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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating APIs and microservices, with a strong focus on AI Assistant platform integration and modern CI/CD practices. Proficient in Python and additional backend languages, with a solid understanding of cloud-native architectures and policy-as-code methodologies.
Highest-signal resume keywords
Python ProficiencyAPI DevelopmentCI/CD PracticesAI Assistant IntegrationSystem Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringMicroservicesContainerizationCode ReviewPolicy-as-CodeSpec-Driven DevelopmentAI-Augmented Development ToolsCloud-Native ArchitectureObservabilityPerformance Optimization
Soft Skills
CollaborationClear CommunicationAttention to QualityAbility to Work with AmbiguityIterative Delivery
Tools & Technologies
AI Code AssistantsDevSecOps PracticesTelemetry ToolsAutomated Compliance ControlsFunction Calling
Industry Keywords
Travel DomainMarketplaceMulti-Sided PlatformsInnovation LabsEnd-to-End Delivery
Tech Stack
Tools & technologiesCloudJavaMicroservicesPythonTypeScriptGo
About the role
Key responsibilities & impact- Build and operate services, APIs, and integration layers connecting AI Assistants to Amadeus travel capabilities
- Write clear, well-scoped specifications for AI coding agents and human engineers
- Review and steer AI-generated specifications, code, and tests for domain correctness, security, performance, and architectural alignment
- Decompose work into small, well-scoped units
- Connect AI Assistant platforms to travel content, availability, booking, and payment capabilities
- Collaborate with architects on system design, technical direction, and architectural decisions
- Instrument systems for observability, telemetry, and continuous validation
- Work within delivery pipelines using golden paths, automated compliance controls, and policy-as-code guardrails
- Partner with product and design to translate travel experience requirements into technical designs
- Collaborate with Universal Distribution, Hospitality, and Payments platform teams
- Turn proven work into reusable capabilities
- Continuously improve team practices, prompts, and patterns for reliable AI-assisted development
Requirements
What you’ll need- 4+ years of software engineering experience
- Must be able to work in the United States without current or future visa sponsorship
- Proficiency in Python and at least one additional backend language (Java, Go, TypeScript, or similar)
- Experience with AI-augmented development tools, AI code assistants, agentic coding tools, or spec-driven workflows, or strong aptitude to adopt them
- Solid understanding of modern CI/CD practices, containerization, and cloud-native architectures
- Experience building and operating APIs and microservices in production at scale
- Strong code review skills and attention to quality, security, and maintainability
- Experience with AI Assistant platform integration patterns, including plugins, skills, function calling, MCP, and conversational APIs
- Familiarity with spec-driven or intent-driven development methodologies
- Background in travel, marketplace, or multi-sided platform domains
- Experience with policy-as-code, automated compliance, or DevSecOps practices
- Familiarity with LLM application patterns such as RAG, orchestration, and function calling
- Experience in innovation labs, end-to-end delivery teams, or incubation environments
- Strong system design, API development, and production operations fundamentals
- Ability to collaborate with product, design, ML engineers, architects, and cross-business platform teams
- Ability to work with ambiguity and iterative delivery
- Clear technical and business communication skills
Benefits
Comp & perks- Competitive remuneration
- Individual and company annual bonus
- Vacation and holiday paid time off
- Health insurances
- Other competitive benefits
- Flexible hybrid schedule
- Professional development through on-the-job training, formal learning activities, day-to-day interactions, and online learning hubs
- Diverse and inclusive workplace
- Flexible working model