DevOps / Platform Engineer

JRD Systems; Hyderabad, Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

JRD Systems seeks a skilled DevOps Platform Engineer to design, build, and maintain scalable cloud-native infrastructure for AI-powered applications and enterprise platforms. You will work with AWS services, container orchestration, IaC, observability, security, and CI/CD automation to deploy resilient, secure, and cost-efficient platforms supporting modern AI workloads.

The role involves collaborating with AI teams to ensure scalable deployments, implementing disaster recovery and high

Qualifications

• Experience with AWS services and cloud architectures for AI workloads.
• Hands-on with Kubernetes/ECS/EKS and container orchestration.
• Experience with Terraform IaC and CI/CD pipelines.
• Strong observability, monitoring, and security best practices.

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 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

Skills

AWS Cloud Services

Kubernetes

Terraform

CI/CD pipelines

Monitoring & observability

Security & IAM

Networking & load balancing

AI/GenAI platforms

SRE & HA

Scripting (Python/Bash)

Tools

Terraform

Docker

CloudWatch/X-Ray

CI/CD tooling

Job description

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

• Strong 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.