Database DevOps Engineer

Job Title:

Dev Ops Database Engineer – AI and Infrastructure

Salesforce is a leading AI CRM provider. The CRM Database Sustaining Engineering Team deploys and manages some of the world’s most trusted databases. We are looking for a seasoned Dev Ops 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 Dev Ops best practices across a large‑scale, mission‑critical environment.

Proven ability to support 24×7×365 mission‑critical database infrastructure, including production incident management and root‑cause analysis.

• 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 No
  
  SQL, 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.
• Strong communicator with a proactive, detail‑oriented mindset and the ability to thrive in a fast‑paced, large‑scale cloud environment.

• Cloud deployment experience on AWS (EKS, RDS or equivalent managed services) and familiarity with Apache Bookkeeper.
• Experience with AI‑powered observability and monitoring tools such as Grafana, Splunk or AIOps platforms for anomaly detection and predictive alerting.
• Hands‑on experience using AI/ML tools for automated query optimization
  , capacity planning or intelligent incident response.
• Exposure to data engineering for AI pipelines including feature stores, embedding generation and ETL workflows for model training datasets.
• Agile/Scrum methodology and full SDLC exposure, from requirements gathering through operational support.
• Demonstrated ability to drive automation initiatives and deliver innovation from concept to production.

• Time off programs, medical, dental, vision and mental health support.
• Paid parental leave, life and disability insurance, 401(k) and employee stock purchasing program.
• Equity and incentive compensation available in select roles.

Salesforce is an equal‑opportunity employer. Employment decisions are made based on merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status, marital status or any other classification protected by law. Salesforce complies with the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, and will consider qualified applicants with arrest and conviction records.