DevOps Engineer - HSBC Sheffield
Role details
Job location
Tech stack
Job description
Seeking a highly skilled and experienced Senior DevOps Engineer with 10+ years of experience to architect, implement, and manage secure cloud infrastructure, automation frameworks, and AI-enabled application delivery across multi-cloud environments. This role has a primary focus on Azure and GCP, with secondary support for AWS. The ideal candidate will bring deep expertise in Terraform-based Infrastructure as Code, CI/CD, Kubernetes, DevSecOps, Nexus-based artifact management, and platform reliability, with strong alignment to security, compliance, and governance standards in regulated environments such as banking and financial services., Architect and operate secure, scalable, and resilient cloud platforms across Azure and GCP, while supporting AWS integrations and workloads where required.
Design and maintain end-to-end CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and cloud-native tooling.
Build reusable Infrastructure as Code modules and standards using Terraform, with strong state management and deployment governance.
Deploy and manage container platforms and workloads across AKS and GKE as primary targets, with practical support for EKS.
Own enterprise artifact lifecycle management using Nexus, Azure Repos, GitHub, GitHub Enterprise, GitHub Actions, including repository strategy, dependency governance, retention, and promotion controls.
Implement DevSecOps controls including SAST, DAST, dependency and container image scanning, secrets management, and policy-as-code.
Define release strategies, environment promotion flows, rollback mechanisms, and audit-ready deployment processes.
Establish observability standards for logs, metrics, traces, and proactive alerting across cloud-native applications.
Lead incident response, root cause analysis, and reliability improvements to reduce service disruption and improve recovery times.
Drive cloud cost optimization and FinOps practices through resource governance, right-sizing, and utilization analysis.
Collaborate with security, architecture, and engineering teams to ensure secure platform patterns and enterprise compliance.
Mentor engineers and drive DevOps best practices, automation-first culture, and platform standardization.
Requirements
10+ years of experience in DevOps, Cloud Platform Engineering, SRE, or related roles.
Strong hands-on expertise in Azure and GCP services, architecture, and operations.
Working knowledge of AWS for secondary multi-cloud support and integration use cases.
Advanced experience with CI/CD tools such as Azure DevOps, GitHub Actions, and Jenkins.
Deep Infrastructure as Code expertise with Terraform, including module design and lifecycle management.
Strong containerization and orchestration experience with Docker and Kubernetes (AKS and GKE preferred).
Mandatory hands-on experience with Nexus Repository Manager for artifact storage, versioning, security, and pipeline integration.
Solid scripting and automation skills in Python, Bash, and PowerShell.
Strong cloud security knowledge including IAM, RBAC, secrets and key management, encryption, and network security controls.
Practical DevSecOps experience with vulnerability management and secure software supply chain practices.
Experience implementing monitoring and observability using tools such as Azure Monitor, Google Cloud Operations, Prometheus, Grafana, and centralized logging platforms.
Strong understanding of networking concepts including VNET, VPC, DNS, ingress, load balancing, and private connectivity patterns.
Proven experience in regulated enterprise environments with strict governance, change control, and audit requirements.
Excellent communication, stakeholder management, and cross-functional collaboration skills.
Preferred Certifications
Certifications are preferred, not mandatory. Equivalent hands-on multi-cloud experience is acceptable., AWS - DevOps Engineer - Professional / Solutions Architect - Professional
Platform and DevOps - Terraform Associate / CKA / CKS
Good to Have
Experience with AI and ML workload deployment pipelines in cloud environments.
Experience with policy and governance tooling plus compliance automation in banking or financial domains.
Exposure to Git operation practices and platform engineering operating models.