ShorePoint Inc ยท 1 day ago
Product Engineering Specialist - Kafka
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Responsibilities
Design, implement, and optimize Kafka-based data streaming architectures for cybersecurity data collection and processing.
Develop and maintain Kafka clusters, ensuring high availability, fault tolerance, and scalability.
Configure and tune Kafka for optimal performance, considering factors such as partitioning, replication, and consumer group strategies.
Implement data replication strategies between edge Kafka deployments and centralized Kafka clusters.
Collaborate with integration engineers to design and implement efficient data pipelines from data source to Kafka to the Elastic Stack.
Engage in all agile ceremonies including backlog grooming, demos and retrospectives.
Provide expertise and guidance on Kafka security features, including encryption, authentication, and authorization.
Conduct capacity planning and performance testing for Kafka deployments.
Troubleshoot complex issues in Kafka systems.
Develop and maintain documentation for Kafka configurations, best practices, and troubleshooting procedures.
Qualification
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Required
5 years of relevant experience.
Strong experience with Kafka and other big data, distributed and data streaming technologies.
In-depth knowledge of all the functionalities surrounding Kafka.
Proficient with Java or Python for developing Kafka-related applications and tools.
Ability to install, maintain and troubleshoot Kafka.
Understanding of data serialization formats (e.g. Avro, Protobuf) and schema management.
Ability to design secure configurations and access to shared Kafka deployments.
Excellent troubleshooting skills.
Excellent communication and interpersonal skills.
Ability to design, build and maintain message configuration and flows in high-throughput, low-latency scenarios.
Strong problem-solving skills and ability to provide issue analysis on Kafka applications and other complex distributed systems.
Experience documenting tests and presenting findings.
This position requires U.S. citizenship in compliance with federal contract requirements.
Preferred
BS in Computer Science, Information Systems, Mathematics, Engineering, related degree preferred.
Industry related certifications preferred.
Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
Experience deploying Kafka in cloud-based environments (AWS, Azure, GCP).
Experience with Infrastructure as Code tools for deploying and managing Kafka clusters.
Benefits
18 days of PTO
11 holidays
80% of insurance premium covered
401k
Continued education
Certifications maintenance and reimbursement
Company
ShorePoint Inc
ShorePoint recognizes that cybersecurity is the challenge of our generation.
Funding
Current Stage
Early StageRecent News
2024-11-19
2024-10-26
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