OMG Technology is seeking a Senior AWS Platform Engineer / AWS AI Infrastructure Engineer to design, deploy, and support scalable cloud platforms on AWS for a client in the pharmaceutical industry. The role focuses on managing AWS AI services, containerized deployments, and ensuring platform reliability while collaborating with various teams.
Responsibilities:
- Design, host, manage, and support AWS-based AI and application infrastructure in production environments
- Architect and manage MCP Servers hosted on AWS, ensuring scalability, availability, and security
- Deploy and manage containerized workloads using Docker on ECS, EKS, and Fargate
- Support and administer core AWS infrastructure including EC2, networking, and security configurations
- Work with AWS AI services, including Amazon Bedrock and Amazon SageMaker, to support AI/ML workloads
- Manage and support AWS databases (both managed and self-hosted) for application and AI use cases
- Implement and maintain DevOps practices, CI/CD pipelines, and infrastructure automation in AWS
- Configure and manage API Gateway, including secure access, integrations, and authorization
- Ensure AWS environments follow best practices for security, IAM roles and policies, scalability, and reliability
- Monitor, troubleshoot, and resolve production issues across AWS platforms
- Provide AWS platform administration and ongoing support
- Document system architectures, deployment processes, runbooks, and operational procedures
Requirements:
- 5-7 years of hands-on AWS experience with medium-level depth across core services
- Strong familiarity with AWS AI Infrastructure, including Amazon Bedrock and SageMaker
- Proven experience designing and managing MCP Servers in AWS
- Hands-on experience with Docker-based deployments using ECS, EKS, and Fargate
- Solid experience with AWS EC2 configuration, hardening, and security
- Experience working with AWS databases (RDS, DynamoDB, Aurora, or hosted databases on EC2)
- Strong understanding of AWS IAM, security protocols, roles, policies, and access controls
- Experience configuring and securing API Gateway access
- Hands-on experience with DevOps practices, automation, and CI/CD pipelines in AWS
- Experience providing AWS platform administration and production support
- Familiarity with monitoring, logging, and alerting using AWS-native tools
- Ability to work collaboratively with application, DevOps, and platform teams