- Experience in Platform Engineering, DevOps, backend or a related field, with a proven track record of designing and delivering complex, mission-critical infrastructure projects.

- Programming and Scripting : Strong programming and scripting skills in languages such as Python, Go, Java, or Shell, with a focus on writing clean, maintainable, and efficient code.

- Multi-Cloud Expertise : Deep, hands-on expertise in both AWS and Azure. You should have experience designing, deploying, and managing solutions that span multiple cloud environments.

- Container Orchestration : Expert-level knowledge of Kubernetes and the broader cloud-native ecosystem. This includes a deep understanding of Kubernetes networking (CNI), security (RBAC, Network Policies), storage, and scalability patterns.

- Secure CI/CD Architecture : Extensive experience architecting and building secure, fully automated CI/CD pipelines for complex microservices architectures.

- You understand how to embed security and compliance into the entire lifecycle.

- Nack for Risk and Security : As part of being a banking / financial institution, security and risk in ingrained in our daily activity.

- A key competency would be not just building great tech but also building with the best practices of security & risk ingrained in our daily decisions.

- Strong Architectural Skills : Proven ability to make sound architectural decisions, considering trade-offs between performance, reliability, security, and cost. You can clearly articulate and document your designs.

- Leadership and Mentorship : Demonstrated experience mentoring and developing junior engineers, with a passion for sharing knowledge and elevating the skills of those around you.

- Experience with modern CI/CD orchestration and continuous delivery platforms like Harness.

- Experience in designing and building internal developer platforms or self-service portals using frameworks like Backstage, potentially leveraging TypeScript for custom plugins.

- A keen interest in applying AI/GenAI to platform engineering challenges such as predictive scaling, anomaly detection, or intelligent cost optimization, developer agents, pipeline agents, test agents etc.

- Familiarity with FinOps principles and practices for managing cloud costs at scale.