SRE Kafka

SRE Kafka

Dublin/Hybrid

Fulltime

Site Reliability Engineering:

• Serve as the primary contact responsible for ensuring application scalability, performance, and resilience.
• Practice sustainable incident response and blameless post-mortems while taking a holistic approach to problem-solving and optimizing recovery time.
• Automate data-driven alerts to proactively escalate issues. Work with development teams to establish SLOs and improve reliability.

DevOps/Automation:

• Tackle complex development, automation, and business process problems. Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation, and refinement.
• Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead the Client in DevOps automation and best practices.
• Increase automation and tooling to reduce toil and manual intervention

ITSM Practices:

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.
• Coding and/ or scripting exposure.
• Appetite for change and pushing the boundaries of what can be done with automation. Be curious about new technology, infrastructure, and practices to scale our architecture and prepare for future growth.
• Experience with algorithms, data structures, scripting, pipeline management, and software design
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Interest in designing, analysing, and troubleshooting large-scale distributed systems.
• Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.
• Ability to balance doing things right with fixing things quickly. Flexible and pragmatic, while working towards improving the long-term health of the system.
• Comfortable collaborating with cross-functional teams to ensure that expected system behavior is understood, and monitoring exists to detect anomalies.

Kafka Knowledge is MUST

• 3-5 years of experience working with Apache Kafka in a production environment.
• Strong knowledge of Kafka architecture, including brokers, topics, partitions, and replicas.
• Experience with Kafka security, including SSL, SASL, and ACLs.
• Proficiency in configuring, deploying, and managing Kafka clusters in cloud and on-premises environments.
• Experience with Kafka stream processing using tools like Kafka Streams, KSQL, or Apache Flink.
• Solid understanding of distributed systems, data streaming, and messaging patterns.
• Proficiency in Java, Scala, or Python for Kafka-related development tasks.
• Familiarity with DevOps practices, including CI/CD pipelines, monitoring, and logging.
• Experience with tools like Zookeeper, Schema Registry, and Kafka Connect.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed environment.
• Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.