Senior Platform Engineer | AI-Native Fintech

Job Description

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

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Cloud Infrastructure | Kubernetes | Terraform | Developer Platform

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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.

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

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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.

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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.

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The Opportunity

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

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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.

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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.

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

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What You'll Work On

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

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

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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.

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