Job Description

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 client's 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 client's team at the company.

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