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
