Summary: The role of Senior Cloud Systems Engineer / Cloud DevOps Engineer focuses on designing, building, automating, and managing cloud platforms, particularly on Google Cloud Platform (GCP). The position requires extensive hands-on engineering expertise in cloud migrations, container orchestration, and infrastructure-as-code, with a strong emphasis on security and compliance for large regulated organizations. The engineer will be responsible for modernizing infrastructure and enabling automated cloud adoption. This role is ideal for candidates with a deep understanding of cloud technologies and operational support across multiple cloud environments.
Key Responsibilities:
- Design, build, and automate cloud infrastructure using Terraform modules and reusable IaC patterns.
- Develop Ansible playbooks and roles to automate OS hardening, application deployment, patching, and configuration.
- Implement CI/CD pipelines with Jenkins/GitHub Actions for image builds, vulnerability scanning, and automated deployments.
- Create and maintain Helm charts for application deployment on GKE clusters.
- Configure and manage Istio service mesh for traffic routing, security, and observability.
- Lead large-scale server and application migrations from on-prem data centers to GCP.
- Migrate ELK stack from on-prem to cloud, including Logstash, Filebeat, and dashboard integrations.
- Configure secure connectivity between on-prem and cloud (VPNs, VPC Peering, IAM federation).
- Support the modernization of legacy applications via containerization and cloud-native deployment models.
- Provision and manage GKE clusters with emphasis on performance, resilience, and security.
- Harden container images, remediate vulnerabilities (Aqua/Qualys/Trivy), and enforce best practices.
- Deploy distributed applications, message queues (RabbitMQ), caching services (Memcached), and proprietary services using Helm.
- Implement autoscaling, monitoring, and health checks for microservices and workloads.
- Support Teradata Vantage PaaS customers across AWS, Azure, and GCP in a 24x7 operational environment.
- Troubleshoot VM performance issues, crashes, or connectivity problems with cloud providers.
- Ensure uptime, SLA, SLO compliance, and proactive monitoring of large-scale deployments.
- Implement CIS benchmark-based OS and cloud hardening policies.
- Integrate security solutions such as Trend Micro, Qualys, and cloud-native scanning services.
- Configure IAM, RBAC, service accounts, and identity federation (GCDS + PingFederate).
- Enable audit logs, aggregated log routing, and SIEM integration (Splunk, Stackdriver, PagerDuty).
- Design GCP foundation architectures (Resource Hierarchy, IAM, VPCs, Subnets, Firewall, Logging).
- Develop HLD/LLD documentation, runbooks, and reusable design patterns.
- Work with business stakeholders to understand technical requirements and compliance needs (HIPAA, finance security guidelines).
Key Skills:
- 6+ years of hands-on cloud engineering experience (GCP preferred; AWS/Azure beneficial).
- Strong experience in GCP services: Compute Engine, GKE, IAM, VPC, Cloud SQL, Stackdriver, Cloud Identity.
- Proficiency with IaC and automation: Terraform, Ansible, Jenkins, GitHub, Helm, Docker.
- Real-world Kubernetes operations experience, including service mesh (Istio).
- Experience designing and migrating enterprise workloads to cloud.
- Strong knowledge of cloud networking (VPC, VPN, firewall rules, peering).
- Experience with monitoring and logging platforms (ELK, Stackdriver, LogicMonitor).
- Troubleshooting skills for Linux systems, VM issues, containerized workloads, and cloud-native services.
- Experience with security and compliance frameworks (HIPAA, CIS benchmarks).
- Background in multi-cloud operations and SRE/CloudOps environments.
- Experience creating hardened golden images using Packer/Cloud Build.
- Exposure to event-driven architectures and cloud-native CI/CD pipelines.
- Prior experience in financial services or healthcare is a strong plus.
