Sr. DevOps Engineer
Posted Updated
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.
