Autonomous Network Automation Engineer - Hybrid

Capgemini; Abingdon; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Capgemini is seeking an Automation & Platform Engineer to build the execution layer for autonomous network operations. You will design, implement, and operate automation workflows, pipelines, and platform services using Ansible, Terraform, Python, Kubernetes, Docker, and CI/CD in a hybrid UK-based role.

The role requires hands-on experience with network automation, API-driven ecosystems, and secure, observable automation with policy controls.

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

Ansible

Terraform

Python

Kubernetes

Docker

CI/CD

REST APIs

Graph APIs

TMF Open APIs

NETCONF/RESTCONF

gRPC

RBAC & policy controls

Security & compliance

Intent-to-configuration

Job description

Capgemini is seeking an Automation & Platform Engineer to build the execution layer for autonomous network operations. You will design, implement, and operate automation workflows, pipelines, and platform services using Ansible, Terraform, Python, Kubernetes, Docker, and CI/CD in a hybrid UK-based role.

The role requires hands-on experience with network automation, API-driven ecosystems, and secure, observable automation with policy controls.