The Role
Build and manage secure Azure cloud infrastructure, Python-based CI/CD pipelines, Terraform modules, and hybrid observability solutions. Configure Azure Monitor, Log Analytics, alerts, KQL queries, and synthetic monitoring across Azure, on-premises, and third-party integrations. Develop AI-enabled automation for pull request reviews, dependency and SBOM analysis, anomaly detection, and reporting. Troubleshoot pipelines, close monitoring gaps, and create scalable, governed automation across development, QA, and production environments.
Summary Generated by Built In
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
- 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
- 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)
- Implement synthetic monitoring for critical workflows and APIs
- Ensure visibility across hybrid and third-party integrations
- Monitor data pipelines and external dependencies proactively
- 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
- Provision and manage Azure resources using Terraform
- Maintain reusable and modular infrastructure code
- Ensure consistency across environments (Dev, QA, Prod)
- Azure Cloud (VMs, Functions, Logic Apps, Storage)
- Azure DevOps (Boards, Repos, Pipelines)
- Strong Python scripting for automation and integrations
- Secure CI/CD pipeline implementation
- PR validation, branching strategies, repo governance
- SBOM, dependency management (custom logic is fine)
- Azure Monitor & Log Analytics
- KQL (must-have)
- Alerting and monitoring design
- Experience monitoring or integrating with:
- SnapLogic
- Snowflake
- Salesforce
- On-prem systems
- Terraform (Azure-focused)
- 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)
- 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
Skills Required
- Experience designing and managing Azure infrastructure, including Virtual Machines, Azure Functions, Logic Apps, and Storage Accounts
- Experience with Azure DevOps Boards, Repos, and Pipelines
- Strong Python scripting for automation and integrations
- Experience implementing secure CI/CD pipelines, pull request validation, branching strategies, repository governance, SBOM checks, and dependency management
- Experience with Azure Monitor and Log Analytics
- Strong KQL skills
- Experience designing alerting and monitoring solutions
- Experience monitoring or integrating SnapLogic, Snowflake, Salesforce, and on-premises systems
- Experience with Terraform for Azure infrastructure as code
- Experience with AI or LLM integrations
- Experience with synthetic monitoring tools or frameworks
- Exposure to hybrid cloud environments
- Basic understanding of FinOps and cost visibility
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
