Software Engineering SMTS

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.

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.

Responsibilities

• 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-dive 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.

Required Skills/Experience

• 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 (DevOps mindset).
• Data-Centric Design: Experience delivering self-service data solutions and managing high-volume pipelines (