Database Performance Software Engineer

Agiloft

165d

About The Position

As a Database Performance Software Engineer, you will work with a fast-moving, ambitious team, building our data-centric, AI-driven Contract Lifecycle Management software solutions. You will work closely with backend engineers, DevOps, and product teams to ensure our relational (SQL) and non-relational data layer scales and maintains low latency, high availability, and cost efficiency while supporting rapid growth. This is a hands-on engineering role where you’ll analyze query performance, design schema improvements and schema extensions, federate and aggregate data sources into a cohesive and coherent data layer to support application services, build monitoring tools, and guide best practices across the engineering organization.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
• Minimum of 7 years of professional experience as software engineer or data architect
• Experience building modern, cloud-native, multi-tenant applications using cloud hosted databases
• Proficiency in building data centric applications and tools in Python and Java
• Interest in building enterprise software with deep customer empathy, taking pride in contributing to a world class end-to-end user experience
• Strong problem-solving, collaboration, teamwork and communication skills
• Eagerness to learn and adapt to new technologies and tools
• Deep understanding of SQL databases, query optimization, and database indexing
• Techniques and tooling for monitoring and improving database performance
• Change management methodologies for incremental enhancement and change of data schemas, including versioning and rollback
• Version control systems (Git)
• CI/CD tools such as GitHub Actions or similar
• Cloud platforms (AWS preferred)
• Familiarity with observability tools (Prometheus, Grafana)
• Modern software development lifecycle on an agile product team environment

Nice To Haves

• Comfortable working with Infrastructure as Code in AWS
• Expertise using Java-centric data libraries and ORM (JPA, Hibernate)

Responsibilities

• Work with cross-functional agile team members throughout the software development lifecycle to conceptualize, ideate, prototype, build, monitor and maintain a high-quality foundational data layer for the platform architecture
• Analyze and optimize queries, indexes, and schema design for database use, including PostgreSQL, MySQL, DynamoDB and vector databases
• Partner with backend engineers (Python, Java) to design efficient data models and reduce costly query patterns
• Monitor and troubleshoot database performance, reliability, and availability issues
• Implement load testing, benchmarking, and stress testing strategies
• Collaborate with DevOps to optimize database deployment, scaling, and failover strategies on AWS (RDS Aurora EC2, S3, CloudWatch)
• Guide engineering teams in writing performance-conscious SQL and ORM queries
• Stay ahead of emerging database technologies and recommend solutions that improve scalability and cost efficiency
• Other duties as assigned

Benefits

• Floating holidays
• Quarterly wellness day

What This Job Offers

• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees