Salesforce · Remoto · San Francisco, United States
Join our team as a Flink Senior/Lead Software Engineer, where you will be responsible for the architecture, development, and operation of the Sales Intelligence Platform (SIP) within Sales Cloud. This high-scale, low-latency platform processes conversational data to power various Sales Cloud AI agents, significantly boosting sales productivity. You will have the opportunity to work with cutting-edge technology and make a real impact on the sales industry.
- Demonstrated experience acting as a CI/CD champion, with a proven ability to uplift and mentor teams in best practices and automation
- 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
- Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies
- Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby
- Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure
- Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments
- Hands-on experience with building big data high availability pipelines with Flink
- Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers
- Degree in Computer Science (B.S. required, M.S. preferred) with a solid grasp of object-oriented design and principles
- Proven ability to develop low-latency, large-scale data ingestion pipelines
- Background in creating enterprise-grade, AI-driven sales solutions
- Expertise with message queuing technologies like Kafka
- History of architecting distributed real-time streaming systems
- Hands-on experience with open-source ecosystems including Flink, Spark, Storm, Cassandra, Zookeeper, and MongoDB
- At least 5 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
- Experience managing and monitoring mission-critical infrastructure, including logging, alerting, and reporting services
- Familiarity with container orchestration platforms like Docker, Kubernetes, Helios, Fleet, or Mesos
- 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
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