This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

"DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC 

“The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA 

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. 

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. 

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. 

We are seeking a highly skilled and experienced Sr. Full-Stack Software Engineer to join our team and contribute to the development of cutting-edge, high-performance applications. You will play a key role in designing, building, and optimizing full-stack solutions. You will lead the development of scalable, efficient, and robust software systems, collaborating closely with cross-functional teams, including software engineers, machine learning engineers, and product managers.

Key Responsibilities:

• Design, develop, and maintain full-stack applications, including front-end, back-end, and database layers, to support high-performance AI platforms.
• Collaborate with machine learning engineers to integrate AI models into scalable, production-ready applications.
• Optimize application performance, ensuring low latency, high availability, and efficient resource utilization.
• Lead the development of gRPC, GraphQL, RESTful APIs and other microservices to enable seamless communication between front-end and back-end systems.
• Implement and maintain CI/CD pipelines to ensure rapid and reliable deployment of software updates.
• Work closely with product teams to translate business requirements into technical solutions, ensuring a user-centric approach to software development.
• Stay up-to-date with the latest trends and technologies in full-stack development, AI integration, and cloud computing.
• Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous improvement.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 8+ years of experience in full-stack software development, with a proven track record of building and deploying scalable applications.
• Strong proficiency in front-end technologies (e.g., React, Angular, Vue.js) and back-end languages and frameworks (e.g., Go, Node.js, Python, Spring Boot).
• Experience with database systems (e.g., PostgreSQL, MongoDB, Redis) and data modeling.
• Solid understanding of cloud platforms (AWS, GCP, Azure) and experience with containerization tools (Docker, Kubernetes).
• Proficiency in version control systems (Git) and CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
• Strong problem-solving skills, with a focus on performance optimization and scalability.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Preferred Qualifications:

• Experience integrating AI/ML models into full-stack applications.
• Knowledge of distributed systems and microservices architecture.
• Experience with infrastructure as code (Terraform, CloudFormation).
• Strong understanding of security best practices in software development.

This position requires participation in an on-call rotation to provide after-hours support as needed.