DevOps Engineer

Job Title: Senior DevOps Engineer

Location Amsterdam

Contract Length: 12 months

Rate Negotiable

We are looking for a skilled professional to join our team and help us enhance and scale our newly developed cloud-platform, which is currently processing millions of payments daily. You will play a key role in ensuring the platform's scalability, reliability, and performance.

Key Responsibilities:

• Architect, design, and develop highly scalable and resilient components ensuring optimal performance as the platform scales to process millions of transactions.
• Lead the implementation and optimization of cloud-native applications using Java 11, Spring Boot, and Kafka to support high-volume data processing.
• Develop and maintain microservices architecture, leveraging Kubernetes and OpenShift to manage and deploy containerized applications.
• Collaborate closely with cross-functional teams, including DevOps, product owners, and software engineers, to design and deliver new features and improvements.
• Utilize Cassandra, Elasticsearch, and S3 for large-scale data storage and retrieval, ensuring low-latency data access for our platform.
• Implement CI/CD pipelines using Azure DevOps, Jenkins, Maven, and GIT, to enable automated testing, deployment, and monitoring across environments.
• Contribute to the improvement of payment processing workflows by optimizing messaging systems with Spring JMS and Kafka, ensuring real-time transaction handling.
• Perform performance testing and optimization using tools like Gatling to ensure the platform handles large volumes of traffic seamlessly.
• Monitor system health and performance using Elastic, and ensure continuous availability by developing robust monitoring and alerting solutions.

Key Skills and Experience:

• Proficiency in Java 11 and experience with the Spring Boot framework for building cloud-native applications.
• Experience with Spring JMS, Jersey framework, and Swagger for building RESTful APIs and managing inter-service communication.
• Deep knowledge of Kafka for event-driven architectures and handling high-throughput, low-latency data streams.
• Expertise in Kubernetes and OpenShift for deploying and managing containerized applications at scale.
• Strong hands-on experience with CI/CD tools like Azure DevOps, Jenkins, GIT, and Maven for automating development workflows.
• Knowledge of Cassandra, Elasticsearch, and S3 for handling distributed data systems and cloud storage solutions.
• Solid understanding of cloud infrastructure and experience in working with Azure or other cloud providers.
• Experience in the payments or financial services industry, with a deep understanding of payment processing systems.
• Prior experience working with microservices architecture and distributed systems.