DevOps (AWS) @ Britenet

Project for a QA and performance platform for customer service and sales teams. Our client helps teams measure and improve agent interactions across email, chat, and voice using structured scorecards. Now they’re building a new layer that automates scoring and generates AI powered explanations.

As a key developer in a cross functional product + ML team, you’ll help architect and build AI’s end-to-end backend infrastructure for scoring and explanation generation at scale.

• 3+ years of AWS backend / serverless experience
• Proficient in Node.js / TypeScript
• Experience writing and deploying Terraform for AWS services
• Familiarity with event driven and batch processing workflows
• Knowledge of LLMs, embeddings, and inference (Claude / GPT / SageMaker)
• Comfort working with PII, security boundaries, and scalable deployments

Welcome Skills

Project for a QA and performance platform for customer service and sales teams. Our client helps teams measure and improve agent interactions across email, chat, and voice using structured scorecards. Now they’re building a new layer that automates scoring and generates AI powered explanations.

As a key developer in a cross functional product + ML team, you’ll help architect and build AI’s end-to-end backend infrastructure for scoring and explanation generation at scale.

Develop Lambda functions and ECS Fargate tasks (Node.js + TypeScript), Implement and orchestrate Step Functions workflows, Create secure APIs with API Gateway and Cognito, Integrate with the Salesforce API, Write Terraform scripts to provision : Bedrock & SageMaker access, OpenSearch vector stores, Secure VPCs, IAM roles, Cognito pools, RDS databases, Manage multi environment infrastructure (dev, staging, prod), Work with Bitbucket for version control; automate CI / CD via AWS-native tools, Optimize for cost, performance, security (KMS, redaction, encryption)] Requirements : DevOps, AWS, Terraform, Node.js, TypeScript, LLM