AIops Platform Engineer (Bengaluru)

AIops Platform Engineer (Bengaluru)

03 Oct
|
Artizent
|
Bengaluru

03 Oct

Artizent

Bengaluru

Position: CloudOps Platform Engineer

Exp: 5-9 Years

Location: Bangalore [Bagmane Tech Park, C.V. Raman Nagar]

Work mode: 2 Days WFO

Mandatory Skills

Artifical Intelligence, AI Ops, Cloudops, Azure, Terraform, Azure DevOps, Ci / Cd Tools, Yaml, Azure Kubernetes, Python

Role & Responsibilities

Platform Engineering & Leadership

- Own and drive Azure platform architecture, roadmap, and engineering standards.
- Define reusable platform services, golden paths, and self-service capabilities.
- Act as the technical authority and escalation point for platform engineering and CloudOps integrations.
- Lead platform modernization and operational excellence initiatives.

AIOps & Observability

- Define and implement AIOps strategy for Azure CloudOps environments.
- Drive:
- Alert correlation & noise reduction
- Predictive analytics & anomaly detection
- Automated remediation using APIs and Python

- Standardize observability data for automation and analytics consumption.
- Continuously improve MTTR, reliability, and operational efficiency.

Azure Infrastructure & Infrastructure as Code (IaC)

- Architect and govern enterprise-scale Azure infrastructure using Terraform.
- Implement secure and scalable landing zones, networking, identity, and governance models.
- Review and standardize Terraform modules for scalability, security, and operational readiness.

CI/CD & Automation Engineering

- Define enterprise CI/CD standards using Azure DevOps YAML pipelines.
- Automate deployment and operational workflows.




- Integrate infrastructure automation into DevOps processes.

API Integration & Platform Connectivity

- Lead integrations across:
- Azure Services (ARM, AKS, Azure Monitor, Log Analytics, Key Vault)
- Azure DevOps (Pipelines, Repos, Artifacts, Boards)
- Observability Platforms (Grafana, Prometheus, Loki)
- ITSM Platforms (ServiceNow, Incident/Ticketing Tools)

- Develop API-driven automation workflows using Python, REST APIs, Webhooks, and event-driven architecture.
- Standardize authentication, authorization, and secrets management practices.
- Ensure integrations are secure, resilient, observable, and automation-ready.

Kubernetes & Cloud-Native Engineering

- Provide leadership for AKS architecture and operations.
- Define standards for:
- Networking
- Security
- Scaling
- Cluster lifecycle management

- Guide teams on Helm deployments and cloud-native best practices.

Cross-Functional Leadership

- Mentor and lead platform/cloud engineers.
- Collaborate with Security, SRE, FinOps, and CloudOps teams.
- Create SOPs, runbooks, API contracts, and operational documentation.

BAU Operations & Support

- Own platform stability, reliability, and CloudOps BAU activities.
- Participate in rotational on-call support and lead production escalations involving:
- AKS
- Azure Infrastructure
- CI/CD Failures

- Drive RCA, post-incident reviews, and operational improvements.
- Automate recurring operational tasks using Python, APIs, and CI/CD workflows.
- Enable shift-left operations through automation and AIOps adoption.

📌 AIops Platform Engineer (Bengaluru)
🏢 Artizent
📍 Bengaluru

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