Middle DevOps Engineer

As a Middle DevOps Engineer at our company, your primary responsibilities include collaborating with a skilled team of DevOps engineers on designing and implementing new features, optimizing cloud infrastructure on Google Cloud Platform (GCP), leading observability initiatives through monitoring and logging solutions, and responding swiftly to production issues. Additionally, you'll be tasked with maintaining software processes and researching IT best practices, all of which support our goal of stable and scalable products.

To be considered for the Middle DevOps Engineer position at our company, you should ideally have over 3 years of direct experience in cloud infrastructure or software development, with at least 3 years of Kubernetes experience. Furthermore, you need 2 years with GCP or 3 years with AWS or Azure, along with programming skills in any scripting language. Practical knowledge of monitoring, logging, and alert configuration is also essential.

A Middle DevOps Engineer at our company should be familiar with tools such as Grafana, ElasticSearch, and various infrastructure-as-code tools like Terraform or Crossplane. You'll also benefit from knowledge in database technologies like PostgreSQL, Aerospike, and MongoDB, as well as CI/CD processes. Keeping abreast of high-scale, big-data distributed systems will help you thrive in this role.

When you join as a Middle DevOps Engineer, you'll enjoy a competitive compensation package, the flexibility of working remotely, and an annual performance bonus. We also offer English classes to bolster communication skills and generous maternity and paternity leave to support work-life balance. An international environment means you'll be surrounded by diverse perspectives, enriching your professional journey.

The Middle DevOps Engineer plays a crucial role in our company’s success by ensuring that our cloud infrastructure is robust and scalable. By implementing best practices and optimizing costs, you’ll help us deliver high-quality stable products while enhancing system performance. Your contributions in resolving production issues and promoting observability will be key in maintaining client trust and satisfaction.

When discussing your experience with cloud infrastructure, focus on specific projects you've worked on, the cloud platforms you have used (especially GCP, AWS, or Azure), and any challenges you faced. Highlight your familiarity with services like Kubernetes and explain how they were integrated into your projects. Emphasizing the impact of your contributions will showcase your expertise.

When answering this question, discuss the tools and methodologies you've employed for monitoring cloud resources. Mention specific platforms like Grafana or Open Telemetry, and detail how you've utilized logging and alerts to identify issues proactively. Share examples where your strategies led to cost reductions or improved performance, illustrating your analytical skills and technical abilities.

When recalling a time you resolved a production issue, aim to demonstrate your problem-solving skills. Use the STAR method (Situation, Task, Action, Result) to clearly articulate the scenario. Share what the issue was, how you approached it, any collaboration involved, and the positive outcome of your action. Highlighting your swift response and teamwork showcases your ability to thrive in fast-paced environments.

Discuss your experience in implementing CI/CD processes by explaining the tools you have used (e.g., Jenkins, Git, etc.). Give an example of a project where you set up automated testing and deployment pipelines, and describe the benefits it brought to the development cycle. Focus on how these practices improved code quality and reduced deployment time.

When addressing database performance, cite specific techniques you have applied, such as indexing, query optimization, and use of caching mechanisms. Discuss any tools you have used to monitor database performance like Elasticsearch. Provide a scenario where your optimizations led to noticeable improvements in the application's responsiveness or data processing capabilities.

Highlight your experience with infrastructure-as-code tools by discussing specific tools like Terraform or AWS CloudFormation you've used. Describe a project where you applied these tools to create and manage cloud resources efficiently. Emphasize how this practice contributed to consistency and reduced manual errors, showcasing your understanding of best practices in DevOps.

Share your proactive approach to staying informed about DevOps trends by mentioning professional resources such as blogs, webinars, or courses. You can also refer to communities and networking events that you engage with. Emphasize how this dedication enhances your skill set and benefits your team and company.

Discuss your methodology for cost optimization in cloud environments, including regularly reviewing resource utilization, rightsizing instances, and taking advantage of pricing models like spot instances. Cite specific examples where you successfully reduced costs and improved efficiency, demonstrating your analytical skills and focus on value generation.

Explain your experience with implementing monitoring and logging solutions by focusing on tools you've utilized, such as Grafana or Prometheus. Describe an instance where these solutions helped identify critical issues early on. Highlight the importance of these solutions in maintaining application health and user satisfaction.

When discussing critical skills, highlight a combination of technical and soft skills. Stress the importance of programming knowledge, familiarity with cloud platforms, and expertise in container orchestration with Kubernetes as key technical skills. Also, mention soft skills such as communication, teamwork, and adaptability, which enable effective collaboration in a DevOps culture.