Senior Real-Time Data Platform Engineer

Salesforce; San Francisco (CA); Presencial; USD 173 000 - 260 000; Tempo integral

Resumo da oferta

Salesforce is seeking senior Software Engineer to design and operate a high-scale, low-latency platform for Sales Cloud AI. You will architect real-time ingestion and streaming pipelines and guide engineers across teams to deliver reliable, enterprise-grade systems.

Role requires distributed systems expertise, cloud experience, and mentorship, with a focus on performance, scalability, and collaboration in a fast-paced environment.

Qualificações

• BS in CS required; MS preferred
• 7+ years building distributed systems at scale
• Proven track record in high-availability architectures
• Hands-on experience with real-time data pipelines (Flink)
• CI/CD leadership and automation
• Cloud familiarity (AWS, GCP, Azure) and backend infra
• Proficiency in Java/Go/Python/C++
• Experience with infra automation and AI-assisted development
• Strong cross-functional collaboration and mentorship
• Commitment to technical excellence

Responsabilidades

• Architect, develop, and operate a low-latency, high-scale platform.
• Oversee real-time ingestion and streaming pipelines for SIP.
• Mentor engineers and promote best practices across teams
• Collaborate with cross-functional partners to drive delivery and quality

Conhecimentos

Distributed systems

CI/CD

Cloud platforms

Java

Go

Python

C++

Software architecture

Leadership

Mentorship

Formação académica

B.S. in Computer Science

M.S. in Computer Science

Ferramentas

Kafka

Flink

Spark

Storm

Cassandra

Zookeeper

MongoDB

Jenkins

Terraform

Spinnaker

Docker

Kubernetes

Descrição da oferta de emprego

Salesforce is seeking senior Software Engineer to design and operate a high-scale, low-latency platform for Sales Cloud AI. You will architect real-time ingestion and streaming pipelines and guide engineers across teams to deliver reliable, enterprise-grade systems.

Role requires distributed systems expertise, cloud experience, and mentorship, with a focus on performance, scalability, and collaboration in a fast-paced environment.