Kafka Database Engineer

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

What's Exciting About the Role

Verifone is seeking a Database Engineer to join our incredible Platform Engineering team. This is an early career role with a focus on Kafka, where you’ll be hands-on with day-to-day operations, reliability, tuning, automation, high availability for payment gateway solutions that process billions of transactions annually on prem and in AWS Cloud. You will have the opportunity to leverage your experience, and learn other technologies such as Redis, MongoDB, PostgreSQL, MySQL, Snowflake, etc.

This hybrid role is open to hiring candidates located in:

• Bucharest, Romania
• London, United Kingdom
• Riga, Lativa
• Warsaw, Poland

Key Responsibilities

• Manage and support Apache Kafka clusters for high-throughput, fault-tolerant messaging
  and event streaming pipelines.
• Develop and manage automation scripts using Python and Shell scripting to reduce
  manual toil and improve operational efficiency.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or
  similar.
• Monitor system health, set up alerts, and drive incident response and root cause analysis
  (RCA).
• Collaborate with development teams to implement best practices for security, scalability,
  and performance.
• Design, implement, and maintain robust CI/CD pipelines to streamline software delivery.
• Containerize and orchestrate workloads using Docker and Kubernetes.
• Manage cloud infrastructure on AWS / GCP / Azure (VMs, networking, storage, IAM, etc.).
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Required Qualifications/Skills

• 2+ years of hands-on experience supporting Kafka in a large scale production environment
• Kafka Producer/Consumer Microservices concepts and Kafka distributed Architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory,
  disk.
• Comfort with scripting and automation (e.g., Python, Bash).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch)
• Infrastructure-as-Code (Terraform preferred) and CI/CD familiarity.
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response
  practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions,
  backpressure).
• Strong communication and presentation skills with emphasis on executive communication
• Flexible with regards to working shifts; on-call & weekends

 

Preferred Skills (Not Mandatory)

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Data engineering skills, including data analytics, data processing, ETL, Data lake (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration), AWS tools (Athe