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.
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.
Responsibilities
Architect, implement, and maintain cloud infrastructure to support rapidproduct 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 optimizationwithout 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 anincredible 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 tracingframeworks.
Security: Familiarity with best practices, secrets management, andsecurity scanning tools.
Networking: Solid understanding of VPCs, private networking, DNS, loadbalancers, VPNs, and firewalls.
Databases & Storage: Experience with provisioning, scaling, andmanaging production-grade databases (PostgreSQL, MySQL, NoSQL) and blob storage.
Scripting & Automation: Strong skills in Python or Bash for automationand tooling.
Experience
4–7 years of relevant experience, ideally including startup or highgrowth/high load environments .
Proven track record of owning infrastructure end-to-end — fromarchitecture 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 successfulventure-backed exits under their belt.
- Competitive salary + equity
- Supportive and innovative work environment
About the interview
Our Process: We're very conscious of everyone's time, so we want to make the process as efficient as possible.
- Call 1: 30-minute intro call with our Talent Acquisition team
- Call 2: 30-minute technical screen
- Call 4: Onsite interview with Engineering Leadership
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