# Principal Platform Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-01

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients**

  
Min Experience: 12+ years  
Location: Bengaluru  
JobType: full-time

## Requirements

**Key Responsibilities**

**Platform Architecture & 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 & 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 & 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 & 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 & 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.

**What We’re Looking For**

**Experience & Expertise**

-   12 to 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 & 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 & 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.

**Qualifications**

-   Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

**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).

### Must-have skills

Microsoft Azure, GCP, Kubernetes

### Good-to-have skills

Docker and Kubernetes, Application, Full-Stack Development

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/DF91C723BA/apply)

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