Senior Cloud & DevOps Engineer - AI Platform Operations

Senior Cloud & DevOps Engineer AI Platform OperationsJob Description :

We are looking for a Senior Cloud & DevOps Engineer AI Platform Operations to join our client in the AI and decision intelligence space.

This role is ideal for a senior AWS cloud, DevOps, SRE, or platform engineering professional who can design, deploy, monitor, and support production-grade AI and data applications. The selected candidate will own cloud infrastructure, deployment automation, monitoring, incident response, and operational readiness for AI applications built using AWS, Claude/Bedrock, FastAPI, PostgreSQL, S3, and related technologies.

This is not a traditional systems administration role. The role requires hands-on cloud engineering, DevOps discipline, production support maturity, and the ability to manage junior systems engineers in an 18x7 support model.

Key responsibilities include :

• Design, deploy, and manage AWS infrastructure for AI, data, and application workloads.

• Set up and manage services such as EC2/ECS/App Runner, RDS PostgreSQL/Aurora PostgreSQL, S3, IAM, VPC, Secrets Manager, KMS, CloudWatch, and related AWS services.

• Support deployment of FastAPI, Streamlit, background workers, and AI application services.

• Configure secure access to Amazon Bedrock / Claude and related AI platform services.

• Build and maintain CI/CD pipelines for reliable application deployment.

• Implement monitoring, logging, alerting, backup, recovery, and incident-response processes.

• Create and maintain runbooks, SOPs, deployment checklists, and support documentation.

• Lead L1/L2 operational support and coordinate L3 escalation to AI engineers, data engineers, and AI scientists.

• Manage, guide, and review the work of junior systems engineers.

• Ensure infrastructure is secure, auditable, cost-aware, and suitable for financial-services workloads.

• Participate in client-facing technical discussions, status reviews, and incident reviews as required.

Requirements :Required :

• 7+ years of experience in cloud engineering, DevOps, SRE, platform engineering, or production systems operations.

• Strong hands-on experience with AWS.

• Experience with core AWS services such as EC2, ECS/Fargate, App Runner, RDS PostgreSQL/Aurora PostgreSQL, S3, IAM, VPC, Security Groups, Secrets Manager, KMS, CloudWatch, and CloudTrail.

• Experience deploying and supporting Python-based applications, APIs, containers, and web services.

• Strong understanding of Docker, containerized deployments, CI/CD pipelines, and release management.