DevOps Engineer (AI/ML)

Location: Remote

About Us

We are a fast-growing AI technology company at the forefront of transforming the ecommerce and fashion industries. Our mission is to revolutionize these spaces by developing innovative AI-driven solutions that make a tangible impact. We thrive in a dynamic, fast-paced environment where creativity meets cutting-edge technology. If you're passionate about DevOps, cloud infrastructure, and AI/ML, this is the perfect opportunity for you to join an industry-leading team and drive real change.

Role Overview

We are looking for an experienced DevOps Engineer to play a key role in managing and scaling our AI/ML infrastructure. The ideal candidate will bring a blend of software development, IT operations, and cloud infrastructure expertise, with a focus on automation, security, and continuous improvement. You will work closely with engineering and design teams to optimize GPU workflows, enhance application performance, and streamline deployments.

Key Responsibilities

• Manage and optimize GPU-based ML/AI workflows and infrastructure.
• Design, implement, and maintain scalable tools for secure and efficient software development life cycles (SDLC).
• Collaborate with development teams to troubleshoot issues, improve performance, and address system reliability.
• Build and maintain CI/CD pipelines, focusing on automation and infrastructure-as-code to ensure seamless deployments.
• Monitor, troubleshoot, and optimize cloud infrastructure to ensure high performance and scalability.
• Stay current with emerging DevOps, cloud, and security trends, and apply them to improve processes.
• Ensure compliance with industry standards and best practices for security, scalability, and reliability.
• Foster a culture of technical excellence and continuous learning across the team.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Proven experience as a DevOps Engineer or Site Reliability Engineer (SRE) with a strong portfolio of relevant projects.
• Deep expertise in AWS or Azure, with hands-on experience deploying and managing applications in a cloud environment.
• Strong experience with GPU infrastructure, NVIDIA tools, and managing AI/ML workflows.
• Proficiency in Kubernetes, Docker, and CI/CD tools for managing containerized applications.
• Experience with Lustre file systems and optimizing GPU workflows in Kubernetes is highly preferred.
• Solid understanding of SQL/NoSQL databases, web servers, and UI/UX design principles.
• Strong problem-solving skills and attention to detail, with the ability to thrive in a fast-paced, deadline-driven environment.
• Excellent communication and collaboration skills, with a team-oriented mindset.
• Must provide a link to a GitHub portfolio or other relevant projects.

Benefits

• Competitive salary with performance-based incentives.
• Comprehensive health and wellness benefits.
• Opportunities for professional growth and continuous learning.
• Fully remote work environment.
• Join an innovative company that is reshaping the future of fashion and AI.
• Work alongside industry leaders and influencers at the cutting edge of technology.