Senior QA Automation Engineer, AI Systems

This is a fully remote position, open to applicants in Qatar.

📋 Description

• Provision and configure a dedicated VPC along with a segmented cloud environment on AWS.

• Establish the foundational CI/CD pipeline and ensure its maintenance and evolution throughout all delivery phases.

• Configure and oversee the infrastructure for the vector store (OpenSearch/Pinecone on AWS).

• Set up and manage the observability stack, including CloudWatch, X-Ray, alerting thresholds, and LLM-specific monitoring.

• Implement infrastructure-as-code across all environments (development, staging, production) utilizing Terraform or CDK.

• Manage secrets, KMS encryption key configurations, and tenant-scoped access controls.

• Configure connectivity for LLM providers (OpenAI / Anthropic / Amazon Bedrock enterprise tier, zero-data-retention).

• Define and execute an environment promotion strategy that aligns with the 2-week sprint cadence.

• Support the infrastructure needs for the incremental ingestion pipeline and manage nightly scheduling.

⛳️ Requirements

• Over 6 years of experience in DevOps or cloud infrastructure engineering, with a strong emphasis on AWS.

• Proficiency in infrastructure-as-code tools such as Terraform, CloudFormation, or AWS CDK.

• Familiarity with CI/CD tools including GitHub Actions, AWS CodePipeline, or similar alternatives.

• Comprehensive knowledge of core AWS services: VPC, ECS, Lambda, S3, DynamoDB, API Gateway, Cognito, CloudWatch, and X-Ray.

• Experience in designing and managing multi-tenant cloud environments that ensure tenant-level data isolation.

🏝️ Benefits

• Flexible work arrangements.