Senior Azure Cloud Platform & DevOps Engineer

Cloudethix Solutions

Pune District

On-site

INR 1,400,000 - 2,800,000

Full time

14 days+

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Benefits offered by this job

Career growth opportunities
Certifications & learning
Flexible, engineering-focused culture
Access to modern tooling & platforms

Job summary

Cloudethix Solutions in Pune is seeking a Senior Cloud Infrastructure Engineer to design, implement, and manage scalable cloud platforms on Azure (with AWS exposure). You will build IaC modules, manage networking, CI/CD pipelines, automation, and monitoring while driving security and reliability across distributed systems.

The role requires 4+ years in Cloud Infrastructure/DevOps, strong scripting skills, and a proactive, collaborative mindset.

Qualifications

  • Bachelor's degree or equivalent in CS/engineering.
  • 4+ years in Cloud Infrastructure, Platform Eng, DevOps or SRE.
  • Strong Azure experience; AWS exposure acceptable.
  • Hands-on with IaC (Terraform preferred; Bicep/ARM acceptable).
  • Experience building CI/CD pipelines (Azure DevOps or GitHub Actions).
  • Scripting skills: Python, Bash, PowerShell.
  • Strong networking fundamentals (VPC/VNet, DNS, VPN, routing, firewalls).
  • Knowledge of cloud security and governance best practices.
  • Incident handling, monitoring, and observability experience.
  • Experience with APIs, microservices, distributed systems.
  • Ability to drive technical initiatives independently.
  • Certifications (Azure/AWS) preferred.

Responsibilities

  • Design and manage scalable cloud infrastructure on Azure and AWS.
  • Create reusable IaC modules (Terraform, Bicep, ARM).
  • Manage VPC/VNet, DNS, VPN, routing, load balancers, firewalls, NSGs, hybrid connectivity.
  • Optimize performance, scale, resilience, and cost.
  • Build CI/CD pipelines with Azure DevOps or GitHub Actions.
  • Automate provisioning, deployments, patching, and compliance checks.
  • Develop automation scripts (Python, Bash, PowerShell).
  • Set up monitoring with Azure Monitor, Logs, Grafana, or similar.
  • Troubleshoot incidents and improve platform reliability.
  • Implement cloud security and vulnerability remediation.
  • Collaborate with dev teams for cloud-native deployments.

Skills

Azure
Terraform
Python
Bash
PowerShell
Networking
CI/CD
Observability
Automation
SRE

Education

Bachelor's degree in Computer Science/Engineering

Tools

Terraform
Bicep/ARM
Azure DevOps
GitHub Actions
Grafana
Log Analytics
Databricks
Kubernetes/AKS

Job description

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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