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AI Cloud & DevOps Engineer; AWS

Job in 682011, Ernākulam, Kerala, India
Listing for: CanData.ai
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AWS, SRE/Site Reliability, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Position: AI Cloud & DevOps Engineer (AWS)
Location: Ernākulam

is a fast-growing AI & technology company focused on  AI Consulting, Agentic AI, Product Engineering, Data Ops, MLOps, and Business Process Automation . We build secure, scalable, cloud-native AI solutions for global enterprises.

We’re looking for an  AI Cloud & Dev Ops Engineer  to build and manage AWS infrastructure, automate deployments, and support AI/ML workloads in collaboration with our AI, Data, and Software Engineering teams.

Location :
Kochi - Work From Office
Experience : 2-3 Years

Employment Type

:
Full-Time

Key Responsibilities
Design and manage AWS infrastructure for AI applications.
Build CI/CD pipelines for web, API, and AI workloads.
Automate infrastructure using  Terraform / Cloud Formation .
Deploy containerized applications using  Docker, ECS/EKS .
Support MLOps, model deployment, monitoring, and scaling.
Implement logging, security, monitoring, and disaster recovery.
Optimize cloud performance and costs.
Collaborate across AI, Data, and Product teams.

Required Skills
AWS : EC2, IAM, VPC, S3, RDS, Lambda, ECS/EKS, Cloud Watch, Route 53, ALB/NLB, Auto Scaling, Secrets Manager
Dev Ops :
Docker, Terraform/Cloud Formation, Git, Git Hub Actions/Jenkins/Git Lab CI, Linux, Bash
AI/Data : AI/ML deployment, MLOps concepts, LLM application deployment; RAG/vector databases are a plus
Programming :
Python, Bash, Basic SQL

Good to Have
AWS Certified Solutions Architect / Dev Ops Engineer
Amazon Bedrock, Sage Maker, or EKS
Redis, PostgreSQL, Open Search/Elasticsearch
Prometheus/Grafana
SQS, Event Bridge, SNS
Infrastructure Security / Dev Sec Ops  experience
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