Censys - Staff Backend Engineer, Exposure Management- Golang

• A positive attitude biased towards action and iterative problem solving, even in legacy code where the answer isn’t obvious • A deep understanding of how the Internet works. For example, WHOIS, Certificate Subject Alternative Names (SANs), and DNS record types should not be foreign to you • 10+ years of experience in software engineering • 5+ years of experience with Golang • Strong distributed systems background, including the ability to build horizontally scalable systems with high availability and fault-tolerance • Experience with service-oriented architectures and the operational stack to support them (gRPC/REST, microservices, GCP, Kubernetes) • Ability to quickly navigate unfamiliar legacy systems, reverse-engineer existing behavior, and resolve complex issues with minimal disruption to execution. • Strong communication and technical design skills, including the ability to clearly document architectures, identify systemic gaps, and drive solutions from concept through implementation. • What Sets You Apart • What Sets You Apart • Passion for integrating AI and LLM technologies into engineering workflows to improve velocity, automation, and product experience. • Experience leading product migrations or platform consolidations, balancing legacy customer commitments with new development on a parallel platform • Familiarity with microservice-based designs using GCP PubSub or similar event-driven architectures • 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 • For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $198,000 USD – $233,000 USD, plus bonus eligibility and equity. • For all other US locations, the expected salary range for this position is $172,000 USD – $216,000 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.