Job description

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, GitHub Copilot or similar platforms to support development, debugging, research and documentation Requirements 8+ years of professional software development experience, with a strong focus on backend systems Strong Python experience with Python is the primary language of Keeper's Discovery engine Working proficiency in Java or Kotlin for backend services, plus enough comfort in TypeScript/React to make changes in our administrative interface when needed Strong experience with distributed systems, APIs and data-processing pipelines, including systems that must run reliably in environments you don't control Hands-on experience with Active Directory and/or LDAP Working knowledge of at least one major cloud IAM model, such as AWS IAM and Organizations, Microsoft Entra ID or GCP IAM Strong knowledge of secure software development practices, authentication, authorization and encryption Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience Strong data modeling instincts, ideally including graph or relationship-oriented models Due to this role's involvement in GovCloud and FedRAMP environments, qualified candidates must be a U.S. Person, defined as a U.S. citizen or lawful permanent resident Preferred Qualifications Experience developing Privileged Access Management, identity security or cybersecurity products Experience with identity discovery, account discovery, asset inventory or similar infrastructure discovery systems Experience with containerized or cloud-native applications Experience developing high-scale enterprise SaaS products Benefits Medical, Dental & Vision (inclusive of domestic partnerships) Employer Paid Life Insurance & Employee/Spouse/Child Supplemental Life Voluntary Short/Long Term Disability Insurance 401K (Roth/Traditional) A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc.) Above-market annual bonuses Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees. Classification: Exempt Keeper Candidate Privacy Notice This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan). 1. Data We Collect Information You provide: Contact details, CV/resume, cover letter Employment history, qualifications, work eligibility Application responses and uploaded documents Information We generate: Interview notes, assessments, communications Scheduling information Information From Others: Recruiter/referral information who submit your profile References (with your consent, before final offer) Public professional profiles Background verification (post offer) Voluntary Diversity and Equal Opportunity Information We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements 2. How We Use Your Data Assess your application and suitability Manage interviews and recruitment workflow Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified) Comply with employment law obligations 3. Legal Basis Legitimate Interests (recruitment management, security and integrity of the hiring process) Contracting steps (for progressed candidates) Legal and regulatory compliance obligations; explicit consent where required 4. Who We Share Information With Internal: HR, hiring managers, interviewers*, IT support for system administration *Note - diversity and equal opportunity data is not shared with hiring managers. Third Parties: Service providers who assist with: Applicant tracking, recruitment systems and assessment providers Background verification vendors (post offer) Recruitment agencies (where applicable) Tools to support communication, collaboration and to securely store your data Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place. 5. International Transfers Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws. 6. Security We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards. 7. Retention We keep your data for 24 months from your last application activity, then delete or anonymize it. Exceptions: You opt into our talent database for further retention by providing consent (extended retention) You're hired (transfers to employee records) 8. Your Rights You have the following rights and can contact us at the email below to exercise them: Access, correct, or delete your data, subject to applicable law and retention requirements Object to or restrict processing Withdraw consent (where applicable) Request data portability Lodge a complaint with your data protection authority If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law. When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights. 9. Automated Decisions Keeper does not make hiring decisions using solely automated processing. 10. Contact - Candidates can send privacy questions to: privacy@keepersecurity.com

Requirements

Must-haves

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
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, GitHub Copilot or similar platforms to support development, debugging, research and documentation
8+ years of professional software development experience, with a strong focus on backend systems
Strong Python experience with Python is the primary language of Keeper's Discovery engine
Working proficiency in Java or Kotlin for backend services, plus enough comfort in TypeScript/React to make changes in our administrative interface when needed
Strong experience with distributed systems, APIs and data-processing pipelines, including systems that must run reliably in environments you don't control
Hands-on experience with Active Directory and/or LDAP
Working knowledge of at least one major cloud IAM model, such as AWS IAM and Organizations, Microsoft Entra ID or GCP IAM
Strong knowledge of secure software development practices, authentication, authorization and encryption
Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience
Strong data modeling instincts, ideally including graph or relationship-oriented models
Due to this role's involvement in GovCloud and FedRAMP environments, qualified candidates must be a U.S. Person, defined as a U.S. citizen or lawful permanent resident
Contact details, CV/resume, cover letter
Employment history, qualifications, work eligibility

Nice-to-haves

Experience developing Privileged Access Management, identity security or cybersecurity products
Experience with identity discovery, account discovery, asset inventory or similar infrastructure discovery systems
Experience with containerized or cloud-native applications
Experience developing high-scale enterprise SaaS products

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonjavakotlintypescriptreactapiawsgcp

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto