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About the role
You will build and own the core platform infrastructure, including Kubernetes, Kafka, and database management. Additionally, you will collaborate with engineering teams to define infrastructure architecture, security standards, and reliability across AWS and Azure.
What they look for
Requirements
Candidates must have 5+ years of experience in DevOps, Platform, or SRE roles with a focus on building infrastructure from scratch. Proficiency in Kubernetes, Kafka, and Infrastructure as Code tools like Terraform is required.
Full description
About the Role
We’re looking for a DevOps / Platform Engineer to own the infrastructure our customers run on. For us, that’s not a support function. It’s the product.
You’ll shape how our platform is built from the ground up: the architecture, the tooling, and the standards the whole engineering team ships on. You’ll work closely with the entire Engineering team on the systems behind our data pipelines and agentic workloads.
It’s a high-ownership seat with real influence. Your decisions will define the platform, not just maintain it.
What You'll Do
- Build and own our core platform: Kubernetes, Kafka, databases, observability, and the CI/CD and workflow tooling the team ships on
- Set the infrastructure architecture across AWS and Azure and own reliability, security boundaries, and cost
- Work closely with Backend and Data Engineering on the infrastructure their pipelines and agentic workloads need
What We're Looking For
- 5+ years of experience in a DevOps, Platform, or SRE role, including building infrastructure from scratch, not only operating existing systems
- Kubernetes (EKS) and Kafka in production
- Strong Infrastructure as Code experience (Terraform / OpenTofu)
- Strong security and tenancy instincts: customer data isolation, least-privilege access, blast-radius thinking
- Experience with Argo Workflows - advantage
- Experience with data-pipeline infrastructure (Spark or a similar batch / stream engine) - advantage
- On-prem delivery experience - advantage
Our Stack
AWS, Azure, Kubernetes (EKS), Kafka, PostgreSQL, Terraform / OpenTofu, Argo Workflows, with an AI-native workflow throughout.
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