Database DevOps Engineer
Role details
Job location
Tech stack
Job description
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.
Requirements
- 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., * 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 eature 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.
Benefits & conditions
benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.