DataOps Engineer

We are seeking a Big Data Ops with a balance of skills in design, physical implementation and performance tuning to create, operate and support Big Data Data and AI Infrastructure and environments running on-premise or on external cloud services providers. You will be a part of our friendly and professional team working on ambitious projects and tasks developing our Data Lake.

• Manage k8s cluster environments on bare-metal and container infrastructure, including service allocation and configuration for the cluster, capacity planning, performance tuning, and ongoing monitoring; • Implement and operate Data Lake (S3 + Trino); • Operate and Develop on-premise AI infrastructure; • Deploy and maintain Spark on k8s; • Data protection according to company security policies; • Provide monitoring and alerting of the services; • Participate in Data Platform architecture development.

• 5+ years of working experience and knowledge of containers (e.g., docker, containerd) and major orchestrators (e.g., Kubernetes, rancher); • Excellent knowledge of Linux; • Strong knowledge of Java/Python/GO, SQL; • Relevant experience in deployment and maintaining Hadoop Ecosystem including Spark framework will be considered highly advantageous; • Deep understanding of Hadoop and Spark cluster security, networking connectivity and IO throughput along with other factors that affect distributed system performance will be considered highly advantageous; • Understanding object storage solutions based on S3; • Working knowledge of automation tools (e.g., Puppet, Chef, Ansible); • Understanding of base principles CI/CD in the data processing area; • Experience with Big Data Processing & Data Lake building; • Strong working knowledge of disaster recovery, incident management, and security best practices; • Good communication and problem-solving skills; • Spoken and written at least Intermediate English; • Detail-oriented and critical thinking; • Decision-making and adaptability to new changes.

• Competitive salary and annual performance bonus; • Full relocation support for you and your family — flights, housing, visas, and legal assistance included; • Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind; • Unlimited learning opportunities: external courses, English lessons, career and leadership development; • Education allowance covering school and kindergarten fees; • 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave; • Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones; • “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar; • Employee share scheme — grow with us; • Branded MINI Cooper Countryman company car and private parking; • Free in-house sports clubs, Sanctum Club gym access, and jet skis; • Access to a Corporate doctor; • Exclusive discount program with cafes, gyms, and local services; • Expat tax perks: up to 50% income tax exemption; • Support with the naturalisation process for relocated employees.

Exness is a global multi-asset retail broker founded in 2008 that provides online trading services to over 1 million clients worldwide. The company processes 40+ million trades daily and operates as an ethical trading platform across 13 countries.