Azure Cloud DevOps Engineer

As an Azure Cloud DevOps Engineer at Odaseva, your main responsibilities will include designing and managing cloud infrastructure on Azure and AWS, implementing robust security measures, automating deployment processes through GitLab CI/CD, and establishing monitoring and logging solutions. You will also troubleshoot complex technical issues and collaborate closely with development, operations, and security teams to foster a spirit of continuous improvement.

To qualify for the Azure Cloud DevOps Engineer role at Odaseva, you should ideally hold a degree in Computer Science or a related field, have over 5 years of experience in a DevOps capacity, and possess deep expertise in Azure. Familiarity with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible is also essential, alongside scripting abilities in languages like Bash or Python.

Key skills for the Azure Cloud DevOps Engineer role at Odaseva include strong problem-solving capabilities, proficiency in automation tools, an understanding of monitoring and logging frameworks like Datadog, and effective communication and collaboration skills with team members across the organization. Additionally, knowledge of relational databases and NoSQL solutions will be advantageous.

Working at Odaseva as an Azure Cloud DevOps Engineer means joining a supportive and vibrant team that values Trust, Service, Commitment, Excellence, Kaizen, and One Team. You will collaborate with passionate individuals across our offices in San Francisco and beyond, contributing to a culture that prioritizes professional growth, continuous learning, and innovation in data security and management.

The Azure Cloud DevOps Engineer at Odaseva plays a vital role in maintaining data security by implementing and upholding security best practices across our cloud infrastructure. You will be proactive in monitoring for vulnerabilities, automating security protocols, and ensuring that data privacy regulations are met, all of which protect our organization’s assets and our clients' data.

In answering this question, highlight specific projects or roles where you utilized Azure. Discuss how you've designed or managed Azure-based infrastructures, made cost-efficient decisions, and implemented scalability. Use examples to illustrate your depth of expertise and how it aligns with Odaseva's objectives.

Share details about the automation tools you have experience with, such as GitLab CI/CD, Terraform, or Ansible. Provide scenarios in which you've used these tools to streamline processes or improve efficiency. Articulate the impact this had on application deployment and system performance.

Discuss your methodology for identifying and mitigating security risks in cloud environments. Reference specific security best practices, compliance standards you've adhered to, and any experience with security incident response, highlighting the importance of protecting data and applications.

Talk about the tools and techniques you use for cloud infrastructure monitoring. Mention real-world examples of how you've set up monitoring and logging solutions, the metrics you've tracked, and how you've used this data to address issues before they escalate into bigger problems.

Provide a detailed account of a challenging technical issue you faced, the steps you took to diagnose and resolve it, and the outcome. Focus on your problem-solving process, the tools you employed, and the collaboration with teammates required to achieve a successful resolution.

Highlight your communication practices and tools you utilize to promote collaboration, such as regular stand-ups, shared documentation, or project management tools. Discuss how you've built relationships between teams to foster a culture of collaboration and efficiency.

Explain your understanding of Infrastructure as Code and its significance in modern DevOps practices. Describe your experience with IaC tools like Terraform or CloudFormation and provide examples of how you've implemented these practices to achieve consistency and efficiency in infrastructure management.

List the scripting languages you are comfortable with, such as Bash or Python. Provide examples of instances in which you've created scripts to automate tasks, manage infrastructure, or troubleshoot issues, showcasing your ability to simplify complex processes.

Express your commitment to continuous learning by mentioning resources like online courses, webinars, technology blogs, or community forums. Discuss any recent trends or developments you've followed and how you plan to integrate new knowledge into your work at Odaseva.

Articulate your interest in Odaseva and the Azure Cloud DevOps Engineer position by highlighting the company's mission and values. Discuss aspects of its data security solutions that excite you and how your skills and experience align with the team dynamics and company goals.