DataOps Engineer (Big Data)

TL;DR

DataOps Engineer (Big Data): Designing, implementing, and maintaining high-performance Big Data and AI infrastructure with an accent on Kubernetes clusters, S3-based Data Lakes, and Spark optimization. Focus on building scalable data platforms, ensuring system security, and managing on-premise infrastructure for high-load environments.

Location: Must be based in or able to relocate to Limassol, Cyprus

Company

hirify.global is a global fintech company providing advanced financial trading solutions and high-tech data services.

What you will do

• Manage Kubernetes cluster environments on bare-metal, including capacity planning and performance tuning.
• Implement and operate Data Lake infrastructure using S3 and Trino.
• Deploy and maintain Spark on Kubernetes.
• Develop and operate on-premise AI infrastructure.
• Implement monitoring, alerting, and data protection measures in accordance with security policies.
• Participate in the architecture development of the company's Data Platform.

Requirements

• Relevant experience in maintaining Hadoop ecosystems and the Spark framework.
• Deep understanding of distributed system performance, including IO throughput and cluster networking.
• Practical experience with containers (Docker/containerd) and orchestration tools like Kubernetes or Rancher.
• Knowledge of automation tools such as Ansible, Puppet, or Chef.
• Proficiency in Linux environments and at least one programming language (Python, Java, or Go).
• Strong knowledge of incident management and security best practices.

Nice to have

• Experience with disaster recovery implementation.
• Familiarity with CI/CD principles in big data processing.

Culture & Benefits

• Comprehensive relocation support package for the employee and family.
• Top-tier medical insurance for the whole family, including dental and vision.
• Education allowance for school and kindergarten fees.
• Competitive salary with an annual performance bonus and employee share scheme.
• Access to in-house sports clubs, gym facilities, and private car/parking perks.
• Generous leave policy, including 21 days of annual leave and paid sick/family leave.

Hiring process

• Introductory call with a recruiter.
• Technical and behavioral interviews.
• English language proficiency check if required.