As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.

POSITION OVERVIEW

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.

REQUIRED QUALIFICATIONS

• 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
• Proven experience tuning database performance for high volume, low latency, applications
• Experience with multiple database architectures including relational, NoSQL, and vector databases
• 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

PREFERRED QUALIFICATIONS

• Comfortable working with Infrastructure as Code in AWS
• Expertise using Java-centric data libraries and ORM (JPA, Hibernate)
  Background checks will be conducted on an ongoing basis every 3 years or as needed for individuals in this role.
  Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.
  Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.
  Applications will be reviewed as submitted. There will be no application deadline for this opportunity

• 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
• Design and implement strategies for optimizing performance and scalability, including query parallelization, caching, sharding, partitioning
• Drive large scale production schema migrations and schema refactoring with minimal downtime
• Stay ahead of emerging database technologies and recommend solutions that improve scalability and cost efficiency
• Other duties as assigned