Senior Software Engineer - Fullstack

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

We are seeking an experienced Senior Software Engineer to join our dynamic and innovative team. As a Senior Software Engineer, you will be a key contributor to the design, development, and maintenance of our platforms. You will work closely with cross-functional teams to deliver high-quality software that meets the needs of our customers.

What you will do

• Collaborate with product managers, UX designers and architects to understand project requirements and technical specifications.

• Design, develop, test, and maintain software applications, ensuring they meet high-quality standards and performance benchmarks.

• Write clean, efficient, and maintainable code, in accordance with coding standards and best practices.

• Conduct code reviews to increase code quality, consistency, and alignment with the product design and architecture.

• Analyze, troubleshoot, and debug product defects and provide timely solutions to customer issues.

• Stay up to date on emerging technologies and industry trends to continuously improve software development processes and tools.

• Contribute to architectural decisions and help drive technical innovation within the team.

What you will have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent hands-on experience).

• 5+ years of experience as a Software Engineer (SSE) building scalable, production-grade web applications.

• Strong proficiency in Python and JavaScript, with full-stack development exposure.

• Deep expertise in modern frontend engineering using JS, Redux Toolkit, and strong fundamentals in ES6+, HTML5, CSS3, SASS, Tailwind CSS.

• Solid understanding of software design principles and architectures (modular design, domain-driven design, clean architecture) with a focus on scalability, maintainability, and performance.

• Hands-on experience with containerization and orchestration tools such as Docker, Kubernetes, and Helm for scalable deployments.

• Exposure to cloud platforms (AWS /GCP) with experience in building and deploying cloud-native applications.

• Strong DevOps mindset, including CI/CD pipelines (GitHub Actions, GitLab CI, Bitbucket, Harness), Infrastructure as Code (Terraform, CloudFormation), and automated deployment strategies.

• Strong experience with LLM-based developer tools and workflows, including Claude Code, GitHub Copilot, and modern AI-assisted engineering practices; adept at leveraging AI for code generation, optimization, debugging, and applying best practices in prompt engineering and workflow automation.

• Good exposure to application security practices, including secure coding standards (OWASP), vulnerability awareness, and implementing security best practices across the stack.

• Experience with API security and authentication mechanisms such as JWT, OAuth2, OpenID Connect, along with concepts like rate limiting and API gateways.

• Effective communicator and team player, experienced in collaborating with product, design, QA, and platform teams to deliver high-quality solutions.

Nice to have

• Working knowledge of PKI, cryptography, and code signing is an added advantage.

• Solid understanding of LLMs and RAG systems, including prompt engineering, embeddings, and vector databases (e.g., Postgres pgvector, Pinecone, Weaviate), along with orchestration frameworks such as LangChain and LlamaIndex.

• Familiarity with deploying GenAI workloads on AWS, Azure, and GCP (e.g., Bedrock, OpenAI, Azure OpenAI), including implementing guardrails, content filtering, and observability for LLM-based applications.

Benefits

• Generous time off policies

• Top shelf benefits

• Education, wellness and lifestyle support

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