Head of Data Infrastructure & Security

About the job

We 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 just

conceptual/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 with

storage and data pipeline design.

● Strong data security background - access control, encryption, breach prevention and

response.

● 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 security

trade-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, video

pipeline 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 or

high-growth environment.

Key Responsibilities

Multi-Modal Data Pipeline Architecture

● Design and own end-to-end pipelines for ingesting, storing, and processing large

volumes 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/performance

optimization.

● 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 architecture

for AI workloads.

● Make informed trade-offs on storage tiers, compute allocation, and cost as data volume

and processing needs grow.

● Ensure infrastructure scales smoothly as data volume, model complexity, and team

usage 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 protect

data from breaches, leaks, and unauthorized access.

● Build incident response processes specific to data security risks and lead response

when issues arise.

● Establish security and compliance standards appropriate for large-scale, sensitive

multi-modal data.

Leadership

● Build and lead a team spanning data infrastructure, pipeline engineering, and data

security as the function scales.

● Partner closely with AI/ML, product, and engineering teams to ensure data pipelines

meet 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