Lead Full Stack Engineer

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce 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. Lead Member of Technical Staff (LMTS) — Full Stack & Design Systems, Cloud Platform Location: Redwood City, CA (Informatica Cloud Team) 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. Job Summary 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. Technology You'll Use 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 What You'll Do 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. Key Essentials 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. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement 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, 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: 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.