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 todays 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.

Our platform does not stop at application code.

It also creates and manages the secure cloud infrastructure in which AI-agent systems are deployed and operated.

That makes infrastructure design a core product capability, not a supporting function.

This role will lead the design and implementation of the multi-cloud platform that supports customer environments, secure deployment patterns, cloud networking, and production guardrails.

It is a hands-on principal engineering role for someone who wants to build the underlying infrastructure that makes secure AI-agent deployment possible at scale.

What you will do :

- Lead the architecture for secure customer infrastructure across AWS, GCP, Azure, and Kubernetes environments.

- Define how customer environments are provisioned, configured, upgraded, and supported using infrastructure as code and repeatable deployment patterns.

- Drive technical decisions for cloud networking, cluster security, access control, secrets handling, observability, and operational guardrails.

- Build and review Terraform modules, cluster deployment workflows, platform automation, and release processes for multi-cloud environments.

- Partner with security, backend, and runtime teams to ensure infrastructure can support identity, policy enforcement, audit, and production operations from day one.

- Help establish the infrastructure standards that allow customers to adopt AI-agent systems with stronger security and operational confidence.

- Mentor engineers on infrastructure design, cloud-native security, Kubernetes operations, and engineering-owned production support.

What you will have :

- 12+ years of software or platform engineering experience, with at least 5+ years in Kubernetes and public cloud infrastructure.

- Strong hands-on expertise in Kubernetes, Terraform, AWS, and at least one of GCP or Azure.

- Experience designing secure cloud environments, network boundaries, deployment workflows, and infrastructure automation.

- Strong understanding of container platforms, cluster security, ingress and egress controls, cloud IAM, secrets management, and observability.

- Experience supporting production systems and driving operational improvement without relying on a separate operations team.

- Ability to lead architecture while still reviewing implementation details and troubleshooting production issues when needed.

Nice to have :

- Experience with AI/ML managed services AWS Bedrock, GCP Vertex AI, or Azure OpenAI Service and familiarity with the infrastructure patterns they require (VPC endpoints, IAM, data residency, model routing).

Benefits :

- Generous time-off policies.

- Top shelf benefits.

- Education, wellness and lifestyle benefits.