Product Engineering Specialist - Kafka

Who we are:

ShorePoint is a fast-growing, industry recognized, and award-winning cybersecurity services firm with a focus on high-profile, high-threat, private and public-sector customers who demand experience and proven security models to protect their data. ShorePoint subscribes to a "work hard, play hard" mentality and celebrates individual and company successes. We are passionate about our mission and going above and beyond to deliver for our customers. We are equally passionate about an environment that supports creativity, accountability, diversity, inclusion, and a focus on giving back to our community.

The Perks:

As recognized members of the Cyber Elite, we work together in partnership to defend our nation's critical infrastructure while building meaningful and exciting career development opportunities in a culture tailored to the individual technical and professional growth. We are committed to the belief that our team members do their best work when they are happy and well cared for. In support of this philosophy, we offer a comprehensive benefits package, including major carriers for health care providers. Highlighted benefits offered: 18 days of PTO, 11 holidays, 80% of insurance premium covered, 401k, continued education, certifications maintenance and reimbursement, etc.

Who we're looking for:

We are seeking a Product Engineering Specialist - Kafka who has experience providing support in a dynamic, fast-paced environment within the public sector. This is a unique opportunity to shape the growth, development, and culture of an exciting and fast-growing company in the cybersecurity market. The Product Engineering Specialist - Kafka will have the opportunity to be exposed to all aspects of support to a federal client and will be encouraged to grow as the organization expands.

What you'll be doing:

• 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.

What you need to know:

• 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.

Must have's:

• 5 years of relevant experience.
• 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.
• Demonstrated ability to apply critical thinking to develop undefined tasks into actionable processes and work streams.
• This position requires U.S. citizenship in compliance with federal contract requirements.

Beneficial to have the following:

• Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering or a related field.
• Industry related certifications.
• 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.

Where it's done:

• Remote (Herndon, VA).