AI Platform & Infrastructure Engineer, Deployed
At a glance
Mid-level ML Platform & Ops role at Brain Co. Abu Dhabi · full-time.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and expand Kubernetes and Terraform infrastructure across customer environments
- Set engineering rules for networking, security, CI/CD and deployments spanning multiple regions
- Create observability systems with metrics, logs, traces, dashboards and SLOs
- Find performance bottlenecks in distributed systems and AI workloads, then improve them
- Support inference, data pipelines and backend services while keeping systems dependable as demand changes
What you bring
- At least five years building large-scale infrastructure or backend systems
- You know Kubernetes, Terraform, cloud networking, orchestration and observability tools
- You bring experience with distributed systems, performance tuning and incident response
Who this fits
This mid-level role suits an engineer who can work with customers and teams, set technical standards and operate with autonomy. It is based in Abu Dhabi and hybrid.
From the employer
Our Mission
Rebuild how the world works, to make institutions work better for the people they serve.
About Brain Co.
Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
Why Now
Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.
What You’ll Work On:
Design and scale Kubernetes- and Terraform-based infrastructure across customer environments.
Define standards for networking, security, CI/CD, and multi-region deployments.
Build and maintain metrics, logging, tracing, dashboards, and SLOs.
Diagnose and improve performance across distributed systems and AI workloads.
Support high-performance inference, data pipelines, and large-scale backend services.
Ensure systems scale reliably under fast-growing and unpredictable workloads.
Partner with technical leaders on architecture and mentor engineers.
You Might Be a Great Fit If You…
Have 5+ years building large-scale backend or infra systems.
Know Kubernetes, Terraform, cloud networking, orchestration, and observability tools.
Bring strong distributed systems, performance, and incident-response experience
Work well with customers and teams to deliver reliable solutions.
Thrive in high-agency environments and set engineering standards.
Enjoy ambiguity, autonomy, and solving tough infra problems.
Why Join Us
Ship quickly, iterate constantly and see your work deployed at global scale
Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
Accelerate your career with ownership based on impact, not tenure
Earn competitive compensation + meaningful equity in a high-growth company
Thrive in a culture built on speed, curiosity, and impact
Benefits
Competitive salary plus equity
Daily lunches
Commuter benefits
Unlimited PTO