Description
About the Teams: By applying to this role, you will be considered for two mission-critical teams at the heart of our data strategy. Both teams operate at extreme scale, leveraging Public Cloud (AWS/GCP) and Kubernetes to power the next generation of data-driven intelligence.
Pillar 1: Data Engineering & Observability
Build and own large-scale data pipelines and observability systems that power metrics, logging, and real-time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high-throughput data or monitoring platforms in cloud or hybrid environments.
Pillar 2: Data Cloud. Big Data Compute platform team.
Owns the compute infrastructure that powers large-scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models.
Required Skills:
Related technical degree required
Strong understanding of distributed systems design, including scalability, fault tolerance, and consistency trade-offs in large-scale data platforms
7+ years of backend software development experience building large-scale distributed systems
Strong programming skills: Java (strongly preferred); Python or Rust are strong pluses
Experience designing and operating large-scale data pipelines, ETL workflows, or streaming data systems Experience with big data and data platform technologies such as Spark, Flink, Kafka, Trino, HBase, or similar
Strong experience with public cloud platforms, especially AWS or GCP Strong experience with Kubernetes and container orchestration
Experience operating data platforms or infrastructure services at enterprise scale
Experience owning and operating multiple instances of mission-critical services
Experience building or operating observability systems, telemetry pipelines, or monitoring platforms
Experience using metrics, logging, and telemetry to drive operational excellence Experience with Agile development and Test Driven Development
Benefits & Perks
Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.
Salesforce Information
Check out our Salesforce Engineering Site.
*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*
For roles in San Francisco and Los Angeles: Pursuant 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.