Software Engineering (Senior Member of Technical Staff)

About the role

Join Salesforce as a Senior Member of Technical Staff (SMTS) and lead the development of our next-generation Cybersecurity Data Platform. In this high-impact role, you will be responsible for the technical design and hands-on implementation of a scalable, high-quality platform that powers critical security data flows. You will drive the platform's technical evolution, solve complex distributed systems challenges, and work cross-functionally with data producers and consumers. Your work will empower internal stakeholders and ensure Salesforce scales its business impact securely and efficiently. Key missions: Architect and implement the technical roadmap for the Security Data Platform, ensuring it meets long-term scalability and security requirements.. Lead the hands-on development of scalable, secure, and reliable platform capabilities using Apache Spark, AWS S3, and streaming/batch pipelines.. Define and implement robust monitoring, alerting, and automated testing frameworks to guarantee data integrity and platform reliability. Profile: - Communication: Ability to explain complex technical concepts to both technical and non-technical stakeholders and influence architectural decisions - Individual Impact: A track record of owning the end-to-end lifecycle of complex features—from initial design and coding to testing, deployment, and maintenance (DevOps mindset) - Data-Centric Design: Experience delivering self-service data solutions and managing high-volume pipelines (integrating with 50+ data systems) - Design Patterns: Expert knowledge of systems patterns (e.g., N-tier, MVC) and API frameworks (e.g., OpenAPI) - Industry Expertise: 10+ years in software development, with a deep focus on SaaS, PaaS, or IaaS environments and high-availability 24/7 systems - Systems Architecture: Proven expertise in distributed systems, application integrations (on-prem and SaaS), identity systems, and data governance (e.g., data mesh) - Agile Proficiency: Experience working in high-velocity Scrum or Kanban environments to deliver scalable, high-quality code - Technical Mastery: Extensive hands-on experience building large-scale data platforms using Apache Spark, AWS S3, streaming/batch pipelines, and cloud-native architectures - Educational Background: M.Sc/M.Eng or B.A/B.Sc. in Computer Science/Engineering or equivalent experience