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Lead Cloud Engineer

Actively Reviewing the Applications

Anblicks

India, Telangana, Hyderabad Full-Time
Posted 1 day ago • Apply by June 29, 2026

Job Description

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

Required Skills

Salesforce Quality Assurance Python DevSecOps Snowflake Microsoft Azure Terraform Azure Functions Azure DevOps DevOps CI/CD Cloud Engineering Anomaly detection Hybrid Cloud Adobe Illustrator Data pipelines Code quality Dependency management Infrastructure as Code Observability Code review LLM Azure Monitor Azure Logic Apps AI integration
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