DevOps Engineer

As a DevOps Engineer at Atomic Machines, your responsibilities will include architecting and deploying infrastructure as code, developing and optimizing CI/CD pipelines for efficient software delivery, and collaborating closely with hardware and firmware teams to establish a hardware-in-the-loop test environment. Additionally, you'll implement security best practices and monitor system performance to ensure everything runs smoothly.

To qualify for the DevOps Engineer position at Atomic Machines, candidates should possess over 10 years of industry experience in DevOps, a B.S. in Computer Science or a related field, and proficiency with tools like Git, Jenkins, Docker, and Kubernetes. Additionally, expertise in scripting languages, a solid understanding of the Linux operating system, and familiarity with infrastructure-as-code tools are also important.

Atomic Machines utilizes a diverse technology stack that includes programming languages such as C/C++, Go, and Python, primarily for embedded real-time applications, networked application software, and AI/ML processes. Our deployment targets are Dockerized, general-purpose Linux application services, both in cloud and on-prem environments.

Experience with cloud services is crucial for the DevOps Engineer role at Atomic Machines, as you'll be expected to work with both cloud and on-premises environments. Familiarity with cloud deployments will enable you to manage and optimize our systems effectively, ensuring that we maintain high standards of performance and scalability in our infrastructure.

The culture at Atomic Machines is innovative and collaborative, especially for the DevOps Engineer role. We thrive on teamwork and creativity, encouraging our engineers to share their insights and propose new technologies and practices. It's a friendly workspace where your contributions will directly impact our mission in micromanufacturing and technology.

In your response, focus on specific projects where you developed or optimized CI/CD pipelines. Discuss the tools you've used, such as Jenkins or GitLab CI, and share how your contributions led to improved efficiency and reliability in the software delivery process.

Outline your approach to implementing security best practices, mentioning regular assessments, monitoring, and the tools you use for securing the infrastructure. Share examples of how you've identified vulnerabilities and mitigated risks in past roles.

Discuss the monitoring and logging tools you've used, such as Prometheus or ELK stack, and explain how you set them up to proactively identify and troubleshoot issues. Highlight any incidents where your monitoring approach significantly reduced downtime.

Talk about your experience evaluating new tools and how you'd approach integrating them into the existing workflow. Emphasize how you collaborate with team members to ensure the transition is smooth and enhances overall efficiency.

Explain your thought process when designing infrastructure as code, including considerations around scalability, maintainability, and reusability. Discuss tools you've used like Terraform and highlight the principles that guide your design decisions.

Share a real-life example where you encountered a significant challenge—perhaps a critical system failure or deployment issue. Describe the actions you took to troubleshoot the issue, the lessons learned, and any changes you made to prevent future occurrences.

Discuss your ongoing learning strategies, such as following industry blogs, participating in webinars, and engaging with the DevOps community. Highlight any recent tools or practices you've adopted that showcase your commitment to personal and professional growth.

Emphasize the importance of communication and teamwork. Describe techniques you use for fostering collaboration, such as regular meetings or shared documentation, and how these practices have led to better alignment and smoother project deliveries in past experiences.

Discuss key metrics you monitor (e.g., uptime, response time) and the tools you use for performance evaluation. Explain how your analysis leads to proactive improvements and ultimately enhances the user experience, showcasing specific instances where this was effective.

Talk about your belief in automation as a means to increase efficiency and reduce human error. Provide examples of automated processes you've implemented and the positive impact they had on your workflow and project outcomes.