Devops Engineer L1

● Part of the DevSecOps Execution & Support function, partnering with development teams to deliver secure, high-quality software — for individuals with a strong will to learn, who are open and collaborative, and who want to make a meaningful impact on the future of digital banking and financial services. ● Contribute to building and maintaining the DevSecOps platform and tool chain — the internal, self-service platform that gives teams across ITG one consistent, secure, and auditable way to build, deploy, and operate software on any cloud. ● Build and maintain reusable infrastructure-as-code and pipeline components, under guidance and to the team's standards. ● Grow into DevSecOps and cloud-engineering practices, developing hands-on capability across the tool chain. ● Enterprise Cloud Automation (ECA): contribute to building, hardening, and scaling the platform, including business-unit onboarding. ● DevSecOps Adoption: support teams adopting the platform — tool chain standardization and hands-on support to consuming squads ● Build and maintain reusable infrastructure-as-code modules (Terraform) and golden patterns, to established standards. ● Implement and extend platform components across AWS, Azure, and GCP, following the platform's architecture and standards. ● Help implement policy-as-code and automated guardrails so teams can provision within approved boundaries. ● Support and help quality-assure vendor-executed work against the platform's standards. ● Provide hands-on support to squads consuming the platform — pipeline onboarding, basic troubleshooting, and small enhancements under guidance. Requirements ● Working exposure to at least one public cloud — AWS, Azure, or GCP. ● Infrastructure-as-code — Terraform — working knowledge, willing to deepen. ● CI/CD — GitHub / GitHub Actions; containers — Docker and basic Kubernetes (EKS / AKS / GKE). ● Exposure to pipeline security tooling — SAST / DAST / SCA, container/image scanning (e.g. Trivy, Qualys), secrets management. ● Basic observability and monitoring; scripting (e.g. Python, Bash). ● Git-based workflows and code review.