Join the team turning internet intelligence into real-world security outcomes. Built on the world’s most comprehensive and accurate map of the Internet, the Censys Platform delivers real-time visibility and actionable intelligence needed to accelerate triage, investigate threats, hunt adversaries, and manage Internet exposure. We're trusted by half of the Fortune 500 and government agencies all around the world, and looking for people as passionate about the problems we're solving as we are.

Location

This is a fully remote position within the United States or Canada.

Role Summary

We’re looking to hire a Staff Backend Software Engineer to join our team. In this capacity, you will contribute to the development of specialized tools for threat hunters, SOC analysts, and incident response professionals within the Censys Platform. Your responsibilities will involve advancing our Adversary Investigation module by architecting resilient APIs and scalable microservices for our SaaS infrastructure. By collaborating with engineering and product partners, you will transform intricate needs into sustainable software that delivers vital security intelligence. Your work will empower users to navigate the global Internet, identify emerging threats, and strengthen their organizational defenses.

What You’ll Do

Architect and refine robust backend services to drive the capabilities of the Adversary Investigation module
Collaborate cross-functionally with Product, Design, and Frontend teams to create high-impact solutions for our customers
Maintain end-to-end ownership of the development cycle, from automating builds and testing to deployment and ongoing monitoring
Facilitate data-intensive user experiences by integrating both internal systems and external APIs
Engage in a fast-paced, iterative environment focused on technical excellence and proactive feedback loops

What You’ll Bring

10+ years of professional experience building distributed web applications and APIs
Experience with building microservices.
Experience with Go, Java, Python, or Scala AND a desire to work with Go in this role.
Experience with at least one cloud provider, like GCP, AWS, or Azure
Familiarity with Docker and interest in improving our CI/CD deployment process
Desire to improve test coverage and increase code maintainability
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.
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

What Sets You Apart

Familiarity with a gRPC or REST
Experience with microservice-based designs with GCP PubSub, Kafka or other
Experience with different databases, like: Redis, BigTable, BigQuery, Postgres
Experience building, deploying, and maintaining containerized services in a Kubernetes
Familiarity with other web technologies such as TypeScript, JavaScript, and proficiency with React is a plus
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.