Senior Backend Engineer, Exposure Management

Company Background

Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide.

Remote (US/Canada)

Censys is seeking a Senior Backend Engineer to join our Exposure Management team. Our Exposure Management solution is a growth product for Censys and depends on a world-class backend architecture to deliver real-time, high-fidelity visibility to our customers. We’re looking for an engineer who can design, build, and extend large‑scale, real-time backend services that leverage Censys’ massive datasets to power internal product APIs and external customer-facing applications.

This role requires someone who is comfortable owning backend services end-to-end, integrating data from multiple internal systems, and operating in production environments where reliability, observability, and correctness matter. As with all roles at Censys, we expect a strong customer focus, a collaborative mindset, and a desire to continuously learn and improve both our systems and our team.

• Design, build, and own backend APIs and gRPC services that integrate data from multiple internal teams and systems in a clean, well‑architected manner
• Build and evolve real-time and near–real-time backend services and data pipelines that power Exposure Management and Attack Surface Management products
• Leverage AI and LLMs to enhance automation, accelerate development workflows, and improve customer‑facing intelligence
• Partner closely with Product and other Engineering teams to prioritize features, influence the Exposure Management roadmap, and deliver customer value on tight timelines
• Provide technical leadership through design reviews, mentorship, and setting a high bar for code quality, performance, and operational reliability
• Design and maintain automated CI/CD workflows, including testing, monitoring, alerting, and deployment, to ensure services are production-ready and observable

• A positive attitude biased towards action and iterative problem solving, learning as we grow every step of the way.
• 5+ years of experience in software engineering.
• 3+ years of experience with Golang.
• Experience designing and consuming REST and gRPC APIs in service‑oriented or microservice architectures.
• Strong distributed systems fundamentals, including experience building horizontally scalable, fault‑tolerant systems.
• 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.

• Strong interest in harnessing AI and LLM tools as a force multiplier – using it to code smarter, iterate faster, boosting productivity and enhancing product capabilities.
• You have experience with microservice‑based designs with GCP Pub Sub, etc, and know their tradeoffs.
• Experience building, deploying, and maintaining containerized services in a Kubernetes‑based environment.
• 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.
• 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.

For high‑cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $165,000 USD – $188,000 USD, plus bonus eligibility and equity.

For other US locations, the expected salary range for this…