Anblicks
Website:
anblicks.com
Job details:
Overview
We are seeking a hands-on DevSecOps & Observability Engineer with strong 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
Click on Apply to know more.