Senior Cloud Engineer

Role Overview

• Design and operate serverless APIs and event‑driven services on AWS
• Build document ingestion, OCR/ML extraction, and generative‑AI workflows
• Normalize extracted data into standard schemas while ensuring security, observability, scalability, and cost‑efficiency
• Build serverless systems using API Gateway, Lambda, Step Functions, EventBridge
• Develop OCR/ML and generative‑AI extraction pipelines
• Implement storage and indexing using S3, DynamoDB, RDS
• Ensure IAM security, monitoring, CI/CD, and cost optimization

Requirements

• AWS Serverless Lambda (Node.js/Python): cold-start tuning, concurrency control
• API Gateway: routing, auth, transformations, throttling
• EventBridge/SNS/SQS: async patterns, retries, DLQs
• Storage & Data S3 lifecycle/versioning; presigned URLs
• DynamoDB single-table design, GSIs; RDS when relational data is needed
• Integrate LLM/GenAI APIs (OpenAI, Anthropic, Bedrock)
• Experience with Textract/Tesseract and IDP tools
• Knowledge of RAG, embeddings, and schema mapping
• REST/GraphQL best practices, versioning, idempotency
• OpenAPI/AsyncAPI spec-driven development
• Monitoring/tracing with CloudWatch, X-Ray/Otel
• CI/CD with GitHub Actions, CloudFormation/CDK
• Blue/green or canary deployments
• IAM least-privilege, KMS encryption, OWASP principles
• Optimize Lambda, S3 lifecycle, DynamoDB capacity, API Gateway usage

Tech Stack

• AWS
• DynamoDB
• GraphQL
• JavaScript
• Node.js
• Python
• Ray

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs