Sr. DevOps Engineer
Prisma Global4–6 yrsMumbaiOn-siteDirect career pageEst. 10–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead scalability and stability improvements and automate deployment and testing processes for machine learning production environments.
- Architect and orchestrate machine learning deployment solutions using Kubernetes and CI/CD pipelines, ensuring reliable ML product delivery and efficient workflows.
- Mentor ML engineers in DevOps practices and drive technical vision and organization-wide initiatives for MLOps projects on AWS and on-premises servers.
Minimum Requirements
- 4 to 6 years of experience in relevant DevOps or MLOps roles.
- Expertise in Kubernetes orchestration and setting up CI/CD pipelines for multiple applications.
- Proficient with AWS cloud and on-premises infrastructure for complex MLOps projects.
- Strong knowledge of Git, Linux (Ubuntu), Windows environments, SQL databases (MySQL/PostgreSQL), Python Flask API hosting, and container technologies like Docker.
Ideal Candidate Profile
- Experienced in machine learning ops focusing on deployment, automation, and infrastructure scalability.
- Capable of mentoring ML engineers in DevOps and driving best practices across data science and engineering teams.
- Comfortable working on-site with hands-on technical leadership in architecting ML systems and integrating multiple technology stacks (Kubernetes, Flask, CI/CD).