Software Engineer

Salesforce Cybersecurity Data Platform Member of Technical StaffSalesforce 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? Agentforce is the future of AI, and you are the future of Salesforce.Salesforce is seeking an exceptional Member of Technical Staff (MTS) & 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.ResponsibilitiesTechnical Leadership & StrategyArchitect 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 & ImplementationLead 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 CollaborationPartner 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 & PerformanceDefine 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 & QualityElevate 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.InnovationProactively 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/ExperienceIndustry 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.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee 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 current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.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. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $117,200 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.