Infrastructure Consultant

6 years

25 - 32 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

The ideal candidate will play a key role in

designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines

to support

scalable, secure, and high-performance data and analytics solutions

. This role requires strong expertise in

Azure, Databricks, and cloud-native DevOps practices

.

Key Responsibilities

  • Cloud Infrastructure Design & Management
  • Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.
  • Implement best practices across resource groups, virtual networks, storage accounts, etc.
  • Ensure cost optimization, high availability, and disaster recovery for business-critical systems.
  • Databricks Platform Management
  • Set up, configure, and maintain Databricks workspaces for data engineering, ML, and analytics workloads.
  • Automate cluster management, job scheduling, and performance monitoring.
  • Integrate Databricks seamlessly with Azure data and analytics services.
  • CI/CD Pipeline Development
  • Design and implement CI/CD pipelines for infrastructure, applications, and data workflows.
  • Work with Azure DevOps / GitHub Actions (or similar) for automated testing and deployments.
  • Drive continuous delivery, versioning, and monitoring best practices.
  • Monitoring & Incident Management
  • Implement monitoring and alerting with Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.
  • Diagnose and resolve issues to ensure minimal downtime and smooth operations.
  • Security & Compliance
  • Enforce IAM, encryption, network security, and secure development practices.
  • Ensure compliance with organizational and regulatory cloud standards.
  • Collaboration & Documentation
  • Work closely with data engineers, software developers, architects, and business teams to align infrastructure with business goals.
  • Maintain thorough documentation for infrastructure, processes, and configurations.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Must-Have Experience

  • 6+ years in DevOps / Cloud Engineering roles.
  • Proven expertise in:
  • Microsoft Azure (Azure Data Lake, Databricks, ADF, Azure Functions, AKS, Azure AD)
  • Databricks for data engineering / analytics workloads.
  • Strong experience applying DevOps practices to cloud-based data and analytics platforms.

Technical Skills

  • Infrastructure as Code (Terraform, ARM, Bicep).
  • Scripting (Python / Bash).
  • Containerization & orchestration (Docker, Kubernetes).
  • CI/CD & version control (Git, Azure DevOps, GitHub Actions).

Soft Skills

  • Strong analytical and problem-solving mindset.
  • Excellent communication and collaboration abilities.
  • Ability to operate in cross-functional and fast-paced environments.
Skills:- Terraform, Windows Azure, Python, Kubernetes and databricks

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