
Senior Integrations Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States, +2 more locations.
• Establish the technical vision for Censys’s integration portfolio, which includes over a dozen integrations.
• Oversee integration delivery involving both internal engineers and external vendor partners.
• Develop and sustain integrations with AWS, Azure, GCP, SIEM, SOAR, and TIP platforms.
• Collaborate with third-party engineering teams, Alliances, and Marketing to launch and certify integrations.
• Design, implement, and maintain connections between the Censys Platform and external SOAR, SIEM, and TIP solutions.
• Create and operate highly available, scalable API connectors.
• Contribute to and maintain Censys open-source APIs and SDKs.
• Develop AI Agent skills and plugins tailored for Agentic workflows.
• Provide guidance for AI Agents to establish and manage integrations.
• Design and implement automated CI solutions for integration building, testing, monitoring, and deployment.
• Act as an advocate for customers, prioritize integration requests, and shape the integrations roadmap.
• Keep abreast of emerging SOAR, SIEM, and TIP technologies to inform integration strategy.
• At least 5 years of experience in software engineering.
• Minimum of 2 years focusing on integrations or robust backend systems.
• Over 3 years of experience with Python or Go.
• In-depth expertise in API-first development and seamless service integration.
• Demonstrated capability to unify multiple APIs into a cohesive platform with strong service contracts.
• Experience in directing a multi-integration or platform initiative and mentoring engineers.
• Strong knowledge of CI/CD practices and experience enhancing deployment and developer workflows.
• Proficiency in writing clean, maintainable, and scalable code.
• Outstanding communication and documentation skills.
• Practical experience integrating with security platforms such as Splunk, Cortex XSOAR, Anomali, or Recorded Future.
• Background in cybersecurity engineering.
• Experience in integrating with vendor marketplaces like AWS or Splunk.
• Expertise in REST/gRPC microservice architecture.
• Interest in employing AI and LLM tools for software development.
• Familiarity with cloud service providers, particularly Google Cloud.
• Experience in building, deploying, and maintaining containerized services within Kubernetes environments.
• Experience in enforcing test coverage through CI practices, linters, and code complexity checks.
• Flexible remote work arrangement.
• Remote compensation adjusted according to the employee's work location, ranging from 83%–100% of the specified salary range (exact range not provided).
• Reasonable accommodations available for individuals with disabilities.
• In-person onboarding experience in Ann Arbor, Michigan.
• Commitment to an equal opportunity and inclusive workplace.
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