Database DevOps Engineer

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. 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. About the Role 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. Preferred Qualifications 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

Required Skills