Lead Platform Services Engineer – Cloud-Native & AI
Listed on 2026-05-28
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Software Development
Cloud Engineer - Software, Software Engineer, DevOps, Software Architect
Lead Software Engineer – Platform Services
At Salesforce, we’re inspiring the future of business with AI + Data + CRM. Guided by our core values, we help companies across every industry connect with customers in entirely new ways — while empowering our employees to innovate, grow, and make an impact.
Our Digital Marketing Technology organization is transforming how prospects, customers, and Trailblazers engage with Salesforce online. We are building a unified digital platform that powers personalized, intelligent, and scalable experiences across and the broader Trailblazer ecosystem.
We’re looking for a Lead Software Engineer to help shape the architecture and evolution of this platform while driving technical excellence across globally scaled digital experiences.
About the RoleThis role sits within the Platform Services team in Salesforce’s Digital Marketing Technology organization. As a Lead Software Engineer, you will provide hands-on technical leadership across architecture, platform innovation, and large-scale distributed systems. You’ll partner closely with engineering, product, architecture, and platform teams to design and build scalable cloud-native services that power Salesforce’s global digital ecosystem. This is a highly collaborative individual contributor role focused on solving complex technical challenges while mentoring engineers and elevating engineering standards across teams.
WhatYou’ll Do
- Lead the architecture and design of scalable, secure, and resilient platform services
- Drive technical strategy and influence architectural decisions across multiple engineering teams
- Partner with Product and Engineering leadership to shape technical roadmaps aligned with business goals
- Design and deliver high-scale distributed systems and APIs supporting Salesforce’s global digital experiences
- Champion engineering excellence through best practices in system design, testing, observability, scalability, and operational maturity
- Drive innovation in Agile development, Dev Ops, CI/CD, and cloud-native engineering practices
- Evaluate and adopt modern technologies and AI-assisted engineering workflows that improve developer productivity and software quality
- Mentor and coach engineers while fostering a culture of ownership, collaboration, and continuous improvement
- Help evolve platform capabilities that enable dynamic and personalized customer experiences globally
- Strong technical leader with deep experience building and scaling distributed systems
- Hands-on engineer passionate about solving complex platform and architecture challenges
- Experience working within modern digital, marketing technology, or customer identity ecosystems
- Strong collaborator who can influence technical direction across organizations
- Engineer who effectively leverages AI-assisted development tools to improve engineering productivity and accelerate software delivery
- Passion for building scalable, reliable, and secure customer-facing systems
- 8+ years of professional software development experience in designing, building, scaling, and maintaining large-scale, highly performant, and resilient production services.
- Bachelor’s or master’s degree in computer science or related technical subject area or equivalent combination of education and experience.
- Experience in microservices architecture, domain driven design, and RESTful and Graph
QL API's. - Experience building high-scale microservices on AWS (preferred), GCP, or other public cloud substrates.
- Experience with AWS components like API Gateway, Lambdas, SNS, SQS, Elasti Cache, App Sync etc and No
SQL databases like Dynamo
DB, Graph databases (Neo4j, Neptune, etc), and Data streams (Kafka, Kinesis, etc) - Experience developing back-end software using JavaScript or Type Script and runtimes like Node.js (preferred)
- Experience with web security, including JWT lifecycle management, CORS, CSP, and XSS prevention.
- AI fluency and proven experience using AI coding assistants to accelerate the SDLC
- Experience in test-driven development and testing frameworks like Jest, Playwright, etc.
- Experience in Service orchestration using tools like Terraform (preferred).
- Experience in…
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