Digicert Senior Software Engineer building cloud-native, scalable RESTful services in Go and TypeScript for DigiCert's Quantum Central platform. Owns features end-to-end and integrates AI coding agents into daily workflow.
Responsibilities
Build RESTful, highly scalable cloud-native services in Go and TypeScript
Own features end-to-end: design, implementation, testing, deployment, and observability
Use AI coding agents (Cursor, GitHub Copilot, Claude Code, etc.) as a native part of your daily workflow — fluently, not occasionally
Design and ship software using agentic AI workflows: LLM orchestration, autonomous pipelines, and AI-assisted product features where relevant to the Quantum Central platform
Collaborate with engineers, product managers, and security researchers to build PQC readiness tooling the market doesn't yet have
Engage with engineering leaders to implement industry best practices and drive technical decisions
Analyse, troubleshoot, and debug product defects and deliver timely solutions
Develop a deep understanding of post-quantum cryptography, PKI, and the cryptographic asset landscape
What you will have
+5 years of professional software engineering experience
Expert proficiency in Go for designing and building RESTful, cloud-native web services
Strong TypeScript backend development skills
Qualification
Bachelor's degree in Computer ScienceMySQL / MariaDBDocker and Kubernetes
Required
5+ years of professional software engineering experience
Expert proficiency in Go for designing and building RESTful, cloud-native web services
Strong TypeScript backend development skills
Fluency with AI coding agents as a daily, production workflow
Hands-on experience building with agentic AI workflows
Preferred
Understanding of post-quantum cryptography (PQC), SSL/TLS, PKI, or cryptographic asset management
Familiarity with NIST PQC standards (Kyber, Dilithium, etc.)
Experience with cryptographic discovery tools, CMDB integrations, or security posture management platforms
Bachelor's degree in Computer Science, Information Systems, or equivalent industry experience
Experience building multi-agent AI systems or RAG-based features integrated into real product workflows
Technologies and tools we use — any experience is a bonus:
