Sr. DevOps Engineer

NuPlay AI; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

NuPlay AI seeks a Senior DevOps Engineer to design and scale cloud infrastructure for its AI and SaaS platforms. The role focuses on building secure, reliable, and highly available systems using AWS as the primary cloud, with GCP and Azure as complementary platforms.

You will manage large Kubernetes clusters, implement robust CI/CD, and drive observability and incident response. The ideal candidate has 8+ years in DevOps/Cloud Infra, strong automation skills, and a proven track record in

Qualifications

• 8+ years of experience in DevOps / Cloud Infrastructure roles.
• Strong hands-on experience with AWS, GCP, and Azure.
• Expertise in Kubernetes at scale and managing multi-region deployments.

Responsibilities

• Design, implement, and scale cloud infrastructure for AI/SaaS platforms.
• Deploy and manage large Kubernetes clusters with secure networking and storage.
• Build and maintain CI/CD pipelines; automate release, deployment, and rollback processes.
• Establish observability, performance monitoring, and incident response to minimize downtime.
• Embed security practices and ensure audit readiness across environments.

Skills

AWS

GCP

Azure

Kubernetes

CI/CD

RCA

Job description

We are looking for a Senior DevOps Engineer to design and scale highly reliable, secure, and performant infrastructure supporting our AI and SaaS platforms. You will play a key role in building cloud-native systems, automation pipelines, and production-grade infrastructure at scale.

The core responsibilities for the job include the following:

Cloud Infrastructure (Must Have):

• Design, implement, and manage scalable infrastructure on AWS (primary), GCP, and Azure.
• Build auto-scaling, high-availability, and performance-optimized systems.
• Design multi-region architectures with secure network segmentation (VPCs, subnets, NAT, peering, etc. ).
• Implement disaster recovery and high availability systems (RPO/RTO-based design).
• Automate infrastructure using Infrastructure-as-Code tools.

Kubernetes and Containerization (Must Have):

• Deploy and manage large-scale Kubernetes clusters.
• Manage persistent volumes and storage systems at scale.
• Implement Kubernetes networking policies and best practices.
• Ensure production-grade reliability of containerized workloads.
• CKA certification preferred.

CI/CD and Automation (Must Have):

• Design and maintain CI/CD pipelines to improve developer productivity.
• Improve DevOps maturity using metrics like DORA.
• Automate release, deployment, and rollback processes.

Monitoring and Reliability:

• Implement observability systems for monitoring performance and system health.
• Troubleshoot critical production issues and perform root cause analysis.
• Build proactive systems to prevent downtime.

Security and Compliance (Must Have):

• Integrate security practices (SAST, DAST, etc. ) into DevOps workflows.
• Ensure compliance standards and audit readiness.
• Manage security audits and remediation planning.

Requirements:

• 8+ years of experience in DevOps / Cloud Infrastructure roles.
• Strong hands-on experience with AWS, GCP, and Azure.
• Expertise in Kubernetes at scale.
• Experience in designing HA/DR systems.
• Strong CI/CD pipeline implementation experience.
• Excellent troubleshooting and RCA skills.
• Ability to lead by example in hands-on technical execution.

Good to Have:

• Experience in AI / SaaS / high-growth startup environments.
• Exposure to large-scale distributed systems.
• CKA certification.
• Strong understanding of DevOps metrics (DORA).

What We Look For:

• Strong ownership mindset.
• Ability to operate in high-scale, high-availability environments.
• Deep hands-on technical expertise (not just management-level experience).
• Strong problem-solving and incident-handling skills.