DevOps & Cloud Platform Engineer

About the role

We are looking for a DevOps & Cloud Platform Engineer to build and operate the cloud platform that runs our AI agents for cellular networks. You will own the infrastructure, pipelines, and Kubernetes environments that move prototypes into production under live network traffic, collaborating with ML researchers, application engineers, and wireless engineers.

Key responsibilities

• Provision and manage cloud infrastructure (Kubernetes, networking, identity) as code using Terraform, Bicep, and ARM templates.
• Design, implement and maintain CI/CD and GitOps pipelines (Jenkins, GitHub Actions, GitLab CI, Argo CD) for safe deployments under live traffic.
• Implement observability and DevSecOps practices with Prometheus, Grafana, Datadog, secrets management and security scanning.
• Handle incident response, root‑cause analysis and continuous improvement of reliability and security posture.
• Enforce Zero Trust security, least‑privilege access, segmentation and hybrid/VPN connectivity.

Required profile

• 4+ years of experience operating production cloud infrastructure.
• Deep hands‑on Kubernetes experience, including Helm, autoscaling, resource management and debugging.
• Fluency with Infrastructure as Code (Terraform, Bicep, ARM, Ansible) and CI/CD/GitOps pipelines.
• Strong DevSecOps mindset with experience in SAST, DAST, SCA scanning, policy‑driven security gates and secrets management.
• Pragmatic problem‑ownership across disciplines; Azure experience and telecom background are a plus.

Required skills

• Terraform
• Bicep
• ARM templates
• Ansible
• Kubernetes
• Helm
• Jenkins
• GitHub Actions
• GitLab CI
• Argo CD
• Prometheus
• Grafana
• Datadog
• Vault
• SAST / DAST / SCA scanning
• RBAC / Zero Trust security
• Azure (optional)

What we offer

• Direct access to founders, partners and researchers with high autonomy.
• Opportunity to own high‑impact infrastructure supporting AI systems at massive scale.
• Collaboration with tier‑1 mobile operators worldwide.