Salary (Rate): undetermined
City: Greater London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role Overview We are seeking an experienced Senior Cloud Systems Engineer / Cloud DevOps Engineer to design, build, automate, and manage cloud platforms with a strong emphasis on Google Cloud Platform (GCP) , Kubernetes (GKE) , Terraform , and CI/CD automation . This role is ideal for someone with deep hands-on engineering expertise in cloud migrations, container orchestration, infrastructure-as-code, security hardening, and multi-cloud operational support. You will play a key role in modernizing infrastructure , migrating on-prem workloads to GCP , building enterprise-grade landing zones , and enabling scalable, secure, and automated cloud adoption for large regulated organizations (banking, fintech, healthcare, etc.).
Key Responsibilities Cloud Engineering & Automation Design, build, and automate cloud infrastructure using Terraform modules and reusable IaC patterns. Develop Ansible playbooks and roles to automate OS hardening, application deployment, patching, and configuration. Implement CI/CD pipelines with Jenkins/GitHub Actions for image builds, vulnerability scanning, and automated deployments. Create and maintain Helm charts for application deployment on GKE clusters. Configure and manage Istio service mesh for traffic routing, security, and observability. Cloud Migration (On-Prem to GCP) Lead large-scale server and application migrations from on-prem data centers to GCP. Migrate ELK stack from on-prem to cloud, including Logstash, Filebeat, and dashboard integrations. Configure secure connectivity between on-prem and cloud (VPNs, VPC Peering, IAM federation). Support the modernization of legacy applications via containerization and cloud-native deployment models. Kubernetes Engineering (GKE) Provision and manage GKE clusters with emphasis on performance, resilience, and security. Harden container images, remediate vulnerabilities (Aqua/Qualys/Trivy), and enforce best practices. Deploy distributed applications, message queues (RabbitMQ), caching services (Memcached), and proprietary services using Helm. Implement autoscaling, monitoring, and health checks for microservices and workloads. Multi-Cloud Operations Support Teradata Vantage PaaS customers across AWS, Azure, and GCP in a 24x7 operational environment. Provision and manage cloud VMs, storage, networking, and customer environments. Troubleshoot VM performance issues, crashes, or connectivity problems with cloud providers. Ensure uptime, SLA, SLO compliance, and proactive monitoring of large-scale deployments. Security, Governance & Compliance Implement CIS benchmark-based OS and cloud hardening policies. Integrate security solutions such as Trend Micro, Qualys, and cloud-native scanning services. Configure IAM, RBAC, service accounts, and identity federation (GCDS + PingFederate). Enable audit logs, aggregated log routing, and SIEM integration (Splunk, Stackdriver, PagerDuty). Architecture, Design & Documentation Design GCP foundation architectures (Resource Hierarchy, IAM, VPCs, Subnets, Firewall, Logging). Develop HLD/LLD documentation, runbooks, and reusable design patterns. Work with business stakeholders to understand technical requirements and compliance needs (HIPAA, finance security guidelines).
Required Skills & Experience 6+ years of hands-on cloud engineering experience (GCP preferred; AWS/Azure beneficial). Strong experience in GCP services: Compute Engine, GKE, IAM, VPC, Cloud SQL, Stackdriver, Cloud Identity. Proficiency with IaC and automation: Terraform , Ansible , Jenkins , GitHub , Helm , Docker . Real-world Kubernetes operations experience, including service mesh (Istio). Experience designing and migrating enterprise workloads to cloud. Strong knowledge of cloud networking (VPC, VPN, firewall rules, peering). Experience with monitoring and logging platforms (ELK, Stackdriver, LogicMonitor). Troubleshooting skills for Linux systems, VM issues, containerized workloads, and cloud-native services. Preferred Qualifications Experience with security and compliance frameworks (HIPAA, CIS benchmarks). Background in multi-cloud operations and SRE/CloudOps environments. Experience creating hardened golden images using Packer/Cloud Build. Exposure to event-driven architectures and cloud-native CI/CD pipelines. Prior experience in financial services or healthcare is a strong plus.
