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21 час назад

Full Stack Developer (Python, React)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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