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

Quantum computers are coming — and when they arrive, the encryption protecting most of the world's digital infrastructure will need to change. DigiCert Quantum Central is the platform helping enterprises get ahead of that transition: discovering cryptographic assets, identifying vulnerabilities, prioritizing remediation, and managing their migration to post-quantum cryptography (PQC).

The Quantum Central engineering team is looking for a full stack Senior Software Engineer to help build this platform from the ground up. This is greenfield, high-impact work on a problem the industry hasn't fully solved yet. You'll design APIs, own features end-to-end, and ship software that some of the world's largest organizations depend on to stay secure.

We move fast. We use AI as a force multiplier. And we hold the bar high on quality — because in security, cutting corners isn't an option.

What you will do

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
Fluency with AI coding agents (Cursor, GitHub Copilot, Claude Code, or similar) as a daily, production workflow — you use them to ship faster and with higher quality, and you bring the judgment to review what they produce
Hands-on experience building with agentic AI workflows: LLM API integration, function-calling pipelines, autonomous agents, or AI-assisted development pipelines in production or near-production systems
Strong knowledge of software engineering best practices: design, testing, architecture, and code quality
Experience with service-based architectures and distributed systems
Solid understanding of relational databases, SQL best practices, indexes, and query optimization
Familiarity with Test Automation Frameworks and CI/CD pipelines
Exposure to AWS or equivalent cloud infrastructure
Ability to identify where AI can accelerate delivery and advocate for AI-first engineering practices within the team
Strong communication and collaboration skills

Nice to have

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:
Go
MySQL / MariaDB