Data modernization, migration and enterprise AI consultancy
Kanerika is an Austin-based data and AI services firm whose stack centers on Microsoft Fabric, Databricks, Snowflake and Power BI across Azure, AWS and GCP, which points to multi-cloud migration delivery work. Hiring is accelerating and runs data-first out of India, with QA tooling like Playwright, Cypress, Selenium and REST Assured suggesting dedicated testing of pipelines and BI reports.
Kanerika, founded in 2015 and headquartered in Austin, Texas, provides data modernization, migration, analytics and AI services to large enterprises. Its work spans moving legacy data stacks onto modern cloud platforms, building custom AI agents and machine learning solutions, and delivering data governance, integration and automation services. The company is privately held with 201–500 employees and operates delivery centers in the US, India and Singapore. It maintains its own portfolio of AI agents for migration, analytics, document intelligence and compliance review.
Kanerika works with Python, Apache Spark, Scala, Databricks, Delta Lake, MLflow, Snowflake, Microsoft Fabric and Power BI, on Azure, AWS and GCP, with Jira, Zephyr, Playwright and Cypress for delivery and testing.
Kanerika is headquartered in Austin, Texas, and runs delivery centers across the US, India and Singapore.
Yes, hiring is accelerating, concentrated in India and led by data roles, with additional openings in engineering, operations and product at mid to lead seniority.
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Kanerika Inc's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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