DevOps Engineer

We are looking for a skilled DevOps Engineer to join a fast-paced, innovative team focused on building and optimizing AI platforms for enterprise customers. This position will play a key role in ensuring the reliable deployment, scalability, and performance of our platform, working across cloud environments and collaborating with cross-functional teams. If you're a pragmatic engineer who thrives in a dynamic environment and enjoys optimizing infrastructure, this role offers the opportunity to contribute directly to the success of a cutting-edge AI solution.

About the Company

The company is focused on enabling enterprises to build their own Expert AI solutions securely and efficiently. With an emphasis on enterprise-grade security, flexibility, and scalability, the company provides a platform where customers can train their own models on proprietary data. The team consists of highly dedicated engineers, researchers, and industry veterans, all working together to deliver a platform that meets the needs of modern AI workloads. The company is backed by leading investors and operates in a highly collaborative environment, leveraging the latest technologies to solve complex problems for customers.

About the Role

As a DevOps Engineer , you will be responsible for managing cloud infrastructure, supporting the internal development environment, and ensuring the seamless delivery of the platform to customers. This role requires a strong focus on infrastructure reliability and performance, as well as a deep understanding of Kubernetes, cloud platforms, and infrastructure automation. You will also be working closely with engineering teams to optimize internal workflows, troubleshoot deployment issues, and enhance system architecture. The role offers exposure to cutting-edge technologies and requires both technical expertise and the ability to collaborate across teams.

What We Can Offer You

• Competitive salary range of $150,000 - $180,000 based on experience
• Opportunities for professional growth in a dynamic, early-stage startup environment
• Exposure to cutting-edge technologies and AI infrastructure
• A collaborative and supportive work culture
• Health and wellness benefits
• Equity options as part of the compensation package

Key Responsibilities

• Design and implement robust deployment processes for Kubernetes platforms
• Maintain and enhance internal machine learning infrastructure on GCP VertexAI, AWS, and private GPU servers
• Troubleshoot and resolve deployment issues in customer on-prem environments
• Work with cross-functional teams to ensure the reliability and scalability of the platform
• Automate provisioning and configuration management using Infrastructure as Code (IaC) principles
• Document systems, processes, and findings to promote knowledge sharing across teams

DevOps Engineer candidates should have expertise in Kubernetes , Docker , and cloud platforms such as AWS and GCP . Familiarity with CI/CD pipelines , Terraform , and scripting in languages like Python or Bash will be essential for this role. Experience with AI infrastructure and working with Infrastructure as Code (IaC) will help drive success in optimizing platform performance and reliability.