Senior Backend Engineer - Platform and API

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. 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

• • Design and build backend services and APIs for onboarding, policy management, audit, environment inventory, and platform operations.
  • Develop reliable and well-structured REST and gRPC APIs that power the management layer of a secure AI-agent platform.
  • Own data models, service contracts, validation logic, and service-to-service interactions for core platform workflows.
  • Work on integrations with cloud services, identity systems, and platform components that support secure runtime environments.
  • Improve observability, error handling, test coverage, deployment safety, and production support for backend services.
  • Collaborate with frontend, security, and infrastructure engineers to turn complex platform requirements into clear, maintainable backend implementations.
  • Build services that will directly shape how customers manage AI agents in production, and support those services in production yourself.

What you will have

• • 8-12 years of backend engineering experience.
  • Strong hands-on experience in TypeScript/Node.js, Go, Java, or Python — ability to work across languages as the stack evolves.
  • Strong experience designing and building REST and gRPC APIs, service integrations, and backend systems for production use.
  • Good understanding of distributed systems concerns such as retries, idempotency, failure handling, observability, and release safety.
  • Strong experience with relational databases (PostgreSQL, MySQL) and backend data modeling. Familiarity with event-driven patterns (queues, streams) is a plus.
  • Experience with cloud platforms (AWS, GCP, or Azure) and secure backend integrations.
  • Familiarity with ORM/query-builder tools, schema validation frameworks, and API specification standards (OpenAPI, protobuf).

  Nice to have: Experience with gRPC/protobuf service design, ORM tools (Prisma, TypeORM, SQLAlchemy), schema validation (Zod, Pydantic, JSON Schema), OpenAPI generation, cloud SDK integrations (AWS SDK, Google APIs), or message brokers (SQS, Pub/Sub, Kafka).

Nice to have

• Good 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). 

• Comfortable operating in ambiguity.
• Experience owning architecture, implementation, and reliability simultaneously.
• Bias toward shipping and iterative improvement.

Benefits

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