Lead Software Engineer - Salesforce

JPMorgan Chase & Co.; New York (NY); Sur place; USD 160 000 - 230 000; Plein temps

Résumé du poste

JPMorgan Chase & Co. in New York is seeking a Lead Software Engineer to drive design, development, and deployment of trusted, scalable technology products in a secure environment.

You will lead architectural evaluations, mentor engineers, and push for AI-assisted engineering practices to speed delivery with strong governance. The role emphasizes cloud and Salesforce platform proficiency, secure coding, and collaboration across teams to ensure resilient, high-quality software aligned with

Qualifications

• Formal training or certification on software engineering concepts and 8+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, AI, ML, mobile)
• Knowledge of customization of objects, fields, record types, profiles, permission sets, page layouts, dynamic forms, validation rules, flows, email alerts, approval processes, list views, reports and dashboards
• Conversant in Sales Cloud, Service Cloud, and FSC along with good understanding of OMNI Channel
• Strong understanding of Salesforce Programming and Administration concepts like LWC, Aura, Apex, Flows, Async Apex, Custom Metadata, Triggers, SOQL
• Knowledge of Salesforce APIs(REST API, BULK API) and its integration capabilities
• Demonstrated experience leading effective use of approved AI-assisted software development tools with validation for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows and safe adoption within delivery practices

Responsabilités

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches to build solutions or break down problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to automate remediation of recurring issues to improve stability
• Leads evaluation sessions with external vendors, startups, and internal teams to drive architecture assessments and applicability
• Leads communities of practice across Software Engineering to drive adoption of new technologies
• Drives team adoption of enterprise-authorized AI-assisted engineering practices with validated standards and reuse of patterns
• Applies knowledge of SDLC tools and AI-assisted development to improve automation

Connaissances

Experience 8+ years

System design

Agile CI/CD

Salesforce programming

AI-assisted tooling

Formation

Software engineering certification

Outils

Bitbucket

JIRA

Salesforce APIs

Description du poste

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 JPMorgan Chase within the Consumer and Community Banking, youare 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 break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 8+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Knowledge of customization of objects, fields, record types, profiles, permission sets, page layouts, dynamic forms, validation rules, flows, email alerts, approval processes, list views, reports and dashboards
• Conversant in Sales Cloud, Service Cloud, and FSC along with good understanding of OMNI Channel.
• Strong understanding of Salesforce Programming and Administration concepts like Lightning Web Components (LWC), Aura Components, Apex, Flows, Async Apex, Custom Metadata, Triggers, SOQL and Assignment rules
• Knowledge of Salesforce APIs(REST API, BULK API) and its integration capabilities
• 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

Preferred qualifications, capabilities, and skills

• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Salesforce Marketing Cloud knowledge is a plus
• Working knowledge of Bitbucket and JIRA