Director of Software Engineering - AM Sales Technology

JPMorgan Chase & Co.

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in Bengaluru, India, is seeking a Director of Software Engineering to lead a high-caliber team and drive the transformation of a critical Sales Technology platform.

You will own delivery, roadmap execution, and architecture decisions to support growth, privacy, and performance across global stakeholders. You will mentor engineers, evolve agile processes, and apply AI-enabled delivery practices to improve speed, quality, and reliability while maintaining strong governance and

Qualifications

  • Formal training or certification on software engineering concepts and 10+ years applied experience.
  • 5+ years of experience leading technologists to manage complex technical items.
  • Deep expertise in Salesforce Sales Cloud and Service Cloud at enterprise scale.
  • Strong command of integration patterns and high-scale middleware design.
  • Enterprise architecture for multi-region resiliency and API strategy.
  • Strong AWS experience in architecture, security, and cost optimization.
  • Delivery excellence across concurrent workstreams with measurable outcomes.
  • Experience leading global teams and vendor management.
  • Domain exposure to Sales & Advisor focused technology in financial services.
  • Ability to influence senior stakeholders and drive alignment across teams.

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.
  • Sets and owns design and architecture standards; deliver scalable enterprise platforms.
  • Strengthens partnerships with global technology teams and business stakeholders.
  • Drives innovation and modernization, including AI-first delivery practices.
  • Uses AI development tools to improve productivity, testing, code quality, and release confidence.
  • Fosters collaboration across product, engineering, architecture, operations, and business teams.
  • Builds a culture of growth and learning through mentoring, coaching, and hiring.
  • Sets direction and governance for AI-enabled engineering and SDLC automation.
  • Applies tools in the SDLC toolchain to improve automation and capacity unlock initiatives.

Skills

Technical leadership
Stakeholder management
Software architecture
AI/ML adoption
Salesforce Sales Cloud
Salesforce Service Cloud
Integration patterns
AWS architecture
Vendor management
Multi-region deployment

Tools

Salesforce REST API
Streaming API
Bulk API

Job description

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 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. 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 will get the chance to utilize your leadership and engineering skills, to manage the existing platform, transform agile processes and drive efficiencies in SDLC. 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.
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
  • Deep expertise (5+ years) inSalesforce Sales Cloud and Service Cloud, including platform configuration and extensibility for enterprise-scale implementations.
  • Strong command ofintegration patternsand high-scale middleware design, including, SalesforceREST APIs,Streaming APIs(event-driven), andBulk 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).
  • StrongAWSexperience (architecture, security, scalability, reliability, cost optimization).
  • Provendelivery excellencewith measurable outcomes across concurrent workstreams.
  • Experience leadingglobal teams(vendor management where applicable).
  • Strong domain exposure toSales & 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.
Preferred qualifications, capabilities and skills
  • Modern web technology frameworks:Lightning Web Components (preferred)and/orReact(micro-frontend patterns a plus).
  • Experience withAgentic AI frameworks(preference forAgentforce) and patterns for safe enterprise adoption (governance, evaluation, monitoring).
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