DevOps Engineer

Synerise is a technology company delivering an all-in-one AI-enhanced data platform used in over 30 markets across industries such as Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. They are also developing the Base Model platform, a foundation model for behavioral data aimed at enterprise Data Science teams to innovate in AI and demonstrate its business potential.

• 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.

Nice to have:

• 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.

• 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.