System Reliability Engineer and AI Specialist

2 weeks ago

Palakkad, Kerala, India beBeeSystemReliabilityEngineer Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
System Reliability Engineer and AI Specialist

We are seeking an experienced System Reliability Engineer + AI Specialist to design, implement, and maintain scalable and reliable systems that integrate AI technologies.

Key Responsibilities:

  • Linux System Administration: Manage, configure, and optimize Linux servers (RHEL, Ubuntu, or similar), including applying patches, performing security hardening, and tuning for performance.
  • Kubernetes Management: Deploy, maintain, and troubleshoot Kubernetes clusters to ensure high availability and scalability.
  • Data Center & Hardware Operations: Oversee physical infrastructure including servers, storage systems, and networking hardware in on-premises data centers.
  • Security & Compliance: Apply updates and security patches to Linux-based Kubernetes environments and ensure alignment with internal security and compliance policies.
  • Collaboration & Support: Work closely with global SRE and Platform teams to support enterprise systems and Kubernetes clusters.
  • Incident & Case Management: Manage service tickets effectively using tools such as ServiceNow or Salesforce.

Required Skills and Qualifications:

  • Hands-on experience in Linux system administration (RHEL, Ubuntu, or equivalent) with certifications like RHCSA or RHCE being a plus.
  • Solid knowledge and practical experience in Kubernetes administration with certifications like CKA or CKS being an advantage.
  • Experience working with bare-metal infrastructure, including servers, storage arrays, and networking components.
  • Good understanding of networking protocols and technologies such as TCP/IP, DNS, firewalls, and load balancers with familiarity with Juniper OS being a plus.
  • Strong troubleshooting skills across infrastructure layers including hardware, OS, and Kubernetes.
  • Experience with automation tools like Ansible, Bash, or Python being beneficial.
  • Knowledge of monitoring and observability tools such as Prometheus, Grafana, and ELK Stack being a plus.

Soft Skills:

  • Excellent communication and collaboration abilities to work with global teams.
  • Strong problem-solving skills with a focus on reliability, scalability, and automation.
  • Adaptability to fast-paced, evolving environments—especially those involving AI/ML technologies.
Why You're the Right Fit:

This role requires a unique blend of technical expertise and soft skills. As a System Reliability Engineer and AI Specialist, you will be responsible for designing, implementing, and maintaining scalable and reliable systems that integrate AI technologies.

With your hands-on experience in Linux system administration and solid knowledge of Kubernetes administration, you will be able to tackle complex challenges and drive results. Your strong troubleshooting skills and experience with automation tools will also enable you to streamline processes and improve efficiency.

As a collaborative team player, you will work closely with global SRE and Platform teams to support enterprise systems and Kubernetes clusters. Your excellent communication and problem-solving skills will also help you navigate complex situations and build strong relationships with stakeholders.

Ultimately, this role is ideal for someone who is passionate about AI, has a keen eye for detail, and is not afraid to learn and adapt quickly. If you're excited about the prospect of joining a dynamic team and contributing to cutting-edge projects, we encourage you to apply today.

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