Software Engineer (database, AI)

About the Role

We are seeking a highly skilled and self-driven Software Engineer (with emphasis on database dev) to join our team. This is a fast-paced role that demands someone who can hit the ground running, navigate complex systems independently, and deliver results quickly. If you thrive in autonomous environments, love solving hard problems, and embrace modern AI-assisted development tools, this role is for you.

Key Responsibilities

• Design, develop, and maintain applications across a variety of platforms and database systems
• Analyze existing codebases — including business logic and data flows — to understand how current systems work, then extend or modernize them with minimal supervision.
• Rapidly prototype and deliver solutions in a high-velocity environment with shifting priorities
• Use AI development tools (Cursor, Claude, Copilot etc.) as force multipliers — providing them sufficient context, business rules, and guidance to generate accurate, production-quality output.
• Research unfamiliar technologies, frameworks, and legacy code patterns independently, and produce working solutions based on that self-directed learning

Required Qualifications

• 5+ years of professional software development experience.
• Hands-on experience with multiple database technologies (e.g., PostgreSQL, MySQL, SQL Server, DB2 iSeries, Oracle, NoSQL)
• Demonstrated ability to work across diverse application stacks and environments
• Excellent analytical and problem-solving skills — able to independently assess a situation, identify the root cause, and implement a fix or feature without waiting for step-by-step direction
• Proven track record of delivering projects quickly and with high quality
• Python and/or microservices development experience

Candidates whose experience is primarily in the following areas are not a strong fit for this role:

• Heavy ETL / data pipeline work focused on migrating data between databases or into cloud platforms
• Development experience centered primarily on cloud-native platforms (AWS, Google Cloud Platform, Azure)
• Big data engineering (Spark, Hadoop, data lakes, data warehouses, etc.)

We are looking for developers who build and maintain applications and services — not data movement specialists or cloud infrastructure engineers.