Senior Software Engineer, Streaming Attribution

Posted 9 Days Ago
Be an Early Applicant
8 Locations
160K-190K Annually
3-5 Years Experience
Information Technology • Internet of Things • Security • Software • Cybersecurity
A safer Internet starts with Censys.
The Role
Seeking a Senior Software Engineer, Streaming Attribution to research solutions, implement code in data pipeline, explore new technologies, and maintain a customer-focused approach. Responsibilities include developing microservices, designing automated solutions, and prioritizing customer feature requests.
Summary Generated by Built In

At Censys, our mission is to bring internet visibility and intelligence to the world’s security teams. Our platform not only identifies potential threats, but provides actionable insights and enables proactive defense strategies. Founded by researchers and practitioners, we are deeply committed to the quality, trustworthiness, and transparency of our data and results. As our own strongest critics, we continuously innovate to better understand the Internet and empower our customers with the visibility they need to succeed.

We’re seeking a to join our team. Our Internet Intelligence Platform is the growth product for Censys and it relies on us having a world-class Streaming Attribution engine for the most real-time solution in the industry. Our ability to correctly attribute internet entities (hostnames, IP addresses, etc.) to the correct organization is the foundation. It will require someone who has both deep internet knowledge and experience to build a highly scalable streaming attribution engine. In addition to deep internet domain knowledge, the candidate will have experience in data pipelines, stream/batch processing at scale, and building out APIs.

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.

  •  We celebrate intelligence and foster a culture where tackling cybersecurity challenges is exciting and rewarding.
  • Our diverse team brings together various talents and backgrounds, fostering true innovation through diverse perspectives.
  • At Censys, we encourage questioning the status quo, experimenting, and pushing boundaries to drive breakthroughs.
  • Collaboration is at the heart of our success, fueled by a shared passion for disrupting the cybersecurity scene.
  • Your innovations at Censys make waves in real-world cybersecurity, shaping the future and leaving a lasting legacy.
  •  We prioritize work-life balance and support your well-being inside and outside the office.
  •  Your voice matters at Censys; we champion an inclusive culture where diverse perspectives drive change.

  • This role has 2 parts. First, you will research solutions to increase attribution coverage and reduce false positives. Second, you will help implement those solutions as code in the Streaming Attribution data pipeline.
  • You will be using and exploring multiple technologies, often being the first to try a new platform or architectural design.
  • Develop “pivot” microservices to find potential paths that can be attributed. For example, one might be certificate domains to IP addresses.
  • Design automated solutions for building, testing, monitoring, and deploying applications in a Continuous Integration (CI) and Continuous Delivery (CD) environment.
  • Maintain a strong customer focus, prioritizing customer feature requests and helping define the Streaming Attribution roadmap.

  • A positive attitude biased towards action and iterative problem solving, learning as we grow every step of the way.
  • A deep understanding of internet data and how internet asset attribution to a company might work. For example, WHOIS, Certificate Subject Alternative Names (SANs), and DNS record types should not be foreign to you.
  • 3+ years of experience building out scalable data pipelining solutions across billions of records.
  • 5+ years of experience with common data-oriented programming languages, such as Golang, Python, and Scala.
  • 3+ 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.

  • A cyber security engineering background with existing knowledge of helpful data sets and services that could be used for attribution.
  • 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.
  • 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 roots are in Ann Arbor, Michigan with location hubs in Seattle, the Bay Area, Washington D.C., and Dublin, Ireland. Our innovation is fueled by the team’s global perspectives and diverse backgrounds. 


Top Skills

Java
Python
The Company
HQ: Ann Arbor, MI
128 Employees
Hybrid Workplace
Year Founded: 2017

What We Do

At Censys we believe that cybersecurity is critical to the future of our global economy. And in order to evolve cybersecurity defenses, both the public and private sector need access to best-in-class intelligence data. By arming our customers with the visibility and insights that they need to protect against critical threats, Censys provides the intelligence needed to bolster cybersecurity capabilities worldwide.

Why Work With Us

We are a rapidly growing cyber security startup based in Ann Arbor, Michigan. Our innovation is fueled by the team’s global perspectives and diverse backgrounds. We welcome healthy debate, constructive conversations, and outside-the-box thinking to ensure we are moving fast, learning things, and iterating quickly.

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