
AI-Driven Infrastructure Engineer
1 day ago
The primary goal of this position is to guarantee the seamless operation of our infrastructure, encompassing 24/7 platform management, on-call support, and incident response.
This individual will be responsible for developing and refining AI agents that automate scaling, recovery, and diagnostics through control-plane patterns and event-driven logic.
Additionally, they will oversee multi-cloud infrastructure, including serverless, through declarative, automated workflows.
Collaboration with the Delivery Platform team to improve DevEx with intelligent internal tooling is also expected.
The role requires driving reliability, observability, and cost-efficiency across our global infrastructure.
Finally, they will enable engineers with self-service, secure, and scalable delivery pipelines.
Required Skills and Qualifications- A deep understanding of Linux fundamentals (processes, I/O, filesystems, networking, memory management, system internals).
- Deep experience with AWS (primary) and GCP (bonus), including cost optimizations, EKS, networking, S3, VPC peering, IAM, and related services.
- A strong understanding of Kubernetes internals, including networking, security, and cluster operations.
- Hands-on experience with GitOps workflows (e.g. ArgoCD) and Infrastructure as Code using Terraform.
- Proficient in Python, Go, or other languages — with a willingness to learn Go if not already familiar.
- Comfortable using AI development tools like Cursor, Claude, and coding with LLMs.
We are a customer-obsessed team with the ambition to change the world by connecting technology to various industries and making it more sustainable.
Everyone who joins our team must feel genuinely intrigued and motivated by our mission.
We expect a lot from ourselves and those we work with. We are a driven team with big goals, so we seek individuals who are genuinely passionate about their work and possess an entrepreneurial spirit.
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