The fortune 500 company and a bigger car safety systems manufacturer is planning to develop a Global AI Orchestrator an enterprise AI-driven Quality Assurance platform operating across cloud on-prem and edge environments. The solution integrates Azure services (Azure Entra ID Azure ML Studio Azure IoT Hub) with existing customer systems and edge devices to deliver secure scalable command-and-control capabilities.
The platform manages large fleets of Windows and Linux edge devices enabling provisioning software deployment updates decommissioning and inventory exposure via APIs. It supports OCI-compliant container orchestration on the edge enforces secure communications and is designed to scale across multiple customer edge use-cases. There are possibilities of business trips (Europe).
Key Responsibilities:
- Architect and maintain CI/CD pipelines across cloud on-prem and edge layers
- Design deployment frameworks for large fleets of edge devices
- Build and operate container orchestration platforms for OCI workloads
- Automate provisioning software rollout patching and decommissioning processes
- Manage Azure infrastructure (IoT Hub ML Studio Entra ID integration)
- Implement secure connectivity (zero-trust certificate-based auth outbound edge comms)
- Ensure observability across distributed systems (logs metrics traces)
- Support SSO enablement and identity federation
- Optimize release strategies rollback mechanisms and update resilience
- Collaborate with engineering teams to productionize backend and AI services
Establish platform reliability scalability and operational excellence standards - Requirements:
- 5 years in DevOps / Platform Engineering roles
- Strong experience with the Microsoft Azure cloud ecosystem
- Hands-on expertise with Docker and OCI containerization
- Experience with Kubernetes or lightweight edge orchestrators (K3s MicroK8s etc.)
- Proven experience supporting hybrid (cloud on-prem) infrastructures
- Expertise in Infrastructure as Code (Terraform Bicep ARM Ansible)
- Strong CI/CD experience (Azure DevOps GitHub Actions GitLab CI Jenkins)
- Deep understanding of networking and platform security (TLS PKI firewalls)
- Scripting/programming skills (Bash Python PowerShell)
- Experience supporting Linux-based production systems
Nice to have:
- Experience managing IoT or edge device fleets
- Familiarity with Azure IoT Hub and device provisioning services
- Exposure to MLOps environments and Azure ML pipelines
- Knowledge of SSO integrations (SAML OIDC Entra ID)
- Experience with air-gapped or restricted network deployments
- Background in Automotive Manufacturing or Industrial environments
- Experience implementing observability stacks (Prometheus Grafana ELK OpenTelemetry)
- Understanding of secure software supply chain practices (SBOM image signing)
We offer*:
- Flexible working format - remote office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Required Experience:
Senior IC
The fortune 500 company and a bigger car safety systems manufacturer is planning to develop a Global AI Orchestrator an enterprise AI-driven Quality Assurance platform operating across cloud on-prem and edge environments. The solution integrates Azure services (Azure Entra ID Azure ML Studio Azure ...
The fortune 500 company and a bigger car safety systems manufacturer is planning to develop a Global AI Orchestrator an enterprise AI-driven Quality Assurance platform operating across cloud on-prem and edge environments. The solution integrates Azure services (Azure Entra ID Azure ML Studio Azure IoT Hub) with existing customer systems and edge devices to deliver secure scalable command-and-control capabilities.
The platform manages large fleets of Windows and Linux edge devices enabling provisioning software deployment updates decommissioning and inventory exposure via APIs. It supports OCI-compliant container orchestration on the edge enforces secure communications and is designed to scale across multiple customer edge use-cases. There are possibilities of business trips (Europe).
Key Responsibilities:
- Architect and maintain CI/CD pipelines across cloud on-prem and edge layers
- Design deployment frameworks for large fleets of edge devices
- Build and operate container orchestration platforms for OCI workloads
- Automate provisioning software rollout patching and decommissioning processes
- Manage Azure infrastructure (IoT Hub ML Studio Entra ID integration)
- Implement secure connectivity (zero-trust certificate-based auth outbound edge comms)
- Ensure observability across distributed systems (logs metrics traces)
- Support SSO enablement and identity federation
- Optimize release strategies rollback mechanisms and update resilience
- Collaborate with engineering teams to productionize backend and AI services
Establish platform reliability scalability and operational excellence standards - Requirements:
- 5 years in DevOps / Platform Engineering roles
- Strong experience with the Microsoft Azure cloud ecosystem
- Hands-on expertise with Docker and OCI containerization
- Experience with Kubernetes or lightweight edge orchestrators (K3s MicroK8s etc.)
- Proven experience supporting hybrid (cloud on-prem) infrastructures
- Expertise in Infrastructure as Code (Terraform Bicep ARM Ansible)
- Strong CI/CD experience (Azure DevOps GitHub Actions GitLab CI Jenkins)
- Deep understanding of networking and platform security (TLS PKI firewalls)
- Scripting/programming skills (Bash Python PowerShell)
- Experience supporting Linux-based production systems
Nice to have:
- Experience managing IoT or edge device fleets
- Familiarity with Azure IoT Hub and device provisioning services
- Exposure to MLOps environments and Azure ML pipelines
- Knowledge of SSO integrations (SAML OIDC Entra ID)
- Experience with air-gapped or restricted network deployments
- Background in Automotive Manufacturing or Industrial environments
- Experience implementing observability stacks (Prometheus Grafana ELK OpenTelemetry)
- Understanding of secure software supply chain practices (SBOM image signing)
We offer*:
- Flexible working format - remote office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Required Experience:
Senior IC
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