Devops Engineer | Scrabble

Posted on October 12, 2025

Job Description

DevOps Engineer | Humanisys AI     full-time Posted on September 10, 2025 Job Description DevOps/MLOps Company Overview At Humanisys Lab, we are redefining the interaction layer between humans and artificial intelligence. Our work focuses on multimodality(voice, computer use, media) and orchestrating dynamic agents, pushing the edge of what's possible with multi agent-driven systems. Backed by leading global venture capital firms, we are in a high-growth stage, building innovative solutions currently being waitlisted by multiple global companies. We are cracked scientists, engineers and researchers. We are embarking on a journey that is hazardous, uncharted, and filled with darkness and uncertainty. Yet, we believe that no matter the wounds we bear, we will emerge with honor, recognition, and a lasting legacy—one that redefines the way things are done and leaps the world forward. Job Summary The DevOps/MLOps role at Humanisys Lab encompasses the management of servers, databases, LLM (Large Language Model) gateway compute, and vector databases. The position involves working with machine learning operations while supporting a dynamic team focused on creating state-of-the-art AI projects. Responsibilities <ul> <li>Manage and maintain servers and databases for optimal performance.</li> <li>Oversee LLM gateway compute and vector database operations.</li> <li>Handle various machine learning operations (MLOps) efficiently.</li> <li>Contribute to the development of real-time data solutions in streaming environments.</li> <li>Collaborate with a team of engineers and researchers in innovative AI projects.</li> </ul> Qualifications <ul> <li>Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.</li> <li>Experience: 3-5 years of relevant experience in DevOps and MLOps roles within data-intensive environments (preferably real-time streaming).</li> <li>Technical Skills: <ul> <li>Hands-on experience with AWS (Amazon Web Services).</li> <li>Familiarity with Azure is a plus.</li> <li>Proficient in managing databases and servers.</li> <li>Understanding of large data processing and machine learning workflows.</li> </ul> </li> </ul> Preferred Skills <ul> <li>Experience with various cloud services and multi-agent systems.</li> <li>Knowledge of containerization technologies such as Docker and Kubernetes.</li> <li>Strong problem-solving skills and the ability to work under uncertainty.</li> </ul> Experience <ul> <li>3-5 years of experience in roles related to DevOps and MLOps, with previous employment at companies involved in large data processing in real-time, such as Amazon, Eightfold, Whatfix, Hotstar, or LinkedIn.</li> </ul> Salary Estimated salary range of 30-50 LPA. Why Join Humanisys Lab? <ol> <li>Work with an extremely crazy top talented team dedicated to redefining human-AI interaction.</li> <li>Contribute directly to transformational, state-of-the-art AI projects.</li> <li>Receive competitive compensation, equity, and a workplace focused on growth and innovation.</li> </ol> What we're looking for <ul> <li>Assess candidate’s hands-on experience in DevOps and MLOps roles including managed services, data-intensive environments, and real-time processing.</li> <li>Evaluate proficiency in cloud services; primarily AWS, with familiarity in Azure considered an asset.</li> <li>Measure ability in managing and maintaining servers and databases, including vector databases for optimal performance.</li> <li>Assess understanding and practical experience with ML pipelines, large language model (LLM) compute, and vector database operations.</li> <li>Evaluate experience with containerization (Docker, Kubernetes) and multi-agent system environments to support scalable deployments.</li> <li>Assess candidate’s capability to design and implement real-time data solutions in streaming environments.</li> <li>Evaluate problem-solving ability, team collaboration, and adaptability in high-growth, dynamic AI environments.</li> <li>Review academic pedigree including Bachelor’s/Master’s in CS, IT, or related fields and the institutional reputation.</li> </ul>