Senior Backend Engineer - Platform and API

1h1 hour ago

DigiCert

Bengaluru, IN · Full-time · INR 3,500,000 – INR 5,000,000

About this role

DigiCert is a global leader in intelligent trust, protecting the digital world by ensuring the security, privacy, and authenticity of every interaction. 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.

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.

You will design and build backend services and APIs for onboarding, policy management, audit, environment inventory, and platform operations. You will own data models, service contracts, validation logic, and service-to-service interactions for core platform workflows, and collaborate with frontend, security, and infrastructure engineers.

You will build services that directly shape how customers manage AI agents in production, and support those services in production yourself. This is an opportunity to work on a platform that does not stop at application code, but also creates and manages the secure cloud infrastructure in which AI-agent systems are deployed and operated.

Requirements

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.
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).

Responsibilities

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.

Benefits

Work on a platform that unifies PKI, DNS, and certificate lifecycle management to secure infrastructure, software, devices, messages, AI content and agents.
Join a company trusted by more than 100,000 organizations, including 90% of the Fortune 500.
Be part of building the trust layer for the agentic future, with a focus on secure AI-agent deployment at scale.
Collaborate with a team of engineers across frontend, security, and infrastructure disciplines.