Technical Architect - Site Reliability

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 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 :
• Candidate with below 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.
• Familiarity with basic AI tools is considered an advantage.

(ref : hirist.tech)