Jobs / Capgemini
Automation & Platform Engineer
Capgemini · London, ENG, United Kingdom
London, ENG, United KingdomHybrid
Remuneration
Not specified
Location
London, ENG, United Kingdom
Visa sponsorship
Not specified
Job summary
The Automation & Platform Engineer will build the execution layer for autonomous network operations, focusing on automation workflows and orchestration pipelines.
Benefits
Exposure to top global companiesOpen access to digital learning platformsActive employee networks promoting diversity, equity and inclusion
Qualifications
- Experience in network automation, platform engineering, DevOps, cloud engineering, or telecom automation
- Strong hands-on experience with Ansible, Terraform, Python, REST APIs, and automation pipelines
- Experience with Kubernetes, Docker, microservices, CI/CD, and infrastructure-as-code
- Experience integrating with network controllers, OSS platforms, cloud platforms, and vendor APIs
- Understanding of telecom network domains such as RAN, Core, Transport, IP/MPLS, SD-WAN, Cloud, or OSS
- Experience developing intent-to-configuration or policy-driven automation workflows
- Experience with API management, service orchestration, and event-driven automation
- Understanding of TMF Open APIs and telecom automation frameworks
- Ability to implement safe automation with rollback, validation, audit, RBAC, and policy controls
Responsibilities
- Design and implement automation workflows for autonomous network use cases
- Build intent-to-configuration pipelines that translate validated intents into network actions
- Develop reusable automation playbooks, templates, modules, and orchestration workflows
- Implement automation using tools such as Ansible, Terraform, Python, Kubernetes, Docker, and CI/CD pipelines
- Support integration with vendor EMS/NMS, SDN controllers, cloud platforms, OSS, inventory, assurance, and orchestration systems
- Build secure API-based execution frameworks using REST APIs, TMF Open APIs, NETCONF/RESTCONF, gRPC, Graph APIs, and vendor-specific APIs
- Implement execution guardrails including policy validation, approval gates, rollback mechanisms, dry-run checks, and audit logging
- Develop platform capabilities for AI/LLM-driven agents to safely trigger network actions
- Support deployment and operation of AI platforms such as Vertex AI or similar
- Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends
- Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices
- Implement infrastructure-as-code for platform environments and network automation resources
- Ensure automation platforms meet security, compliance, availability, observability, and operational resilience requirements
Skills
AnsibleAWSAzureBigQueryDockerGCPKubernetesMakePythonRESTRHELServiceNowTerraformGitHub Actions
Certifications
Kubernetes CKA/CKADTerraform AssociateRed Hat Ansible certificationGoogle Cloud certificationAWS certificationAzure certificationCisco automation-related certificationsJuniper automation-related certificationsNokia automation-related certificationsEricsson automation-related certificationsTM Forum Open API certification
Travel
Occasional travel to the client site
Relocation
No