Lead Full Stack Engineer

Job Category

Software Engineering

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Location:

Redwood City, CA (Informatica Cloud Team)

We're looking for a Lead Member of Technical Staff (LMTS) who pairs deep Design System / UI platform expertise with full-stack cloud product engineering, and who works AI-natively — using AI-assisted SDLC tooling (Claude / Claude Code and similar) as a core part of how they design, build, review, and ship. You'll join our Informatica Cloud team building the leading AI powered integration-Platform-as-a-Service (iPaaS) — delivering Data Integration, Data Quality, Master Data Management, and Data Governance as cloud services.

As an LMTS on an agile team, you will own architecture and delivery across the full stack — from accessible, scalable design-system-driven UI down through microservices, APIs, and cloud infrastructure. You will set technical patterns others follow, mentor engineers, and operate at high autonomy in a fluid, fast-paced environment. Beyond traditional engineering, you'll help establish how the team adopts AI across the software development lifecycle — orchestrating AI agents, building trusted automated pipelines, and converting AI leverage into shipped, high-quality products.

• ReactJS, Type Script, JavaScript, HTML5, CSS3
• Design Systems, component libraries & UI platforms
• Redux, RxJS / state management;
  Webpack, Babel, npm, yarn
• Jest, React Testing Library; visual regression & e2e testing

• Java SDK, J2EE / Spring Framework, REST, JSON, GraphQL
• Microservices on AWS / Azure / GCP;
  Kubernetes, Docker
• MySQL, Flyway, schema design & migrations;
  Chef
• Gradle, Maven;
  Git, CI/CD pipelines

• Claude / Claude Code (agentic coding), AI code review, and AI-driven testing/documentation workflows
• MCP-based tooling, prompt/workflow orchestration, and multi-agent automation

• Architect and build across the full stack — from accessible, high-performance UI components and design systems to scalable microservices, APIs, and data-layer designs.
• Take architectural ownership of both UI platform / design system initiatives and backend functional areas; own performance and scalability.
• Lead frontend architecture and design-system adoption across product teams; collaborate with UX to translate designs into high-quality, WCAG-compliant code.
• Drive AI-native engineering practices — orchestrate AI agents to decompose and accelerate work, build trusted autonomous pipelines (code gen, review, test, docs), and set AI-SDLC patterns the broader team adopts.
• Lead feature delivery end-to-end with predictable, high-quality releases; provide detailed estimates and meet schedules.
• Ensure quality — partner with QA on customer-centric testing, review test specs, minimize regressions across unit / integration / visual / e2e layers.
• Mentor engineers on architecture, design, testing, accessibility, and effective use of AI tooling; lead code reviews with constructive feedback.
• Communicate and collaborate — give sprint demos to PMs and stakeholders, drive scoping and technical decisions, and produce clear technical documentation.
• Support customers and field engineers with troubleshooting complex issues.

• BE/MS in Computer Science or related technical discipline; advanced degree preferred.
• 8+ years of software engineering experience spanning enterprise backend and modern frontend.
• Backend: proven experience with data-intensive,…