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 rapid 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 fast-paced engineering teams • Strong 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 • Strong 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, model monitoring, RAG pipelines, and inference optimization • Familiarity with AI/ML frameworks (SageMaker Pipelines, MLflow, Kubeflow) and model serving patterns • Hands-on experience with observability tools such as Prometheus, Grafana, CloudWatch, or OpenTelemetry • Automation-first mindset with the ability to work across complex distributed systems • Exposure to AWS Bedrock, Rekognition, Comprehend, or other managed AI/ML services • Strong debugging, performance tuning, and root cause analysis skills Seniority Level Mid-Senior level Industry IT Services and IT Consulting Employment Type Full-time

📌 DevOps Engineer I – AWS & AI (Maharashtra)
🏢 Panzer Technologies
📍 Maharashtra