Distributed Systems Engineer

Location: This position is remote within the United States.

Role Summary:

We’re looking to hire a Distributed Systems Engineer to build scalable services, APIs, frameworks, and internal tooling that process large 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 high-quality datasets, APIs, and engineering foundations that turn research and detection ideas into production-ready capabilities.

At Censys, we believe in working iteratively while keeping the big picture in mind. We’re expanding our data platform to enable future products and features that make the Internet more explainable by adding richer context and showing complex relationships. We’re looking for someone who is curious, collaborative, and excited to grow while contributing to our mission.

What You’ll Do:

• Help build large scale, real-time services and applications which leverage our massive datasets to power internal APIs and external applications.
• Build tooling, libraries, frameworks, and services that support security, research and data platform initiatives.
• Productionize prototypes into reliable internal tools, services, or platform capabilities.
• Participate in planning and technical discussions with engineering and product teams to help build the right solutions.
• Develop and maintain systems such as data pipelines, messaging systems, databases, caching layers, and services that run in the cloud or on-prem.
• Work with Machine Learning Engineers and Security Researchers to realize solutions that affect security outcomes.

Skills You Have:

• 3+ years of software engineering experience building 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 or familiarity with message queue technologies, like: AWS Kinesis , Google Pub/Sub, Kafka, or other.
• Experience working with databases, like: BigTable, Cloud Spanner, HBase, Cassandra, or other.
• Understanding of core distributed systems concepts such as scalability, fault tolerance, and reliability.
• Familiarity with using AI.
• Ability to write understandable, testable code with an eye towards maintainability.
• Strong communication skills and the ability to work effectively with other engineers and product managers.
• Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

Things that make you stand out:

• Familiarity with gRPC or REST.
• Familiarity with data serialization technologies, like: Protobuf, MessagePack, etc.
• Experience building, deploying, or maintaining containerized services in Kubernetes.
• An understanding of how the Internet works; how machines and services communicate using defined protocols / standards.
• Any Security Domain knowledge is a bonus

For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $143,000 USD - $177,000 USD, plus bonus eligibility and equity.

For all other US locations, the expected salary range for this position is $125,000 USD - $165,000 USD, plus bonus eligibility and equity.

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Censys offers a competitive benefits package to employees, including equity, health, dental & vision coverage, retirement with company contribution, parental leave, mental health & wellness benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Censys’s compensation and benefits are subject to change and may be modified in the future. Please see our careers page for more details.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. Additionally, if hired, we would love to bring you to our HQ in Ann Arbor for in-person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy.

Our roots are in Ann Arbor, Michigan and our innovation is fueled by the team’s global perspectives. For this role, we are open to remote employees across the continental US. We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer.

Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team.