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Salary
$15k – $21k per year (gross)
Location
In office (Bengaluru, Hyderabad, Pune, Chennai)
Seniority
Senior · 7+ years exp
Employment
Full-Time

First seen by Alion on Aug 26, 2026.

Overview
Company
Impact
Profile match
Team Geek Solutions (TGS) is a global technology partner specializing in AI and Generative AI solutions, custom software development, and offshore/onshore talent optimization.

Senior Software Engineer (Full Stack)

Location: Bangalore / Chennai / Pune / Hyderabad

Experience: 7+ Years

Notice Period: Immediate Joiner


 

Job Summary:

We are looking for a Senior Software Engineer with strong Full Stack development expertise in Streamlit, Python FastAPI, Databricks, and Databricks Apps. The ideal candidate will build data-driven web applications and deploy scalable solutions within the Databricks ecosystem.

 

Key Responsibilities:

  • Design and develop interactive applications using Streamlit.
  • Build scalable backend services and APIs using Python FastAPI.
  • Develop and optimize data solutions on Databricks.
  • Deploy and manage applications using Databricks Apps (Mandatory).
  • Integrate front-end applications with backend APIs and data services.
  • Collaborate with data engineers, data scientists, and business teams.
  • Ensure application performance, reliability, and security.
  • Participate in code reviews, testing, and release management activities.

 

Required Skills:

  • 7+ years of software development experience.
  • Strong experience with Python programming.
  • Hands-on expertise in FastAPI.
  • Experience developing applications using Streamlit.
  • Strong Databricks development experience.
  • Mandatory experience with Databricks Apps deployment and management.
  • Experience with REST APIs and microservices architecture.
  • Familiarity with Git, CI/CD pipelines, and Agile methodologies.

 

Preferred Skills:

  • Experience with Azure Databricks.
  • Knowledge of AI/ML application development.
  • Understanding of cloud-native architectures.
  • Front End: Streamlit
  • Middleware: Python FastAPI
  • Backend: Databricks
  • Hosting Environment: Databricks Apps (Mandatory)


Skills

Python, FastAPI, databricks, Databricks app, Azure Databricks, Windows Azure, Streamlit

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