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