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Senior DevOps Engineer for AI/ML Development and Deployment

Attri India
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join Attri AI as a Senior DevOps Engineer to develop and deploy scalable AI models and integrate them into core business systems. This role requires expertise in cloud infrastructure, CI/CD pipelines, containerization, and cloud security.

Key Highlights
Design and maintain cloud infrastructure using Terraform or CloudFormation
Architect and optimize automated deployment pipelines
Manage and orchestrate containerized applications using Docker and Kubernetes
Implement proactive monitoring, logging, and security protocols
Collaborate with Backend Engineers to optimize system performance
Technical Skills Required
Terraform CloudFormation Python Bash Go AWS GCP Azure GitHub Actions Jenkins GitLab CI Docker Kubernetes SageMaker Vertex AI FastAPI Flask SQL NoSQL DVC model serving frameworks
Benefits & Perks
Health Insurance for individuals and families
Company Sponsorship on relevant professional development courses and certifications
Flexibility in timing to support work-life balance
Friendly and collaborative work environment
No Micromanagement—focus on autonomy and results

Job Description



Attri AI is at the forefront of developing innovative, production-ready AI solutions. We are looking for an ambitious and skilled Senior DevOps Engineer to join our specialized AI/ML team. This role is crucial for developing and deploying scalable, production-ready AI models and integrating them into core business systems.


Responsibilities

  • Infrastructure as Code (IaC): Design and maintain cloud infrastructure using tools like Terraform or CloudFormation.
  • CI/CD Pipeline Management: Architect and optimize automated deployment pipelines to ensure rapid and reliable releases.
  • Containerization: Manage and orchestrate containerized applications using Docker and Kubernetes.
  • Cloud Security & Monitoring: Implement proactive monitoring, logging, and security protocols across AWS/GCP/Azure environments.
  • Collaboration: Work closely with Backend Engineers to optimize system performance and troubleshoot production bottlenecks.

Minimum Qualifications

  • 4-5+ years of experience in DevOps or Site Reliability Engineering.
  • Strong proficiency in scripting will be given additional preference (Python, Bash, or Go).
  • Deep expertise in cloud providers (AWS, GCP, or Azure).
  • Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, or GitLab CI).

Preferred Qualifications

  • Experience with cloud platforms (AWS, Azure, GCP) and services relevant to ML (e.g., SageMaker, Vertex AI).
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  • Experience in building and maintaining API services (e.g., FastAPI, Flask) to expose ML models for real-time inference.
  • Knowledge of database technologies (SQL and NoSQL).
  • Familiarity with data versioning tools (DVC) and model serving frameworks.

Pays and Perks

  • Health Insurance for individuals and families
  • Encouragement and resources for using cutting-edge AI tools in your work profile
  • Company Sponsorship on relevant professional development courses and certifications
  • Flexibility in timing to support work-life balance
  • Friendly and collaborative work environment
  • No Micromanagement—focus on autonomy and results
  • Great company culture centered on innovation and growth
  • Perfect office location for easy access (Near Iscon Circle, Ahmedabad)

Company Website: www.attri.ai Location: Ahmedabad Job Type: Full-time


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