Site Reliability Engineering - Monitoring Tools

Responsibilities :

- Proven experience in an SRE or infrastructure engineering role with a focus on monitoring, automation, and orchestration.

- Expertise in monitoring tools (Prometheus, ELK, Grafana etc,) with ability to optimize monitoring systems and integrate ML/AI models to improve visibility, anomaly detection, and proactive issue resolution.

- Extensive hands-on experience with automation tools such as Terraform, Ansible, and Jenkins, along with proficiency in CI/CD pipelines, to efficiently streamline and optimize network operations and workflows.

- Strong Linux administration skills.

- Good understanding of of Networking and Security domain, with the ability to critically analyse infrastructure designs and propose innovative improvements to enhance performance, reliability, stability and security.

- Extensive hands-on experience with automation tools such as Terraform, Ansible, and Jenkins, along with proficiency in CI/CD pipelines, to efficiently streamline and optimize network operations and workflows.

- Proficiency in scripting languages (Bash, Python, Go).

- Proficiency with containerization and orchestration (Docker, Kubernetes).

- Understanding of cloud platforms such as AWS, Azure, or Google Cloud.

- Familiarity with microservices architecture and distributed systems.

Experience :

- Candidate with 10+ years of experience.

- Proven experience in an SRE, DevOps, or infrastructure engineering role with a focus on monitoring, automation, and orchestration.

- Strong knowledge of Networking and Security domain, with the ability to critically analyse network designs and propose innovative improvements to enhance performance, reliability, stability and security.

- Expertise in monitoring tools (Prometheus, ELK) with ability to optimize monitoring systems and integrate ML/AI models to improve visibility, anomaly detection, and proactive issue resolution.

- Extensive hands-on experience with automation tools such as Terraform, Ansible, and Jenkins, along with proficiency in CI/CD pipelines, to efficiently streamline and optimize network operations and workflows.

- Proficiency in scripting languages (Bash, Python, Go).

- Proficiency with containerization and orchestration (Docker, Kubernetes).

- Understanding of cloud platforms such as AWS, Azure, or Google Cloud.

- Familiarity with microservices architecture and distributed systems.

- A fundamental grasp of AI tools will be an added benefit.

Soft Skills :

- Should be a team player.

- Good analytical and problem-solving skills.