Overview We are seeking a hands-on DevSecOps & Observability Engineer with robust experience in Azure cloud, secure CI/CD pipelines, and monitoring systems. The ideal candidate will also contribute to AI-driven automation , enhancing code quality, security, and observability insights.

This role focuses on building secure, observable, and automated platforms across cloud and hybrid environments.

Key Responsibilities

Azure Cloud Engineering

- Design and manage Azure infrastructure, including:

- Virtual Machines (VMs)

- Azure Functions

- Logic Apps

- Storage Accounts
- Ensure secure and scalable configurations across services
- Integrate cloud resources with monitoring and CI/CD pipelines

DevOps & Secure CI/CD
- Design and implement Python-based secure CI/CD pipelines in Azure DevOps

- Manage
- Azure DevOps Boards (work tracking & workflows)
- Repos with best practices (branching strategy, PR policies)

- Implement

- PR validation pipelines

- Secure code review automation

- Dependency and SBOM checks
- Maintain pipeline efficiency and governance

Observability & Monitoring
- Build and manage monitoring solutions using:

- Azure Monitor

- Log Analytics Workspace

- Alerts and Action Groups
- Develop KQL queries for insights and troubleshooting

- Integrate monitoring across

- Azure VMs

- Azure Functions

- Logic Apps
- On-premise VMs
- External platforms (e.g., SnapLogic, Snowflake, Salesforce)

Synthetic & Integration Monitoring
- Implement synthetic monitoring for critical workflows and APIs
- Ensure visibility across hybrid and third-party integrations
- Monitor data pipelines and external dependencies proactively





AI Integration & Automation
- Develop scripts (primarily Python) to integrate AI into:

- Pull Request review processes

- SBOM and dependency analysis
- Observability insights and anomaly detection
- Enhance existing automation frameworks with AI capabilities
- Work on intelligent insights and reporting mechanisms

?️ Infrastructure as Code (Terraform)
- Provision and manage Azure resources using Terraform
- Maintain reusable and modular infrastructure code
- Ensure consistency across environments (Dev, QA, Prod)

Required Skills Core Technologies

- Azure Cloud (VMs, Functions, Logic Apps, Storage)
- Azure DevOps (Boards, Repos, Pipelines)

Programming
- Strong Python scripting for automation and integrations

DevSecOps
- Secure CI/CD pipeline implementation
- PR validation, branching strategies, repo governance
- SBOM, dependency management (custom logic is fine)

Observability
- Azure Monitor & Log Analytics
- KQL (must-have)
- Alerting and monitoring design

Integrations
- Experience monitoring or integrating with:

- SnapLogic

- Snowflake

- Salesforce
- On-prem systems

IaC
- Terraform (Azure-focused)

Good to Have
- Experience with AI/LLM integrations (e.g., PR review bots)
- Synthetic monitoring tools or frameworks
- Exposure to hybrid cloud environments
- Basic understanding of FinOps (cost visibility is a plus)

Ideal Candidate Profile
- Strong hands-on engineer (not just design-level)
- Can write scripts, debug pipelines, and fix monitoring gaps
- Comfortable working across multiple layers (cloud + DevOps + monitoring)
- Able to build custom solutions, not rely only on tools
- Thinks in terms of automation first

📌 Lead Cloud Engineer (Hyderabad)
🏢 Anblicks
📍 Hyderabad