AWS Cloud Engineer

Role Overview

• Design, build and operate serverless APIs and event-driven services on AWS (API Gateway, Lambda, Step Functions, Event Bridge)
• Integrate document ingestion, OCR/ML extraction, and generative AI pipelines, normalize extracted data to a common schema
• Build tooling and UIs for human-in-the-loop validation (React, TypeScript, back-end APIs)
• Ensure security, observability, scalability, and cost efficiency across services (IAM, VPCs, monitoring, tracing, CI/CD)

Requirements

• Hands-on experience with AWS Lambda Node.js or Python runtime including cold start optimization, memory tuning, and concurrency limits
• API Gateway REST and/or HTTP APIs routing, authorization, request/response transformations, throttling, and caching
• Event driven services Event Bridge, SNS, and SQS for asynchronous pipelines, retry semantics, DLQs, and at least once/exactly once considerations
• Orchestration AWS Step Functions Standard and Express for coordinating multi-step workflows and long-running jobs
• Storage Amazon S3 for object storage, lifecycle policies, versioning, presigned URLs, and understanding of S3 performance and consistency model
• Databases DynamoDB single table design, GSIs, transactions, and/or RDS Postgres/MySQL depending on relational needs, familiarity with choosing the right persistence model
• IAM security Least privilege IAM policies, resource based policies, KMS for encryption and secure access patterns
• Generative AI / ML and document extraction
• Experience integrating large language models (LLMs) and generative AI APIs e.g., Open AI, Anthropic, AWS Bedrock or self-hosted models and designing safe cost-efficient prompt strategies, batching and caching
• Basic familiarity with document OCR and extraction tools (i.e., AWS Textract, Tesseract) and third-party OCR/IDP Intelligent Document Processing platforms
• Knowledge of structured information extraction approaches, prompt engineering for LLMs, retrieval augmented generation (RAG), text embeddings, and vector similarity search
• Data normalization, schema mapping, designing canonical schemas, entity extraction, schema matching and validation, and transformation pipelines
• API design and eventing (RESTful and/or GraphQL), API design best practices, versioning, pagination, error handling, idempotency, and spec-driven development
• Open API, Async API, Idempotent operations, concurrency control, optimistic locking, and sequence guarantees where required
• Event modeling, designing domain events, event contracts, event versioning, and event driven architectures with durable delivery (Event Bridge, SNS/SQS, Kafka)
• Frontend and human-in-the-loop tools, Frontend frameworks (React preferred), TypeScript, component libraries, and state management for building validation UIs and dashboards
• UX for human-in-the-loop designing review/approve/reject workflows, diffing extracted vs. original content, confidence indicators, and bulk validation tools
• Micro Frontend
• Implement micro frontends to compose UX components as independently deployable versioned modules
• Analytics visualization (integrating charts, graphs for accuracy metrics, error rates, model drift indicators) leveraging tools like Power BI or Tableau
• Observability, reliability, and security (Monitoring, tracing, CloudWatch metrics, logs, XRay, or Open Telemetry tracing, structured logging, and building dashboards, alerts for SLOs and error budgets)
• Testing (CICD, automated testing, unit, integration, contract tests), deployment pipelines (GitHub Actions, Cloud Formation, CDK, canary, blue-green deployments)
• Security best practices (encryption at rest/in transit, secrets management, input validation, rate limiting, and OWASP considerations)
• Cost optimization (measuring and optimizing for Lambda compute costs, S3 lifecycle, DynamoDB capacity modes and API Gateway charges)
• Engineering practices, soft skills, technical oriented
• Infrastructure as code (AWS CloudFormation or CDK for reproducible deployments)

Tech Stack

• AWS
• Cloud
• DynamoDB
• GraphQL
• JavaScript
• Kafka
• MySQL
• Node.js
• Postgres
• Python
• React
• Tableau
• TypeScript

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
• Other benefits as provided by local policy and eligibility