Senior DevOps Engineer

Attri AI

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)

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