DevOps Engineer (Kafka)
First seen by Alion on Oct 28, 2026.
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)