Production Support / DevOps Engineer

You are curious, proactive, and solutions-oriented , with a strong desire to learn and grow.

You enjoy investigating issues and turning complex problems into practical solutions.

You are comfortable balancing operational support responsibilities with continuous improvement initiatives.

You thrive in collaborative environments and enjoy working with developers, cloud engineers, and business stakeholders.

You take ownership of incidents, follow through on commitments, and maintain a strong sense of accountability.

You remain calm and structured when working in fast-paced production environments.

You value continuous learning and are interested in building a long-term career in DevOps, Cloud Operations, and Platform Engineering .

You communicate clearly and effectively across technical and non-technical audiences.

Exposure to Azure services, such as Blob Storage , SQL Server, or Static Web Apps .

Familiarity with Snowflake or willing to upskill.

Experience with monitoring and observability tools, especially Dynatrace .

Basic knowledge of Apache Kafka .

Familiarity with Unix/Linux fundamentals and with software tools like ReactJS and Terraform

Experience working in consulting , international, or multicultural environments.

You take ownership of production issues and work proactively to drive resolution.

You combine a support mindset with a continuous improvement approach.

You learn quickly and become increasingly autonomous in managing complex environments.

You communicate effectively during incidents, ensuring stakeholders remain informed and aligned.

You collaborate naturally with developers, cloud engineers, and operational teams.

You remain calm under pressure and can prioritise effectively in a dynamic environment.

You leverage monitoring data and operational insights to improve reliability and performance.

You actively contribute knowledge, documentation, and best practices that benefit the wider team.

You are motivated to expand your expertise across Cloud, DevOps, Platform Operations, and Site Reliability practices .

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers. To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews . AI is never used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information , the use of AI tools by candidates during the recruitment process is strictly prohibited .

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.