Senior DBA
- Accepting Applications Closed
- US Company | Large (251-500 employees)
- LATAM (100% remote)
- 5+ years
- Short-term (40h)
- SaaS Tools
- Full Remote
Required skills
- MSSQL
- Amazon Elastic Compute Cloud
- PostgreSQL
- SQL
- Amazon Relational Database Service
- AWS
Requirements
Must-haves
- 5+ years of software development experience in database administration
- Experience with SQL Server administration in cloud environments (MSSQL, AWS EC2)
- Experience with PostgreSQL
- Experience with managed and serverless database services (RDS, Aurora)
- Proficiency with advanced SQL development and performance optimization
- Ability to design, debug, and tune complex queries, stored procedures, and views
- Deep knowledge of database maintenance practices including indexing strategies, backup validation, and patching
- Ability to monitor database systems and implement continuous performance improvement initiatives
- Strong communication skills in both spoken and written English
Nice-to-haves
- Startup experience
- Proficiency with AI-assisted development and automation tools (Cursor, Windsurf, Gemini CLI, Claude Code, Codex)
- Bachelor’s Degree in Computer Engineering, Computer Science, or equivalent
What you will work on
- This is a full-time role (40 hours/week) for a 6-month contract
- Lead database administration activities focused on SQL Server environments running on AWS EC2
- Optimize database health, performance, and scalability across production systems
- Diagnose and resolve performance issues using SQL Server logs, extended events, and execution plans
- Configure and maintain high availability and disaster recovery setups (AlwaysOn, backups, restores)
- Tune database and instance-level settings including memory management, MaxDOP, and resource usage
- Manage and optimize cloud-based database workloads to ensure high availability and reliability
- Work with both managed and serverless database deployments when applicable
- Contribute to sprint planning and delivery workflows using Linear
- Manage database code changes (DDL, DML, scripts) through GitHub using feature branches and pull requests
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