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NuPlay AI

Lead DevOps Engineer

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Description

We are looking for a Senior DevOps Engineer (8+ years) to own and scale our cloud and DevOps infrastructure as we expand our AI and SaaS platforms. This is a hands-on role for someone who can design, build, and operate highly available, secure, and scalable systems at production scale.


Responsibilities:

  • Design, build, and manage scalable cloud infrastructure on AWS (primary), with exposure to GCP and Azure.
  • Architect auto-scaling, high-availability (HA), and disaster recovery (DR) systems with defined RPO/RTO.
  • Design multi-region network architectures (VPCs, subnets, peering, NAT, trust zones).
  • Implement Infrastructure as Code (IaC) for automated provisioning and management.
  • Set up, manage, and monitor large-scale Kubernetes clusters.
  • Manage persistent volumes, networking, and Kubernetes network policies at scale.
  • Ensure best practices for reliability, security, and performance.
  • Design and maintain CI/CD pipelines to improve developer productivity.
  • Track and improve DevOps metrics (e. g., DORA).
  • Implement observability and monitoring for system health and performance.
  • Troubleshoot critical production issues and drive long-term fixes.
  • Integrate security practices (SAST, DAST, etc. ) into CI/CD workflows.
  • Design systems aligned with compliance standards, manage audits and renewals.
  • Work closely with engineering teams to align DevOps strategy with product goals.
  • Provide technical guidance and best practices for deployment and scaling.


Requirements:

  • CKA certification preferred.
  • 7+ years of experience in DevOps / Cloud / Infrastructure roles.
  • Strong hands-on expertise across AWS, GCP, and Azure.
  • Proven experience designing HA, DR, and large-scale distributed systems.
  • Deep understanding of Kubernetes, CI/CD, and cloud networking.
  • Strong troubleshooting skills with a root-cause analysis mindset.
  • Experience in AI, SaaS, or mid-stage startups is a strong plus.
  • Ability to lead by example in hands-on environments.

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