Senior Distributed Systems Engineer, Censys

• We’re looking for someone with an ownership mindset, is curious, can provide mentorship, and has a collaborative spirit for our mission
• 5+ years of software engineering experience writing distributed systems (i.e. data ingestion pipelines, databases, services)
• Experience with object-oriented programming - we use Go
• Experience with at least one cloud provider, like: AWS, Azure, or GCP
• Experience with message queue technologies, like: AWS Kinesis , Google Pub/Sub, Kafka, or other
• Proficient with databases, like: BigTable, Cloud Spanner, HBase, Cassandra, or other
• Proficient at building scalable, distributed systems
• Know when and where to utilize AI
• Ability to write understandable, testable code with an eye towards maintainability
• Possess strong communication skills and can explain technical concepts to other engineers and product managers

Desirable

• We’re looking to hire a Senior Distributed Systems Engineer to build scalable services and APIs that process vast amounts of data and make them highly available, providing direct value to customers and other parts of our organization
• Censys operates distributed infrastructure for Internet-wide scanning and you will help us continue our mission to build the highest quality datasets and APIs that lead to insights about the Internet at large
• At Censys, we believe in working iteratively, but we’re always thinking about the big picture. We’re expanding our data platform to enable future products and features to make the Internet an explainable map, providing additional, rich context, and showing complex relationships
• Build large scale, real-time streaming services and applications which leverage our massive datasets to power internal APIs and external applications
• Own the design and development phases of backend services and APIs that power the data platform that is our Internet Map
• Own planning activities to ensure we’re building the right things, by collaborating with engineering and product teams
• Leverage your experience of architecture and design to build various parts of the system, including components like: messaging queues, databases, ingestion pipelines, caching layers, and services that run in the cloud or on-prem