Operate and recover Kubernetes control planes carrying live tenant workload, including etcd state, certificate rotation, failed upgrades and corrupted resources.
Key Responsibilities:Power Platform Development- Design, develop, and maintain scalable solutions using Microsoft Power Platform- Build canvas and model-driven Power Apps to support business operations and process digitization- Develop reusable components, connectors, and integrations within the Power Platform ecosystem- Ensure adherence to security, governance, and compliance standardsPower Automate Workflow Development- Design and implement Power Automate flows to automate end-to-end business processes- Develop workflow orchestration for Loans, KYC, AML reviews, approvals, validations, and operational handoffs- Integrate workflows with enterprise applications, databases, APIs, and Microsoft 365 services- Monitor, troubleshoot, and optimize automation workflows for performance and reliability
What You'll Do: Design, develop, and deploy custom applications using Power Apps, Power Automate, and Power BI ️ Integrate data sources and services across Microsoft ecosystem Analyze business requirements and translate them into technical solutions Maintain and optimize existing Power Platform solutions Collaborate with cross-functional teams for solution delivery Document processes and provide user training as needed
Collaborate with cross-functional stakeholders including engineering, manufacturing, automation, IT, and operations teams to deliver end-to-end digital solutions.
Collaborate with cross-functional stakeholders including engineering, manufacturing, automation, IT, and operations teams to deliver end-to-end digital solutions.
Validate the performance and reliability of the testing platform, including the underlying virtualisation infrastructure (e.g. VMWare virtualisation, Red Hat virtualisation) to ensure high performance, reliability, and scalability, and conduct ongoing assessments to identify opportunities for enhancement and optimisation.
Embed security into the platform and delivery path: SAST/DAST, dependency and container scanning, secrets management, image signing, admission policies, and policy-as-code—making the secure path the default path for developers.
The role supports the Lead AI Platform Engineer and development teams in delivering trusted agent identities, secure interactions and enterprise agent registry capabilities. It covers implementation, testing, troubleshooting, deployment and operational support for assigned platform services, working with internal staff, offshore engineers, vendors and other platform teams.