Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Microsoft Azure IaaS

Good to have skills : Microsoft Azure PaaS

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : BTECH

JOB SUMMARY:

The Azure Systems Engineer will play a key role in designing, implementing, and maintaining cloud infrastructure, with a strong emphasis on deploying cloud-native solutions and governance controls within the Microsoft Azure platform. This position requires a candidate with proven experience in project delivery and operational support for automation platforms, ideally within a collaborative Agile environment.

The successful candidate will be responsible for:

Developing and delivering production-grade tooling that prioritizes performance, reliability, and scalability, while ensuring the security and stability of the cloud operating environment.
Supporting development efforts in their time-zone by providing infrastructure/security frameworks and oversight
Examining new technologies in Azure and their place in cloud ecosystem.
Working with US-based engineers to ensure broad coverage of issues and to provide insight into our Azure-adoption strategy.

ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES:

Work with Development, Cloud Engineering, and Architecture teams to design and implement the Cloud Engineering team s Azure roadmap.
Leverage IaC tooling (Terraform/Terragrunt/Github Actions) to deliver infrastructure and governance effectively and at scale.
Efficiently implement base Azure infrastructure across Development, Stage, and Production accounts.
Support and educate internal customers as they become more familiar with Azure.
Implement automation, processes, and tooling to enable development teams to leverage Azure cloud platform capabilities.
Advise on Azure cloud automation and deployment strategies, container-based solutions, and automation technologies.
Understanding of Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI, Bot Services) and ability to integrate these into cloud solutions.
Provide architecture, design, and implementation guidance for Azure base infrastructure and systems (Authentication, Networking, Permissions, Cost Management, AKS, etc.).
Play a key role in designing, implementing, and maintaining cloud infrastructure, with emphasis on deploying cloud-native solutions and governance controls within Microsoft Azure.
Local representation of the Cloud Engineering and Governance team, bringing new issues and solutions to the broader team for resolution or adoption.

EDUCATION & TRAINING:

5+ years of experience in Azure cloud
Solid experience with Software as a Service (SaaS) environments, including architecture, deployment, and management.
Hands-on experience with automated build and integration tools (e.g., Jenkins, GitHub Actions, Azure DevOps, Helm).
Proficient in systems administration across Linux, Windows, and virtualized environments Azure experience required, AWS experience a plus.
Ability to design, deploy, and manage operating systems and applications on Azure familiarity with AWS is beneficial.
Strong background in scripting and automation using languages such as Python, PowerShell, Bash, or Terraform.
Experience implementing infrastructure automation and configuration management tools and techniques.
Proficient with Kubernetes deployment, high availability operations, and security.
Experience with Docker-based designs, deployments, and container management.
Experience using Infrastructure as Code (IaC) to manage AKS development and production environments.
Demonstrated ability to design and deploy Azure, AWS, and other cloud services with an IaC mindset.
Proven track record of contributing to large-scale cloud native applications on Azure.
Ability to mentor and guide junior engineers on Azure best practices.
Bachelor s degree in Computer Science, Information Technology, or a related technical field preferred., BTECH