Software Architect

DigiCertSunnyvale, CA
14d$200,000 - $255,000

About The Position

DigiCert is seeking a visionary and hands-on Software Architect to define and build the next generation of secure and trustworthy AI systems . In this role, you will drive innovation at the intersection of AI, identity, and digital trust , shaping how organizations establish confidence in autonomous and intelligent systems. You’ll lead the ideation, design and prototyping of new architectures that extend DigiCert’s trusted capabilities — from software supply chain integrity and document authenticity to emerging Agentic AI enterprise use cases— ensuring that digital interactions remain verifiable, secure, and accountable in an AI-powered world. This position blends strategic architecture, hands-on experimentation, and cross-functional collaboration . You will help shape DigiCert’s vision for AI Security and Trust , driving the evolution of the DigiCert Trust Platform to meet the challenges of an AI-powered world. You will bring a strong builder mindset — able to move fluidly between strategic architecture and hands-on prototyping.and a proven track record in building reliable, scalable and highly available SaaS solutions.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • Extensive experience (typically 10+ years) in cloud-native software backend development, with at least 3 years in a software architecture or technical leadership role .
  • Experience designing distributed microservices with REST or GraphQL APIs
  • Proficiency in Java, Go, Rust or Python , with strong knowledge of distributed systems and microservices architecture .
  • Experience designing scalable, secure, and cloud-native applications (AWS, Azure, GCP, or OCI).
  • Expertise with CI/CD automation ( GitHub Actions), Terraform , Docker , and Kubernetes .
  • Solid understanding of software engineering best practices , agile development, and DevOps principles.
  • Experience with both relational (PostGres, MySQL) and NoSQL (Cassandra, MongoDB) databases.
  • Familiarity with TLS, Public Key Infrastructure (PKI) , cryptography APIs, and trust frameworks.
  • Experience securing AI pipelines, verifying model integrity, or establishing data provenance in AI workflows is a strong differentiator.
  • Knowledge of secure software supply chain , data provenance , or model validation frameworks.
  • Proficiency with tools such as Git, JIRA, VSCode, Cursor , or Visual Studio .

Nice To Haves

  • Experience with Generative AI (GenAI) and Large Language Models (LLMs) such as GPT-4, LLaMA, or Claude.
  • Familiarity with AI/ML frameworks (TensorFlow, PyTorch, LangChain, OpenAI APIs).
  • Exposure to AI governance, risk, and compliance (AI GRC) or AI security threat modeling .
  • Experience fine-tuning or deploying LLMs and integrating AI assistants or agentic systems.
  • Understanding of data analytics, observability , and AI performance monitoring in production environments.
  • Knowledge of DNSSEC, or DANE is desirable.

Responsibilities

  • Innovation and Prototyping Rapidly design and deliver proofs of concept exploring new approaches to AI security and trust .
  • Experiment with emerging technologies in Agentic AI , model provenance , and data integrity .
  • Use AI-assisted development tools to accelerate exploration and technical validation.
  • Drive Innovation Culture: Champion experimentation, ideation, and rapid validation of new concepts that push the boundaries of how DigiCert defines and delivers digital trust.
  • Architectural Leadership Design scalable, secure architectures that integrate trust principles into AI/ML pipelines, Agentic workflows, and digital ecosystems.
  • Define system blueprints and architectural standards for next-gen SaaS and AI platforms.
  • Explore Emerging Technologies: Stay at the forefront of AI safety, governance, model provenance, and data assurance —identifying opportunities for DigiCert to lead in securing AI systems and digital assets.
  • Participate in technical design reviews, code reviews, and incident retrospectives.
  • Cross-Functional Collaboration Partner with product, UX & research, and engineering leaders to align AI trust innovation across DigiCert’s portfolios.
  • Communicate architectural vision clearly to technical and business stakeholders.
  • Mentor teams on secure design, cloud-native principles, and AI security practices .

Benefits

  • DigiCert offers a competitive benefits package for all of our full-time employees.
  • DigiCert is an Equal Opportunity employer and is committed to diversity in its workforce.
  • In compliance with applicable federal and state laws, DigiCert prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information.
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