We're a leading, global security authority that's disrupting our own category. Our encryption is trusted by the major ecommerce brands, the world's largest companies, the major cloud providers, entire country financial systems, entire internets of things and even down to the little things like surgically embedded pacemakers. We help companies put trust - an abstract idea - to work. That's digital trust for the real world.
Job summary
We are seeking a highly experienced Principal Software Engineer with strong AI/ML and Generative AI expertise to lead the design, development, and evolution of scalable, cloud-native platforms 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.
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 experience).
10+ years of professional experience in a software development role.
Proficiency in Java and Python and a strong grasp of software development principles.
Expertise in application frameworks (e.g.: Spring/ Springboot/JPA).
Hands on Experience in GenAI product development, with a focus on RAG (Retrieval-Augmented Generation) techniques and exposure building and integrating AI agents.
Hands-on experience in LLMs (GPT-4, LLaMA, etc.)
Proficiency in TensorFlow, PyTorch, LangChain, OpenAI APIs, and NLP libraries.
Experience developing and deploying AI applications including chatbots, virtual assistants and other NLP powered tools.
Develop, fine-tune and deploy LLM-based solutions using Azure cognitive services and tools.
Experience with MLOps, CI/CD pipelines for AI models, and model monitoring.
Expertise developing, consuming, and evolving RESTful web services.
Integrations/Plugin Development experience with CI/CD tools(Github, Azure Devops, Jenkins, Gitlab,etc).
Experience in using Blackduck, SonarQube, FOSSA or similar tools.
Knowledge of both relational (MySQL, MariaDB) and NoSQL/non-relational databases.
Proficiency in containerization with Docker and expertise in container orchestration utilizing Kubernetes.
Hands-on experience with cloud platforms such as
AWS, Azure, or GCP (AWS Preferred)
Experience with software development methodologies, such as Agile.
Exceptional problem-solving skills and the ability to analyze and address complex technical issues.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Experience building cloud native applications, services-based architecture, DevOps principles and continuous deployment.
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.
ATS Match is available
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