Software Developer

POSITION OVERVIEW

We are seeking a highly versatile developer to support a diverse portfolio of technical responsibilities spanning application/API development, database development, DevOps, and business analysis.

This is a hybrid, multi-hat role suited to someone who is not only technically deep in specific areas but also demonstrably effective at using AI-assisted tools (e.g., Copilot, Claude, ChatGPT, or similar) to accelerate and improve the quality of solution development across the stack.

This position does require strong SQL coding skills and a solid grasp of database development best practices (schema design, indexing, query optimization, normalization).

Key Responsibilities

• This role blends hands-on development, DevOps, and business analysis, with the majority of time dedicated to building and maintaining applications and integrations where the candidate should bring solid, proven experience.
• A meaningful part of the role also involves services and API development delivering resilient backend services and clean, secure, well-documented APIs. Database development responsibilities are lighter in scope and call for solid SQL coding skills and a good working knowledge of database best practices (schema design, indexing, normalization), rather than deep specialization.
• On the DevOps side, the candidate will support application monitoring at a working-knowledge level and application deployment managing CI/CD pipelines and ensuring smooth, low-risk releases.
• The ideal candidate will have a firm grasp of business analysis with the ability to gather and translate business requirements, liaising between technical and business stakeholders, and supporting prioritization.
• Across every one of these areas, the candidate should be able to demonstrate genuine, hands-on proficiency using AI-assisted development tools to design, build, debug, and optimize solutions effectively.

Requirements

Required Qualifications

• Demonstrated professional experience across most or all of the skill areas listed above
• Proven, demonstrable proficiency in AI-assisted software development — candidates must be able to show specific examples (code samples, case studies, or a portfolio) of using AI tools (e.g., GitHub Copilot, Claude, ChatGPT, Cursor, etc.) to design, build, debug, or optimize solutions
• Strong understanding of the full software development lifecycle (SDLC)
• Excellent written and verbal communication skills, particularly for the Business Analysis component

Preferred Qualifications

• Relevant certifications (e.g., Microsoft/Azure or AWS DevOps certifications)
• Experience mentoring or supporting less senior developers on lower-proficiency tasks (e.g., Application Monitoring)