Senior Data Engineer

About Xenonstack

XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems , enabling enterprises to gain real-time and intelligent business insights .

We Deliver Innovation Through

• Agentic Systems for AI Agents → akira.ai
• Vision AI Platform → xenonstack.ai
• Inference AI Infrastructure for Agentic Systems → nexastack.ai

Our mission is to accelerate the world's transition to AI + Human Intelligence by building scalable, reliable, and intelligent data platforms .

THE OPPORTUNITY

We are seeking a Senior Data Engineer with strong expertise in data pipelines, analytics architectures, and cloud-native platforms . You'll design and optimize data infrastructure that powers LLM training, RAG pipelines, and AI-driven business intelligence .

Key Responsibilities

Skills & Qualifications

WHY SHOULD YOU JOIN US

WHY SHOULD YOU JOIN US

Architect data systems that power enterprise-grade AI agents .

Join one of the fastest-growing AI Foundries , trusted by Fortune 500 enterprises.

Progress into roles such as Principal Data Architect, Head of Data Platforms, or AI Systems Architect .

Work with enterprises worldwide on mission-critical data systems .

Your designs will directly influence AI adoption, enterprise intelligence, and business outcomes .

Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — give you autonomy to innovate and accountability to deliver.

Ensure data platforms are not just powerful, but trustworthy, explainable, and compliant .

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!

At XenonStack, we believe in shaping the future of intelligent systems . We foster a culture of cultivation built on bold, human-centric leadership principles, where deep work, simplicity, and adoption define everything we do.

Our Cultural Values

Our Product Philosophy

Be a part of our mission to accelerate the world's transition to AI + Human Intelligence — by architecting the trusted data platforms that power enterprise AI adoption .

Skills Required

Java, Scala, Spark, Data Warehousing, Kafka, Sql, Python