Senior Developer (DBA + SQL)

Bounteous; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Bounteous is seeking a seasoned Database Administrator to own production SQL Server environments across Azure SQL Database, Azure SQL Managed Instance, and AWS MySQL. You will optimize T-SQL, review queries, and align with the architecture team to ensure reliable production operations.

The role requires 5+ years of DBA experience with SQL Server and cloud databases, plus expertise in execution plans, indexing, EF SQL patterns, and AI-assisted automation.

Qualifications

• 5+ years of hands-on DBA experience with SQL Server.
• Proficiency with Azure SQL Database and Azure SQL Managed Instance.
• Experience with cloud-hosted relational databases, including AWS MySQL.

Responsibilities

• Administer production SQL Server environments across Azure SQL Database, Azure SQL Managed Instance, and AWS MySQL.
• Author, review, and optimize T-SQL queries, stored procedures, DML statements, and schema changes.
• Perform query performance tuning via execution plans, indexing strategies, statistics management, and operator-level diagnostics.
• Collaborate with the lead architect to evaluate decisions impacting production environments.
• Develop and maintain understanding of production schemas, data flows, and system architecture.
• Support Entity Framework applications by analyzing generated SQL and suggesting optimizations.
• Leverage AI tooling to enhance database operations, monitoring, and automation.

Skills

SQL Server

Azure SQL

AWS MySQL

T-SQL

Query optimization

Execution plans

Entity Framework

AI tooling

Performance tuning

Operator analysis

Education

Bachelor's degree in Computer Science

Job description

• Administer and manage production SQL Server environments across Azure SQL Database, Azure SQL Managed Instance, and AWS MySQL
• Author, review, and optimize T-SQL queries, stored procedures, DML statements, and schema changes
• Perform query performance tuning through execution plan analysis, indexing strategies, statistics management, and operator-level diagnostics
• Collaborate closely with the lead architect to evaluate and implement decisions impacting production environments
• Develop and maintain a thorough understanding of production schemas, data flows, and system architecture
• Support Entity Framework-based applications by analyzing generated SQL and recommending optimizations
• Leverage AI tooling to enhance database operations, monitoring, and automation practices
• Proactively identify and resolve performance bottlenecks, risks, and operational inefficiencies

Key Responsibilities

• Administer and manage production SQL Server environments across Azure SQL Database, Azure SQL Managed Instance, and AWS MySQL
• Author, review, and optimize T-SQL queries, stored procedures, DML statements, and schema changes
• Perform query performance tuning through execution plan analysis, indexing strategies, statistics management, and operator-level diagnostics
• Collaborate closely with the lead architect to evaluate and implement decisions impacting production environments
• Develop and maintain a thorough understanding of production schemas, data flows, and system architecture
• Support Entity Framework-based applications by analyzing generated SQL and recommending optimizations
• Leverage AI tooling to enhance database operations, monitoring, and automation practices
• Proactively identify and resolve performance bottlenecks, risks, and operational inefficiencies

Required Qualifications

Technical

• 5+ years of hands-on experience as a Database Administrator with hands-on SQL Server expertise
• Proficiency with Azure SQL Database and Azure SQL Managed Instance
• Experience with cloud-hosted relational databases, including AWS MySQL
• Advanced T-SQL skills, including DDL, DML, stored procedures, and query optimization
• Demonstrated ability to interpret execution plans and conduct operator-level query analysis
• Working knowledge of Entity Framework and its SQL generation patterns
• Familiarity with AI tools and their application in database management and automation

Professional Attributes

• Strong operational mindset with a focus on reliability, performance, and production stability
• Decisive and composed under pressure, with the ability to make sound judgments in live production environments
• Self-directed and proactive, with a track record of identifying and addressing issues independently
• Intellectually curious, with a demonstrated commitment to continuous learning and professional growth
• Highly reliable, with a strong sense of ownership and accountability
• Collaborative team player with the ability to serve as a trusted technical partner to senior leadership
• Well-rounded perspective that extends beyond data semantics to encompass system-wide operational awareness