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 100000 organizations including 90% of the Fortune 500 choose DigiCert to stop todays threats and prepare for a quantum-safe future

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

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