DigiCert
intelligent trust
SeniorSoftwareDevelopmentEngineerinTest
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Development Engineer in Test at DigiCert. Skills: automated validation across backend, infrastructure, runtime, and end-to-end operator workflows, automated tests for APIs, distributed systems, or cloud-native platforms, integration and end-to-end testing for systems that involve multiple services, infrastructure dependencies, or asynchronous workflows, CI systems, test reporting, flaky test reduction, debugging failures in complex pipelines. Build and maintain automated test cov”
What You'll Achieve.
gives the team confidence to ship the AI Agent Trust without breaking critical trust and enforcement behavior; reduce test brittleness and increase developer velocity
Industry & Context.
What They're Looking For.
Must Have
experience writing automated tests for APIs, distributed systems, or cloud-native platforms, Experience with integration and end-to-end testing for systems that involve multiple services, infrastructure dependencies, or asynchronous workflows, Comfort working in at least one automation language such as TypeScript, Python, Go, or Java, Practical knowledge of CI systems, test reporting, flaky test reduction, and debugging failures in complex pipelines, A mindset focused on engineering quality, signal over noise, and building sustainable test coverage rather than check-box QA, Startup Mindset: Comfortable operating in ambiguity. Bias toward shipping and iterative improvement
Nice to Have
Experience testing security-sensitive or identity-sensitive flows is a advantage, Familiarity with Kubernetes-based test environments, containerized services, or infrastructure-assisted testing is highly valuable, Experience owning complete test infrastructure and toolsets
What You'll Do.
Build and maintain automated test coverage across control-plane services
and deployment lifecycle paths
Develop integration and end-to-end tests for Kubernetes-based enforcement
Build test strategies for Agents based in cloud: Kubernetes and serverless
and agents running as SaaS
Improve CI pipelines so the right levels of testing run automatically for backend
and infrastructure-sensitive changes
Create repeatable test fixtures
and data setup patterns that reduce test brittleness and increase developer velocity
Contribute to non-functional validation such as resiliency checks
failure-path validation
and targeted performance regression tests where needed
How You'll Work.
Team & Collaboration
Partner with backend, frontend, and platform engineers to define testable interfaces, improve diagnosability, and prevent regressions before release
Full Job Description
Who we are DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com Job summary We are building the trust layer for the agentic future. As AI agents move from simple chatbots to autonomous workloads with access to sensitive enterprise data, the industry lacks a standard for Identity, Authentication, and Governance. This role will own the automation strategy that gives the team confidence to ship the AI Agent Trust without breaking critical trust and enforcement behavior. This is not a manual QA coordinator role. It is an engineering role focused on automated validation across backend, infrastructure, runtime, and end-to-end operator workflows. What you will do Build and maintain automated test coverage across control-plane services, API contracts, UI workflows, identity flows, policy enforcement, and deployment lifecycle paths. Develop integration and end-to-end tests for Kubernetes-based enforcement. Build test strategies for Agents based in cloud: Kubernetes and serverless, and agents running as SaaS. The tests will include identity exchange, attestation, hosted proxy or external policy flows, and negative-path enforcement cases. • Improve CI pipelines so the right levels of testing run automatically for backend, frontend, and infrastructure-sensitive changes. Create repeatable test fixtures, seeded environments, mock services, and data setup patterns that reduce test brittleness and increase developer velocity. Partner with backend, frontend, and platform engineers to define testable interfaces, improve diagnosability, and preven
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