Senior Software Engineer, Identity & Access Discovery

Description Keeper Security is hiring an experienced Senior Software Engineer to join our Privileged Access Management team and lead backend development for Discovery capabilities within KeeperPAM. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the Chicago, IL or El Dorado Hills, CA metro areas. Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Join one of the fastest-growing cybersecurity companies and help build the systems that discover and secure privileged identities and infrastructure across complex enterprise environments. About Keeper Keeper Security is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. Keeper is a pioneer of zero-knowledge and zero-trust security built for any IT environment. Its core offering, KeeperPAM®, is an AI-enabled, cloud-native platform that protects all users, devices and infrastructure from cyber attacks. Recognized for its innovation in the Gartner Magic Quadrant for Privileged Access Management (PAM), Keeper secures passwords and passkeys, infrastructure secrets, remote connections and endpoints with role-based enforcement policies, least privilege and just-in-time access. Learn why Keeper is trusted by leading organizations to defend against modern adversaries at KeeperSecurity.com. About the Job As a Senior Software Engineer on Keeper's PAM Discovery team, you will be a primary developer for the backend discovery service that identifies privileged accounts, service accounts, keys and machines across Active Directory, cloud IAM, databases and endpoints so they can be brought under secure management and rotation. This is primarily a backend engineering role, most of your time will be spent building services, data pipelines and integrations in Python, with some Java/Kotlin work on our cloud services and occasional changes to our TypeScript/React administrative interface. What makes this problem interesting: Discovery runs on gateways deployed inside customer environments that Keeper cannot access directly, so the system has to be resilient, self-diagnosing and safe even when debugging access is limited and deployed versions vary. And Keeper's zero-knowledge architecture requires discovered data to be encrypted before it leaves the customer environment, which rules out most of the conventional answers for how that data can be processed, indexed and presented. Responsibilities Design and develop the Python discovery engine that runs on customer-deployed gateways, and the Java/Kotlin cloud services that store and serve discovered data Build systems that discover privileged accounts, service accounts, keys, machines and related identity data across Active Directory, cloud IAM, databases and endpoints Solve identity correlation and reconciliation challenges, including determining when accounts discovered across multiple systems represent the same principal Build incremental re-scan and state-reconciliation capabilities that maintain an accurate view of customer environments without accumulating duplicate or stale data Build the test coverage and diagnostic tooling that let us trust code we can't debug in the field: unit, integration and automated tests, plus logging and error reporting good enough to root-cause an issue from a customer's logs alone Design discovery workflows that operate safely inside customer production networks, respecting API limits, limiting blast radius and remaining resilient to partial failures across large environments Develop secure data-processing workflows that operate within Keeper’s zero-knowledge architecture and protect discovered data throughout collection, transmission and storage Collaborate with Product, QA and other PAM engineers on technical design, testing, troubleshooting and delivery of Discovery features Use AI-assisted tools such as Claude, ChatGPT…