Job description
Job Description
About Us:
ClearRoute is an is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We work with technology leaders facing complex business challenges.
We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problemSolving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. We want to create a collaborative team to help build ClearRoute. This is an opportunity for you to build the organization from the ground up, use your voice to drive change and help transform organisations and problem domains.
Job Role
We are looking for a skilled Cloud/Platform Engineer with strong expertise inAzure Kubernetes Service (AKS)to design, build, and manage scalable, production-grade infrastructure. The ideal candidate will have hands-on experience withAKS provisioning, GPU-backed environments, and exposure to integrating AI/ML services within cloud-native architectures.
Key Requirements:
Design, provision, and manageproduction-grade AKS infrastructure
Build and maintain scalable, secure, and highly availableKubernetes environments on Azure
Implement and manageGPU-backed infrastructureto support AI/ML workloads
Integrate and manage AI services such asLiteLLM with Azure OpenAI and Google Vertex AI
Develop and maintaininfrastructure as code (IaC)using tools like Terraform or ARM templates
Collaborate with engineering teams to optimize application deployment, scalability, and performance
Set up and maintainCI/CD pipelinesfor automated deployments, ISTIO
Monitor system performance, troubleshoot issues, and ensure reliability and uptime
Implement best practices aroundsecurity, networking, and cost optimization
Required Skills & Experience
Strong hands-on experience withAzure Kubernetes Service (AKS)in production environments
Experience inprovisioning and managing AKS clusters
Solid understanding ofKubernetes architecture, networking, and scaling
Experience working withGPU-enabled infrastructurefor compute-intensive workloads
Exposure toAI/ML integrations, including tools like LiteLLM, Azure OpenAI, or Google Vertex AI
Proficiency inInfrastructure as Code(Terraform preferred)
Experience withCI/CD tools(Azure DevOps, GitHub Actions, Jenkins, etc.)
Strong knowledge ofDocker and containerization
Familiarity withmonitoring and logging tools
Good To Have:
Experience withmulti-cloud environments(Azure + GCP)
Knowledge ofMLOps practices
Exposure toservice mesh, ingress controllers, and API gateways
Understanding ofcost optimization strategies in cloud environments