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Head of Data Infrastructure & Security

Zyoin Group · Bengaluru, Karnataka, India

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About the jobWe are hiring for a Head of Data Infrastructure & Security role with a fast-growing AI company building the intelligence layer for physical-world AI. The company is working at the intersection of robotics perception, embodied AI, egocentric video understanding, and voice-driven interaction to develop AI systems that can perceive, reason, and act in real-world environments.💡 Why Join?Work on challenging robotics and AI problems involving 3D perception, computer vision, multimodal learning, sensor data, and embodied intelligence. You'll collaborate with a strong research and engineering team to develop systems that operate in complex, real-world environments, work on cutting-edge research, and contribute directly to building the next generation of intelligent physical-world systems.

Roles and Responsibilities

● Proven, hands-on experience building AI-native data pipelines at scale - not justconceptual/theoretical exposure.● Strong understanding of video storage, CDN architecture, and egress optimization.● Experience with data labelling and processing pipelines for large datasets.● Experience architecting large-scale data ingestion from ground/edge to cloud.● Solid understanding of compute infrastructure (CPU/GPU) and how it interacts withstorage and data pipeline design.● Strong data security background - access control, encryption, breach prevention andresponse.● Experience with major cloud platforms (AWS, GCP, or Azure) at scale.● Ability to operate both strategically (roadmap, architecture decisions) and hands-on(design, troubleshooting).● Strong communication skills - able to translate technical infrastructure and securitytrade-offs for leadership.● Cloud Storage & CDN - AWS S3/GCS/Azure Blob CloudFront/Cloudflare/Akamai/Fastly,S3 lifecycle & storage tiering● Video Processing & Transcoding - FFmpeg, AWS MediaConvert/Elemental, videopipeline orchestration at scale.Nice to Have● Experience in a company processing large-scale video or multi-modal AI training data.● Experience with MLOps or data pipeline tooling for AI/ML workflows.● Relevant security certifications (CISSP, OSCP, or equivalent).● Experience building or scaling a data infrastructure/security function in a startup orhigh-growth environment.Key ResponsibilitiesMulti-Modal Data Pipeline Architecture● Design and own end-to-end pipelines for ingesting, storing, and processing largevolumes of multi-modal data (video, image, audio, and other unstructured formats).● Architect systems for large-scale data upload from ground/edge sources into the cloud,optimizing for reliability, speed, and cost.● Own video storage architecture, CDN strategy, and egress cost/performanceoptimization.● Build and scale data labelling and processing pipelines that feed AI/ML workflows.Compute & Storage Infrastructure● Design infrastructure that balances CPU/GPU compute needs with storage architecturefor AI workloads.● Make informed trade-offs on storage tiers, compute allocation, and cost as data volumeand processing needs grow.● Ensure infrastructure scales smoothly as data volume, model complexity, and teamusage increase.Data Security● Own the security of data across its lifecycle - in transit (ground-to-cloud upload, egress)and at rest (storage, labelling pipelines).● Design and enforce access controls, encryption standards, and monitoring to protectdata from breaches, leaks, and unauthorized access.● Build incident response processes specific to data security risks and lead responsewhen issues arise.● Establish security and compliance standards appropriate for large-scale, sensitivemulti-modal data.Leadership● Build and lead a team spanning data infrastructure, pipeline engineering, and datasecurity as the function scales.● Partner closely with AI/ML, product, and engineering teams to ensure data pipelinesmeet their evolving needs.● Report to leadership on infrastructure health, data security posture, and risk in clear,actionable terms.● Balance engineering velocity with security rigor and cost efficiency.

Location: Bangalore Onsite