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, 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

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