Junior Full Stack Engineer

Noogata is looking for an experienced a Junior Software (Full Stack) Engineer to join our team and help grow and scale our AI Assistant for eCommerce Product. 

What you’ll be doing

• Hands-on Development of Noogata’s main product-line. Our stack includes Python, open source and cloud data-tools (BigQuery, Redis, Postgres) in a microservices architecture. 
• Work in a team of talented engineers, fostering a culture of collaboration and innovation.
• Data, Data, Data: Noogata’s technology, collects, analyzes, trains and delivers large scales of data. You will help us build our backend data architecture, including AI/ML pipelines, data-base schemas and production grade data practices. We do a lot of  work with modern LLM stacks (OpenAI, Llama, Anthropic) as an area of focus. 
• Use Modern Development Concepts: practice modern development methodologies and concepts, such as continuous integration/continuous deployment (CI/CD), containerization (Docker/Kubernetes), and cloud-native development.
• Collaboration: Collaborate closely with cross-functional teams, including product management, QA, and other stakeholders, to deliver high-quality software products.

What we’re looking for

• An energetic and sharp FS engineer taking her/his second step in the industry
• 2+/- years of industry experience, including 
  • Proficiency in Python Programming: Strong understanding of Python programming language, built-in libraries and capability of writing clean, efficient, and maintainable code. have the ability to apply basic software engineering principles and practices 
  • Basic Backend Development Skills: Applicants should possess foundational knowledge in backend server development, including how web servers operate, basic database interactions, and API development. Experience with Python frameworks such as FastAPI or Flask.
  • Experience with Software Quality Assurance (QA): experience with testing methodologies, including writing and executing test cases, debugging, and an understanding of automated testing frameworks.
  • Basic Data Science Skills: have a basic understanding of data science concepts and techniques. This includes familiarity with data manipulation and analysis using libraries like pandas and NumPy, understanding of basic machine learning concepts (Pandas, Numpy)
• Great communication skills, coachability and collaborative spirit

Advantage if you have

• Familiarity with cloud computing services (GCP, Azure, AWS)
• Familiarity with Docker and working with containers
• Working experience with SaaS products.