Software Engineering SMTS

salesforce.com, inc.; San Francisco (CA); Sur place; USD 117 200 - 260 100; Plein temps

Avantages offerts par ce poste

Medical, dental, vision insurance

Paid parental leave

401(k) plan

Company stock purchasing program

Résumé du poste

Salesforce.com, inc. is seeking a Senior Member of Technical Staff to lead the design and implementation of a Cybersecurity Data Platform in San Francisco, California. The ideal candidate will have over 10 years of software development experience, deep expertise in SaaS environments and distributed systems, and a strong command of technologies like Apache Spark and AWS S3. The role requires someone who can architect a multi-tenant SaaS product and mentor junior engineers. Benefits include time off programs, medical plans, and a company stock purchasing program.

Qualifications

• 10+ years in software development with a focus on high-availability systems.
• Extensive experience building scalable data platforms.
• Proven expertise in distributed systems and application integration.

Responsabilités

• Architect and implement the technical roadmap for the Security Data Platform.
• Lead the development of secure and reliable platform capabilities.
• Define and implement monitoring frameworks for data integrity.

Connaissances

Software development

SaaS, PaaS, or IaaS environments

Distributed systems

Apache Spark

AWS S3

DevOps mindset

Agile methodologies

Formation

M.Sc/M.Eng or B.A/B.Sc. in Computer Science/Engineering

Outils

Apache Spark

AWS S3

Description du poste

Role Description

Salesforce is seeking an exceptional Senior Member of Technical Staff to serve as a lead and contributor for our next-generation Cybersecurity Data Platform. In this high-impact individual contributor 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 (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.

Benefits

Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and a company stock purchasing program.

Accommodations

To request a reasonable accommodation during the application or recruiting process, please submit a request via the accommodations request form. Salesforce uses artificial intelligence tools to help recruiters assess candidates, but humans always make hiring decisions. For more information about how we use your personal data and your rights—including opt‑out options—see the candidate privacy statement.

Posting Statement

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Employees and potential employees will be assessed on the basis of merit, competence, and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, performance assessment, and all other employment decisions.

In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. The typical base salary range for this position is $117,200‑$260,100 annually, with higher ranges in selected cities in the San Francisco and New York City metros.