Principal Software Platform Engineer - DevOps

Description :

Job Title : Principal Software Platform Engineer (SW Platform)

Location : Bangalore, India (R&D Center)

Experience : 10 - 16 years

Employment Type : Full-time

About the Team :

The Software Platform team builds and operates a cloud-native infrastructure platform that automates and scales HPC and AI workloads across AWS environments.

We design and develop internal platform tools and services - including CLI tools, CI/CD automation, platform services, Kubernetes operators, and observability systems - to empower engineering teams to deploy, manage, and monitor complex distributed systems efficiently.

The team owns the entire infrastructure lifecycle, from design and development to deployment, monitoring, and optimization.

Role Overview :

We are looking for a senior, hands-on platform engineer with deep expertise in Rust, Go, or Python, who thrives in building scalable cloud-native systems. This role requires strong technical ownership, architectural thinking, and the ability to work on complex distributed platforms supporting HPC and AI workloads.

Key Responsibilities :

• Design and develop scalable cloud-native platform solutions to accelerate HPC and AI workloads.
• Build and maintain internal platform tools, services, and automation frameworks.
• Develop and operate Kubernetes-based infrastructure, including operators and controllers.
• Design, implement, and optimize CI/CD pipelines and automated deployment workflows.
• Implement GitOps and Infrastructure as Code (IaC) practices.
• Ensure platform scalability, reliability, security, and observability.
• Collaborate with cross-functional teams across geographies.
• Troubleshoot, debug, and optimize complex distributed systems.

Required Skills & Qualifications :

• 10 - 16 years of hands-on engineering experience.
• Strong proficiency in Rust, Go, or Python (hands-on coding is mandatory).
• Solid background in Linux environments.
• Extensive experience with cloud infrastructure and services (AWS preferred; Azure/GCP acceptable).
• Strong expertise in containers and orchestration : Docker & Kubernetes.
• Mandatory experience with Ansible and Kubernetes.
• Proven experience with :
• CI/CD workflows (e.g., GitHub Actions)
• Observability tools : OpenTelemetry, Prometheus, Grafana
• GitOps and Infrastructure as Code (IaC)
• Experience designing and maintaining distributed systems at scale.
• Bachelors degree in Computer Science or an equivalent discipline.

Nice-to-Have Skills :

• Experience with microservices and event-driven architectures.
• Background in HPC or AI infrastructure technologies.
• Hands-on experience building Kubernetes operators/controllers.

Ways to Stand Out :

• Proven experience building Kubernetes operators or custom controllers.
• Strong exposure to HPC, ML, or AI platform infrastructure.
• Demonstrated ownership of large-scale, production-grade platforms.