Senior Back-End Engineer (Python)

Posted 3 Days Ago
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Geneva, CHE
In-Office
Senior level
Artificial Intelligence • Software • Travel • Analytics
The Role
Design, develop, and maintain scalable Python backend APIs and infrastructure using FastAPI, Flask, PostgreSQL, and AWS. The engineer will implement CI/CD and automated testing, deploy containerized services with Docker and Kubernetes, collaborate with product, frontend, and data teams, mentor colleagues, and improve engineering practices. The role may also support data pipelines and analytics capabilities.
Summary Generated by Built In
Who we are

ZYTLYN Technologies empowers companies across the $11 trillion travel industry to shape the future with predictive AI solutions that augment commercial planning, sales, marketing, retailing and operations. We work with some of the largest travel brands in the world, and our vision is to answer highly detailed and granular questions about the future of travel, such as demand, supply, market fluctuations and pricing. Our core focus is on airlines, airports, travel agencies, destinations, tourism boards, hotels, car rentals, travel retailers, and luxury brands.

Who we are looking for

As a Senior Back-end Engineer (Python), you will serve as a senior member of our tech team, reporting directly to the CEO in a flat organisational structure. Working closely with Engineering and Data Science, you will spend the majority of your time developing the Python-based application logic and services that power our product. Additionally, you will provide support for data pipelines as needed to assist our analytics capabilities.

Location / Contract type
  • Geneva, Switzerland Office;
  • Full-time, Permanent contract.
Our culture

We have a culture that focuses on empowering people, with team members working in our HQ (Geneva, Switzerland), and all across Europe (e.g. France, Spain, Italy, Poland, UK). We believe a diverse team creates better outcomes and fosters a better environment for learning and growth. We put a lot of emphasis on communication, listening, efficient processes and trusting our team. We rely on each other, and work together to achieve our common goals. We believe in working smart, with strong focus and intensity, tackling every challenge as a team.

Your work
  • Own the design, development, and maintenance of scalable backend APIs and related infrastructure using FastAPI, Flask, and Postgres.
  • Design and optimise backend architecture on AWS, ensuring high performance, reliability, and security.
  • Champion CI/CD best practices and automated testing pipelines with GitLab CI/CD to ensure high-quality, maintainable code.
  • Collaborate closely with product managers, frontend engineers, and data teams to deliver robust backend solutions that power analytics, product features, and decision-making.
  • Mentor and support fellow engineers in building scalable, maintainable, and well-tested systems.
  • Continuously influence and improve the team’s engineering practices, tools, and workflow.

RequirementsBasic requirements
  • 5+ years of experience designing and building backend systems, APIs, or services.
  • Hands-on experience with Python frameworks (FastAPI, Flask) and relational databases (Postgres).
  • Proven ability to deploy and maintain applications in AWS environments.
  • Strong experience with CI/CD pipelines, automated testing, and version control (GitLab/Git workflows).
  • Experience with Docker and Kubernetes for containerised application deployment.
  • Works collaboratively and values team success over individual credit.
  • Thrives in cross-functional teams and enjoys helping others succeed.
  • Highly organised, self-motivated, and able to work in a fast-moving environment.
  • Strong written and verbal communication skills.
Bonus points
  • Experience with frontend frameworks, particularly Next.js.
  • Knowledge of MLOps practices and tools.
  • Experience with embeddings, vector databases, hybrid search, chunking, reranking, tool-calling, and source-grounded LLM answers.
  • Background in data engineering, including building or interacting with data pipelines or analytics systems.
  • Knowledge of Infrastructure as Code tools (Terraform).
  • Exposure to monitoring, observability, and performance optimisation for backend services.
  • Passion for self-learning and personal growth, continuously improving skills and keeping up with new technologies.

BenefitsWhat we offer
  • Join a team of exceptional talent — At ZYTLYN, we hire thoughtfully and selectively, bringing together a small, focused team of high performers. We believe that a lean and empowered team moves faster, builds smarter, and achieves more. You’ll collaborate with driven colleagues who value efficiency, ownership, and impact.
  • Competitive salary- adjusted for experience and market benchmarks.

Skills Required

  • 5+ years of experience designing and building backend systems, APIs, or services
  • Hands-on experience with Python frameworks, including FastAPI and Flask
  • Experience with relational databases, particularly PostgreSQL
  • Experience deploying and maintaining applications in AWS environments
  • Strong experience with CI/CD pipelines, automated testing, and GitLab or Git workflows
  • Experience with Docker and Kubernetes for containerized application deployment
  • Collaborative approach and ability to work effectively in cross-functional teams
  • Strong written and verbal communication skills
  • Experience with frontend frameworks, particularly Next.js
  • Knowledge of MLOps practices and tools
  • Experience with embeddings, vector databases, hybrid search, chunking, reranking, tool-calling, or source-grounded LLM answers
  • Background in data engineering, data pipelines, or analytics systems
  • Knowledge of Infrastructure as Code tools, particularly Terraform
  • Experience with monitoring, observability, and backend performance optimization
Am I A Good Fit?
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The Company
18 Employees
Year Founded: 2021

What We Do

Vorsee, a brand operated by ZYTLYN Technologies AG, develops autonomous AI agents for the travel industry. Its agents use proprietary predictive travel insights and travel-specific quantitative models to forecast demand and turn those forecasts into commercial actions. The platform recommends pricing, optimizes inventory, and updates marketing strategies within company-defined guardrails, helping travel organizations anticipate market shifts and capture opportunities with less manual work.

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