Automation & Platform Engineer

Capgemini Engineering; Greater London; Hybrid; GBP 90,000 - 135,000; Full time

Job summary

Capgemini Engineering in the United Kingdom is seeking an Automation & Platform Engineer to design, implement and operate automation workflows, orchestration pipelines and infrastructure required to execute autonomous network actions safely.

You will build repeatable automation playbooks, integrate with network controllers and cloud platforms, and implement guardrails, RBAC and audit logging to support secure, compliant operations.

Qualifications

• Hands-on automation and platform engineering experience in telecom or cloud environments.
• Strong 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, cloud platforms and vendor APIs.
• Knowledge 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 translating validated intents to actions.
• Develop reusable automation playbooks, templates, modules, and orchestration workflows.
• Implement automation using Ansible, Terraform, Python, Kubernetes, Docker, and CI/CD pipelines.
• Integrate with EMS/NMS, SDN controllers, cloud platforms, OSS, inventory, assurance, and orchestration systems.
• Build secure API-based execution frameworks using REST, TMF Open APIs, NETCONF/RESTCONF, gRPC and vendor APIs.
• Implement execution guardrails including policy validation, approval gates, rollback, and audit logging.
• Develop platform capabilities for AI/LLM-driven agents to trigger network actions safely.
• 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 resilience.

Skills

Automation

Platform engineering

DevOps

Cloud engineering

API design

Kubernetes

Docker

CI/CD

Python

Ansible

Terraform

Education

Certifications in Kubernetes / Ansible / Terraform

Cloud certifications (AWS/GCP/Azure)

Tools

Kubernetes

Docker

CI/CD tools

REST APIs

TMF Open APIs

Job description

Your Role

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.

Your Profile

• 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.

Required Technical Skills

• 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.

Preferred Certifications

• 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.

Nice‑to‑Have Qualifications

• Experience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms.
• Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks.
• Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms.
• Experience building secure automation for production telecom environments.

If you're excited about this role but don’t meet every requirement, we still encourage you to apply; your unique experience could be just what we need.

Make it real – what does it mean for you?

• Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)
• Open access to digital learning platforms
• Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini

This is a Disability Confident Employer

Capgemini Is Proud To Be a Disability Confident Employer (Level 2) Under The UK Government’s Disability Confident Scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role. Please opt in during the application process.

Need to know

• All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
• Location: This is a permanent role with Capgemini, offering a hybrid working model. The client is based in Newbury and occasional travel to the client site will be required.
• You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.