Data Infrastructure Engineer Bucharest

Data Infrastructure Engineer
Bucureşti
Bucharest, Bucharest, Romania

As a Data Infrastructure Engineer, you will focus on designing, installing, monitoring, and troubleshooting the messaging and streaming infrastructure of Kafka in
- hosted or
- native environments (e. g. , GCP, AWS, OCI, Azure). Your role will support AI and machine learning applications by building and maintaining the infrastructure required for efficient data processing and analysis. You’ll collaborate closely with data scientists, data engineers, and other stakeholders to understand data needs and design scalable, reliable data platforms.

Kafka Management:

• Manage Kafka clusters for high availability, performance, and scalability.
• Collaborate with development teams to design and implement Kafka solutions for data processing and
  - driven architectures.
• Monitor Kafka metrics, troubleshoot issues, and optimize configurations.
• Administer Kafka infrastructure, including brokers, Zoo
  Keeper, Kafka Connect, schema registry, and KSQL.

Cloud Infrastructure:

• Manage GPU compute instances and the overall infrastructure in the cloud.
  
• Experience with GCP-managed services and understanding of
  - based messaging/stream processing systems, Big
  Data solutions, and Google Cloud data products (e. g. , Big
  Query, Pub/Sub, Postgres, Dataflow, Dataproc).

Data Architecture:

• Design and implement scalable data architectures, including data pipelines, data warehouses, and distributed systems.

Performance Optimization:

• Monitor and optimize data infrastructure for performance and resource management.

Security & Compliance:

• Conduct data risk assessments, vulnerability assessments, and security audits.
• Perform security architecture reviews and develop threat models.
• Support data classification and data loss prevention (DLP) initiatives, ensuring adherence to cloud security and data security best practices.

• Work with
  - functional teams, data scientists, and data engineers to align on data requirements.
• Provide documentation for data infrastructure solutions and best practices.
• Collaborate with Site Reliability Engineering (SRE) teams to maintain the security of production systems.

Technical Expertise:

• Extensive experience as a data infrastructure engineer with a background in building
  - scale data platforms.
  
• Proficient in managing both
  - premises and
  - native Kafka clusters.
  
• Strong knowledge of public cloud services, particularly GCP, and familiarity with network and security best practices.
  
• Demonstrated ability to manage RDBMS such as Postgres, MSSQL, and Cloud
  SQL.

• Proficiency in Go
  Lang or Python; experience with Infrastructure as Code (Ia
  C) using Terraform and CI/CD tools (e. g. , Git
  Lab, Git
  Hub Actions, Jenkins).

• Knowledge of DLP solutions, threat detection, and incident response tools.
• Familiarity with cloud security best practices and ability to influence stakeholders to maintain high standards in data infrastructure security.

• Experience in multinational tech environments and proficiency in English.
• Eagerness to learn new technologies and the flexibility to adapt to changing organizational needs.

At Sportserve, we are deeply committed to fostering a diverse and inclusive workplace. We believe in building a team that reflects a wide array of backgrounds, skills, and perspectives. Embracing diversity not only enriches our work culture but also drives innovation and excellence. We are proud to be an equal opportunity employer, where everyone’s contribution is valued and respected.

If you’re a passionate about technology and looking to start your career in an international,
- thinking Sports Betting company, we’d love to hear from you. Apply now to become part of our exciting journey!