Censys

You would lead development of scalable connectors between the Censys platform and third-party security systems, while supporting automated workflows with AI agent skills. | The role requires 5+ years of software engineering experience, at least 2 years in integrations or backend systems, and strong API-first development skills with Python or Go. | 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. Role Summary: We’re looking for a Senior Integrations Software Engineer to help build and evolve our next-generation Censys Platform. You’ll work closely with product and engineering teams building, deploying and maintaining scalable integrations between our Censys platform and third-party systems such as SIEMs, SOARs, and Threat Intelligence Platforms (TIPs). These integrations connect Censys Platform with critical security platforms, enriching attack surface data and delivering actionable insights directly into the tools practitioners and CISOs depend on for visibility, threat hunting and incident response. You will play a critical part in helping organizations and critical security providers of all shapes and sizes truly understand everything on the Internet and help make it a safer place. What You’ll Do: Set the technical direction for Censys's integrations portfolio: decide what we build and how we build it, across a dozen-plus integrations. Lead integration delivery across internal engineers and external vendor partners, setting standards, reviewing work, and ensuring long-term maintainability. Build and maintain integrations with cloud platforms (AWS, Azure, GCP) and security operations platforms (SIEM, SOAR, TIP). Partner directly with third-party engineering teams, and with our Alliances and Marketing teams, to launch and certify integrations. Design, implement, and maintain robust integrations between the Censys Platform and external SOAR, SIEM, and TIP solutions. Develop and operate highly available, scalable API connectors. Contribute to and maintain existing Censys open-source APIs and SDKs. Advance the next generation of integrations by developing AI Agent skills and plugins to support Agentic workflows. Create instructions for AI Agents to build new integrations and maintain existing ones. Design and implement automated solutions for continuous integration, covering the building, testing, monitoring, and deployment of integrations. Act as a strong advocate for the customer, prioritizing requests, and actively shaping the integrations roadmap. Keep current with emerging SOAR, SIEM, and TIP technologies to inform and guide the overall integration strategy. What You’ll Bring: Own it! Independently drive and implement integrations, working closely with PM, customer success, and partners. Technical leadership: you've set direction for a multi-integration or platform effort and grown the engineers around you. 5+ years in software engineering, with 2+ years focused on integrations or robust backend systems. Python or Golang Pro (3+ years experience). API: Deep expertise in API-first development and seamless service integration. Master Integrator: Proven ability to unify multiple APIs into a coherent platform with solid service contracts. CI/CD Champion: Always pushing to improve deployment and developer workflows. Code Craftsmanship: Passionate about writing clean, maintainable, and scalable code. Action-Oriented: Bias for action and an iterative approach to solving problems. Data-Driven Thinker: Contribute insightful ideas to technical discussions, making fast, informed decisions. Communication Powerhouse: Excellent communication and documentation skills — able to clearly explain technical concepts across engineering and non-engineering teams What Sets You Apart: Hands-on experience integrating with security platforms (e.g., Splunk, Cortex XSOAR, Anomali, Recorded Future). A cyber security engineering background Proven success integrating with vendor marketplaces (e.g., AWS, Splunk) Expertise with expanding REST/gRPC micro-service architecture Strong interest in harnessing AI and LLM tools as a force multiplier - using it to code smarter, iterate faster boosting productivity Experience with cloud providers, (especially Google Cloud) Skilled in building, deploying, and maintaining containerized services in Kubernetes environments You understand the value of building maintainable software, while building new services you are ensuring test coverage is enforced by strong CI practices, adding linters and code complexity checks. You value clean abstraction, and promote established design patterns, but also know when to innovate beyond conventions 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. 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 in attempt to facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. You may also be required to meet a Censys employee at one point during your process. Additionally, if hired, you will be invited to visit Ann Arbor, Michigan 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. We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer. 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. California Privacy Rights Notice Pursuant to the California Consumer Privacy Act (CCPA), we are providing you with notice that we collect personal information from job applicants for business purposes, including evaluating your candidacy for employment, conducting interviews, and, if applicable, completing the hiring process. The categories of information we may collect include identifiers (such as name and contact information), professional or employment-related information (such as work history, education, and references), and other information you provide in your application. We do not sell or share your personal information. For more information on how we use and protect your personal information, and your rights under the CCPA, please refer to our Privacy Policy.

Build and maintain scalable distributed services and data pipelines for threat intelligence. | 5+ years in distributed systems software engineering with Go and cloud experience. | 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 position is remote within the United States. Role Summary: We’re looking to hire a Senior Distributed Systems Engineer on our Internet Map Connections team to build highly-available and scalable, data-driven services that provide value directly to customers and across our organization. Censys operates distributed infrastructure for Internet-wide scanning, bulk DNS resolution, and X.509 certificate ingestion: your job will be to go below the surface of our data, and help us find and attribute ownership to assets and find how assets on the Internet relate to one another. At Censys, we believe in working iteratively, but we’re always thinking about the big picture. We’re building a platform that enables fast development of future products, and integration with new data collection methods. You'd be great for this position if you're someone who considers not just initial development, but ongoing maintenance and monitoring. You consider delivery and developer experience, and everything you do can be built upon in the future by others. What You’ll Do: Help build large scale, real-time services and applications which leverage our massive datasets to power internal APIs and external applications. Build tooling, libraries, frameworks, and services that support security, research and data platform initiatives. Productionize prototypes into reliable internal tools, services, or platform capabilities. Participate in planning and technical discussions with engineering and product teams to help build the right solutions. Develop and maintain systems such as data pipelines, messaging systems, databases, caching layers, and services that run in the cloud or on-prem. Work with Machine Learning Engineers and Security Researchers to realize solutions that affect security outcomes. Skills You Have: 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. 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. Our roots are in Ann Arbor, Michigan and our innovation is fueled by the team’s global perspectives. For this role, we are open to remote employees across the continental US. We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer. #LI-DNI 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. California Privacy Rights Notice Pursuant to the California Consumer Privacy Act (CCPA), we are providing you with notice that we collect personal information from job applicants for business purposes, including evaluating your candidacy for employment, conducting interviews, and, if applicable, completing the hiring process. The categories of information we may collect include identifiers (such as name and contact information), professional or employment-related information (such as work history, education, and references), and other information you provide in your application. We do not sell or share your personal information. For more information on how we use and protect your personal information, and your rights under the CCPA, please refer to our Privacy Policy.