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Popular entry-level DevOps role in Pune with broad requirements increases applicant competition.
Requires AI infrastructure and GPU experience, making cross-industry transferability moderately sensitive.
Explicit 0–2 years requirement plus required cloud, Kubernetes, and IaC skills enforces moderate screening.
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Support design, development, and maintenance of AI infrastructure systems including GPU clusters and data pipelines.
Assist in managing GPU cluster health, configure compute resources with Kubernetes/Docker, and monitor system performance using tools like Prometheus and Grafana.
Collaborate with ML engineers and senior team members to build scalable AI model training and deployment environments.
Bachelor's degree in Computer Science, IT, or related field.
0-2 years of experience in DevOps, cloud infrastructure, or related roles.
Basic knowledge of Linux, Python or scripting, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, or Azure).
Location requirement: Pune, India, office-based with potential hybrid options.
Entry-level professional looking to develop expertise in AI infrastructure and cloud environments.
Comfortable working under guidance with exposure to GPU/HPC and monitoring tools.
Able to collaborate with ML engineers and contribute to infrastructure support in a fast-evolving AI context.