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Observability Engineer (AI Ops)

Observability Engineer (AI Ops)

GSPANNgurugram, India
14 hours ago
Job description

Description GSPANN is hiring an experienced Observability Engineer (AI Ops) with 12-15 years of expertise in monitoring, automation, and AI-driven operations. The role involves enhancing system reliability and performance through APM tools, cloud observability, scripting, and Site Reliability Engineering (SRE) practices.

Role and Responsibilities

  • Use Application Performance Management (APM) tools such as Dynatrace and LogicMonitor to monitor and enhance system performance.
  • Write and maintain automation scripts using Python and Bash to streamline monitoring and alerting processes.
  • Deploy and manage Splunk for log analysis, real-time monitoring, and root cause troubleshooting.
  • Operate and oversee Kubernetes clusters through Amazon Elastic Kubernetes Service (EKS) for high availability and scalability.
  • Implement observability solutions on Amazon Web Services (AWS) and Microsoft Azure to ensure cloud-based systems are monitored and well-managed.
  • Apply Site Reliability Engineering (SRE) principles to improve system resilience, scalability, and performance.
  • Incorporate AI and machine learning in observability workflows to enable predictive monitoring and boost operational efficiency.
  • Respond promptly to incidents and drive resolution efforts to minimize business disruptions.
  • Continuously analyze and tune system performance, using proactive monitoring and feedback loops.
  • Partner with development and operations teams to integrate observability tools and practices seamlessly across environments.

Skills and Experience

  • Hold a Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
  • Bring 12-15 years of experience in observability engineering or related technical roles.
  • Demonstrate advanced proficiency in APM tools (e.g., Dynatrace, LogicMonitor), scripting languages (Python, Bash), and Splunk.
  • Have hands-on experience working with EKS, AWS, and Azure platforms.
  • Show deep understanding of SRE concepts and how to apply them in production environments.
  • Exhibit strong problem-solving and communication skills.
  • Thrive in a fast-paced and dynamic environment.
  • Hold certifications such as AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, or equivalent.
  • Apply knowledge of AI and machine learning techniques in operational contexts.
  • Understand and utilize performance optimization frameworks and related best practices.
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    Observability Engineer • gurugram, India