Salesforce
Real-time Data Platform Software Engineer- Senior/Lead
$172K–$286K
California - San Francisco · Office Tech-Flexible · Senior · Full-time · Posted Oct 14, 2026
- Experience
- Over 7+ years of practical distributed-systems experience; at least 5 years with Java, Spring, microservices, REST APIs, and distributed systems is preferred.
- Education
- B.S. in Computer Science required; M.S. preferred.
About the job
Architects, develops, and operates a high-scale, low-latency platform that ingests and streams conversational data to power Sales Cloud AI agents.
What you'll do
- Design, build, and manage durable, highly available distributed systems and real-time data pipelines.
- Operate the Sales Intelligence Platform and support AI-driven sales capabilities using conversational data.
- Champion CI/CD practices and mentor teams in engineering best practices and automation.
What they ask for
- B.S. in Computer Science; M.S. preferred.
- Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers.
- Hands-on experience building high-availability big data pipelines with Flink.
- Proficiency in object-oriented programming and mastery of at least one of Java, Go, Python, C++, or Ruby.
Nice to have
- Experience developing low-latency, large-scale ingestion pipelines or distributed real-time streaming systems.
- Expertise with Kafka or open-source ecosystems including Flink, Spark, Storm, Cassandra, Zookeeper, and MongoDB.
Pay
USD $172,500 - $260,100 annually (base salary); USD $207,800 - $285,800 annually (base salary)
Tools
Flink, AWS, GCP, Azure, Java, Go, Python, Kafka
AI focus
Builds a real-time conversational-data platform that powers Sales Cloud AI agents for lead outreach and pipeline management.
Model-written summary · the original posting is authoritative