Senior Software Development Engineer in Test

• *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 prevent regressions before release.
• Contribute to non\-functional validation such as resiliency checks, failure\-path validation, and targeted performance regression tests where needed.

• *What you will have**

• Strong 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 strong 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.
• Experience testing security\-sensitive or identity\-sensitive flows is a strong advantage.
• Familiarity with Kubernetes\-based test environments, containerized services, or infrastructure\-assisted testing is highly valuable.
• 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
• Experience owning complete test infrastructure and toolsets.

• *Benefits**

• Generous time off policies
• Top shelf benefits
• Education, wellness and lifestyle support

To protect candidate information and maintain a secure hiring process, all applications must be submitted through our careers portal. Resumes or CVs sent directly via email will not be reviewed or considered.

\#LI\-RR1