Staff Software Engineer Infrastructure Google Cloud Networking jobs

Your day-to-day responsibilities includes:

• Collaborate with the other engineering teams across the stack while working closely with counterparts within Knowledge Graph, Search, Listings, Trips, and others to build scalable and high quality platforms and foundations.
• Work closely with cross functional partners to define and execute on products and features that enable our guests and hosts to set up their accounts and profiles quickly and easily.
• Build efficient and reusable backend components, architect reliable, performance and scalable systems.
• Evaluate and prototype new technologies and techniques that can enable faster iterations and execution across our tech stack.
• Mentor and support other engineers in the team or in related teams.

• 3+ years industry experience
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
• Experience in building and scaling high-quality and high-traffic products (or systems).
• Ability to evaluate technical approaches and design product solutions to solve real-world problems.
• Ability to drive alignment, manage projects and effectively collaborate with stakeholders.

Offices: United States

The Community You Will Join:

an Android Studio plugin to supercharge IDE & Sync performance, among many others.

A Typical Day:

• Collaborate with team members & cross functional partners to identify opportunities for improving our developers’ productivity.
• Drive roadmap projects and deliver high quality results to further our mission.
• Improve our existing frameworks & build system to deliver on our ambitious vision.

Your Expertise:

• 9+ years of industry experience building Android apps using Kotlin.
• Experience building frameworks and build-systems (using Gradle, Bazel, etc.)
• Deep technical understanding of how dependency injection systems work (e.g. Dagger)
• Experience building code generation tools (e.g. annotation processors, KSP, Kotlin compiler plugins)
• Experience working in medium to large-scale codebases.
• [Nice to have] 2+ years of experience using Jetpack Compose.
• [Nice to have] Experience building Android Studio / IntelliJ IDEA plugins.
• [Nice to have] Experience using Compose for desktop.
• Ability to travel to the San Francisco office for about a week each quarter for gatherings.

Offices: United States

A Typical Day:

• Work closely with Android and iOS engineers on the team to develop foundational, cross platform solutions.
• Partner with Airbnb product teams to understand their pain points, pilot proposed solutions, and drive adoption of paved path tooling and frameworks.
• Collaborate with a wide variety of infrastructure teams as well as support product foundation teams as they build additional capabilities on top of the team’s offerings.
• Participate in all phases of software development from architecture/design through implementation, testing, and on-call.

Your Expertise:

• 8+ years of industry experience.
• Extensive experience working with TypeScript to develop web applications, including designing and integrating with GraphQL and REST APIs.
• Proven track record working on an Infrastructure or Platform team supporting medium to large engineering organizations.
• Excellent engineering and coding skills, with a solid understanding of client networking, performance optimization, caching strategies, client storage solutions, and asynchronous programming.
• Experience mentoring and growing junior engineers and driving best practices for web client development.
• Motivation for personal growth and a commitment to learning new technologies to support the team’s evolving needs.
• Interest in innovations within the web industry and a passion for staying current with emerging trends.
• Interest in developing internal tooling and CLI (command line interface) applications. Experience building agentic AI solutions is a plus.

Offices: United States

The Difference You Will Make:

As a Senior Engineer in Pricing and Availability, you’ll lead large projects spanning engineers, services, and products. You will transform business needs into technical requirements, drive scoping, and lead implementation while coordinating with stakeholders and peer teams. And, importantly, you’ll mentor and support engineers on our team.

At the Senior Engineer level, you’ll help lead the development and refinement of major new features on Airbnb. This includes shaping desired product goals into a viable guest user experience, while also helping increase developer velocity by preserving technical quality on critical surfaces for the Airbnb guest experience.

