Infrastructure / DevOps Lead

Description

Brahma AI operates at the intersection of enterprise Media Asset Management (MAM) and cutting-edge generative media.

We build and scale industry-leading generative AI models, including hyper-realistic digital humans (ATMAN) and multilingual voice synthesis (VAANI), for world-class enterprise clients in entertainment, sports, healthcare, and retail.

Role Overview

We are looking for a Lead Infrastructure / Dev Ops Engineer to lead our core AI Platform & Infrastructure team.

Reporting directly to the VP of Engineering, you will guide a team of 7 engineers responsible for powering our high-performance GPU infrastructure, multi-cloud setup (with GCP as our primary provider), ML model training pipelines, and containerised orchestration environments.

This role balances technical leadership, team management, cloud resource optimisation, and high-level architectural oversight.

You will ensure our research and engineering teams have the fast, scalable, and reliable compute environments necessary to train and deploy state-of-the-art AI models.

Key Responsibilities

• 1. People, Team & Process Leadership (50%)
• Team Management: Lead, mentor, and grow a team of 7 Dev Ops and Infrastructure engineers through regular 1:1s, performance reviews, and career pathing.
• Sprint & Operational Delivery: Drive agile delivery, sprint planning, and backlog prioritisation to align infrastructure deliverables with AI research and product roadmaps.
• Engineering Standards: Establish best practices for Reliability Engineering, Infrastructure-as-Code (Ia C), continuous integration, and incident post-mortems.
• Cross-Functional Alignment: Act as the primary technical bridge between infrastructure, ML researchers, AI application developers, and the VP of Engineering.
• 2. Resource Management & Fin Ops (25%)
• GPU & Multi-Cloud

Management: Manage high-density GPU clusters across a multi-cloud ecosystem (primarily GCP) optimised for large custom AI model training and real-time inference workflows.

• Fin Ops & Cost Control: Oversee infrastructure consumption, track cloud/hardware costs, negotiate vendor terms, and optimise GPU utilisation to maintain cost efficiency.
• High-Performance Storage: Oversee high-throughput storage and caching solutions engineered for ultra-fast data retrieval and low-latency access.
• 3. Architecture, Engineering & Compliance (25%)
• Technical Escalation & Hands-On Oversight: Serve as the senior technical escalation point for complex infrastructure incidents and architecture decisions.
• Automation & Ia C: Standardise platform deployments using Infrastructure as Code (e. g., Terraform/Open Tofu) and modern container orchestration (Kubernetes).
• Security & Compliance

Collaboration: Partner with security stakeholders to ensure our AI training environments meet industry security standards (e. g., MPA Best Practices, ISO 27001, SOC 2).

• Must Haves
• Leadership Experience: Proven track record leading or managing a team of 5+ infrastructure, platform, or Dev Ops engineers.
• AI/GPU Infrastructure: Hands-on experience architecting and managing GPU-intensive workloads (NVIDIA clusters, cloud AI accelerators) for compute-heavy applications.
• Multi-Cloud & Orchestration: Expertise with Kubernetes, Docker, Terraform (or Open Tofu), and multi-cloud environments (with strong hands-on GCP experience).
• High-Performance

Storage: Demonstrated experience designing, optimising, and maintaining high-performance storage architectures and caching layers for demanding compute workloads.

• Cloud & Resource Management: Strong experience with cloud cost governance (Fin Ops), capacity planning, and vendor interaction.
• Communication: Exceptional stakeholder management skills with the ability to bridge business requirements and deep technical infrastructure details.
• Nice to Have
• Experience managing physical data centres, co-location facilities, or hybrid infrastructure environments.
• Working knowledge of ML orchestration frameworks (e. g., Ray, Slurm, Kubeflow).
• Background in media pipelines, VFX tooling, or media compliance standards (MPA, ISO 27001).
• Prior experience working in a hybrid startup/scale-up environment.

About BRAHMA AI

BRAHMA AI is the next generation of enterprise media technology formed through the integration of Prime Focus Technologies and Metaphysic.

By combining CLEAR®, CLEAR® AI, ATMAN, and VAANI into one ecosystem, BRAHMA AI enables enterprises to manage, create, and distribute content with intelligence, security, and efficiency.

Proven, scalable, and enterprise-tested, BRAHMA AI is helping global organizations accelerate growth, efficiency, and creative impact in the AI-powered era.