
AWS Cloud Engineer
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Hybrid
Location: Portsmouth • New Hampshire • United States
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Salary
💰 $110,000 - $120,000 per year
About the role
- 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)
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AWS LambdaNode.jsPythonAPI GatewayEvent BridgeDynamoDBAmazon S3ReactTypeScriptInfrastructure as Code
Soft Skills
engineering practicestechnical orientationcost optimizationsecurity best practicesobservabilityreliabilitycommunicationcollaborationproblem-solvingadaptability