General Requirements
Leadership:
Demonstrated ability to act as a tech lead, guiding the design, development, and implementation of full-stack solutions while ensuring alignment with best practices and the company and its clients objectives.
Skilled in mentoring and supporting team members, fostering a culture of collaboration, innovation, and continuous improvement.
Strong technical decision-making abilities, prioritization of tasks, and managing resources to meet project deadlines.

Collaboration Across Teams:
Proven ability to build strong partnerships with product, technology, and business stakeholders, actively listening to understand their needs and challenges and adjusting approach and thinking accordingly.

Personal Growth Mindset, Problem-Solving & Adaptability:
Adopt an AI-led development mindset by integrating AI tools and automation into the software development lifecycle, leveraging AI for code generation, testing, debugging, and optimization to enhance productivity.
Deep interest in learning and adopting emerging technologies, particularly in the rapidly evolving AI and full-stack development landscape.
Proactive approach to problem-solving, solution design, and the development process as well as associated challenges.
Enjoy working in a fast-paced and changing environment, with the ability to react and adapt quickly to changes.

Communication:
Ability to convey technical insights to both technical and non-technical stakeholders clearly and effectively.

Technical Skills
Full-Stack Development:
Expertise in designing and developing scalable, high-performance full-stack applications, ensuring robust and efficient system architecture.
Strong experience with modern frontend and backend development frameworks, including React, Tailwind CSS, Node.js, and TypeScript.
Knowledge of microservices architecture and best practices for modular application design.

Database Management & Optimization:
Proficiency in managing relational and NoSQL databases, including PostgreSQL and Snowflake, ensuring efficient query execution and data integrity.
Experience with vector databases for integrating AI-driven features like search and recommendation systems.

API & Integration Development:
Strong experience in developing RESTful and GraphQL APIs, ensuring seamless integration between frontend, backend, and external systems.
Expertise in middleware application development, supporting data flow between systems using Tachyon, Temporal, and similar orchestration tools.
Experience with data ingestion, pipeline management, and integration solutions in distributed environments.

Cloud & DevOps:
Deep understanding of AWS services for scalable, secure, and high-availability system deployment.
Experience in containerization (Docker, Kubernetes) and infrastructure automation using Terraform.
Strong knowledge of CI/CD pipelines and DevOps best practices for continuous integration and deployment.

AI & Intelligent Automation:
Experience in retrieval-augmented generation (RAG) workflows, enabling intelligent data ingestion and pipeline management.
Hands-on experience integrating AI-powered solutions, such as LLMs, embeddings, and LangChain frameworks.
Knowledge of AI-driven automation tools to improve software development efficiency and data processing.

Security & Performance Optimization:
Strong understanding of secure coding practices, data privacy, and compliance requirements.
Experience in performance tuning, monitoring, and optimizing full-stack applications at scale.

Nice to Have:
Familiarity with real-time data streaming and event-driven architectures.
Experience with multi-cloud environments and hybrid cloud solutions.

This role requires a strong technical foundation, a passion for AI-driven development, and the ability to lead high-impact projects in a dynamic environment. If you are an innovative problem solver looking to work on cutting-edge full-stack solutions, we invite you to join our clients team at the company.

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