Staff Database Engineer

Trellix

full-time

Posted on: 9/7/2025

Location: 🇺🇸 United States

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Lead

AnsibleAWSCloudCyber SecurityEC2GreenplumJenkinsLinuxNoSQLPostgresPythonSQL

About the role

Improve and maintain software development and database design, test and deliver infrastructure and services
Work closely with the development teams, follow DevOps practices, automate infrastructure activities, documents standards and procedures
Design and manage PostgreSQL (self hosted and Aurora), and Greenplum, and similar DB clusters, ensuring high availability and disaster recovery resilience
Optimize the usage of public cloud based resources to ensure cost-effective and efficient use
Monitor and maintain database systems in cloud environments and on-prem, ensuring data security and availability
Drive the existing automation frameworks forward to benefit automation across multiple products, and may be asked to create new frameworks depending on need
Provide visibility on application health by defining dashboards, metric/log aggregation mechanisms
Ensure that the database architecture complies with organizational security policies and best practices
Implement database encryption, user management, and access controls
Evaluate new technologies and provide proof-of-concept
Improve site performance, monitoring and overall stability of our infrastructure
Additional duties as assigned

Strong knowledge of Linux systems administration and architecture
Experience with configuring, managing and supporting virtualized environments
Experience with continuous integration and deployment automation tools such as Jenkins, Ansible, GitHub Actions, ArgoCD
Experience with SQL and NoSQL databases
In-depth knowledge of SQL, PL/pgSQL, and advanced PostgreSQL features like triggers, stored procedures, and replication
Familiarity with AWS services (Aurora, RDS, EC2, S3, etc.) and cloud database management practices
Expertise in tuning PostgreSQL databases for high performance, including memory usage optimization, connection pooling, and query optimization
Proficiency in analyzing and resolving database performance issues, especially in high-traffic and high-volume production environments
Analyse slow-running or poor performing queries and optimize performance through proper indexing, query restructuring, or caching mechanisms
Extensive scripting experience, including extract, transform, and load programs (Python preferred)
Experience supporting, analyzing and troubleshooting large-scale distributed mission critical systems