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Senior Azure Cloud Platform & DevOps Engineer

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Onsite

Senior Azure Cloud Platform & DevOps Engineer

Cloudethix Solutions

Senior Azure Cloud Platform & DevOps Engineer

Skills

Data EngineeringPythonMicroservicesDatabricksGrafanaData AnalysisAIAWSGitHubKubernetesComplianceTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹1,000,000 / year

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


Role & responsibilities

  • Design, implement, and manage scalable, secure, and highly available cloud infrastructure across Azure and AWS.
  • Build reusable Infrastructure as Code (IaC) modules using Terraform, Bicep, or ARM templates.
  • Manage networking components including VPC/VNet, DNS, VPN, Routing, Load Balancers, Firewalls, NSGs, and hybrid connectivity.
  • Optimize cloud infrastructure for performance, scalability, resilience, and cost efficiency.
  • Design and maintain enterprise-grade CI/CD pipelines using Azure DevOps and GitHub Actions.
  • Automate infrastructure provisioning, deployments, patching, compliance checks, and operational workflows.
  • Develop automation scripts and tooling using Python, Bash, or PowerShell.
  • Implement centralized monitoring, alerting, logging, and dashboards using Azure Monitor, Application Insights, Log Analytics, Grafana, or similar tools.
  • Perform root cause analysis (RCA), troubleshoot production incidents, and improve platform reliability.
  • Implement cloud security best practices including identity management, secrets handling, encryption, WAF, and secure networking.
  • Conduct vulnerability remediation, security reviews, and cloud compliance assessments.
  • Work closely with development teams to support cloud-native deployments, APIs, and microservices-based applications.
  • Create and maintain technical documentation, architecture diagrams, deployment guides, and operational runbooks.
  • Mentor junior engineers and contribute to engineering standards and best practices.
  • Take ownership of infrastructure operations and drive automation-first engineering practices.

Preferred candidate profile

  • Bachelors degree in Computer Science, Engineering, or related field.
  • 4+ years of hands-on experience in Cloud Infrastructure, Platform Engineering, DevOps, or SRE roles.
  • Strong experience with Microsoft Azure; AWS exposure is preferred.
  • Strong hands-on experience with Infrastructure as Code (Terraform preferred, Bicep/ARM acceptable).
  • Experience building and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Good scripting and automation skills using Python, Bash, or PowerShell.
  • Strong understanding of networking fundamentals including VPC/VNet, DNS, Routing, VPN, Load Balancing, and Firewalls.
  • Strong understanding of cloud security principles and governance best practices.
  • Experience handling production incidents, troubleshooting, monitoring, and operational ownership.
  • Familiarity with observability and monitoring platforms.
  • Experience working with APIs, microservices, and distributed systems.
  • Ability to independently drive technical initiatives with minimal supervision.
  • Strong analytical, troubleshooting, communication, and collaboration skills.
  • Certifications such as Azure Administrator Associate, Azure DevOps Engineer, Azure Security Engineer, or AWS Associate-level certifications are preferred.

Nice to have

  • Experience with GitHub Actions / Azure DevOps and advanced deployment automation.
  • Experience with cloud governance, policy management, and security tooling.
  • Strong familiarity with Databricks enterprise platform deployments and data engineering integrations.
  • Understanding of secure Databricks architecture including VNet injection, Private Link, Unity Catalog, managed identities, cluster policies, and workspace governance.
  • Experience integrating Databricks with CI/CD, monitoring, cloud storage, and enterprise security controls.
  • Experience with GitHub Actions and advanced deployment automation.
  • Exposure to AI-assisted automation, intelligent operational tooling, or agentic engineering workflows.
  • Knowledge of REST APIs, event-driven systems, and microservices architecture.
  • Experience with Kubernetes / AKS.
  • Knowledge of monitoring and observability tools such as Grafana and Log Analytics.

Perks and benefits

  • Opportunity to work on modern cloud transformation and platform engineering initiatives.
  • Exposure to enterprise-scale cloud, automation, and security projects.
  • Clear career growth opportunities into architecture, platform engineering, and technical leadership roles.
  • Flexible and engineering-focused work culture.
  • Access to modern tooling, certifications, and continuous learning opportunities.
  • Work with the latest cloud, DevOps, automation, and observability technologies.
  • Performance-based incentives and recognition.

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