Software Engineer III - Salesforce- Business Banking

JPMorgan Chase; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase in Plano, TX seeks a hands-on Salesforce engineer to design and deliver secure, production-grade solutions. You will own end-to-end technical execution from design through production support, work with AI-assisted tooling, and help modernize platforms through automation and integration.

The role emphasizes performance tuning, large data handling, REST APIs, LWC, Apex, Flows, and FSC/Service Cloud.

Qualifications

• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate AI outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
• 5+ years of Salesforce development experience including Apex, LWC, Triggers, Flows, and integrations with Sales/Service FSC.

Responsibilities

• Design, develop, and troubleshoot Salesforce solutions; break down complex problems with practical approaches.
• Build secure, production-grade code; review and improve code written by others.
• Leverage AI-assisted development tools to improve quality, speed, and automation.
• Identify recurring issues and implement automation to enhance operational stability of applications.
• Contribute to communities of practice to drive adoption of emerging technologies in software engineering.

Skills

AI-assisted development tools

Responsible AI

Salesforce development

Apex

Lightning Web Components

Triggers

Flows

Sales Cloud

Service Cloud

Financial Services Cloud

REST APIs

Large data handling

Clear communication

Tools

Jira

Bitbucket

Source control

Job description

We are seeking a hands-on Salesforce engineer who can design and deliver secure solutions. You will be part of a team that owns end to end technical execution (design through production support), support architectural evaluations with internal and external partners, and help modernize platforms through automation, optimization, and capabilities including AI/LLM and Agentforce .

Key Responsibilities

• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Design, develop, and troubleshoot software solutions; break down complex technical problems using practical, effective approaches.
• Build secure, production-grade code; review, debug, and improve code written by others.
• Identify recurring issues and implement elimination/automation strategies to improve the operational stability of applications and systems.
• Contribute to communities of practice to drive awareness and adoption of emerging technologies across software engineering.
• Contribute to a team culture rooted in diversity, equity, inclusion, and respect.

Required Qualifications (Must Have)

• Hands‑on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• 5+ years of Salesforce development experience , including deep expertise in:
• Agentforce and AI/LLM-related capabilities/use cases
• Apex
• Lightning Web Components (LWC)
• Triggers, Flows
• Sales Cloud, Service Cloud, Financial Services Cloud (FSC)
• REST APIs, web callouts/integrations
• Strong communication skills and executive presence; able to explain technical details clearly, including how systems work end-to-end and why design decisions were made.
• Proven experience handling large data volumes, performance tuning, and platform/application optimizations.

Preferred Qualifications (Nice to Have)

• Financial services industry experience.
• Experience building or integrating cloud-native applications.
• AWS experience.
• Java experience.
• Familiarity with Jira, Bitbucket, and source control/version control systems.

What Success Looks Like

• Releases delivered reliably with measurable improvements in stability and performance.
• Scalable Salesforce solutions aligned to enterprise architecture and integration standards.

Ready to make an impact? If you are a hands-on engineer who enjoys solving complex problems, raising engineering standards, and delivering reliable solutions at scale, we would welcome the opportunity to learn more about you.