Software Engineer

Job Description

OPENTEXT OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. Your Impact We are seeking a skilled and experienced Software Engineer with expertise in Large Language Models (LLM), Java, Python, Kubernetes, Helm and cloud technologies like AWS. The ideal candidate will contribute to designing, developing, and maintaining scalable software solutions using microservices architecture. This role offers an exciting opportunity to work with cutting-edge technologies in a collaborative environment. What the role offers Design, develop, troubleshoot and debug software programs for software enhancements and new products. Integrate Large Language Models (LLMs) into business applications to enhance functionality and user experience. Develop and maintain transformer-based models. Develop RESTful APIs and ensure seamless integration across services. Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. Implement best practices for cloud-native development using AWS services like EC2, Lambda, SageMaker, S3 etc. Deploy, manage, and scale containerized applications using Kubernetes (K8S) and Helm. Designs enhancements, updates, and programming changes for portions and subsystems of application software, utilities, databases, and Internet-related tools. Analyses design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Collaborates and communicates with management, internal, and outsourced development partners regarding software systems design status, project progress, and issue resolution. Represents the software systems engineering team for all phases of larger and more-complex development projects. Ensure system reliability, security, and performance through effective monitoring and troubleshooting. Write clean, efficient, and maintainable code following industry standards. Participate in code reviews, mentorship, and knowledge-sharing within the team. What you need to succeed Bachelors or Masters degree in Computer Science, Information Systems, or equivalent. Typically, 3-5 years of experience Strong understanding of Large Language Models (LLM) and experience applying them in real-world applications. Expertise in Elastic Search or similar search and indexing technologies. Expertise in designing and implementing microservices architecture. Solid experience with AWS services like EC2, VPC, ECR, EKS, SageMaker etc. for cloud deployment and management. Proficiency in container orchestration tools such as Kubernetes (K8S) and packaging/deployment tools like Helm. Strong problem-solving skills and the ability to troubleshoot complex issues. Strong experience in Java and Python development, with proficiency in frameworks like Spring Boot or Java EE. Should have good hands-on experience in designing and writing modular object-oriented code. Good knowledge of REST APIs, Spring, Spring boot, Hibernate. Excellent analytical, troubleshooting and problem-solving skills. Ability to demonstrate effective teamwork both within the immediate team and across teams. Experience in working with version control and build tools like GIT, GitLab, Maven and Jenkins, GitLab CI. Excellent communication and collaboration skills. Familiarity with Python for LLM-related tasks. Working knowledge in RAG Experience working with NLP frameworks such as Hugging Face, OpenAI, or similar. Knowledge of database systems like PostgreSQL, MongoDB, or DynamoDB. Experience with observability tools like Prometheus, Grafana, or ELK Stack. Experience in working with event-driven architectures and messaging systems (e.g., Kafka, RabbitMQ). Experience with CI/CD pipelines, DevOps practices, and infrastructure as code (e.g., Terraform, CloudFormation). Familiar with Agile framework/SCRUM development methodologies