DevOps Engineer I – AWS & AI

Pune, Fulltime, Hybrid

Key Responsibilities
Own and maintain production AWS infrastructure with high availability, fault tolerance, and proactive monitoring
Build and manage scalable cloud infrastructure using Terraform and Ansible on AWS
Deploy and manage AI/LLM workloads, vector databases, and model inference pipelines
Design and maintain secure CI/CD pipelines for microservices and AI/ML systems
Implement security best practices including IAM policies, secrets management, and vulnerability scanning DevOps Engineer I – AWS & AI
Set up observability and monitoring for both system and AI metrics (latency, throughput, cost, usage)
Optimize cloud costs, particularly for GPU-backed and compute-intensive AI workloads
Manage VPC networking, DNS, load balancing, and secure connectivity across AWS environments
Collaborate closely with AI/ML engineers and product teams to ensure infrastructure supports fast experimentation and reliable deployment

Required Qualifications
3 - 5 years of hands-on experience in DevOps, SRE,



or cloud infrastructure roles
Proven experience working at a product-based company with rapid-paced engineering teams
Robust hands-on expertise with core AWS services: EKS, ECS/Fargate, EC2, S3, RDS, SageMaker, Lambda, VPC, and CloudFront
Experience deploying and managing AI/LLM workloads, vector databases (e.g., Pinecone, Weaviate, pgvector), and LLM APIs (OpenAI, Bedrock, etc.)
Solid expertise in Docker, Kubernetes (EKS), Terraform, and Ansible
Proficiency in Python scripting for automation, tooling, and infrastructure workflows — this is a mandatory requirement
Robust understanding of Linux/Unix systems, preferably Ubuntu
Sound knowledge of networking fundamentals, security architecture, and IAM principles on AWS

• Demonstrated experience delivering AI projects in production — not just experimental or PoC environments

Preferred Skills
Experience with LLMOps practices — prompt versioning,

📌 Devops Engineer I – Aws Mumbai
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