21 час назад
Full Stack Developer (Python, React)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full Stack Developer (Python, React) (Data Engineering/AI): Building end-to-end full stack applications, data-heavy backend systems, ETL/ELT pipelines, and responsive data interfaces for AI transformation accelerators and MVPs with an accent on scalable data architecture, cloud platforms, and high-performance user experiences. Focus on designing data models and warehouses, deploying microservices on GCP, integrating AI/ML use cases, and delivering reliable software through CI/CD and automated testing.
Location: Bengaluru or Pune, India
Company
is an end-to-end AI transformation partner helping enterprises turn complex data and business challenges into measurable outcomes.
What you will do
- Design, develop, and maintain end-to-end full stack applications with scalable backend systems and responsive frontend interfaces.
- Build data-heavy backend systems, including data engineering, data warehousing, data modeling, and ETL/ELT pipelines using Python.
- Create high-performance React interfaces with rich data visualizations and seamless user interactions.
- Use BigQuery, Snowflake, GCP, Cloud Run, Cloud Functions, and related services to process data at scale and deploy scalable microservices.
- Translate business requirements into technical solutions in collaboration with AI, data, cloud, and product specialists.
- Prototype AI/ML and generative AI use cases while applying CI/CD, automated testing, TDD, and engineering best practices.
Requirements
- 3–8 years of full stack development experience with strong Python backend and React frontend expertise.
- Hands-on experience with data engineering, data warehousing, large-scale datasets, ETL/ELT pipelines, data modeling, and data architecture.
- Experience with cloud platforms, preferably GCP; AWS or Azure experience is also acceptable.
- Working knowledge of REST APIs, microservices architecture, backend system design, Git, CI/CD, and Agile/Scrum.
- Strong problem-solving, analytical, communication, collaboration, adaptability, and learning skills.
- Visa sponsorship or visa transfer is not available.
Nice to have
- Familiarity with Big Data ecosystems and distributed data processing frameworks.
- Exposure to or strong interest in AI/ML, generative AI, LLMs, and prompt engineering.
- Experience with diverse technologies or domains and a product-oriented mindset.
Culture & Benefits
- Innovation-focused work developing prototypes, accelerators, and minimum viable products for enterprise clients.
- Cross-functional collaboration across AI, data, cloud, and product disciplines.
- Culture centered on innovation, professional growth, curiosity, adaptability, and shared achievement.
- Human-led hiring decisions supported by AI-assisted recruitment and interview transcription tools.
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