Platform Engineer

Rakuten; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Rakuten Bengaluru seeks a senior Platform Architect to lead a unified, developer-centric platform across multi-clouds, bridging app logic and infrastructure for high performance. You will drive AIOps, AI-driven IaC, and proactive observability while shaping CI/CD pipelines and DevEx tooling for rapid software delivery.

Expect leadership across global teams, deep Kubernetes expertise, and a strong focus on governance, security, and cost optimization in a large-scale environment.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or related field.
• 15+ years of experience in software engineering, infrastructure, and platform engineering.
• Dual-competency: proven track record architecting large-scale applications and managing cloud infrastructure.
• Autonomy: ability to troubleshoot issues across the entire stack from code to network.

Responsibilities

• Architect and evolve a unified, developer-centric platform across multi-cloud environments (AWS, Azure, and/or GCP).
• Bridge the gap between application logic and infrastructure for seamless integration and high performance.
• Lead the AIOps transformation with AI-driven systems for predictive scaling and automated root-cause analysis.
• Design high-velocity CI/CD pipelines and drive AI-assisted development tooling for faster delivery.
• Lead architecture of global-scale Kubernetes environments with strong security and service-m mesh performance.
• Implement FinOps practices to optimize cloud spend with AI-driven forecasting and governance.

Skills

Fullstack

Platform Engineering

Application & Infrastructure

Cloud Architecture

Development

DevOps

Education

Bachelor's or Master's in CS/Engineering or related field

Tools

Kubernetes

Istio

Linkerd

Prometheus

Grafana

Datadog

Job description

Platform Architecture and Strategy:

• Architect and evolve a unified, developer-centric platform across multi-cloud environments (AWS, Azure, and/or GCP).
• Bridge the gap between application logic and infrastructure, ensuring seamless integration and high-performance execution.

AIOps and Intelligent Automation:

• Lead the AIOps transformation: Architect and implement AI-driven systems for predictive scaling, intelligent incident response, and automated root-cause analysis.
• Leverage LLMs and ML models to automate Infrastructure-as-Code (IaC) generation, security remediation, and complex diagnostic workflows.
• Implement log anomaly detection and predictive observability to transition from reactive to proactive system management.

CI/CD and Developer Experience (DevEx):

• Design high-velocity, "paved-road" deployment pipelines that empower engineers to ship code safely.
• Drive the adoption of AI-assisted development tools to accelerate the software delivery lifecycle.

Kubernetes and Scalability:

• Lead the architecture of global-scale Kubernetes environments, focusing on multi-tenancy, security, and service mesh performance.
• Optimize system performance under extreme traffic, ensuring 99.99% availability through advanced capacity planning.

FinOps and Governance:

• Implement advanced FinOps practices to optimize cloud spend, utilizing AI-driven forecasting to eliminate waste.
• Establish strong human-in-the-loop governance for all AI-automated infrastructure changes.

Requirements:

• Mandatory Skills: Fullstack, Platform Engineering, Application and Infrastructure, Cloud Architecture, Development, and DevOps Experience.
• Bachelor's or master's degree in computer science, engineering, or a related field.
• 15+ years of experience in software engineering, infrastructure, and platform engineering.
• Dual-Competency: Proven track record of architecting large-scale applications and managing the underlying cloud infrastructure.
• Autonomy: Proven ability to troubleshoot issues across the entire stack from application code and API performance to network latency and container orchestration.

Technical and Problem-Solving Skills:

• Deep expertise in multi-cloud architecture and distributed systems design.
• Expert-level knowledge of Kubernetes, service meshes (e. g., Istio, Linkerd), and cloud-native observability.
• AIOps Proficiency: Demonstrated experience implementing AI/ML-driven operational workflows (e. g., automated diagnostics, predictive maintenance).

Collaboration and Leadership:

• Experience leading and mentoring teams in a global, cross-functional environment.
• Ability to influence stakeholders and align technical strategy with high-level business objectives.

Nice to Have:

• Experience training or fine-tuning models for infrastructure automation.
• Contributions to open-source projects related to Cloud-Native or AI tooling.
• Deep knowledge of modern observability stacks (Prometheus, Grafana, Honeycomb, Datadog).
• Experience with advanced infrastructure security (Zero Trust, Policy-as-Code).