Company Overview
Model ML is the AI workflow builder transforming how major financial institutions produce and validate client‑ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors, bringing total funding to $90 million.
Job Description
We are seeking an experienced Platform 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: 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.
- Databases & Storage: Experience with provisioning, scaling, and managing production‑grade databases (PostgreSQL, MySQL, NoSQL) and blob storage.
- Scripting & Automation: Strong skills in Python or Bash for automation and tooling.
Experience
- 4–7 years of relevant experience, ideally including startup or high growth/high load environments.
- Proven track record of owning infrastructure end‑to‑end — from architecture through production support.
- Experience implementing reliability, security, and compliance measures ahead of scale‑up or audit readiness.
- History of driving cost efficiency while enabling growth.
- Exposure to SOC 2, ISO 27001, or GDPR compliance processes.
What We Offer
- You will be reporting directly to the founders, who have two successful venture‑backed exits under their belt.
- Competitive salary + equity.
- Supportive and innovative work environment.
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