WD is building the infrastructure behind the AI-driven data economy.
As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.
We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.
We’re looking for people who want to build, solve, and operate at that level.
Join us and let’s shape the future of data.
Job Description
Architect end-to-end solutions, lead teams by example and work with cross functional stakeholders to productise the solutions.
Design, build and support platform for customer analytical needs using Java and/or Python as programming language
Design, build and support batch processing and streaming data pipelines
Design, develop,
and support AI-enabled assistants, chatbots, and automation solutions
Develop Python-based automation services, REST APIs, and backend integrations to connect AI/automation solutions with enterprise systems, including MCP-based tool integrations.
Deploy and support applications on Kubernetes/Edge platforms, using GitOps and CI/CD pipelines
Work with cross functional stakeholders to understand their requirements
Guide team members overcome technical challenges
Qualifications
Required Qualifications
Bachelor’s or Master’s Degree in Computer Science or Software Engineering with a minimum of
8+ years
of experience.
Proficient in computer science fundamentals, algorithms & data structures
Proficient in programming languages like Java And/or Python
Experience with Database Technologies (SQL/NoSQL) & Big Data Technologies (Hadoop, Hive)
Familiarity with agentic AI concepts such as tool usage, multi-step
📌 Principal Engineer, Data Analytics Engineering Bengaluru
🏢 WD
📍 Bengaluru