A Typical Day:

• Explore, shape, and develop new product experiences alongside cross-functional partners (design and product); from ideation to implementation at scale
• Lead investments into new technical capabilities that push the envelope and unlock product innovation
• Nurture a culture of happy healthy teams including supportive feedback, technical quality, and having fun
• Identify and propose solutions to problems that might otherwise create dissonance between technical and product engineering excellence
• Collaborate with internal teams across Search, Checkout, Reservations, Host Settings, Listings, Payments, Tax, Cities, Trust and others

Your Expertise:

• 5+ years of relevant software development industry experience in a fast-paced tech environment
• Excellent communication skills and the ability to work well within a team, and across teams, at Airbnb
• Ability to drive alignment, manage projects and effectively collaborate with stakeholders.
• Capable of making data driven decisions and articulating tradeoffs in any technical decisions.
• Strong programming (Scala / Python / Java/ C++ or equivalent) skills for hands-on IC work
• Passion to level-up those around you through curiosity and fostering a collaborative and inclusive team environment

Offices: United States

The difference you will make:

As a member of this team you would be working with talented engineers on building infrastructure to solve cutting edge experimentation problems. The primary focus of this position will be on our platform’s results computation stack, consisting of data pipelines, a grammar for experimentation, and an analysis engine. You will bring a deep understanding of data processing, API design and experimentation methodology to help us reliably and accurately calculate results at scale, and to push the boundaries of what we can learn from experiments. The stack you would be working with consists of technologies like Spark, Trino, Python, and Airflow.

A typical day:

• Work to build, maintain, optimize and extend complex and large scale data processing pipelines.
• Contribute to Airbnb’s library for flexible and extensible on-demand analysis of experiments.
• Partner with teams across the organization to improve the impact of experimentation across the company. Participate in all phases of software development of the overall platform from architecture/design through implementation, testing, and on-call.
• Work closely with Data Science partners to implement sophisticated statistical methodologies into the platform.

• Participate in experiment reviews to understand how our customers use our infrastructure, identify areas for improvement and learn about features rolling out across the company.

Your expertise:

• 9+ years in a hands-on software engineering role, shipping high quality code to production, especially for high scale, distributed systems, data pipelines, and/or analytical libraries.
• Experience with at least one modern, general programming language (e.g. Python, Java)
• Experience with scientific/statistical computation, especially involving online experimentation
• Experience building software with ergonomic interfaces and great developer experience, especially for technical data users (e.g. data scientists).
• Experience with at least one modern “big data” technology (e.g. Spark, Dataflow)
• Strong SQL skills - you should be able to “go deep” when debugging or optimizing.
• [Nice to have] Experience building frameworks which generate data pipelines at scale.
• [Nice to have] Experience with a distributed stream processing framework (e.g. Flink, Kafka, Dataflow)

Offices: United States

The Community You Will Join:

You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.

The Difference You Will Make:

As a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:

• Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
• Delivering data and insights to enable the company’s supply growth efforts
• Providing mentorship to other data scientists and exemplifying a high bar for technical excellence

A Typical Day:

• Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.
• Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.
• Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.
• Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.

Your Expertise:

• 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
• Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
• Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
• Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
• Proven ability to communicate clearly and effectively to audiences of varying technical levels

Offices: United States

The Difference You Will Make:

At CnC, data is foundational to our organization’s success.This role will lead key initiatives to design and build large-scale, distributed data systems - both batch and real-time processing. The data will power machine learning models and unlock new product features. You’ll be at the center of cross-functional collaboration, bridging backend, frontend/client, and machine learning engineering teams.

A Typical Day:

• Shape the team’s long-term vision and roadmap in close collaboration with cross-functional partners across Airbnb
• Build strong relationships with partner engineering teams, including backend, client, data science, analytics, and ML, to drive aligned and impactful outcomes
• Design, develop, and maintain reliable, scalable data pipelines - both batch and real-time - that collect, process, and serve data from diverse sources across Airbnb
• Implement robust offline and online feature building processes to enable faster production of ML products
• Architect and build ML infra and optimize for performance, scalability, and cost-effectiveness
• Mentor and develop engineers on the team, while also contributing to and influencing the broader data engineering community at Airbnb

Your Expertise:

• 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
• Strong CS fundamentals, and knowledge of architecture and common design patterns
• You’re passionate about being in a product-focused environment where everyone cares deeply about customer impact
• You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink
• Experience collaborating with client, backend, ml, analytics teams, product and business partners
• Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams
• Experience working on/with end-to-end Machine Learning products
• Excellent communication skills, both written and verbal

Offices: United States