Lead Engineer

We value problem-solving ability, adaptable thinking, and hands-on capability over rigid formal checklists.

• Technical Expertise: Strong background in C# and .NET environments is preferred (or expertise in similar OO languages like Java with a language-agnostic mindset and quick adaptability).
• Distributed Architecture & Scale: Proven experience designing, building, and maintaining scalable distributed systems and cloud platforms (e.g., AWS).
• AI Enthusiast / Forward-Thinker: Genuine interest or hands-on experience in leveraging AI tools, LLMs, or agentic AI systems to transform engineering workflows and user experiences.
• Diverse Environmental Exposure: Experience navigating complex codebases, legacy modernization, or fast-paced technical environments (e.g., consulting, fintech, banking, SaaS, or regulated sectors).
• Pragmatic Leadership: A track record of coaching engineers, managing technical trade-offs, and resolving complex technical challenges with clear communication.
• Note: A formal Computer Science degree is not mandatory—we prioritize real-world experience, skills, and impact.