Responsibilities & Deliverables:

• Guide the design and development of reusable Infrastructure as Code (IaC) components; create IaC test plans and execute testing across the lifecycle
• Deploy and support Cloud resources IaaS, PaaS, and/or SaaS, using infrastructure as code

via CICD pipeline, K8 using Helm. Write automation scripts for building, and deploying various products.

• Proactively identify procedures to streamline and automate the delivery process.
• Exposure to messaging pub/sub systems (eg: RabbitMQ)
• Automate routine tasks utilizing coding languages and tools. Preferred, but not limited, coding experience in PowerShell, Ansible, Python, and Terraform
• Recommended and documented policies, DevOps tools, branching and version control strategy & standards, quality strategies, and related industry best practices

• Implement new tools/develop/execute automation scripts for all environments
• Interact with Engineering/Operation Teams to build and manage the artifacts for production deployment
• Design, and manage Azure Kubernetes service infrastructure
• Manage Azure identities, and secrets
• Vulnerability and patch management and security based on established policies and procedures

• Managing and improving governance and solution configuration
• Create continuous environments as part of the overall Continuous Delivery objective as required by the Development and QA teams
• Collaborate extensively with other engineers to build tools and systems that support our services and allow engineers to deliver high-quality software.

Required /Preferred Experience

• Hands-on experience with Azure DevOps, various Azure Cloud Services.
• Experience with data transformation components such as Databricks, Analysis Services, Delta Lake
• Understanding of data transformation practices including: ETL, ELT, data modeling, data warehousing, and data lake. Understand data engineering process.
• Minimum 3-5 years’ experience working with Azure in a high-tech fast-paced environment
• Experience with platform technologies to include, Compute, Storage, Network, Data, Software, Observability

• Experience with automation tools (Ansible,Terraform or similar tool)
• Experience with Azure Repos, branching, code review and code analysis tool
• Proficient with Git, Git Flow and Azure DevOps
• Experience with Kubernetes and containerization technologies like Docker
• Knowledge of observability tools like EFK(Elastic, Filebeat & Kibana)

• Self-starter with the ability to balance many tasks with changing priorities. Proven ability to handle a wide variety of tasks and successfully prioritize work
• Must be detail-oriented and able to work independently with minimal supervision
• Good to have knowledge of PowerBI, Synapse, Data Factory

Qualification:

• 5+ years of hands-on experience
• Experience with provisioning and deploying SAAS-based applications in Azure
• Passion for solving operational technical challenges with scalable automated solutions to technical challenges
• Azure Certification in DevOps – Good to have
• Deep understanding of CI and containerization

• Commitment to improvement
• Start-up or fast-growing company experience is a plus