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

Work arrangement
No