What are the responsibilities and job description for the Lead Cloud Engineer (Azure DevOps) with Terraform and Kubernetes - W2 Role position at Info Dinamica Inc?
Job Details
Role: Lead Cloud Engineer (Azure DevOps) with Terraform and Kubernetes
Location: San Jose, CA (Hybrid Onsite) - Minimum of 2 days a week at the office, with flexibility to come more days if events or workload require it
Job Type: W2 Contract
Mandatory Skills:
Lead Experience, Terraform Experience writing own templates, Kubernetes,IaaS, PaaS
Job Mission:
- A Cloud Engineer plays a critical role in ensuring efficient development and operations by balancing service reliability with delivery speed.
- They leverage the Microsoft Azure platform to design and implement software delivery pipelines, deploy and monitor services, and manage incidents effectively - always learning from them to improve system resilience and performance.
- This role is part of the Cloud Center of Excellence (CCoE).
Responsibilities:
- Develop solutions using modern programming (scripting) language for automation of build tasks (PowerShell, arm/bicep, YAML, terraform and/or C# would be a plus)
- Build and deploy resources using Infrastructure-as-Code
- Develop solutions using Azure DevOps
- Operations task, using cloud native tools, like Log Analytics, Azure Monitor and Azure Security Center or other monitoring tooling
- Deliver/update documentation (e.g. product descriptions, operational tasks) on CCoE wiki
- Be part of a multidisciplinary DevOps team which takes ownership of both new development and operational activities.
- Implement tasks related to network platform operations
Looking for the experience with:
- Configuring and using IaaS (like Virtual Machines)
- Configuring and using PaaS (like WebApp, Database services, Kubernetes, Data Lake, Databricks etc.).
- Networking principles and protocols such as IP subnetting, Network Security Groups, routing, Azure Firewall, ExpressRoute, load balancer, DNS, etc.
- Engineering and coding skills applied in an agile way
- Working with Azure DevOps for automated deployments.
- Always have costs and security in mind when creating new products or solutions.
- Understand the concepts of Site Reliability Engineering (SRE) to maximize automation, reduce waste, increase scale and apply systemic thinking
- Working with Azure cloud native tooling
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.