teams regularly to ensure understanding and alignment of requirements and technical solutions

Preferred qualifications, capabilities, and skills

  • Participate and/or lead opportunities with third parties, working to understand why and how we may integrate and leverage their capabilities
  • Knowledge of Lending and/OR Buy now pay later space.
  • Experience with hiring top talent, growing careers and coaching individuals and managers to higher performance

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