Offer summary

Qualifications:

Over 7 years of experience in software engineering., At least 3 years in technical leadership or engineering management., Proven expertise in full stack web development with React and Node.js., Strong background in cloud platforms like Azure and data engineering with Python..

Key responsibilities:

Lead and mentor an R&D team across web, native, and AI-enabled product development.

Define and implement engineering best practices from design to deployment.

Contribute code, perform peer reviews, and ensure high-quality deliverables.

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

Job description

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.

Required profile