DevOps Engineer (Kafka)

We are looking for an experienced DevOps Engineer with strong expertise in Apache Kafka and messaging systems to join our team and help develop and improve our infrastructure.

In this role, you'll work with cloud and on-premises environments, ensuring system reliability, performance, and stability.

We're looking for someone who enjoys hands-on engineering, takes ownership of technical challenges, and can independently identify areas for improvement and implement effective solutions.

Responsibilities:

Design, build, configure, and maintain Kafka clusters and messaging infrastructure

Manage and improve existing DevOps infrastructure across cloud and on-premises environments

Identify weaknesses and bottlenecks in the current infrastructure and implement improvements

Ensure high availability, reliability, and performance of infrastructure and messaging services

Automate infrastructure provisioning, configuration, and operations using Terraform and Kubernetes

Build and maintain monitoring and alerting systems

Collaborate with development teams on Kafka topic design, schema management, and connectors

Design and maintain backup, replication, and disaster recovery solutions for streaming infrastructure

Troubleshoot production issues, investigate incidents, and improve system stability

Participate in on-call rotations and incident response

Requirements:

5+ years of professional experience as a DevOps, SRE, or Platform Engineer

Strong production experience with Apache Kafka and message brokers such as RabbitMQ or RocketMQ

Deep understanding of event-driven, modular monolith, microservices architectures

Experience running stateful workloads on Kubernetes

Hands-on experience with Terraform

Experience with monitoring tools such as Prometheus and Grafana

Strong Linux administration skills, including performance tuning and troubleshooting

Solid understanding of networking fundamentals

Experience with cloud and/or on-premises infrastructure

English level - B1 or higher

Will be a plus:

Experience with Schema Registry, Kafka Connect, or CDC (Debezium)

Experience with Kubernetes Operators (Strimzi or similar)

Experience with Helm

Experience with Amazon MSK

Experience with low-latency or high-throughput systems

Experience with data pipelines (ClickHouse, HDFS, Spark)

Experience in trading, fintech, or market-data environments

What we offer:

20 paid vacation days per year

10 paid sick leave days per year

Public holidays as per the company’s approved Public holiday list

Medical insurance

Opportunity to work remotely

Professional education budget

Language learning budget

Wellness budget (gym membership, sports gear and related expenses)