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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