About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.

Our Guiding Principles

These principles define how we work at Incubyte. They are non-negotiable.

Relentless Pursuit of Quality with Pragmatism

We build high-quality systems without losing sight of delivery.

Extreme Ownership





We take responsibility end-to-end for decisions, execution, and outcomes.

Proactive Collaboration

We collaborate closely, challenge each other, and solve problems together.

Active Pursuit of Mastery

We continuously improve our craft and raise our bar.

Invite, Give, and Act on Feedback

We seek, give, and act on feedback to get better every day.

Ensuring Client Success

We act as trusted partners and focus on real outcomes, not just output.

Job Description

This is a remote position.

Experience Level

2+ years of experience in SQL, Python, and Snowflake (or equivalent cloud data warehouse), Azure Cloud services.

Role Overview

If you're a Data Craftsperson who takes pride in clean, well-tested data solutions and believes in the principles of Extreme Programming, we'd love to meet you. At Incubyte, we're a DevOps organization where developers own the entire release cycle — you'll get hands-on experience acros

📌 Data Craftsperson (India)
🏢 Incubyte
📍 India