Platform engineer Work, Jobs in Lechlade, Gls (with Salaries)

Automation & Platform Engineer
Capgemini —Abingdon
- Hybrid work
- Azure
- DevOps
- Travel
13d
Azure Cloud Engineer
Conrad Energy —Abingdon
- £60,000 - £65,000 a year
- Full-time
- Hybrid work
- Azure
Quick apply
14d
Software Inference Deployment Engineer
Lumai —Oxford
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- Linux
- Annual leave
Quick apply
Senior Systems Engineer (FTC/Secondment)
Thames Valley Police —Kidlington
- Up to £52,000 a year
- Part-time
- Hybrid work
- Azure
- Travel
- Leadership
- Annual leave
- Employee discount
1d
Developer
NCC Group —Cheltenham
- Full-time
- Hybrid work
- AWS
- Scripting
- Python
- Annual leave
Quick apply
Full Stack Engineer (Investment Platform)
St. James's Place —Cirencester
- Azure
- Data analysis skills
- SQL
- Annual leave
Software Engineer | Engineering Platform | C# / C++
Reqiva ltd —Oxford
- £60,000 - £68,000 a year
- Full-time
- Azure
- Engineering
- AWS
- Free parking
- Employee discount
Quick apply
Infrastructure & Platform Engineer
University of Oxford —Oxford
- £39,424 - £47,779 a year
- Full-time
- Bachelor's degree
- Computer networking
- Organisational skills
Software Engineer, Platform - Oxford, United Kingdom
Speechify —Oxford
- Remote
- Azure
- AWS
- APIs
DevOps Engineer
Origin8tive Limited —Cheltenham
- £43,000 - £60,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Health & wellbeing programme
- Flexitime
Quick apply
Automation Engineer
Open Cosmos —Didcot
- Hybrid work
- English
- Python
IT Project Engineer
Oxford Nanopore Technologies —Oxford
- Full-time
- Azure
- Microsoft Office
- Scripting
Senior Automation Engineer, Laboratory Automation & Biobanking
Moderna, Inc. —Oxford
- Full-time
- Computer Science
- Engineering
- Laboratory experience
- Annual leave
DV Application Support Engineer - Contract (outside of IR35)
TwinStream —Cheltenham
- £500 - £600 a day
- Remote
- DevOps
- Java
- AWS
Quick apply
AI Accelerator Product Systems Engineer
Lumai —Oxford
- Full-time
- Hybrid work
- Analysis skills
- Machine learning
- AI
- Annual leave
Quick apply

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Azure Cloud Engineer
Conrad Energy —Abingdon
Managed identities and least-privilege access (RBAC). Secure network design and service access. The job description will be subject to regular review and…
£60,000 - £65,000 a year
Quick apply
14d
Full Stack Software Engineer (Cloud & Integrations)
BabelQuest —Oxford
Flexible working (a mix of working at home and at the office). You’ll work under the direction of our Technical Consultant on architecture, planning and the…

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Automation & Platform Engineer

Capgemini -
Abingdon

Apply Now

Job details

Permanent
13 days ago

Qualifications

Cloud infrastructure
Azure
Law
MCP
Kubernetes
Ansible
DevOps
Microservices
Docker
Terraform
REST
Computer networking
Telecommunication
APIs
MPLS
ServiceNow
AI
gRPC
Python
Juniper

Full 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 stillencourage 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 withCapgemini (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

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.

Capgemini. Make it real.

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 inclusivefuture is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

Make it real | www.capgemini.com

Apply Now

Refine Your Search

platform engineer jobs in lechlade, gls

Automation & Platform Engineer

Azure Cloud Engineer

Software Inference Deployment Engineer

Senior Systems Engineer (FTC/Secondment)

Developer

Full Stack Engineer (Investment Platform)

Software Engineer | Engineering Platform | C# / C++

Infrastructure & Platform Engineer

Software Engineer, Platform - Oxford, United Kingdom

DevOps Engineer

Automation Engineer

IT Project Engineer

Senior Automation Engineer, Laboratory Automation & Biobanking

DV Application Support Engineer - Contract (outside of IR35)

AI Accelerator Product Systems Engineer

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