Airbnb Senior Software Engineer Tax Engineering 

United States 

17425113

Working environment:

• Inclusive and supportive work environment. We promote sustainable engineering practices, well-being / healthy team dynamics, and value differences.
• Career development-- internal mobility, mentoring opportunities, and leadership development opportunities.
• Work on launching and expanding our protection products across global markets.
• Seize greenfield opportunities on a fast-growing team.
• Deliver on a strategic, multi-year platform roadmap and global rollout.
• Collaborate with product, engineering, data science, data engineering, and numerous platform teams within Airbnb.

The Difference You Will Make:

• As a Software Engineer, you will help us meet this challenge with innovative solutions that enable business agility, efficiency, and accuracy. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you will excel at solving a range of complex problems, developing end-to-end features, and strengthening your domain knowledge over time.

A Typical Day:

• Build microservices, APIs to drive platform integrations across web and mobile platforms
• Collaborate with cross-functional teams to build interfaces and systems that can evolve to meet critical business needs
• Build our platforms--infrastructure, applications and tools, and gain expertise in distributed systems, large compute clusters and petabyte-scale storage infrastructure
• Be part of an impactful team working on scaling distributed applications in a highly-available 24x7 environment, make architectural trade-offs applying design patterns and disciplined execution

Your Expertise:

• Bachelor’s degree, preferably in CS, or equivalent practical experience
• 5+ years industry experience
• Prior real-word experience and demonstrable knowledge in any of Java, Kotlin, Python, Go, Rust, C/C++/C#
• Exposure to architectural patterns of a high-scale web applications, such as well-designed APIs, data pipelines and efficient algorithms
• Experience or desire to work collaboratively in cross-functional teams with design, product and data science partners

Offices: United States