Senior DevOps Engineer - Observability (Remote, Poland)

As a Senior DevOps Engineer - Observability at Nearform, you will be responsible for developing infrastructure that supports cloud-based applications and creating deployment architectures. You'll also design high-availability approaches and implement comprehensive monitoring architectures using tools like Grafana or Datadog. Collaborating with various teams, you'll play a pivotal role in translating complex business needs into effective digital solutions.

The essential skills for this position include proficiency in English communication, experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with observability tools. You should also possess a solid understanding of security practices across CI/CD pipelines, be proficient in containerization technologies, and have experience in both RDBMS and NoSQL databases. Collaboration and communication skills are crucial, especially in client-facing interactions.

At Nearform, you'll be part of a vibrant remote work environment that encourages collaboration and innovation. With a team spread across 20+ countries, you’ll engage with experts from diverse backgrounds while enjoying the flexibility of remote work. Our culture emphasizes agility, transparency, and a strong sense of community, making it an ideal setting for a Senior DevOps Engineer - Observability.

The application process for the Senior DevOps Engineer - Observability position at Nearform typically involves a video interview with a recruiter, followed by a technical assessment with a member of the hiring team. Additionally, there may be a video call with one of our Hiring Managers to discuss your technical background and interests in more detail. Background checks will also be conducted for prospective candidates.

Inclusion is a core value at Nearform. We embrace diversity and ensure that opportunities for the Senior DevOps Engineer - Observability position are open to all, regardless of race, religion, gender identity, sexual orientation, or disability status. We believe that a diverse team enriches our work environment and drives innovation!

When creating a deployment pipeline, I focus on understanding the application lifecycle and the requirements for continuous integration and delivery. I prioritize automation and aim for seamless integration with testing tools to ensure high quality, and I'd describe how I leverage technologies such as Jenkins or GitLab CI for this process.

I believe observability tools offer critical insights into application performance and user experience. In my previous projects, I've utilized Grafana for creating meaningful dashboards to visualize data and Prometheus for alerting based on service metrics, which has enabled proactive problem resolution and improved system reliability.

My experience with infrastructure as code has primarily involved tools like Terraform and AWS CloudFormation. I’d explain how these tools help in automating and managing cloud resources efficiently, allowing consistency across environments and improving deployment speed.

To ensure security in CI/CD pipelines, I incorporate security testing at every stage of the pipeline, use secrets management tools to handle sensitive data, and conduct regular audits. I’d share my experiences with tools such as SonarQube for static code analysis and Aqua Security for container security.

I approach debugging in cloud-based applications by first gathering logs and monitoring metrics to ascertain the root cause of an issue. Utilizing tools like CloudWatch or ELK Stack helps visualize this data. I’d highlight key experiences where I resolved production issues swiftly through detailed investigation.

In one project, I led the migration of a legacy application to a microservices architecture while implementing CI/CD processes. This resulted in reduced deployment times by 75% and improved application scalability. Sharing success stories showcases how my skills directly contributed to the project's success.

Key performance indicators I track include deployment frequency, change lead time, mean time to recovery (MTTR), and change failure rate. I believe measuring these KPIs helps track the effectiveness of DevOps practices and identify areas for improvement.

In client-facing situations, I believe communication is key. I seek to understand the client's perspective fully and provide insights based on data and experience. During disagreements, maintaining professionalism and focusing on the project goals helps facilitate a constructive dialogue.

I have worked extensively with AWS, Azure, and GCP. My decision-making process involves assessing project requirements, considering factors such as scalability, budget, and existing infrastructure. I prioritize services that align with the project's objectives.

I stay updated by following industry blogs, attending webinars, and participating in community forums like DevOps Reddit or Stack Overflow. Continuous learning is crucial in the fast-evolving tech landscape, and I regularly pursue online courses to deepen my skills.