- 5+ 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 $174,000 USD - $206,000 USD, plus bonus eligibility and equity.
For all other locations, the expected salary range for this position is $151,000 USD - $191,000 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.
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.
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.
Identity Verification
As part of our hiring process, all candidates who receive an offer of employment will be asked to complete an identity verification through CLEAR.