Cruise Planners Travel Agency
Cruise Planners Travel Agency
Cruise Planners Travel Agency helps travelers plan and book cruise and land vacations through personalized travel advice. Its offerings include cruises, guided tours and all-inclusive resorts, with options for family trips, weddings, honeymoons, group travel and luxury holidays. The agency operates in the travel and hospitality sector, and its work centers on matching clients with trips and travel deals suited to their plans.

Data and AI Engineer

Build AWS data pipelines, dimensional models, and Bedrock agents, then deliver AI products and automation for Cruise Planners’ home-based travel agency franchise network.

Apraksts

  • Create and run AWS data pipelines with Glue, Step Functions, Lambda, EventBridge, and S3 to supply the Redshift warehouse.
  • Run containerized production pipelines on AWS Fargate and ECS, with CloudWatch alarms and health monitoring.
  • Develop Redshift dimensional models, including fact tables, conformed dimensions, and analytics marts.
  • Build document extraction pipelines using Amazon Bedrock Data Automation blueprints.
  • Develop and maintain Bedrock Knowledge Bases for retrieval-augmented generation.
  • Create agents with the Strands Agents SDK on Bedrock AgentCore.
  • Deliver applied LLM data products for reporting, search, and agent-driven operations.
  • Deploy and manage AWS services from development through operation, including internal web apps and demos.
  • Develop internal tools and integrations, including MCP servers.
  • Prototype and launch AI-powered applications for travel advisors and internal teams.
  • Manage logs, alarms, runbooks, on-call response, incident follow-up notes, and data privacy compliance monitoring.
  • Develop with Claude Code and project-scoped MCP servers.
  • Record technical decisions and architecture in the team wiki.
  • Take work from scoping through building, deployment, documentation, and ongoing operation.
  • Join at Engineer I, Engineer II, or Senior level according to experience, results, and scope of judgment.

Prasības

  • Bachelor’s degree in computer science, data science, statistics, engineering, or a related discipline.
  • A master’s degree is preferred for the Senior level.
  • Production experience appropriate to the Data & AI Engineer I, II, or Senior level.
  • Authorized to work in the United States without employer sponsorship.
  • Experience developing with AWS data and serverless services.
  • Experience with Amazon Bedrock and AgentCore Runtime.
  • Python as the primary language and working knowledge of SQL.
  • Knowledge of data warehousing and dimensional modeling.
  • Experience with agent and large language model frameworks.
  • Experience with infrastructure as code.
  • Experience using Claude Code as the primary development environment, including parallel sessions.
  • Experience working with MCP servers.
  • Strong problem-solving, communication, and teamwork abilities.
  • Able to write clear documentation and explain technical trade-offs to people outside engineering.

Priekšrocības

  • Professional development and practical training with leading industry executives.
  • Hybrid schedule with remote work Mondays and Fridays and onsite work Tuesdays through Thursdays.
  • Equal opportunity employment and protections against discrimination.

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