Our DataFlow team is responsible for building and operating the data infrastructure that powers our real-time data ecosystem. We design, scale, and maintain the platforms that enable critical business decisions, working with technologies such as Apache Kafka, Kafka Connect, Elasticsearch, and Kibana.
We're a collaborative, high-impact team that values ownership, technical excellence, and continuous learning. Every engineer plays a meaningful role in designing reliable, scalable systems while contributing to a culture of knowledge sharing and teamwork.
As a Data Infrastructure Engineer, you'll take ownership of production-grade data platforms, improve platform reliability through automation, and build internal tools that empower engineering and data teams. You'll work closely with Software Engineers, Data Engineers, Platform Engineers, and Analysts to ensure our real-time data infrastructure remains robust, scalable, and easy to operate.
If you're passionate about distributed systems, infrastructure engineering, automation, and solving complex technical challenges—we'd love to meet you.
עיקרי התפקיד
Build, operate, and maintain our core data infrastructure platforms, including Apache Kafka, Kafka Connect, Elasticsearch, and Kibana.
Design, deploy, and monitor scalable real-time data pipelines across on-premises and cloud environments.
Troubleshoot production issues, participate in incident response, perform root cause analysis, and drive long-term reliability improvements.
Develop automation, Infrastructure-as-Code solutions, and operational tooling to improve platform efficiency and reduce manual effort.
Build and maintain internal tools, APIs, and self-service capabilities for engineering and data teams.
Collaborate closely with Software Engineers, Data Engineers, Analysts, and Platform teams to ensure reliable data delivery.
Implement and maintain monitoring, alerting, and observability solutions using Prometheus and Grafana.
Support platform upgrades, infrastructure improvements, and capacity planning initiatives.
Contribute to documentation, knowledge sharing, and engineering best practices to continuously improve operational excellence.
דרישות
Technical expertise
Hands-on experience with Apache Kafka, Kafka Connect, and Schema Registry (Apache or Confluent).
Strong experience with Elasticsearch and Kibana.
Proficiency in Python (or a similar language) for automation, infrastructure tooling, and operational services.
Experience building internal tools, APIs, or platform services.
Hands-on experience with Docker and Kubernetes.
Experience implementing monitoring and observability solutions using Prometheus and Grafana.
Strong Linux administration, troubleshooting, shell scripting, and performance tuning skills.
Experience working with CI/CD pipelines, Git, and Infrastructure-as-Code tools such as Terraform or Ansible.
Knowledge
Strong understanding of distributed systems and event streaming architectures.
Solid understanding of DevOps principles, Infrastructure-as-Code, and automation practices.
Familiarity with AWS and hybrid cloud environments.
Understanding of production operations, monitoring, incident management, and operational best practices.
Familiarity with infrastructure security, access control, and secrets management.
Experience
3+ years of experience in Data Infrastructure, Platform Engineering, or Streaming Platforms.
Proven experience operating and supporting production systems with a strong focus on reliability and scalability.
Experience troubleshooting distributed systems and production incidents.
Experience working in cross-functional environments alongside Software Engineers, Data Engineers, and Platform teams.
Experience building, operating, and improving data platforms and streaming pipelines in production.
יתרון
Experience with Apache Flink or other stream processing technologies.
Experience with Microsoft SQL Server (MSSQL).
Experience implementing RBAC, working in multi-tenant environments, and platform governance.
Experience building self-service platforms or developer enablement solutions for engineering or data teams.
What we offer:
Our roles offer more than just a job, you’ll become part of the evoke family! We have created an environment where our people can thrive. Check out some of the fantastic benefits on offer:
Hybrid work model
Free parking in the building + free electric car charging
Broad collective health insurance (with options for family members and extensions)
Birthday gift + day off during your birthday month
Refer a friend - bonus or gift card
HitechZone membership
Gifts on holidays and life events
Ten Bis
More about evoke
We’re a business that embraces change and progress. The power behind big name brands William Hill, 888 and Mr Green, evoke is the new name for 888 Holdings. Marking a new sense of purpose, direction and ambition for the business, there couldn’t be a more exciting time to join us as we accelerate our journey to bring even greater delight to our customers with world-class experiences. That’s the future. That’s evoke.
At evoke, you’ll benefit from flexibility and a culture built on trust. We’ll give you the space to be yourself and the tools you need to protect our customers while they play. We’ll invest in your future to help you develop your unique strengths and build a career that’s right for you.
Apply
At evoke, we prioritize diversity, equity, and inclusion for the benefit of our company, employees, and communities. We foster a welcoming and safe workplace that values all forms of diversity and provides opportunities for growth.
Sounds good? Then you belong at our place! The first step in the recruitment process is kickstarting your application, followed by an initial screening call and an interview stage.
Apply today to kickstart your application with evoke!