Job description

Description Keeper Security is hiring a Senior DevOps Validation Engineer to design, build and automate validation frameworks for the cloud infrastructure, deployment pipelines and platform services that support Keeper’s products.This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas. Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and help strengthen the reliability, security and compliance of the infrastructure and automation that power Keeper’s cloud services. 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 Role As a Senior DevOps Validation Engineer, you will build software and automation that validates infrastructure, deployment pipelines and cloud environments before changes reach production. This is not a traditional QA role. You will work as an embedded member of the DevOps organization and apply software engineering principles to infrastructure validation, release confidence and operational resilience. You will develop reusable validation frameworks, automate testing of infrastructure-as-code, verify cloud and networking changes, test failure and recovery scenarios and integrate automated safeguards into CI/CD workflows. You will work closely with DevOps, Platform Engineering, Security and Compliance teams to identify risk earlier in the delivery lifecycle and improve the reliability of Keeper’s cloud environments. Responsibilities Design and build automated validation frameworks for cloud infrastructure, infrastructure-as-code and deployment workflows Develop production-quality automation and test utilities using Python, Go or similar programming languages Validate AWS infrastructure including VPCs, subnets, routing, NAT gateways, IAM, security groups, load balancers and related services Build automated validation for Terraform, CloudFormation, Ansible and other infrastructure-as-code implementations Integrate infrastructure and deployment validation into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI or similar platforms Develop automated integration, regression, smoke, resilience and failure-recovery tests for infrastructure and platform changes Test Kubernetes and containerized environments for configuration, reliability, scalability and security Verify that application and platform services continue to function correctly as infrastructure and deployment configurations evolve Validate infrastructure hardening and configuration against CIS benchmarks, DISA STIGs and applicable compliance requirements Build reusable tooling that detects configuration drift, deployment defects and infrastructure regressions before production release Analyze logs, metrics and telemetry to troubleshoot complex cloud and infrastructure failures Partner with DevOps and Platform engineers to improve infrastructure testability, deployment safety and release confidence Contribute to engineering reviews involving infrastructure changes, automation design and operational risk Support audit readiness and continuous compliance through repeatable automated validation and technical evidence Improve observability and diagnostic capabilities for infrastructure validation workflows Use AI-assisted tools such as Claude, ChatGPT, GitHub Copilot or similar platforms to accelerate coding, debugging, root-cause analysis, technical research and documentation Requirements 5+ years of professional software engineering, DevOps engineering, infrastructure automation or similarly code-intensive engineering experience Demonstrated software engineering experience developing maintainable automation, frameworks, services or internal engineering tools Strong programming skills in Python, Go or another general-purpose programming language used for infrastructure and automation engineering Strong understanding of software engineering fundamentals including modular design, testing, debugging, code review and source control Hands-on experience with AWS infrastructure and networking, including VPCs, subnets, routing, NAT gateways, IAM, security groups and load balancing Strong experience with infrastructure-as-code technologies such as Terraform, CloudFormation or Ansible Experience designing automated validation or testing for infrastructure, deployment pipelines or distributed systems Experience integrating automation into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI or similar technologies Hands-on experience with Docker and Kubernetes Strong understanding of Linux environments, networking and cloud infrastructure fundamentals Experience troubleshooting infrastructure and distributed-system issues using logs, metrics and observability platforms such as Datadog Experience with Git-based software development workflows, pull requests, peer review and automated delivery practices Understanding of reliability concepts including fault tolerance, failure recovery, deployment safety and operational resilience Familiarity with security hardening or compliance requirements such as CIS benchmarks, DISA STIGs, FedRAMP, SOC 2 or ISO 27001 Ability to collaborate effectively with DevOps, Platform Engineering, Security and Compliance teams on complex technical problems Ability and willingness to use AI-assisted development tools effectively to improve coding, debugging, analysis and documentation Bachelor’s degree in Computer Science, Engineering or a related technical field, or equivalent practical experience Preferred Qualifications Experience building internal developer tools, validation frameworks or infrastructure automation platforms Experience with automated infrastructure testing frameworks such as Terratest, pytest or similar technologies Experience testing Kubernetes infrastructure, container security or deployment resilience Experience with AWS GovCloud, Azure Government or other regulated cloud environments Experience validating infrastructure in FedRAMP High, DoD IL5 or similarly regulated environments Familiarity with vulnerability scanning, configuration drift detection, policy-as-code or compliance-as-code tooling Experience with secrets management, IAM, PAM or zero-trust security architectures Familiarity with chaos engineering, resilience testing or automated failure injection AWS, Kubernetes, Terraform or related technical certifications 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 build automated validation frameworks for cloud infrastructure, infrastructure-as-code and deployment workflows
Develop production-quality automation and test utilities using Python, Go or similar programming languages
Validate AWS infrastructure including VPCs, subnets, routing, NAT gateways, IAM, security groups, load balancers and related services
Build automated validation for Terraform, CloudFormation, Ansible and other infrastructure-as-code implementations
Integrate infrastructure and deployment validation into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI or similar platforms
Develop automated integration, regression, smoke, resilience and failure-recovery tests for infrastructure and platform changes
Test Kubernetes and containerized environments for configuration, reliability, scalability and security
Verify that application and platform services continue to function correctly as infrastructure and deployment configurations evolve
Validate infrastructure hardening and configuration against CIS benchmarks, DISA STIGs and applicable compliance requirements
Build reusable tooling that detects configuration drift, deployment defects and infrastructure regressions before production release
Analyze logs, metrics and telemetry to troubleshoot complex cloud and infrastructure failures
Partner with DevOps and Platform engineers to improve infrastructure testability, deployment safety and release confidence
Contribute to engineering reviews involving infrastructure changes, automation design and operational risk
Support audit readiness and continuous compliance through repeatable automated validation and technical evidence
Improve observability and diagnostic capabilities for infrastructure validation workflows

Nice-to-haves

Experience building internal developer tools, validation frameworks or infrastructure automation platforms
Experience with automated infrastructure testing frameworks such as Terratest, pytest or similar technologies
Experience testing Kubernetes infrastructure, container security or deployment resilience
Experience with AWS GovCloud, Azure Government or other regulated cloud environments
Experience validating infrastructure in FedRAMP High, DoD IL5 or similarly regulated environments
Familiarity with vulnerability scanning, configuration drift detection, policy-as-code or compliance-as-code tooling
Experience with secrets management, IAM, PAM or zero-trust security architectures
Familiarity with chaos engineering, resilience testing or automated failure injection
AWS, Kubernetes, Terraform or related technical certifications

Application prep

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

Keywords to mirror

aici/cdpythongoawskubernetesdockerazure

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto