Lead Full Stack Engineer

Salesforce Inc.
Redwood City, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 260K

Job location

Redwood City, United States of America

Tech stack

Adobe Analytics
Java
JavaScript
Web Accessibility
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Computing Platforms
HTML5
Azure
CSS
Cloud Computing
Code Generation
Code Review
Continuous Integration
Data Governance
Data Integration
Programming Tools
Java Platform Enterprise Edition (J2EE)
Gradle
Java Development Kit
Spring
JSON
Maven
Modular Design
MySQL
Open Source Technology
Performance Tuning
Systems Development Life Cycle
Release Management
E2e Testing
Cloud Services
Software Engineering
TypeScript
Web Content Accessibility Guidelines
Web Usability
Workflow Management Systems
RxJS
Multithreading
Google Cloud Platform
Apache Yarn
React
Large Language Models
Multi-Agent Systems
Informatica Cloud
Backend
GIT
WebPack
Material Design
Kubernetes
Information Technology
GraphQL
Data Management
Front End Software Development
React
React Testing Library
REST
Docker
Microservices

Job description

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., 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.

Requirements

Frontend / Design Systems

ReactJS, TypeScript, 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

Backend / Cloud

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

AI-Assisted SDLC

Claude / Claude Code (agentic coding), AI code review, and AI-driven testing/documentation workflows

MCP-based tooling, prompt/workflow orchestration, and multi-agent automation, 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, multi-threaded, service-oriented cloud products at scale (Java, Spring, REST); demonstrable DB-layer knowlege (schema design, migrations); cloud app development, deployment, and operations (AWS/Azure/GCP, Kubernetes, Docker).

Frontend / Design Systems: deep expertise in design systems (architecture, governance, adoption, scaling); building and maintaining component libraries and UI platforms with React/TypeScript; expert CSS architecture (BEM, CSS-in-JS, CSS Modules).

Strong grasp of web accessibility (WCAG 2.1 AA/AAA), browser rendering, performance optimization, and web vitals.

AI-Assisted SDLC experience - hands-on use of Claude / Claude Code or comparable agentic coding tools to accelerate design, implementation, code review, testing, and documentation; ability to orchestrate AI agents and build reusable, trusted automation rather than one-off prompting.

Experience with Agile methodologies and release management; ability to work independently with high autonomy and take initiative.

Excellent communication, collaboration, and mentorship skills in a fast-paced, iterative environment.

Nice to Have

Contributions to open-source UI libraries or design systems.

iPaaS / data integration, data quality, MDM, or data governance domain experience.

Building AI/agentic developer tooling, MCP servers, or LLM-integrated internal platforms.

CI/CD automation for both frontend and backend applications.

Benefits & conditions

benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

About the company

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., Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion

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