Senior DevOps Validation Engineer
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