Senior Software Engineer

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 a highly experienced Full Stack Senior Software Engineer with deep expertise in Java and Python, strong cloud-native development skills on AWS, and hands-on experience building Agentic AI workflows and intelligent applications.

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.

Design, develop, scale, and manage robust APIs to ensure seamless and secure communication across distributed systems and external platforms.

Establish, implement, and enforce strict API and data governance policies to ensure security, compliance, and architectural consistency across all enterprise integrations.

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.

Design and implement end-to-end full stack features spanning Java/Python back-end services, RESTful APIs, and modern front-end components integrated with cloud-native AWS infrastructure.

Architect and develop Agentic AI workflows — including multi-agent orchestration, tool-use patterns, and autonomous task pipelines — leveraging frameworks such as LangChain, LangGraph, CrewAI, or AWS strands/Agentic core.

What you will have

Bachelor's degree in computer science, Software Engineering, or a related field (or equivalent experience).

5+ years of professional experience in a software development role.

Proficiency in Java and Python and a strong grasp of software development principles.

Deep, hands-on expertise with AWS services including EC2, ECS/EKS, Lambda, S3, RDS, SQS/SNS, API Gateway, Bedrock, and SageMaker, with a strong preference for AWS-first architecture decisions.

Hands-on experience with Spring Boot, RESTful APIs, microservices, and cloud-native application development.

Experience building Generative AI applications using LLMs (GPT, Claude, Llama, etc.), RAG, embeddings, and prompt engineering.

Experience developing AI agents and Agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI, or AWS AgentCore/Strands.

Experience deploying AI/ML applications with MLOps, CI/CD pipelines, and model lifecycle management.

Proficiency with Docker, Kubernetes, relational and NoSQL databases, and Agile development practices.

Strong problem-solving, communication, and secure software development skills.

Experience with Infrastructure as Code (Terraform/CloudFormation) and DevOps tools such as GitHub Actions, Harness, or Jenkins.

Exceptional problem-solving skills and the ability to analyse and address complex technical issues.

Nice to have

List preferred qualifications here

Experience with GraphQL, Kafka, Databricks, or distributed data platforms.

Experience with OpenTelemetry, Prometheus, Grafana, or New Relic.

Experience mentoring engineers and contributing to architecture and technical strategy.

Experience developing and deploying AI applications including chatbots, virtual assistants and other NLP powered tools.

Develop, fine-tune and deploy LLM-based solutions using AWS services and tools.

Experience with MLOps, CI/CD pipelines for ML models, model monitoring and lifecycle management.

Experience in using Blackduck, SonarQube, FOSSA or similar tools.

Knowledge of both relational (MySQL, MariaDB) and NoSQL/non-relational databases.

Application of secure coding practices and methodologies.

A passion for unit testing and consistently delivering high-quality code.

Benefits

Generous time off policies

Top shelf benefits

Education, wellness and lifestyle support

To protect candidate information and maintain a secure hiring process, all applications must be submitted through our careers portal. Resumes or CVs sent directly via email will not be reviewed or considered.

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