Software Engineer - Fullstack

Who we are

DigiCert is a global leader in intelligent trust, helping organizations protect the digital interactions people rely on every day. From websites and cloud services to connected devices and critical systems, we make sure digital experiences are secure, private, and authentic.

Our AI-powered DigiCert ONE platform brings together certificates, DNS, and lifecycle management to help organizations stay ahead of risk as technology and threats evolve. Trusted by more than 100,000 organizations—including 90% of the Fortune 500—DigiCert helps businesses operate with confidence today while preparing for what’s next, including a quantum-safe future.

 

Job summary

We’re building DigiCert’s next-generation AI Security & Trust Infrastructure — a cloud-native platform that extends digital trust to AI models, agents, and software ecosystems.

 

What you will do

• Design and build backend services in Go or Python for high-throughput DNS ingestion and analysis.
• Develop React-based UIs for real-time dashboards and customer-facing workflows.
• Implement and maintain streaming pipelines using Kafka or similar technologies.
• Build clean, secure APIs consumed by internal UIs and external SIEM systems (Splunk, Sentinel, QRadar).
• Work with read/write-heavy data stores, caching layers, and performance optimizations.
• Containerize services using Docker and deploy on Kubernetes.
• Contribute to CI/CD pipelines, automated testing, and release workflows.
• Instrument services and UIs with metrics, logs, and traces for observability.
• Use AI-assisted coding tools (e.g., Claude Code, Copilot, similar) responsibly to improve development speed, code quality, and test coverage.
• Participate in code reviews, on-call rotations, and production issue resolution

 

What you will have

• 3+ years of professional software engineering experience.

• Experience building full-stack applications, with hands-on work in:

  • js (or similar modern frontend frameworks)
  • Go or Python for backend services

• Working knowledge of microservices and distributed systems.

• Experience with Kafka or streaming systems (or strong fundamentals and willingness to learn).

• Familiarity with Docker and Kubernetes in development or production environments.

• Experience with SQL or NoSQL databases, indexing, and basic performance tuning.

• Ability to design and consume RESTful APIs

• Comfort using AI-assisted development tools to accelerate implementation while maintaining correctness and security.

• Strong problem-solving skills and eagerness to learn from production systems

 

Nice to have

• Exposure to DNS, networking, or security telemetry.
• Familiarity with SIEM integrations or log analytics platforms.
• Experience building real-time or near-real-time UIs (WebSockets, SSE).

 

Benefits

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