opengreenhousegv
Senior Backend Engineer, SOC & Threat Hunting
Censys
LocationRemote (US/Canada), Remote
WorkplaceFull
Last observed2026-06-13 05:23:29.028511
Job idgv-censys:greenhouse:8527413002
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. Location: This is a fully remote position within the United States or Canada. Role Summary: We’re looking to hire a Senior 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: 5+ years of professional experience building distributed web applications and APIs Experience with building microservices in GO (2+ years) 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 $173,000 USD - $206,000 USD, plus bonus eligibility and equity. For all other US locations, the expected salary range for this position is $151,000 USD - $192,000 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 expe
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