Senior Platform Engineer

cube; Bengaluru; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

Cube RegTech is seeking a Senior Platform Engineer in Bengaluru to build and operate cloud-native platform services on Microsoft Azure, with AKS-based runtimes. You will develop reusable infrastructure modules (Terraform, Helm) and enable self-service by application, data, and ML teams.

You will own platform components end-to-end, implement IaC and GitOps workflows, and contribute to CI/CD pipelines using Azure DevOps and GitHub Actions. Strong security and observability practices are essential.

Qualifications

• Strong experience in cloud engineering with hands-on Azure.
• Production experience operating AKS at scale.
• Advanced use of Terraform for infrastructure provisioning.
• Strong working knowledge of Helm for Kubernetes.
• Experience building and operating CI/CD pipelines with Azure DevOps and GitHub Actions.
• Security controls and identity management in cloud environments.

Responsibilities

• Design, build, and operate shared platform services on Microsoft Azure, focusing on AKS-based runtime platforms.
• Develop and maintain reusable infrastructure modules (Terraform, Helm) for self-service by application, data, and ML teams.
• Own platform components end-to-end 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 IaC and GitOps workflows; contribute to CI/CD pipelines using Azure DevOps and GitHub Actions.
• Reduce manual effort via automation, self-service tooling, and opinionated defaults.
• Ensure platform services meet SLOs, security controls, compliance, and resilience.
• Implement observability using New Relic (metrics, logs, alerts, dashboards).
• Lead or assist incident investigations; participate in post-incident reviews and systemic improvements.
• Design backup, recovery, and disaster recovery for platform-managed services.
• Enable application teams with reliable deployment and runtime patterns (ingress, service mesh, secrets, scaling, CI/CD).
• Support DataOps and MLOps workloads by providing secure, scalable platforms for data pipelines and ML lifecycle tooling.

Skills

Cloud engineering

Reliability engineering

Incident management

Observability

Security controls

Networking

Identity management

Platform automation

Self-service platforms

Mentoring

Tools

Azure

Azure Kubernetes Service (AKS)

Terraform

Helm

Azure DevOps

GitHub Actions

New Relic

Job description

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 ever‑changing world of compliance for our clients.

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.
• Mentor and support junior and mid‑level engineers, sharing platform engineering best practices.
• Contribute to continuous improvement of platform processes, documentation, and standards.

Skills & Competencies

• Strong experience in cloud engineering, with hands‑on expertise in Microsoft Azure.
• Production experience operating Azure Kubernetes Service (AKS) at scale.
• Advanced use of Terraform for infrastructure and platform provisioning (modules, state management, governance).
• Strong working knowledge of Helm for Kubernetes workload and platform configuration.
• Experience building and operating CI/CD pipelines using Azure DevOps and/or GitHub Actions.
• Solid understanding of cloud networking, identity (Azure AD / Managed Identity), private endpoints, and security controls.
• Experience designing self‑service platforms or reusable infrastructure patterns.
• Strong understanding of reliability engineering, incident management, and change control in production environments.
• Practical experience with observability and monitoring, ideally with New Relic or equivalent tools.