Responsibilities:

• Lead and mentor a high-performing R& D team across web, native, and AI-enabled product development.

• Define and drive the implementation of engineering best practices, from design to deployment.

• Contribute code, perform peer reviews, and ensure high-quality deliverables across the stack.

• Architect scalable, secure, and maintainable solutions across front-end, back-end, data, and ML systems.

• Guide the team through complex technical challenges and own key architectural decisions.

• Drive innovation by exploring emerging technologies, prototyping, and applying cutting-edge engineering practices.

• Own technical screening and hiring for R& D roles, ensuring a high talent bar.

• Communicate effectively with stakeholders, translating technical goals into clear roadmaps.

• Maintain responsibility for timelines, budgets, and the continuous evolution of the tech stack.

• Foster a culture of learning, collaboration, and technical excellence.

Technical Expertise

• Full Stack Development: Proven experience in modern web development with React, Node.js.

• Native Development: Experience with Windows applications, .NET Core and cross-platform systems.

• Back-End Systems: Expertise in MongoDB, PostgreSQL, RESTful APIs, microservices architecture.

• DevOps & Cloud: Experience with Azure, CI/CD pipelines, Infrastructure as Code (e.g., Terraform, Bicep).

• Data Engineering: Experience building data pipelines, working with pandas, and orchestrating data workflows.

• Python: Advanced proficiency in Python for scripting, data processing, and AI integration.

• AI/ML & LLMOps: Familiarity with LangChain, local model orchestration (e.g., Ollama, vLLM), and MLOps principles.

Leadership & Execution

• 7+ years of experience in software engineering.

• 3+ years in a technical leadership or engineering management role.

• Proven success in leading R& D projects from concept to production.

• Comfortable leading by example and getting into the codebase.

• Excellent problem-solving and systems-thinking skills.

• Strong communication and collaboration skills across technical and non-technical stakeholders.