Engineering Tech Lead, Software Development  

Mission: To lead a software development team in building and maintaining high-quality, scalable, and robust software solutions. This individual will be a hands-on technical expert, a mentor, and a key partner in defining our technical strategy, with a focus on leveraging modern, AI-driven methodologies.

Key Requirements:

Core Technology Stack:

• Go (Golang): Expert-level proficiency is a must. The candidate should have extensive hands-on experience building complex, production-grade applications with Go.
• JavaScript & TypeScript: Strong, professional-level fluency for work across the full stack.
• Deep Technical Understanding:
• Goes beyond syntax to a deep understanding of computer science fundamentals, data structures, algorithms, and system design principles.
• ⁠Essential experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.

Proven Team Leadership:

• Demonstrable experience leading and mentoring an engineering team, conducting code reviews, and fostering a collaborative, high-performance culture.

Architectural and System Design Skills:

• A strong track record of designing scalable and resilient systems, with the ability to discuss design patterns, microservices, API design (REST, gRPC), and technical trade-offs.

Effective Communication:

• Excellent command of English (written and verbal) to articulate complex technical concepts to diverse audiences.

Strategic Thinking:

• Ability to align technical decisions with business goals, anticipate future challenges, and contribute to the long-term technical roadmap.

Familiarity with AI in Software Development:

• We are looking for a candidate with experience or strong interest in applying AI to the software development lifecycle.
• ⁠This includes leading product teams using AI-powered tools to accelerate development. A strong plus would be familiarity with concepts like Spec-Driven Development.
• ⁠The ideal candidate actively explores ways to leverage modern AI to improve team velocity and product quality.

Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Technical Expertise:

• Expert-level proficiency in Go (Golang) with proven experience building complex, production-grade applications.
• Strong proficiency in JavaScript and TypeScript for full-stack development.
• Solid understanding of computer science fundamentals, data structures, algorithms, and system design principles.

Cloud and DevOps: Hands-on experience with major cloud platforms (AWS, GCP, or Azure), containerization technologies (Docker, Kubernetes), and CI/CD pipelines.

Architecture and System Design: Proven ability to design scalable, resilient systems, including microservices architecture, API design (REST, gRPC), and sound knowledge of design patterns and trade-offs.

Leadership: At least 5 years of professional software development experience, with a minimum of 2 years in a technical leadership role managing and mentoring engineers.

Communication: Excellent verbal and written communication skills in English, with the ability to convey complex technical concepts clearly.

Strategic Mindset: Demonstrated ability to align technical solutions with business objectives and contribute to long-term technical strategy.

AI in Software Development: Experience or strong interest in leveraging AI-driven tools and methodologies to enhance software development processes. Familiarity with concepts like Spec-Driven Development is a strong plus.