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NuPlay AI

Sr. DevOps Engineer

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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.

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