Build and own Python services and APIs that power Atlys' visa processing workflows across 127 countries. Integrate with government portals, embassies, payment providers, and document pipelines to keep systems reliable and scalable. Partner with the AI team to productionize LLM/document intelligence services with strong testing, security, monitoring, and incident response.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About Atlys
Our mission is to enable every person on Earth to travel freely.
Travel should feel exciting. Instead, too much of it is still defined by paperwork, uncertainty, and processes that were never designed for travellers.
Atlys is changing that.
We're building an AI-first platform that removes friction and uncertainty from travel. To date, we've processed visas for 1M+ travellers across 127 countries. But we're still early.
The Role
We're looking for a Backend Engineer to build the services and systems that power visa processing for travellers around the world, from the APIs behind our apps to the pipelines that file every application.
You'll design and own Python services that connect government portals, payment providers, document pipelines and our AI systems, and keep them fast, reliable and correct as we scale across countries and volume.
This role is for someone with a strong engineering foundation who loves clean systems design, and who gets as much satisfaction from a service that quietly works at peak load as from shipping a new feature.
The Job
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- Build the core platform by designing and shipping Python services and APIs that power applications, payments, document handling and order tracking across 127 countries.
- Integrate with the real world by building robust integrations with government portals, embassies, payment gateways and partners, handling retries, rate limits, flaky endpoints and ever-changing rules gracefully.
- Scale for volume by designing data models, queues and async workflows that hold up through peak travel seasons and sudden spikes in demand.
- Put AI into production by working closely with our AI team to turn LLM-powered agents and document intelligence pipelines into reliable, observable backend services.
- Own systems end to end by taking work from design to production, including deployment, monitoring, alerting and incident follow-ups, with a high bar for testing and security since we handle passports and financial documents.
You'll Likely Thrive In This Role If You
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- Have 2-5 years of backend engineering experience, building and running production systems at meaningful scale.
- Are exceptionally strong in Python and have shipped production services with frameworks such as FastAPI, Django or Flask.
- Have solid fundamentals in databases and distributed systems, including PostgreSQL, Redis, message queues (Kafka, RabbitMQ, SQS or Celery), caching and async processing.
- Are comfortable with cloud infrastructure and modern tooling such as AWS or GCP, Docker, Kubernetes, CI/CD and observability stacks.
- Have exposure to browser automation (Playwright, Selenium), integrating LLM APIs, or building in fintech, travel or other high-compliance domains (a strong plus).
- Competitive compensation and equity so you participate in the value you help create.
- Comprehensive health insurance covering you and your family, plus annual preventive health check-up on us.
- A thoughtful leave policy with paid time off and company holidays, because great work also requires real time off.
- Lunch, high tea and dinner at the office, so the basics are taken care of while we build together.
- Learning & development credits to invest in courses, books, conferences and tools that help you get better at your craft.
- Relocation support to make moving closer to the team as seamless as possible.
- Great tools to do your best work, including high-spec equipment and software.
- An office designed for more than just work, with pickleball, table tennis, PlayStation, an arcade game room, an F1 simulator and even a full flight simulator.
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Come build the intelligence layer for global travel
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