Data Infrastructure Engineer
The DataFlow team is responsible for building and operating the data infrastructure that powers the real-time data ecosystem. The team designs, scales, and maintains the platforms that enable critical business decisions, working with technologies such as Apache Kafka, Kafka Connect, Elasticsearch, and Kibana.
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 will take ownership of production-grade data platforms, improve platform reliability through automation, and build internal tools that empower engineering and data teams. You will 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.
- 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.
- Hands-on experience with Apache Kafka, Kafka Connect, and Schema Registry (Apache or Confluent). (required)
- Strong experience with Elasticsearch and Kibana. (required)
- Proficiency in Python (or a similar language) for automation, infrastructure tooling, and operational services. (required)
- Experience building internal tools, APIs, or platform services. (required)
- Hands-on experience with Docker and Kubernetes. (required)
- Experience implementing monitoring and observability solutions using Prometheus and Grafana. (required)
- Strong Linux administration, troubleshooting, shell scripting, and performance tuning skills. (required)
- Experience working with CI/CD pipelines, Git, and Infrastructure-as-Code tools such as Terraform or Ansible. (required)
- Strong understanding of distributed systems and event streaming architectures. (required)
- Solid understanding of DevOps principles, Infrastructure-as-Code, and automation practices. (required)
- Familiarity with AWS and hybrid cloud environments. (required)
- Understanding of production operations, monitoring, incident management, and operational best practices. (required)
- Familiarity with infrastructure security, access control, and secrets management. (required)
- 3+ years of experience in Data Infrastructure, Platform Engineering, or Streaming Platforms. (required)
- Proven experience operating and supporting production systems with a strong focus on reliability and scalability. (required)
- Experience troubleshooting distributed systems and production incidents. (required)
- Experience working in cross-functional environments alongside Software Engineers, Data Engineers, and Platform teams. (required)
- Experience building, operating, and improving data platforms and streaming pipelines in production. (required)
- Experience with Apache Flink or other stream processing technologies. (nice-to-have)
- Experience with Microsoft SQL Server (MSSQL). (nice-to-have)
- Experience implementing RBAC, working in multi-tenant environments, and platform governance. (nice-to-have)
- Experience building self-service platforms or developer enablement solutions for engineering or data teams. (nice-to-have)
- 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
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