Lead Distributed Systems Engineer in Activity Platform, Sales Intelligence Platform

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. Sales Cloud AI is revolutionizing how organizations strategize, execute, and refine their lead outreach and pipeline management. We are looking for engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud. In this role, you will be responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines. The Sales Intelligence Platform (SIP) processes conversational data from voice, video, and email to power various Sales Cloud AI agents. These agents provide tools for lead outreach and pipeline management, significantly boosting sales productivity. By generating intelligent insights from conversational data, the platform empowers sellers to enhance their overall efficiency. Required skills and experience Degree in Computer Science (B.S. required, M.S. preferred) with a solid grasp of object-oriented design and principles. Over 7 years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers. Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments. Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure. Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C, or Ruby. Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies. Strong interpersonal and professional communication skills, with a focus on cross-functional collaboration and leadership. Commitment to technical excellence through meticulous attention to detail and proactive mentorship of junior engineers. Preferred qualification Proven ability to develop low-latency, large-scale data ingestion pipelines Background in creating enterprise-grade, AI-driven sales solutions History of architecting distributed real-time streaming systems Expertise with message queuing technologies like Kafka Hands-on experience with open-source ecosystems including Flink, Spark, Storm, Cassandra, Zookeeper, and MongoDB At least 3 years of experience with Java, Spring, microservices, REST APIs, and distributed systems Knowledge of deployment architectures and CI/CD tools such as Jenkins, Terraform, and Spinnaker Familiarity with container orchestration platforms like Docker, Kubernetes, Helios, Fleet, or Mesos Experience managing and monitoring mission-critical infrastructure, including logging, alerting, and reporting services Proficiency in using NoSQL and SQL databases such as PostgreSQL and MongoDB Deep understanding of high-volume distributed databases, data pipelines, and large-scale systems 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 ... (truncated, view full listing at source)