Job Title

Job Title: ITOPS / Observability AI Architect Job Summary We are seeking a highly experienced IT Operations (ITOPS) and Observability AI Architect to lead the design, development, and implementation of advanced observability and AIOps solutions for enterprise clients. The ideal candidate should have 10+ years of experience in technical development and architecture roles, with deep expertise in observability platforms, AIOps tools, cloud-native architectures (Azure/AWS), containerization, orchestration, and automation. This role requires a strong understanding of modern observability technologies, AI-driven operations, and the ability to architect scalable, intelligent systems that enhance operational efficiency and resilience. Key Responsibilities • Develop end-to-end observability and AIOps architectures for large-scale enterprise environments. • Define standards and best practices for monitoring, alerting, and automated remediation. • Drive the deployment and integration of observability platforms and AIOps tools across hybrid and multi-cloud environments. • Ensure seamless integration with ITSM, DevOps, and CI/CD pipelines. • Evaluate emerging technologies in observability and AIOps to recommend strategic adoption. • Design AI/ML-driven predictive analytics for proactive incident management and root cause analysis. • Work closely with clients, operations, and business teams to align architecture with organizational goals. • Mentor technical teams on observability and AIOps best practices. • Optimize system performance through advanced telemetry, distributed tracing, and anomaly detection. • Implement automated workflows for incident prevention and resolution.Experience & Qualifications • MCA, B.E degree in Computer Science, or related field. • 10+ years in IT architecture or technical leadership roles. • Proven expertise in observability tools (e.g., Dynatrace, Datadog, New Relic, Prometheus, Grafana) and AIOps platforms (e.g., Moogsoft, BigPanda, ServiceNow AIOps). • Strong experience with Azure/AWS cloud architectures, containerization (Docker), and orchestration (Kubernetes). • Hands-on experience with automation frameworks and infrastructure-as-code (Terraform, Ansible). • Hands-on experience in IT operations preferably with IT infrastructure and applications services Skills: • Deep understanding of monitoring, logging, distributed tracing, and telemetry. • Knowledge of AI/ML concepts applied to IT operations. • Excellent problem-solving, communication, and leadership skills • Good understanding and exposure to ITIL frameworks Preferred: • Certifications in cloud platforms (AWS/Azure), Kubernetes, or observability tools. • Experience in designing self-healing systems and predictive analytics for IT operations.