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DevOps Engineer

Synerise S.A.

⚲ Kraków, Krowodrza

12 000–20 000 zł netto (+ VAT) / mies.

Wymagania

  • Kubernetes
  • Google Cloud Platform
  • Linux
  • Microsoft Azure
  • DevSecOps solutions
  • Kafka

Opis stanowiska

Nasze wymagania: Experience working with production systems in cloud environments (Azure preferred). Good understanding of Linux systems and basic networking concepts. Familiarity with CI/CD pipelines and Infrastructure as Code tools. Hands-on experience with Kubernetes or container-based platforms. Willingness to take responsibility for the quality and stability of systems you work on. Practical, problem-solving mindset and openness to learning new technologies. Mile widziane: Exposure to data-heavy or event-driven systems (e.g. Kafka, multi-terabyte databases). Basic knowledge of monitoring, alerting, and observability practices and tooling. Interest in system performance, reliability, or cloud cost efficiency. Awareness of security considerations in cloud and infrastructure environments. Exposure to infrastructure handling large traffic volumes and data throughput. O projekcie: Having such great solutions, we are looking for a highly motivated DevOps Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. Zakres obowiązków: Maintain and develop production infrastructure for a large-scale, real-time multi-tenant platform. Work closely with backend engineers to support reliability, scalability, and availability of services. Implement and improve automation for deployments, infrastructure provisioning, and operational tasks. Participate in incident handling, root cause analysis, and post-incident improvements. Take responsibility of designing new infrastructure solutions and initiatives. Oferujemy: Work on a production-grade product used by enterprise customers in the AI and big data domain. Opportunity to grow technically while working with real-world, distributed systems at scale. Support from experienced engineers and space to take on more responsibility over time. Influence on day-to-day technical decisions within your team. Fully remote work model.