FinQuery

SaaS

DatabaseEngineer/DatabaseAdministrator

$350–550k ~AI est. South Africa FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Database Engineer / Database Administrator at FinQuery. Skills: Database Administration, PostgreSQL, AWS RDS, AI agents. Administer AWS PostgreSQL databases. Monitor AWS PostgreSQL databases”

Industry & Context.

SaaS
Problems you'll solve

Spot performance issues; Find tuning opportunities; Dig into query performance problems; Troubleshooting

What They're Looking For.

Must Have

Solid foundation in relational databases, Experience designing databases, Familiarity with SQL, Comfort using AI assistants

Nice to Have

1 or more years of experience in a data/database engineer or DBA role, 3 or more years of experience working with databases, Hands-on experience with AWS RDS or Aurora, Demonstrated use of AI agents or LLM-powered tools

What You'll Do.

Administer AWS PostgreSQL databases

Monitor AWS PostgreSQL databases

Spot performance issues

Find tuning opportunities

Review data architecture changes

Share feedback on changes

Dig into query performance problems

Grow skills in database optimization

Take part in release processes

Take part in deployment processes

Contribute to internal improvements

Automate manual tasks

Speed up data delivery

Support infrastructure growth

Use AI agents for routine work

Use LLM-powered tools for routine work

Handle query analysis

Handle schema reviews

Handle troubleshooting

Keep RDS systems running

Assess data schemas for efficiency

Improve data schemas for efficiency

Spot redundant columns

Evaluate table structures

Research new technologies

Propose AI-driven solutions

Bring ideas to make systems productive

Bring ideas to make team productive

How You'll Work.

Team & Collaboration

Collaborate with development teams; Collaborate with other departments; Work alongside senior engineers

Communication Scope

Communication is a big part

Process & Methodology

Release processes, Deployment processes

Full Job Description

## Description FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts—like leases, prepaids, and accruals—that are the backbone of modern business. We are not just a software provider; we are the unified subledger that eliminates time-intensive, error-prone technical accounting workflows, ensuring financial reports are accurate and empowering our customers to focus on strategic, high-value tasks.   FinQuery is the global leader in lease accounting (as recognized on G2.com) and serve more than 8,500 customers worldwide. Our growth trajectory has been consistently validated by the Inc 5000, which has recognized us as one of the fastest-growing private companies for five consecutive years. ## How You'll Make an Impact Help administer and monitor AWS PostgreSQL databases, picking up best practices for reliability and performance along the way Work alongside senior engineers to spot performance issues and find tuning opportunities Collaborate daily with development teams and other departments since communication is a big part of this job Review developer-driven data architecture changes and share feedback, with guidance from senior team members Dig into query performance problems and grow your skills in database optimization Take part in release and deployment processes, getting real exposure to production workflows Contribute to internal improvements like automating manual tasks, speeding up data delivery, and supporting infrastructure growth Use AI agents, LLM-powered tools, and automation to handle routine work like query analysis, schema reviews, documentation, and troubleshooting more efficiently Keep RDS systems running well day to day Help assess and improve data schemas for efficiency by reviewing indices, spotting redundant columns, and evaluating table s

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