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Job Category
Software Engineering
Job Details
About SalesforceSalesforce 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.
As a Senior Member of Technical Staff (SMTS) on the Data Cloud One (DC1) team, you will play a pivotal role in advancing Salesforce's Data Cloud and Data 360 vision. You will design and scale a core platform that enables customers to work with a unified view of data across multiple Salesforce orgs.
This role sits at the intersection of data engineering, platform architecture, and cross-cloud integration, driving innovations that power intelligent customer experiences, analytics, and AI-driven insights across Salesforce products. You will build and operate high-scale, multi-org distributed systems that enable secure cross-org data access, governance, and global user management.
Key Responsibilities- Design and deliver scalable multi-organization orchestration solutions that power Data Cloud One.
- Work with large-scale distributed systems, designing and managing robust data and metadata models.
- Partner closely with Product Managers, Architects, and Data Scientists to translate customer needs into production-ready software.
- Own and evolve fully orchestrated APIs that integrate with the Salesforce AI Platform.
- Define reusable architectural patterns, guardrails, and best practices to improve engineering efficiency, data quality, and system reliability.
- Contribute to long-range technical planning and help drive microservices architectures that support machine learning and AI workloads.
- Design, develop, debug, and operate resilient distributed services running across thousands of compute nodes in multiple data centers.
- Participate in the team's on-call rotation, diagnosing and resolving complex production issues to maintain high availability.
- Establish and enforce processes that ensure high engineering quality and operational excellence.
- Exhibit a customer-first mindset, taking accountability for technical decisions and the outcomes delivered by the team.
Requirements:- 8+ years of professional software engineering experience, building and operating production systems at scale.
- Strong programming skills in Java.
- Experience working with distributed systems and microservices-based architectures.
- Hands-on experience with performance measurement, evaluation, and optimization.
- Strong understanding of CI/CD pipelines, service deployment, and operational best practices.
- Experience with monitoring, alerting, logging, and troubleshooting complex production issues.
- Proven ability to work cross-functionally, articulating technical trade-offs and influencing partner teams.
- Strong communication skills, with the ability to clearly explain complex technical concepts and drive impact across engineering teams.
- Passion for continuous improvement, learning new technologies, and raising the engineering bar.
- Ability to adapt to changing priorities, technologies, and problem spaces.
- A related technical degree required.
Unleash Your Potential
When 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.
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Posting Statement
Salesforce 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 $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
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