Director of Software Engineering - AM Sales Technology

Role overview

Director of Software Engineering - AM Sales Technology at Chase India

As a Director of Software Engineering at JPMorgan Chase within the Asset and Wealth Management technology division, you will be given the unique opportunity to guide a skilled team of software engineers.

Responsibilities

• You will get the chance to utilize your leadership and engineering skills, to manage the existing platform, transform agile processes and drive efficiencies in SDLC.
• Lead and transform Sales Experience Platform as an Engineering Lead at JP Morgan's Asset Wealth Management Client Technology

Required qualifications

• Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and 10+ years applied experience.

Preferred qualifications and skills

• Preferred qualifications, capabilities and skills Modern web technology frameworks: Lightning Web Components (preferred) and/or React (micro-frontend patterns a plus).

Employment details

• Location: Bengaluru [Karnataka] [India]

Additional role details

• If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. .
• Your primary responsibility will be to manage existing platform and it’s roadmap execution while laying out a strategy for it’s transformation to support future growth needs, in terms of core capabilities, data storage, distribution, privacy and optimization.
• You are expected to collaborate with global stakeholders in defining strategy for future platform evolution, that will directly influence sales and revenue for the company.
• You'll be part of a diverse team that values creativity and teamwork, with the opportunity to shape the technical architecture to meet future needs.
• Job Responsibilities Owns end-to-end delivery of the Sales Technology agenda (scope, timelines, risks, dependencies, outcomes).
• Builds and lead a high-performing engineering team; drive engineering excellence across SDLC, quality, reliability, security-by-design, and efficiency.
• Defines and executes the roadmap for global sales experience, data, and intelligence—balancing current needs and future growth.
• Sets and owns design and architecture standards; deliver scalable, resilient enterprise platforms using strong architecture and engineering practices.
• Strengthens partnerships with global technology teams and business stakeholders to align strategy and execution.
• Drives innovation and modernization, including AI-first delivery practices and technology adoption.
• Uses AI development tools to improve productivity, testing, code quality, and release confidence.
• Fosters strong collaboration across product, engineering, architecture, operations, and business teams with shared ownership.
• Builds a culture of growth and learning through mentoring, coaching, feedback, and hiring to meet evolving talent need 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.
• In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise Deep expertise (5+ years) in Salesforce Sales Cloud and Service Cloud, including platform configuration and extensibility for enterprise-scale implementations.
• Strong command of integration patterns and high-scale middleware design, including, Salesforce REST APIs, Streaming APIs (event-driven), and Bulk APIs.
• Designing and building complex integrations with high throughput, resiliency, and observability Enterprise architecture: proven ability to design high-scale systems (multi-region resiliency, performance engineering, data/identity patterns, API strategy).
• Strong AWS experience (architecture, security, scalability, reliability, cost optimization).
• Proven delivery excellence with measurable outcomes across concurrent workstreams.
• Experience leading global teams (vendor management where applicable).
• Strong domain exposure to Sales & Advisor focused Technology in financial services .
• Ability to influence senior stakeholders and drive alignment across product, engineering, and architecture.
• Demonstrated passion for technology, a drive to innovate, and an ownership mindset for both delivery and engineering health.
• Demonstrated ability to build high-performing teams through collaboration, inclusivity, talent development, and a continuous learning culture.
• 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.
• Experience with Agentic AI frameworks (preference for Agentforce) and patterns for safe enterprise adoption (governance, evaluation, monitoring).