Cloud Engineering Specialist
BT GroupJob Description
Cloud Engineering Specialist
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About the role
The Cloud Engineering Specialist independently implements core infrastructure and security services in Amazon Web Services to deliver highly available and scalable services, automating time intensive processes whilst and meeting security and compliance objectives in all aspects of the secure cloud ecosystem.
What you’ll be doing
• Design and maintain platform architecture for microservice-based integration services (Java/Spring Boot, Kubernetes, AWS).
• Define and implement infrastructure patterns using IaC (Terraform, CloudFormation, Helm) for repeatable, auditable deployments.
• Drive resiliency improvements — circuit breakers, retry patterns, failover strategies, chaos engineering, and disaster recovery design.
• Own performance engineering — profiling, load testing, bottleneck identification, and capacity planning across the platform.
• Implement and govern DevSecOps pipelines — SAST, SCA, secrets scanning, SBOM generation, and vulnerability remediation workflows.
• Perform deep debugging and root cause analysis across distributed systems using log analytics (ELK, CloudWatch, Splunk), tracing (Jaeger, X-Ray), and metrics (Prometheus, Grafana).
• Build automation tooling for deployment, scaling, monitoring, and incident response.
• Apply AI/ML for operational intelligence — anomaly detection, predictive alerting, log pattern classification, and auto-remediation.
• Collaborate with architecture teams on system design reviews, ADRs, and technical governance.
• Identify and develop trusted adviser relationships with relevant stakeholders, management sponsors, and senior executives.
Essential Skills / Experience
• AWS (EKS, ECS, EC2, Lambda, S3, RDS, CloudWatch, IAM)
• Kubernetes, Docker, Helm, ArgoCD
• Infrastructure as Code (Terraform, CloudFormation)
• Java/Spring Boot or Python (for platform tooling and automation)
• CI/CD (GitLab CI, Jenkins, GitHub Actions)
• DevSecOps (SAST, SCA, secrets management, SBOM, supply chain security)
• Observability (Prometheus, Grafana, ELK, distributed tracing)
• Performance engineering (JMeter, Gatling, profiling, capacity planning)
• Log analytics and debugging across distributed microservices
Desirable Skills / Experience
• AI/ML for operations (anomaly detection, log classification, predictive alerting)
• LLM/GenAI integration (Bedrock, Ollama, RAG patterns)
• Chaos engineering (Litmus, Gremlin)
• mesh (Istio, Envoy)
• Event-driven architecture (RabbitMQ, Kafka, EventBridge)
• Agentic frameworks and AI-driven automation.
BT Group is the UK’s leading communications group and the holding company behind some of the country’s most recognised brands – including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.
BT Group’s role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.
Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next – simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.
We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country’s most important companies.
Experience Level
Mid LevelJob role
Job requirements
About company
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