PL/SQL Developer

About the Role:

We are seeking a highly skilled and self-driven Senior Application Developer 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.

Application Requirements

All applicants must include the following with their submission. Applications without these will not be considered.

1. Two Complex Projects You Contributed Significantly To

For each project, describe:

* What the project was and what problem it solved

* Your specific role and contributions

* The design approach you chose (architecture, data model, technology stack)

* Why you made those design decisions — what alternatives you considered and why you ruled them out

* Any notable challenges you encountered and how you resolved them

2. Two Technical Solutions You Proposed

For each solution, describe:

* The problem or opportunity that prompted your proposal

* What you recommended and how you presented or justified it

* The outcome — was it adopted, and what was the impact?

We are looking for evidence of technical depth, independent thinking, and the ability to own a design from problem statement through implementation. Vague or generic answers will not move forward in the process.

3. Two Examples of How You Have Used AI Development Tools

For each example, describe:

* Which AI tool(s) you used (e.g., Cursor, Claude, GitHub Copilot, ChatGPT, etc.)

* Which project or task it was applied to

* What you were trying to accomplish and how you used the AI tool to get there

* How you provided the tool with sufficient context — business rules, existing code structure, data models, constraints — so that its output was actually useful and production-appropriate

* What the outcome was: did it save time, improve quality, uncover something you hadn''t considered?

* Any limitations you ran into and how you worked around them

We are not looking for "I used Copilot for autocomplete." We want to see evidence that you know how to guide AI tools effectively — that you understand the work well enough to direct the tool, validate its output, and integrate it into a real development workflow. Candidates who cannot demonstrate this will not be competitive in this process.