
Distributed Systems Engineer, Data Platform
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in United States.
• Develop large-scale, real-time services and applications that utilize extensive datasets for both internal APIs and external applications.
• Create tools, libraries, frameworks, and services that bolster security, research, and data platform projects.
• Transform prototypes into dependable internal tools, services, or platform functionalities.
• Engage in planning and technical discussions alongside engineering and product teams.
• Design and sustain data pipelines, messaging systems, databases, caching layers, and services either in the cloud or on-premises.
• Collaborate with Machine Learning Engineers and Security Researchers to create solutions that enhance security outcomes.
• Over 5 years of experience in software engineering with a focus on building distributed systems.
• Proficiency in object-oriented programming; Censys primarily utilizes Go.
• Familiarity with at least one cloud service provider, such as AWS, Azure, or GCP.
• Experience or knowledge of message queue technologies, including AWS Kinesis, Google Pub/Sub, or Kafka.
• Background in working with databases like BigTable, Cloud Spanner, HBase, or Cassandra.
• Understanding of concepts like scalability, fault tolerance, and reliability.
• Awareness of using AI technologies.
• Capable of writing clear, testable, and maintainable code.
• Strong communication skills and the ability to collaborate effectively with engineers and product managers.
• Willingness to employ AI responsibly to enhance efficiency and impact.
• Equity.
• Health, dental, and vision coverage.
• Retirement plan with company contributions.
• Parental leave.
• Mental health and wellness benefits.
• Flexible paid time off.
• Stipend for professional development.
• Annual bonus plan available for eligible non-sales positions.
• Reasonable accommodations for individuals with disabilities.
• In-person onboarding at Censys HQ in Ann Arbor.
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