We are recruiting for a Senior Platform Engineer to help shape our infrastructure, improve system reliability, accelerate product development, and improve release cadence. This is a practical, high-impact role for someone who enjoys a varied workload across architecture and system design, infrastructure development, deployment and CI/CD, security, and developer experience.
Requirements
- Provision and manage cloud infrastructure reproducibly using infrastructure as code, likely via Terraform.
- Design and maintain CI/CD workflows, including Git-based workflows and GitHub Actions.
- Implement and manage observability, monitoring, and alerting using tools like Prometheus, Grafana, or Datadog.
- Shape vulnerability scanning, dependency management, and system hardening.
- Where required, administer Linux systems, including shell scripting, troubleshooting etc.
- In-depth experience with one or more major cloud providers, such as AWS, GCP, or Azure.
- Strong understanding of cloud architecture, networking, and security, with experience designing and operating production systems.
- Experience deploying and operating managed relational, non-relational, and vector databases, such as PostgreSQL or MySQL via Amazon RDS, DynamoDB, MongoDB, Weaviate, or Milvus.
- Experience with modern authentication and identity tooling, including managed platforms such as Auth0, Clerk, and Zitadel.
- Familiarity with modern managed platform services such as Vercel, Neon, and related developer infrastructure tools.
- A strong operational mindset, with experience improving reliability, security, monitoring, deployment workflows, and incident response.
- Good judgment about when to use managed services and when to bring more infrastructure under direct control within a major cloud provider, particularly in the context of a fast-moving startup.
- Strong experience with infrastructure as code tooling, and a clear sense of how to keep infrastructure maintainable, consistent, and well-structured across a growing product portfolio.
- Clear communication and documentation skills, and a pragmatic approach to deciding when to improve or extend existing systems versus undertaking a ground-up rebuild.
Benefits
- Attractive Compensation
- Growth Path
- Strategic Ownership of High-Impact AI Initiatives
- Access to World-Class Infrastructure
- A Culture of Deep Tech and Real-World Application
- Flexibility with remote first work enviroment
