Build the platforms enterprises run on.
We are an engineering-driven company that prioritizes shipping production code over PowerPoint slides. If you take pride in distributed systems, lakehouse architectures, and production AI, you belong here.
Why Karsient
What It Means to Build Here
A culture designed by engineers, for engineers who want autonomy, modern tooling, and meaningful technical ownership.
Direct Client Ownership
Collaborate directly with enterprise CTOs and architects. No bureaucratic layers between you and production decisions.
Modern Tech Stacks Only
We write modern Spark, Databricks, Python, Delta Lake, LangChain, and dbt. We don't maintain stagnant legacy code without modernizing it.
Continuous Learning
Dedicated annual budget for Databricks certifications, cloud architecture credentials, research papers, and technical conferences.
Remote & Hybrid Flexibility
Work remotely across India or collaborate in person at our Bengaluru, Chennai, or Madurai engineering centers.
Open Roles
Current Engineering Positions
Filter by practice area, technology stack, or location to find your next engineering challenge.
Senior Data Platform Engineer
Design and implement high-concurrency batch and streaming Lakehouse pipelines on Databricks with Unity Catalog governance.
Databricks Solutions Architect
Architect target-state lakehouse landing zones, migrate legacy SQL/ETL estates, and optimize DBU compute workloads.
Machine Learning & Generative AI Engineer
Build enterprise RAG pipelines, fine-tune models, and deploy multi-step AI agents with production observability guardrails.
Cloud Infrastructure & FinOps Consultant
Assess enterprise cloud infrastructure, implement secure multi-account landing zones, and engineer compute cost optimizations.
Enterprise BI & Semantic Model Architect
Build governed semantic models on DirectLake and design executive dashboard suites across enterprise business domains.
Don't see your exact role listed?
We are always looking for exceptional data platform architects, distributed systems programmers, and machine learning researchers.