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Job Description

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.

- 8+ 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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