Job Summary

We are seeking a skilled DevOps Platform Engineer to design, build, and maintain scalable cloud-native infrastructure for AI-powered applications and enterprise platforms. The ideal candidate will have strong experience in AWS cloud services, container orchestration, Infrastructure as Code (IaC), observability, security, and CI/CD automation.

This role requires expertise in deploying and operating resilient, secure, and cost-effective platforms supporting modern AI/GenAI workloads and distributed systems.

Primary Responsibilities

- Set up and maintain cloud infrastructure including compute, storage, networking, and serverless services
- Implement CI/CD pipelines for automated testing, deployment, and release management
- Establish monitoring, logging, and observability systems across distributed services and AI workloads
- Handle security, compliance, IAM policies, and access control mechanisms
- Optimize infrastructure costs and resource utilization across cloud environments
- Manage containerized applications and orchestration platforms such as Kubernetes and ECS/EKS
- Automate infrastructure provisioning using Infrastructure as Code (Terraform)
- Collaborate with engineering and AI teams to ensure scalable and reliable deployments
- Implement disaster recovery, backup, and high-availability strategies
- Support centralized tracing, logging, and optional LLM tracing/evaluation tooling where required

Essential Skills

- Strong experience with AWS Cloud Services including AWS Bedrock, IAM, Lambda, API Gateway, ECS/EKS,



and VPC
- Hands-on experience with container orchestration platforms such as Kubernetes, Docker, ECS, and EKS
- Expertise in Infrastructure as Code (Terraform)
- Experience implementing CI/CD pipelines using modern DevOps tooling
- Strong understanding of monitoring and observability tools including CloudWatch, X-Ray, and centralized tracing/logging systems
- Knowledge of security best practices, secrets management, and cloud governance
- Experience with networking concepts, load balancing, and distributed systems
- Strong troubleshooting and performance optimization skills
- Understanding of scalable architectures for AI/GenAI workloads is a plus.

Preferred Qualifications

- Experience supporting AI/ML or GenAI platforms in production environments
- Knowledge of LLM tracing, evaluation, and observability frameworks
- Experience with serverless and event-driven architectures
- Familiarity with DevSecOps practices and compliance frameworks
- Strong scripting and automation skills using Python, Bash, or similar languages
- Ability to work in fast-paced cloud-native engineering environments.

Ideal Candidate Profile

- Solid DevOps/Platform engineering background with cloud-native expertise
- Hands-on experience operating scalable AWS-based platforms
- Comfortable managing infrastructure, deployments, observability, and security
- Strong collaboration and problem-solving skills
- Experience working with modern AI-powered application ecosystems.

📌 DevOps / Platform Engineer (Bengaluru)
🏢 JRD Systems
📍 Bengaluru