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Automation & Platform Engineer
Job in
Abingdon, Oxfordshire, OX14, England, UK
Listed on 2026-10-13
Listing for:
Capgemini
Full Time
position Listed on 2026-10-13
Job specializations:
-
Software Development
Backend Developer, DevOps, Cloud Engineer - Software
Job Description & How to Apply Below
This role focuses on building the execution layer for autonomous network operations. The Automation & Platform Engineer will design, implement, and operate automation workflows, orchestration pipelines, intent-to-configuration processes, platform services, API gateways, and cloud-native infrastructure required to execute autonomous network actions safely and reliably.
Key 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.
- Experience in network automation, platform engineering, Dev Ops, 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.
- Ansible and Terraform.
- Python automation.
- Kubernetes and Docker.
- CI/CD pipelines.
- REST APIs, Graph APIs, TMF Open APIs.
- NETCONF/RESTCONF, gRPC, vendor APIs.
- API management and orchestration.
- Intent-to-configuration workflows.
- Data pipelines.
- Vector databases and graph APIs.
- MCP integration.
- Security frameworks and compliance controls.
- Observability and logging.
- Kubernetes CKA/CKAD.
- Terraform Associate.
- Red Hat Ansible certification.
- Google Cloud, AWS, or Azure certification.
- Cisco, Juniper, Nokia, or Ericsson automation-related certifications.
- TM Forum Open API certification.
- Experience with Google Vertex AI, Gemini APIs, Big Query, or similar platforms.
- Experience with Lang Chain, Lang Graph, MCP, or agentic AI execution frameworks.
- Experience with Service Now, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms.
- Experience building secure automation for production telecom environments.
- Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)
- Open access to digital learning platforms
- Active…
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