Junior Full Stack Engineer

Noogata is reimagining the future of eCommerce

Noogata is pioneering the future of eCommerce- we help our customers protect and grow their Amazon market share with a dedicated AI assistant for sales, product content and advertising.

Our innovation and success is powered by professionals like you ☝️ 

Noogata's eCommerce analytics platform empowers growing brands with competitive intelligence to outperform competitors on the digital shelf. We monitor and streamline competitive data for thousands of products and make it simple to visualize, measure and take action with competitive insights. We are building a company where data, intelligence, and innovation come together to forge a powerful product our customers love.

Learn more at Noogata.com

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.
  
  

• 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
  

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