Flink Lead Software Engineer

Salesforce Salesforce · Enterprise · San Francisco, CA

Lead Software Engineer role focused on building and operating a high-scale, low-latency platform (Sales Intelligence Platform - SIP) for Sales Cloud AI. This platform processes real-time conversational data (voice, video, email) to power AI agents that enhance sales productivity. The role involves architecture, development, and operation of streaming pipelines, with a strong emphasis on distributed systems and Flink.

What you'd actually do

  1. architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines
  2. processes conversational data from voice, video, and email to power various Sales Cloud AI agents
  3. generating intelligent insights from conversational data, the platform empowers sellers to enhance their overall efficiency
  4. architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers
  5. building big data high availability pipelines with Flink

Skills

Required

  • Degree in Computer Science (B.S. required, M.S. preferred)
  • 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
  • Hands-on experience with building big data high availability pipelines with Flink
  • Demonstrated experience acting as a CI/CD champion, with a proven ability to uplift and mentor teams in best practices and automation
  • 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

Nice to have

  • 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 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
  • 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

What the JD emphasized

  • high-scale, low-latency platform
  • real-time ingestion and streaming pipelines
  • conversational data
  • Sales Cloud AI agents
  • big data high availability pipelines with Flink