Data Platform Engineer

Join a modern data engineering team responsible for operating and evolving more than 400 data platforms and services across databases, streaming technologies, Kubernetes-based workloads, and managed cloud services. As a Data Platform Engineer, you will help transform traditional database administration into a scalable, automated, and cloud-native engineering practice. You will design and maintain reliable data infrastructure, improve operational efficiency, and enable development teams to access data services through self-service solutions. Working with modern DevOps and Site Reliability Engineering (SRE) practices, you will contribute to platform modernization, security, performance, and cost optimization. This fully remote opportunity is ideal for an experienced engineer who enjoys solving complex infrastructure challenges and building resilient, production-ready data platforms.

The ideal candidate has hands-on experience managing production data infrastructure and a strong understanding of cloud-native technologies, automation, and database reliability. You should be comfortable working independently, troubleshooting complex technical issues, and collaborating across teams to continuously improve platform performance. The following qualifications and skills are required or desirable:

• Proven experience operating production databases such as PostgreSQL, MongoDB, or Valkey, including replication, high availability, backup and recovery, and upgrades.

• Practical experience with data streaming and real-time processing technologies, particularly Kafka and Flink.

• Strong knowledge of DevOps practices, including continuous integration and delivery, infrastructure automation, and Infrastructure as Code.

• Hands-on experience with automation and infrastructure tools such as Python, Bash, Terraform, Terragrunt, and Ansible.

• Strong SQL skills and experience optimizing database performance through query tuning, indexing, and database engine configuration.

• Operational experience with public cloud environments, preferably Microsoft Azure.

• Working knowledge of Kubernetes and container technologies.

• Strong autonomy, critical thinking, and problem-solving abilities, combined with a sense of ownership and a continuous-improvement mindset.

• Excellent written and verbal communication skills, active listening, and the ability to collaborate effectively with cross-functional teams.

• Fluency in English is mandatory.

• Advanced Kubernetes or Azure Kubernetes Service (AKS) knowledge, particularly for stateful and data-intensive workloads.

• Experience with database operators such as CloudNativePG, including storage management, autoscaling, and operational lifecycle management.

• Good Linux administration and troubleshooting skills.

• Experience with managed data services, including hosted PostgreSQL, Kafka, or MongoDB platforms.

• Familiarity with Change Data Capture technologies such as Debezium.

• Experience with GitLab CI/CD pipelines and GitOps workflows.