Infrastructure/ Security/ DevOps

About the role

Company Overview:

Model ML is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. You will work alongside two well-known founders who successfully sold their last two YC-backed companies. Model ML, has already raised double figures from Y Combinator and top-tier venture firms. With strong product-market fit and live production deployments at some of the world's largest and most prestigious institutions, Model ML's team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise.

Soon, all your digital information will be stored in one place. Everything you do, whether that be sending emails, building presentations, having meetings, pulling data, or doing research, will all be underpinned by an AI model that belongs to you. Using Model ML, you'll simply talk to your laptop or phone to get things done.

Job Description:

We are seeking an experienced Senior Infrastructure Engineer to lead the design, implementation, and maintenance of our cloud systems as we scale. This role is ideal for someone who thrives on building robust, secure, and cost-efficient infrastructure that empowers engineering teams to deliver quickly without sacrificing reliability or compliance.

You will be the driving force behind our DevOps, observability, and compliance readiness, ensuring our systems are audit-ready, highly available, and optimized for both performance and cost.

Key Responsibilities

- Architect, implement, and maintain cloud infrastructure to support rapid product growth.

- Prepare infrastructure for SOC 2 / ISO 27001 audits, aligning with customer expectations.

- Build and maintain CI/CD pipelines for backend, frontend, and data services to enable rapid, reliable releases.

- Drive product-wide systems for logging, metrics, tracing, alerting and on-call processes.

- Monitor and control cloud costs, identifying opportunities for optimization without sacrificing performance.

- Act as the internal advocate for operational excellence.

What you can expect:

- It won't be easy; in fact, it will be very hard.

- BUT, it will be a lot of fun.

- You need to be comfortable in being uncomfortable; timelines will change, priorities will most likely shift

- Be prepared to sacrifice your work-life balance in exchange for joining an incredible journey and learning a lot along the way.

Requirements:

- Technical:

- Technical stack: Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, Github actions.

- Observability: Experience implementing logging, metrics, and tracing frameworks.

- Security: Familiarity with best practices, secrets management, and security scanning tools.

- Networking: Solid understanding of VPCs, private networking, DNS, load balancers, VPNs, and firewalls.