Senior Platform Engineer | AI-Native Fintech

Job Description

Senior Platform Engineer | AI-Native Fintech | ~$100M Raised

Cloud Infrastructure | Kubernetes | Terraform | Developer Platform

We're partnering with one of the fastest-growing AI-native fintech companies to hire a Senior Platform Engineer as they continue scaling their engineering organization and infrastructure.

The company has raised nearly $100M from some of the most respected investors in technology, including Andreessen Horowitz, Insight Partners, and Microsoft.

Their AI platform is already being used by more than 150 companies, including Fortune 50 and Fortune 500 enterprises, and has processed over $3 billion in transactions.

With significant enterprise traction and continued investment in engineering, they're looking for a strong infrastructure engineer who enjoys building scalable systems, solving complex technical challenges, and giving developers the tools to move faster.

The Opportunity

This is a hands-on platform engineering role with significant ownership over the infrastructure supporting a rapidly growing AI-native business.

You'll work closely with software engineers to build and improve the systems that power production applications, streamline deployments, and ensure the platform can scale as customer adoption accelerates.

The team is looking for someone who thinks beyond traditional DevOps — an engineer who enjoys writing code, building internal platforms, automating infrastructure, and solving problems at the intersection of software engineering and distributed systems.

The goal is to build infrastructure that allows engineering teams to ship faster, operate reliably, and scale without unnecessary complexity.

What You'll Work On

• Cloud Infrastructure: Design, build, and scale cloud environments supporting production applications and AI-driven workloads.
• Kubernetes & Containers: Build and improve container orchestration, deployment infrastructure, and workload management.
• Infrastructure as Code: Develop and maintain scalable infrastructure using Terraform and modern automation practices.
• Developer Platform: Build internal tooling, self-service infrastructure, and deployment capabilities that improve developer productivity.
• CI/CD & Automation: Improve build and deployment pipelines, automate repetitive processes, and streamline software delivery.
• Reliability & Observability: Improve monitoring, logging, performance, and incident response across production systems.
• Scalability & Architecture: Partner with backend engineers to solve infrastructure challenges involving availability, performance, networking, and distributed systems.
• AI Infrastructure: Support the infrastructure and operational requirements of an increasingly AI-driven product environment.

What We're Looking For

• Strong background in Platform Engineering, Infrastructure Engineering, SRE, or software engineering with significant infrastructure ownership.
• Deep hands-on experience with AWS or another major cloud provider.
• Production experience with Kubernetes, Docker, and containerized applications.
• Strong Terraform and infrastructure-as-code experience.
• Software development experience with Python, Go, or another modern programming language.
• Experience building CI/CD pipelines and improving developer workflows.
• Strong understanding of networking, Linux, distributed systems, and production reliability.
• Someone comfortable owning complex infrastructure projects from design through deployment and production support.
• Experience in a high-growth startup or engineering-driven product organization is a plus.

Why This Is Interesting

Join a rapidly scaling, AI-native fintech with nearly $100M in funding, significant enterprise traction, and a growing engineering organization. You'll have real ownership over the infrastructure behind a production AI platform, working on challenging engineering problems with the opportunity to influence architecture, automation, and how the company scales.

We're looking for an engineer who enjoys building infrastructure, writing code, and taking ownership of complex systems rather than simply maintaining existing environments.