> Markdown version of [/jobs/ext/3758952-database-engineering-associate](https://www.wearedevelopers.com/jobs/ext/3758952-database-engineering-associate). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Database Engineering Associate - **Company:** Salesforce.com, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Starter - **Salary:** $111,000.0 - $133,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Systems Engineering, Cloud Computing, Cyber Security, Computer Programming, Databases, Data Migration, Relational Databases, Software Debugging, Linux, Distributed Systems, Elasticsearch, Monitoring of Systems, Python (Programming Language), PostgreSQL, NoSQL, Logstash, Prometheus, Scripting, Grafana, Reliability of Systems, Generative AI, AI Coding Agents, Kubernetes, Information Technology, Kibana, Splunk, Docker, Elk Stack, Golang - **Published:** October 15, 2026 - **Apply:** https://diversityjobs.com/career/18643833/Database-Engineering-Associate-Washington-Bellevue ## About the Role **This candidate must be a U.S. citizen (U.S. born or naturalized) operating on U.S. Soil who does not hold dual citizenship and has the ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan. Due to the citizenship requirements for this role, which supports U.S. federal, state, and/or local government customers, citizenship will be verified through two of the following REAL ID Act documents: U.S. Passport, Passport Card, REAL Driver's License, Global Entry Card, U.S. Government CAC/PIV. You agree to complete a Minimum Background Investigation (MBI) for a Moderate Public Trust position with the U.S. federal government and gain other clearances as deemed appropriate for the role.**, * Strong background in Computer Science or a related technical field * Located in North America * Python, Amazon Web Services (AWS), and Relational Database Management Systems (RDBMS) skills * 0-2 years of experience deploying distributed applications using containers (Docker) and orchestration platforms (Kubernetes, EKS, GKE) * 0-2 years of hands-on AWS experience, including building and operating production-grade infrastructure * 0-2 years of database engineering experience (relational, NoSQL, or both) * 0-2 years of Linux system engineering experience * 0-2 years of scripting or programming experience in Shell, Python, and/or Golang * Willing and ready to participate in a 24/7 on-call rotation Even Better If... * Practical experience using AI tools, such as AI coding assistants or generative AI, to speed up development, automate workflows, or improve infrastructure quality * Experience with log management and analytics platforms such as Splunk or the ELK stack (Elasticsearch, Logstash, Kibana) * Kubernetes * Cybersecurity fundamentals * Experience with PostgreSQL * Experience in any of the monitoring tools like Grafana, Prometheus, etc. ## Description As an Associate Database Engineer, you'll help deliver scalable data migration, capacity management, and cloud infrastructure improvements. We're looking for database automation engineers who are ready to take on significant challenges and drive innovation in database technology. What You'll Actually Be Doing * Come up with innovative ideas to improve performance, scalability, and resilience in a large-scale platform * Implement comprehensive functional and system tests for your area of responsibility and for overall database quality * Debug, conduct root cause analysis, and diagnose defects * Participate in database automation and feature enhancement on premises and in public cloud platforms * Take responsibility and accountability for the availability and reliability of all production databases * Work with other Engineering teams to triage issues * Define, develop, and deploy system monitoring requirements and thresholds, as well as corrective actions * Improve system reliability through predictive analysis * Collaborate with stakeholders and give them detailed feedback on resiliency initiatives * Participate in production Incident Management and Escalation Management calls and drive incidents to resolution * Provide technical and platform support to the customers and stakeholders who use the production systems