Software Engineer

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

Software Engineer (2+ years) with solid full-stack skills in Java backend development and React frontend engineering. Working knowledge of identity and access management (IAM) standards including OAuth 2.0, SAML, and OIDC, with exposure to Okta or similar identity providers. Comfortable contributing across the full stack in a CI/CD-driven, cloud-native environment, with hands-on or growing experience integrating AI/LLM capabilities into product features and a strong interest in building secure, scalable applications in a security-domain context.

What you will do

Develop and maintain Java backend services and RESTful APIs under the guidance of senior engineers, contributing to design decisions

Build and maintain React UI components and pages, following established patterns for state management, routing, and accessibility

Implement and maintain identity and access management flows using OAuth 2.0, OIDC, and SAML under guidance, integrating with Okta or other identity providers

Apply security best practices including secure token handling, input validation, and basic RBAC patterns in day-to-day development

Contribute to and maintain CI/CD pipelines using Jenkins, GitHub Actions, or similar tools; support reliable, repeatable deployments

Work with Docker containers and Kubernetes deployments; gain hands-on exposure to infrastructure-as-code tools such as Terraform or Helm

Collaborate with Product, Design, and senior engineers to understand requirements and translate them into working, testable code

Use observability tools (New Relic, Splunk, Datadog) to monitor application behavior and participate in incident response

Write unit and integration tests; participate in code reviews and continuously improve code quality and test coverage

Document code, APIs, and features clearly; keep technical documentation and runbooks up to dat

Integrate and experiment with AI/LLM APIs (e.g., OpenAI, Anthropic) to build AI-assisted features; leverage AI coding tools such as GitHub Copilot to accelerate development and improve code quality

What you will have

2+ years of Java development experience; familiarity with Spring Boot, RESTful API design, and basic microservices concepts

Working knowledge of React including hooks, component design, and state management; exposure to frontend testing tools such as Jest

Basic understanding of OAuth 2.0, OIDC, and SAML protocols; exposure to Okta, Azure AD, or similar identity providers is a plus

Familiarity with CI/CD pipelines, Docker, and basic Kubernetes operations; willingness to grow into infrastructure-as-code practices

Good grounding in software engineering fundamentals — data structures, algorithms, OOP, and core design patterns

Experience with relational databases (PostgreSQL or MySQL); ability to write and debug SQL queries and understand basic schema design

Exposure to cloud platforms (AWS, GCP, or Azure) and an eagerness to deepen cloud-native skills

Curiosity and a growth mindset — eager to learn about security domain concepts and take on increasing ownership over time

Good communication and collaboration skills; able to work effectively in a cross-functional team environment

Nice to have

Academic or project-level exposure to identity and access management, digital certificates, or PKI

Event‑driven architecture, Kafka, or event streaming patterns relevant to real-time security event processing

Familiarity with feature flags or basic deployment strategies like blue/green in a team setting

Personal projects, open-source contributions, or coursework demonstrating full-stack development or security interest

Experience building AI-powered features using LLM APIs, RAG patterns, or generative AI tools within Java or React applications

Hands-on experience or strong interest in AI/LLM integration — calling LLM APIs, prompt engineering, or embedding AI-assisted workflows into Java/React applications

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.

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