honeycomb.io · 6 hours ago

Staff Platform Engineer

USA

Full-time

Remote

Senior Level, Lead/Staff

$190K/yr - $235K/yr

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Cloud Data ServicesData Visualization

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Responsibilities

Kafka Administration: Manage and optimize Kafka clusters, ensuring high availability, fault tolerance, and scalability. Troubleshoot and resolve issues related to Kafka performance, configuration, and integrations with downstream systems. Mentoring team members to distribute Kafka knowledge.

Scale high-throughput services: We are moving millions of events per second with low latency and growing. This role will let you explore what happens when straightforward individual tasks are suddenly running in between, on top of, and all around each other in interesting and complicated ways. You’ll help us ensure that the product flows smoothly even as it increases in volume and complexity.

Database Management: Oversee the architecture, performance, and scaling of our databases. You and the team will be responsible for database tuning, query optimization, and ensuring data integrity and availability across different storage systems.

Building New Services & Maintaining Existing Work: Design and implement new services that meet business and technical requirements. You’ll also take ownership of maintaining and evolving existing services, ensuring they continue to meet the growing demands of our organization while adhering to high standards of reliability and performance.

Work well with other teams: You'll collaborate cross-functionally with product managers, designers, and other engineering teams to deliver high-impact solutions. Your ability to build relationships and facilitate smooth communication across teams will be crucial in helping the organization achieve its goals efficiently and effectively.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Kafka AdministrationDatabase ManagementOperationsDebuggingProcess ImprovementAutomationCross-functional Collaboration

Required

Manage and optimize Kafka clusters, ensuring high availability, fault tolerance, and scalability.

Troubleshoot and resolve issues related to Kafka performance, configuration, and integrations with downstream systems.

Mentoring team members to distribute Kafka knowledge.

Oversee the architecture, performance, and scaling of our databases.

Responsible for database tuning, query optimization, and ensuring data integrity and availability across different storage systems.

Design and implement new services that meet business and technical requirements.

Take ownership of maintaining and evolving existing services, ensuring they continue to meet the growing demands of our organization while adhering to high standards of reliability and performance.

Collaborate cross-functionally with product managers, designers, and other engineering teams to deliver high-impact solutions.

Ability to debug both automated and human processes.

Work in both software engineering and operations.

Deeply understanding how internet services run and scale.

Ability to balance complication and simplicity in distributed systems.

Curiosity to investigate, learn, experiment, and try new ways/things/methods.

See toil as opportunity for change and spot opportunities for improvement.