Senior AI Platform Ops Engineer

Recruise India Consulting; Bengaluru; On-site; INR 3,000,000 - 4,600,000; Full time

Job summary

Recruise India Consulting is seeking an accomplished DevOps/SRE professional to own production operations for scalable AI and data platforms. The role demands hands-on work with cloud infrastructure, containers, microservices, and CI/CD pipelines, ensuring reliability and resilience across distributed systems.

The ideal candidate has extensive Python development experience and proficiency in at least one additional language such as Node.js or Java, along with strong observability, security, and

Qualifications

• 7+ years of experience in DevOps, platform engineering, cloud infrastructure, or site reliability engineering, with strong production operations ownership.
• Strong hands-on experience with cloud platforms, microservices, CI/CD, containers, automation, and infrastructure design.
• Strong experience with Docker, Kubernetes, Linux administration, Git workflows, and system administration fundamentals.
• Hands-on development experience in Python and at least one additional language such as Node.js or Java.
• Experience with MLOps concepts such as model packaging, artifact management, deployment pipelines, inference operations, and rollback strategies.
• Experience operating AI or data platforms such as Databricks, MLflow, Airflow, or similar enterprise ML tooling.
• Strong understanding of observability, logging, alerting, and performance monitoring for distributed systems and AI workloads.
• Experience with secrets management, access control, and auditability in enterprise environments.
• Working knowledge of Apigee X or similar enterprise API gateway platforms

Skills

Production operations ownership

Cloud platforms

Microservices

CI/CD

Containers

Automation

Infrastructure design

Python

Node.js

Java

MLOps concepts

Model packaging

Artifact management

Deployment pipelines

Inference operations

Rollback strategies

Observability

Logging

Alerting

Performance monitoring

Secrets management

Access control

Auditability

Apigee X

API gateway platforms

Tools

Docker

Kubernetes

Git workflows

Linux administration

Databricks

MLflow

Airflow

Job description

Required qualifications

• 7+ years of experience in DevOps, platform engineering, cloud infrastructure, or site reliability engineering, with strong production operations ownership.
• Strong hands-on experience with cloud platforms, microservices, CI/CD, containers, automation, and infrastructure design.
• Strong experience with Docker, Kubernetes, Linux administration, Git workflows, and system administration fundamentals.
• Hands-on development experience in Python and at least one additional language such as Node.js or Java.
• Experience with MLOps concepts such as model packaging, artifact management, deployment pipelines, inference operations, and rollback strategies.
• Experience operating AI or data platforms such as Databricks, MLflow, Airflow, or similar enterprise ML tooling.
• Strong understanding of observability, logging, alerting, and performance monitoring for distributed systems and AI workloads.
• Experience with secrets management, access control, and auditability in enterprise environments.
• Working knowledge of Apigee X or similar enterprise API gateway platforms