Azure DevOps Engineer (Temporary Contract)

Gurugram, IndiaFull-time

Job Description

About You

You are a DevOps Engineer who enjoys designing, building, and evolving modern software delivery ecosystems. You are motivated by improving infrastructure reliability, deployment efficiency, and engineering productivity through automation and cloud-native practices.

You feel comfortable working in Azure-based environments, enabling scalable infrastructure and CI/CD processes while collaborating with distributed teams. You are curious about emerging AI-assisted engineering workflows and open to integrating these tools into your day-to-day DevOps practice.

  • Note: This position is offered under a contractor model for an initial period of 6 months, with the possibility of extension.
    This role requires the ability to work onsite at the Gurgaon office two days per week.

You Bring to Applaudo the Following Competencies:

  • 4+ years of professional experience in DevOps, SRE, or infrastructure engineering roles.
  • Hands-on experience with Terraform and Infrastructure as Code practices.
  • Strong exposure to Azure cloud services, including networking, databases, and identity management.
  • Experience managing CI/CD pipelines using GitHub Actions and/or Azure DevOps.
  • Working knowledge of Docker and Kubernetes.
  • Experience with identity and access management solutions such as Entra ID and Okta.
  • Proficiency in scripting using Bash, PowerShell, or Python.
  • Experience with monitoring and observability tools such as Datadog or Azure Application Insights.
  • Exposure to application deployments across modern stacks (e.g., React, Python, SQL-based environments).
  • Familiarity with AI-assisted development tools such as Cursor, Claude, Codex, or GitHub Copilot (nice to have).
  • Understanding of cloud governance and multi-environment setups (nice to have).
  • AWS knowledge or exposure (nice to have).
  • Relevant certifications such as Azure Administrator or Terraform Associate (nice to have).

You Will Be Accountable for the Following Responsibilities:

  • Contribute to the design, implementation, and continuous improvement of cloud infrastructure and deployment pipelines.
  • Develop and maintain Infrastructure as Code using Terraform and automation platforms such as env0.
  • Manage and optimize Azure cloud services, including networking, identity, and platform components.
  • Design, implement, and maintain CI/CD workflows that enable reliable and scalable software delivery.
  • Enable monitoring, observability, and performance optimization using tools such as Datadog and Azure Application Insights.
  • Collaborate with engineering teams to support application deployments and improve overall delivery processes.

Qualifications

  • 4+ years of hands-on experience in DevOps or infrastructure engineering roles.
  • Proven experience with Terraform and Infrastructure as Code practices.
  • Hands-on experience working with Microsoft Azure cloud environments.
  • Experience managing CI/CD pipelines using GitHub Actions or Azure DevOps.
  • Experience working with Docker and Kubernetes.
  • Conversational English proficiency.

Additional Information

About Us

We Are Engineered Different.

At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.