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What you’ll be doing:
Develop comprehensive operational plans and de-risking strategies to ensure flawless technical execution of technical training events.
Provide expert, hands-on technical leadership during live training events, managing deployments and rapidly resolving emergent issues for an optimal user experience.
Oversee the stability, scalability, and reliability of the DLI learning platform, implementing SRE principles and leading incident response for optimal performance and reliability.
Lead cross-functional coordination, establish and enforce operational best practices, and drive continuous improvement initiatives to enhance platform services.
What we need to see:
Bachelor’s degree in Computer Science, a related technical field, or equivalent experience
Over 6 years of DevOps experience optimizing, deploying and running containerized applications (Docker, Kubernetes) across AWS, Azure, and GCP, including hands-on work with EKS, AKS, and GKE.
Proficient in Python and Linux shell scripting for automation, application development, system administration, and problem resolution.
Validated experience architecting, implementing, and managing cloud infrastructure using Terraform.
Demonstrated ability as a meticulous problem-solver with strong analytical skills, capable of diagnosing and resolving complex technical challenges under pressure.
Excellent communication, teamwork, and collaboration skills, with an ability to articulate technical concepts clearly to diverse audiences and lead technical responses during incidents.
Ways to stand out from the crowd:
Proven experience designing and implementing event-driven architectures using pub/sub patterns with platforms like AWS SNS / SQS, Google Pub / Sub, or Azure Service Bus.
Knowledge of generative AI architectures (LLMs, diffusion models) and concepts such as Retrieval Augmented Generation (RAG) and vector databases.
Hands-on experience with the NVIDIA AI stack (NeMo, Triton Inference Server, TensorRT) for model development, serving, and optimization. Production experience with NVIDIA NIM is a strong plus.
Experienced in building and running CI/CD pipelines (Jenkins, GitLab CI) and managed software development environments, applying SRE principles to automate, enhance reliability, and improve performance.
Familiarity with Python-based Learning Management Systems (LMS) such as Open edX.
You will also be eligible for equity and .
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