Database DevOps Engineer, Salesforce

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, with **10+ years** of hands-on experience as a Database Engineer, DBA, or similar role
• Advanced proficiency in at least one scripting language (Python, Ruby, Java, Perl, or C++), with deep expertise in **Oracle and PostgreSQL** performance tuning and schema design
• Hands-on experience with CI/CD tooling **(Jenkins, Spinnaker, Helm, GIT)**, containerization **(Docker, Kubernetes/EKS/GKE)**, and Infrastructure as Code **(Terraform)**
• Solid understanding of NoSQL, distributed systems, and big data ecosystems such as **Hadoop, HDFS, and Apache Zookeeper**
• Familiarity with AI/ML frameworks and experience integrating machine learning models with database and data pipeline workflows
• Experience working with vector databases **(pgvector or equivalent)** and supporting AI-driven applications and LLM-based workloads at scale
• Proven ability to support **24x7x365** mission-critical database infrastructure, including Production Incident Management and root cause analysis
• Strong communicator with a proactive, detail-oriented mindset and the ability to thrive in a fast-paced, large-scale cloud environment

Desirable

• The CRM Database Sustaining Engineering Team deploys and manages some of the world's most trusted databases. Our customers rely on us to keep their data safe and highly available
• We're looking for a seasoned DevOps Database Engineer who thrives at the intersection of database engineering, modern cloud infrastructure, and applied AI
• You'll own the reliability, performance, and scalability of our database systems while leveraging AI/ML tools to drive automation, intelligent monitoring, and DevOps best practices across a large-scale, mission-critical environment