Staff Software Engineer, Distributed Systems

Censys knows the internet and cloud better than anyone else. Attack Surface Management provides customers with an attacker-centric view of all externally facing internet and cloud to extend visibility, prioritize, and remediate the most critical risk exposures that will actually lead to a breach. Our daily IPv4 scans and the world’s largest SSL/TLS Certificate database enables customers with the most accurate and continuously updated attack surfaces. Enterprise security teams leverage Censys to keep pace with the speed of the business and gain an advantage on the rapidly evolving cyber-attack threats.

Location 

This is a hybrid role based in one of our four hubs: Ann Arbor, MI / Los Altos, CA / Kirkland, WA / Tysons Corner, VA

Role Summary

We’re seeking a Staff Software Engineer, Distributed Systems to join our team. The Censys Platform is the growth product for Censys and it relies on us processing and analyzing billions of internet telemetry data points. The candidate will have experience in data pipelines, stream/batch processing at scale, and building out APIs. Having a solid understanding of internet inter-workings is a big plus.

We expect all of our employees to consider customer happiness as our primary goal and a willingness to come to work every day with a great attitude, both eager to learn and educate, which helps to make us a better organization every day.

What You’ll Do

• Build and maintain data pipelining solutions including both streaming and batch workloads.
• Scale systems to handle hundreds of billions of data points with cost efficiency in mind.
• Use and explore multiple technologies, often being the first to try a new platform or architectural design.
• Deliver quality changes, including automated tests, metrics and monitoring.
• Maintain a strong customer focus, prioritizing customer feature requests and helping define our roadmap.

What You’ll Bring

• A positive attitude biased towards action and iterative problem solving, learning as we grow every step of the way.
• 5+ years of experience building out scalable data pipelining solutions across billions of records.
• 8+ years of experience with common data-oriented programming languages, such as Golang.
• 5+ years of experience with continuous integration and continuous delivery tools and methodologies.
• Experience with REST/GRPC and service-oriented architectures.
• The ability to thoughtfully participate in technical discussions and drive towards data-driven decisions amidst ambiguity and competing priorities.
• Strong communication and documentation skills. Explaining complex technical concepts to other engineers, designers, salespeople, and content marketers is no problem for you.

Bonus Points

• You have experience with multiple streaming and batch processing solutions such as Spark, Flink, GCP Dataproc, microservice-based designs with GCP PubSub, etc, and know their tradeoffs.
• Deep knowledge working with a large Elasticsearch cluster for full text search and analytics. You should know how to optimize shards and more.
• You understand the value of building maintainable software. Some of your first tasks when building a new service are ensuring test coverage enforced by CI, adding linters, and adding code complexity checks. You enjoy a good abstraction, and promote established design patterns, but also know when to think outside the box.

Our target salary range for this role is between $190,000 - $246,000 USD + bonus eligibility and equity.

In addition to our great compensation package, our benefits are effective on day one and include but are not limited to 401k match, health, vision, dental, and more! Please see our careers page for more details.

Our roots are in Ann Arbor, Michigan with location hubs in Seattle, the Bay Area, and Tysons, VA. Our innovation is fueled by the team’s global perspectives. For this role, we are looking for candidates based in one of our four hub locations: Seattle, WA, Los Altos, CA, Tysons, VA, or Ann Arbor, MI and will be required to go into one of the offices on Tuesdays, Thursdays, and a third day of choice. 

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