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 are seeking an experienced Senior Software Engineer to join our dynamic and innovative team. We are seeking an experienced Senior Software Engineer to join our dynamic and innovative team. 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
Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
Experience: 9+ years of progressive experience in full-stack software development, with a proven track record of delivering complex, scalable web applications.
Backend Excellence: Deep expertise in Java and modern web frameworks such as Spring Boot , with strong experience designing modular, scalable, and secure backend architectures.
Frontend Mastery: Proficient in js, JavaScript (ES6+), HTML5, and CSS3, with experience building performant, maintainable, and responsive user interfaces.
API & Microservices: Strong background in designing and integrating RESTful APIs and microservices architectures, ensuring maintainability and scalability.
Cloud & Infrastructure: Hands-on experience with AWS services such as EKS, S3, SQS, IAM etc.
Containerization & Orchestration: Proficient with Docker, Kubernetes, and Helm for deploying and managing distributed systems at scale.
DevOps & Automation: Strong understanding of CI/CD pipelines, infrastructure as code, and automated deployment practices using tools such as Jenkins, GitHub Actions, or GitLab CI.
Demonstrated ability to architect for end-to-end solutions, drive technical design decisions, and mentor teams on best practices.
Deep understanding of software design principles, system scalability, and performance optimization.
Proven experience leading code reviews, enforcing coding standards, and driving continuous improvement in development processes.
Familiarity with Agile/Scrum methodologies and experience leading cross-functional collaboration using tools like Git, Jira, and Confluence.
Strong problem-solving and analytical mindset with an emphasis on clean, maintainable, and testable code.
Commitment to secure coding, software quality assurance, and unit/integration testing.
Excellent communication skills with the ability to influence technical direction across teams.
Passionate about building user-centric, high-performance applications using modern web technologies and clean architectural patterns.
Nice to have
Working knowledge of the Golang
Good knowledge of PKI, Cryptography and Code Signing would be an added advantage.
Working knowledge of the LLM ecosystem, including prompt engineering, Retrieval-Augmented Generation (RAG), vector databases.
Knowledge of MLOps practices, including CI/CD pipelines for AI models, model deployment, and model monitoring.
Benefits
Generous time off policies
Top shelf benefits
Education, wellness and lifestyle support
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