Lead Software Engineer- Salesforce

JPMorgan Chase & Co.

Hyderabad

On-site

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

Full time

5 days ago
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Job summary

JPMorgan Chase & Co. seeks a Lead Software Engineer to advance trusted market-leading technology products in a secure, scalable way. You will lead critical development across Salesforce platforms, APIs, and AI-enhanced practices within an agile team.

Role requires deep Salesforce expertise, secure coding, and CI/CD implementation. You will partner with multiple business functions to drive architecture and delivery across Sales and Service Cloud integrations.

Qualifications

  • Formal training or certification on software engineering concepts.
  • 10+ years of proven ability to architect scalable, secure and high-performance Salesforce solutions.
  • Advanced hands-on development skills in Apex, LWC and JavaScript, with experience across Sales and Service Clouds.
  • Expertise in implementing complex integrations between Salesforce and external systems using REST and SOAP APIs.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
  • Experience in implementing and optimizing CI/CD pipelines for Salesforce deployments.
  • Deep understanding of Salesforce security, data modeling and platform best practice.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems.
  • Develops secure and high-quality production code, and reviews and debugs code written by others.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team.
  • 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.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.

Skills

Apex
LWC
JavaScript
Sales Cloud
Service Cloud
REST API
SOAP API
AI-assisted development
CI/CD
Security

Education

Formal training/certification in software engineering
Salesforce certifications

Tools

Salesforce
CI/CD pipelines

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • 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.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 10+ years of proven ability to architect scalable, secure and high-performance Salesforce solutions that support business objectives.
  • Advanced hands-on development skills in Apex, LWC and JavaScript, with experience across Sales and Service Clouds.
  • Expertise in implementing complex integrations between Salesforce and external systems using REST and SOAP APIs.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Experience in implementing and optimizing CI/CD pipelines for Salesforce deployments.
  • Deep understanding of Salesforce security, data modeling and platform best practice
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills
  • Expertise in the financial services sector.
  • Familiarity with Agile methodologies and working in Agile teams.
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