Job Opportunities API

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.    Why us? 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Purpose This role focuses on cloud-native platform engineering: building self-service infrastructure, standardised deployment patterns, and reliable runtime platforms on Azure. You will work closely with software, data, and ML teams to provide guardrails, automation, and operational excellence across the full system lifecycle. Key Responsibilities • Design, build, and operate shared platform services on Microsoft Azure, with a strong focus on AKS-based runtime platforms. • Develop and maintain reusable infrastructure and platform modules (Terraform, Helm) that enable safe self-service by application, data, and ML teams. • Own platform components end-to-end (build–run), including availability, performance, security, cost, and operability. • Define and evolve platform standards and golden paths for workload onboarding, networking, identity, secrets, observability, and scaling. • Implement infrastructure and platform changes using Infrastructure as Code (Terraform) and GitOps-style workflows. • Contribute to and improve CI/CD pipelines using Azure DevOps and GitHub Actions, including automated validation, approvals, and rollbacks. • Reduce manual operational effort through automation, self-service tooling, and opinionated defaults. • Ensure platform services meet agreed SLOs, security controls, compliance requirements, and resilience standards. • Implement and maintain observability using New Relic, including metrics, logs, alerts, and dashboards. • Lead or support investigation and resolution of complex platform incidents; contribute to post-incident reviews and systemic improvements. • Design and validate backup, recovery, and disaster recovery mechanisms for platform-managed services. • Enable application teams with reliable deployment and runtime patterns (e.g. ingress, service mesh, secrets, scaling, CI/CD integration). • Support DataOps and MLOps workloads by providing secure, scalable platforms for data pipelines, model training, and inference. • Collaborate with data and AI teams on services such as Microsoft Fabric, data platforms, and ML lifecycle tooling. • Act as a senior technical partner to software engineers, data engineers, and ML engineers. • Provide technical input into solution and service design, ensuring operational and platform considerations are addressed early. • Ment