Job highlights

- Preferred: Certifications in cloud platforms (AWS / Azure),Kubernetes,or observability tools
- Hands-on experience in IT operations preferably with IT infrastructure and
- Experience Qualifications
- Strong experience with Azure / AWS cloud architectures,containerization (Docker),
- Hands-on experience with automation frameworks and infrastructure-as-code

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

Positive 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 ITOPS / Observability AI Architect (Hubballi)
🏢 Redolent
📍 Hubballi