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SalesforceCalifornia - San Francisco, United States of America {{REMOTE}}
Flink Senior/Lead Software Engineer
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RemoteFull Time$172.5k - $285.8k per yearPosted 9 days ago
About the role
- Sales Cloud AI is revolutionizing how organizations strategize, execute, and refine their lead outreach and pipeline management. We are looking for engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud
- In this role, you will be responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines
- The Sales Intelligence Platform (SIP) processes conversational data from voice, video, and email to power various Sales Cloud AI agents. These agents provide tools for lead outreach and pipeline management, significantly boosting sales productivity. By generating intelligent insights from conversational data, the platform empowers sellers to enhance their overall efficiency Benefits
- Medical Care
- Life Insurance
- Retirement Savings
- Employee Assistance Programs
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
- 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
- End Date: November 1, 2026