Software Engineering SMTS

Role Description

Salesforce is seeking an exceptional Senior Member of Technical Staff (SMTS) to serve as a lead and contributor for our next-generation Cybersecurity Data Platform. In this high-impact individual contributor (IC) 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 act as a technical pillar, building core capabilities including data ingestion, processing, storage, APIs, and analytics integration, ensuring the system is both robust and developer-friendly.

You will drive the platform's technical evolution, solving complex distributed systems challenges and working cross-functionally with data producers and consumers to ensure seamless integration. While this is an IC role, your influence will be broad; you will provide technical guidance to peers, set engineering standards, and help envision the transition of this platform into a multi-tenant SaaS product. Your work will empower internal stakeholders and ensure Salesforce scales its business impact securely and efficiently.

• Technical Leadership & Strategy
• Architect and implement the technical roadmap for the Security Data Platform, ensuring it meets long-term scalability and security requirements.
• Drive the technical design for evolving the platform into a multi-tenant SaaS product capable of serving global customers.
• Platform Engineering & Implementation
• Lead the hands‑on development of scalable, secure, and reliable platform capabilities using Apache Spark, AWS S3, and streaming/batch pipelines.
• Design and build self-service onboarding tools for data producers and high‑performance APIs for data consumers.
• Technical Collaboration
• Partner with data producers to architect high‑quality data ingestion patterns, resolving complex structural inconsistencies at the source.
• Act as a technical consultant for internal stakeholders, translating business and security needs into actionable technical specifications.
• Influence technical decisions across teams to ensure architectural alignment and overcome integration bottlenecks.
• Operational Excellence & Performance
• Define and implement robust monitoring, alerting, and automated testing frameworks to guarantee data integrity and platform reliability.
• Perform deep‑div performance tuning and cost‑optimization across all platform components and cloud infrastructure.
• Technical Mentorship & Quality
• Elevate the engineering bar by conducting rigorous code reviews, defining best practices, and mentoring junior/mid‑level engineers.
• Foster a culture of technical excellence, accountability, and continuous improvement within the engineering community.
• Innovation
• Proactively identify and prototype opportunities to incorporate AI/ML for advanced risk assessment and automated remediation.
• Research emerging industry trends in cybersecurity and data engineering to keep the platform at the cutting edge.

• Industry Expertise: 10+ years in software development, with a deep focus on SaaS, PaaS, or IaaS environments and high‑availability 24/7 systems.
• Technical Mastery:
  Extensive hands‑on experience building large‑scale data platforms using Apache Spark, AWS S3, streaming/batch pipelines, and cloud‑native architectures.
• Systems Architecture:
  Proven expertise in distributed systems, application integrations (on‑prem and SaaS), identity systems, and data governance (e.g., data mesh).
• 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 (Dev Ops 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).
• Communication:
  Ability to explain complex technical concepts to both technical and non‑technical stakeholders and influence architectural decisions.
• Educational Background: M.Sc/M.Eng or
  
  B.A/B.Sc. in Computer Science/Engineering or equivalent experience.
• Agile Proficiency:
  Experience working in high‑velocity Scrum or Kanban environments to deliver scalable, high‑quality code.