Database Engineering Associate

About the Role

The GovCloud Database team is committed to the security and efficiency of data and database management. We build technology solutions for the diverse needs of our government cloud customers, including services that keep our databases and applications running smoothly. 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.

Key Responsibilities

• 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

Requirements & Tech Stack

• Python
• Amazon Web Services (AWS)
• Relational Database Management Systems (RDBMS)
• Docker
• Kubernetes
• EKS
• GKE
• Linux
• Shell scripting
• Golang
• Ability to participate in a 24/7 on-call rotation

Qualifications

• Strong background in Computer Science or a related technical field
• Located in North America
• 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
• Experience with log management and analytics platforms such as Splunk or the ELK stack (Elasticsearch, Logstash, Kibana)
• Cybersecurity fundamentals
• Experience with PostgreSQL
• Experience in any of the monitoring tools like Grafana, Prometheus, etc.