Infrastructure Engineer (Kafka)

Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement.

We are building the future of live entertainment. We believe that by providing people with the best and high-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together!

Job Responsibilities

• Cluster Management: deploy, administer, and scale Apache Kafka and Kafka Debezium clusters in high-load production environments;

• Infrastructure as Code: fully automate provisioning and configuration management processes using Terraform and Ansible;

• Reliability Engineering: configure monitoring and alerting, design Disaster Recovery (DR) strategies, and ensure High Availability (HA) for stateful services;

• Performance Tuning: deep optimization of Kafka configurations (producers, consumers, brokers) and OS (Linux) kernel parameters tailored to specific load profiles;

• Troubleshooting: investigate incidents, analyze logs, and identify bottlenecks in distributed data processing systems.

You’ll thrive here if you have

• Experience: 3+ years as a DBRE, DevOps, or System Administrator with a focus on databases and message brokers;

• Apache Kafka: in-depth understanding of internal architecture (Brokers, Controller, KRaft/Zookeeper, Partitioning, Replication protocols).
  Experience operating production clusters under high load;

• CDC / Debezium: hands-on experience configuring Change Data Capture (CDC) pipelines and a solid understanding of Kafka Connect;

• IaC & Automation;

• Strong proficiency in Terraform (writing modules, managing state files);

• Experience writing complex Ansible roles and playbooks;

• Linux: deep knowledge of OS internals (CPU, Memory, Disk I/O, Network tuning) for database performance optimization;

• Observability: experience with Prometheus, Grafana, and the ELK/EFK stack;

• Scripting: proficiency in Python or Bash for automation tasks.

That can be a plus:

• Kubernetes & Helm: experience running stateful workloads in K8s (experience with operators);

• Relational Databases: experience administering and tuning PostgreSQL or MariaDB (especially in the context of Debezium source connectors);

• Analytical & NoSQL DBs: knowledge of ClickHouse (MergeTree engines, replication, sharding) and/or MongoDB.

Conditions

We know that great talent deserves great conditions, so here's what you can expect when joining us:

• EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.

• Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.

• Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.

• Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.

• Mindfulness & well-being support, including psychological assistance with 50% coverage.

• 50% coverage of school and kindergarten fees for your children.

• Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.

• Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.

• A culture of recognition: a peer reward program to celebrate your contributions.

• A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.

• Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.

• A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.

Recruitment process

• HR interview (40 min);

• Technical interview (1.5 hour);

• Final interview (1 hour);

• Recommendations check;

• Job Offer.