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Data Platform Infrastructure Engineer

evoke
1 day ago
Full-time
On-site
Bucharest, Bucharest, Romania
Data Analytics

Role purpose

We are looking for a Senior Data Platform Infrastructure Engineer to join the Data Platform Infrastructure team and take ownership of critical infrastructure, CI/CD, Kubernetes/EKS, Flink, OpenSearch, and platform automation capabilities.

This role is essential for maintaining and evolving the Smart Data Platform infrastructure, supporting real-time data processing, improving platform reliability, enabling cost optimisation, and ensuring that engineering teams can deploy and operate data workloads safely and efficiently.

The successful candidate will operate as a senior technical owner, working across infrastructure, streaming systems, CI/CD, observability, and operational support.

What you will be doing:

  • Own and improve CI/CD pipelines for Data Platform workloads, including Flink deployments and supporting platform services.
  • Design, build, and maintain Terraform/Terragrunt-based AWS infrastructure.
  • Support and enhance EKS-based infrastructure, including node pools, autoscaling, scheduling, disruption budgets, observability, and operational reliability.
  • Own and evolve Flink deployment patterns, including AWS Managed Flink and EKS-based Flink via Flink Operator.
  • Support real-time data processing platforms, including production-ready infrastructure, monitoring, configuration, and operational improvements.
  • Contribute to OpenSearch infrastructure and platform capabilities, including deployment architecture, security, authentication, access control, shared-data integration, and Terraform implementation.
  • Improve platform cost efficiency through autoscaling, Karpenter tuning, GitLab runner optimisation, and infrastructure cleanup.
  • Strengthen monitoring, alerting, and observability across Data Platform infrastructure.
  • Participate in the SDP/Data Platform on-call rota and support production stability.
  • Lead workshops, provide hands-on guidance, and share knowledge across teams.
  • Establish reusable infrastructure and deployment patterns for other teams.
  • Support engineers designing and configuring streaming-based solutions.
  • Actively use AI-assisted engineering tools such as Codex, Copilot, Claude, or equivalent to improve delivery speed, quality, and engineering practices.
  • Document solutions clearly and contribute to sustainable knowledge sharing.



Requirements

Who we are looking for:

  • Strong hands-on experience with AWS infrastructure, ideally in a data platform or high-scale engineering environment.
  • Advanced experience with Kubernetes and Amazon EKS.
  • Strong experience with Terraform/Terragrunt and infrastructure-as-code best practices.
  • Strong experience with CI/CD pipeline design and automation, ideally using GitLab CI.
  • Experience with Apache Flink, Flink Operator, AWS Managed Flink, or similar streaming/data-processing technologies.
  • Strong Python scripting or development experience.
  • Experience with autoscaling technologies such as Karpenter, node pools, pod scheduling, disruption budgets, and Kubernetes workload optimisation.
  • Experience with monitoring and alerting for production infrastructure.
  • Experience operating production systems and participating in on-call support.
  • Ability to troubleshoot complex infrastructure, deployment, and runtime issues.

Highly desirable experience

  • Experience with OpenSearch infrastructure, configuration, security, access policies, and production operation.
  • Experience with streaming architectures and real-time data platforms.
  • Experience with Kafka, Kafka Connect, or event-driven data pipelines.
  • Experience with GitLab runners on Kubernetes/EKS.
  • Experience reducing AWS infrastructure cost through autoscaling, workload optimisation, and platform cleanup.
  • Experience mentoring engineers and leading technical workshops.
  • Experience applying AI-assisted development tools in day-to-day engineering workflows.

Expected seniority

This should be positioned as a Senior Engineer role, not a mid-level replacement.

The required skill combination is broad and deep: CI/CD, Python, Kubernetes/EKS, Terraform, Flink, streaming architecture, OpenSearch, production operations, observability, cost optimisation, and cross-team technical leadership. Based on the current context, replacing this capability with a single standard engineer would be unrealistic.

 

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!