AWS DevOps Engineer (вакансія неактивна)

What You’ll Work On.

As a key developer in a cross functional product + ML team, you’ll help architect and build

Leaptree AI’s end-to-end backend infrastructure for scoring and explanation generation at

scale.

You’ll lead:

• Scalable data pipelines for processing thousands of interactions daily
• Score prediction using SageMaker regression models
• RAG based explanation generation using Claude 3 via Bedrock (Phase 2)
• Environment provisioning using Terraform and AWS native CI/CD
• Design a multi-tenant solution providing a dedicated AI model for each customer

Responsibilities:

• 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)

You Should Have:

• 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

Bonus Points:

• Past work with OpenSearch, SageMaker Pipelines, or RDS
• Understanding of Bitbucket Pipelines + AWS CI/CD integrations
• Experience building or integrating RAG pipelines
• Familiarity with Claude via Amazon Bedrock

WE OFFER:

• Opportunity for self-realization
• Friendly team and enjoyable working environment
• Flexible working schedule
• 21 days of annual leave
• 5 sick-paid days
• Experienced and loyal management.