Lead Platform Engineer: Scalable Cloud & AI-Driven Systems

Salesforce, Inc.; San Francisco (CA); Hybride; USD 173 000 - 260 000; Plein temps

Résumé du poste

Salesforce seeks a Lead Software Engineer for Platform Services to shape architecture and scale cloud-native services across a global digital platform. You will mentor engineers, drive technical standards, and partner with product/engineering leadership to align roadmaps with business goals.

Ideal candidates have deep distributed-systems experience, hands-on coding, and a track record with modern cloud stacks and AI-enabled development tools.

Qualifications

• 8+ years software development with large-scale services.
• Bachelor’s or Master’s degree in CS or related field.
• Experience in microservices, REST/GraphQL APIs, cloud platforms.

Responsabilités

• Lead architecture and design of scalable platform services.
• Drive technical strategy and influence multiple teams.
• Collaborate with Product and Engineering leadership on roadmaps.
• Design and deliver high-scale distributed systems and APIs.
• Champion engineering best practices: testing, observability, security.
• Advance Agile, DevOps, CI/CD and cloud-native workflows.
• Adopt AI-assisted tooling to accelerate SDLC and quality.
• Mentor engineers and promote ownership and collaboration.
• Evolve platform capabilities for dynamic customer experiences.

Connaissances

Distributed systems

Architectural leadership

Hands-on engineering

AI-assisted development

Cloud-native engineering

DevOps & CI/CD

AWS ecosystem

APIs: REST/GraphQL

Formation

Bachelor's or Master's in CS or related field

Outils

AWS: API Gateway, Lambda, SNS, SQS, AppSync

NoSQL: DynamoDB

Graph DB: Neo4j/Neptune

Kafka/Kinesis

Terraform

Okta/Auth0, OAuth/OIDC

Description du poste

Salesforce seeks a Lead Software Engineer for Platform Services to shape architecture and scale cloud-native services across a global digital platform. You will mentor engineers, drive technical standards, and partner with product/engineering leadership to align roadmaps with business goals.

Ideal candidates have deep distributed-systems experience, hands-on coding, and a track record with modern cloud stacks and AI-enabled development tools.