דרושים Staff Software Engineer Growth Platform ב-Airbnb ב-India, Bengaluru

The Difference You Will Make:

As a member of the network infra team, you will be working with talented engineers on cutting edge technologies of cloud native network stack from Layer3 - Layer7. You will contribute to the key infrastructure components that connect all Airbnb users and services across the globe. You will have the chance to define and influence large infrastructure initiatives such as global traffic load balancing and disaster recovery, next-gen service mesh, cross-region gateways and edge security etc.

A Typical Day:

• Work with open source communities (e.g. istio) to build the next generation service mesh for all Airbnb back-end services;
• Build the cross-region gateways and load balancers for global Airbnb services;
• Work with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services;
• Design the multi-region network architecture on public clouds, and build software and operation tools to manage Airbnb’s production network;
• Work with product and engineering teams to optimize the network performance for Airbnb services;

Your Expertise:

• FLUENCY IN ENGLISH REQUIRED
• 5+ years of relevant software development industry experience in a fast paced, high growth tech environment.
• Expertise with virtual network architecture on public cloud providers (e.g. AWS, GCP, Azure) and their network service offerings (e.g., VPC, Security Group, PrivateLink and related products.).
• Experience running large scale networking systems and software (e.g. Edge proxies, DNS, CDN, network gateways), experience working with istio, Envoy is a plus.
• You are a full-cycle developer: strong ownership and experience building and operating high-scale, distributed systems across the full software life cycle.
• You have excellent communication skills and the ability to work well within a team and with teams across the engineering teams.
• You are a strong problem solver and have led a team that is on-call for production infrastructure before.
• You are passionate about efficiency, availability, technical quality and system quality.

Airbnb Cloud Infrastructure in the Media:

• Zero-downtime Istio upgrades across thousands of pods/VMs – - 2025
• KubeCon+CloudNativeCon 2024, , Edie Yang, .
• KubeCon+CloudNativeCon 2024, , Jingming Guo
• The Airbnb Tech Blog 2023, , Ying Zhu
• KubeCon+CloudNativeCon 2022, , Kevin Leimkuhler, Doug Jordan.
• -2022
• KubeCon+CloudNativeCon 2021, . Weibo He, Stephan Chan.
• -2021
• - 2021
• - 2020
• - 2019
• - 2020
• - 2020
• - 2020

Offices: Brazil

Senior Software Engineer, Trust & Safety

A Typical Day:

• Design, implement, and operate resilient and scalable distributed systems
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for engineering systems, drive engineering decisions, and quantify impact.
• Hands-on prototype, develop, productionize, and test solutions and defenses to existing and emerging fraud trends.
• Mentor other engineers in developing their technical and collaboration skills
• Advocate and participate in efforts to advance Airbnb’s engineering processes and technical foundations.

Your Expertise:

• 7+ years of industry experience
• BE OR B.tech in Computer Science, a related field, or equivalent work experience
• Strong programming in Python / Java/ C++ or equivalent, DSA - Data structure and Algorithm and data engineering skills
• 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.
• Passionate about AI with experience and strong grasp of current trends in Generative AI, LLMs, and related technologies.
• Experience with the Trust and Risk domain is a plus.

Offices: Bangalore, India

The Community You Will Join:

The CRM Engineering team builds world-class tools that drive growth and foster meaningful relationships between Airbnb and its community, including Hosts, Guests, Law Enforcement, Government Regulators, Local Community Leaders, and more. This team tackles some of the most challenging and unique problems faced by our business. Here are a few examples:

• Growth Platform: Designed to increase supply and retain existing hosts.
• Policy Platform: Enables Airbnb to engage with regulatory bodies across the globe regarding short-term rental regulations. This platform tracks regulations that impact the Airbnb business and provides intelligence to address unique business challenges.
• Community Platform: Establishes a social platform to drive community enablement, collaboration, and success.
• Agent Tools: Empowers agents to understand and resolve issues that customers are unable to address on their own.
• Aircover Claims Platform: Facilitates the processing of claims for Aircover insurance products, offering protection to both hosts and guests.

A Typical Day:

• Design the future state of our technical systems by combining a strategic understanding of our highest level product goals with a deep understanding of our existing systems to inform the right technical and product tradeoffs for both short and long term
• Lead engineers—both inside and outside your immediate team; in building out these technical solutions
• Participate in the development of product and UX requirements by engaging early and often with designers, product managers and other stakeholders to help steer teams on the most efficient path towards overall goals
• Nurture a culture of technical quality from design, through code review, to production operations
• Mentor other engineers in developing their technical and collaboration skills
• Identify and propose solutions to problems coming in the way of technical and product engineering excellence
• Collaborate with internal teams across the tech community, Hosting, Guest and Mobile and data engineering.

Your Expertise:

• 9+ years of relevant software development industry experience in a fast-paced tech environment
• Strong proficiency in at least one major backend programming language (e.g., Java, Kotlin, Scala, Python) and experience with modern frontend frameworks (e.g., React, Angular, Vue.js)
• Proven track record of delivering end-to-end products in a collaborative environment, from ideation and planning to implementation and launch
• Experience with architectural patterns of large-scale web applications, including well-designed APIs, high-volume data pipelines, and efficient algorithms
• Demonstrated ability to make data-driven decisions, articulate technical trade-offs, and communicate effectively with cross-functional partners
• Passion for creating intuitive user experiences and a keen interest in data systems and analytics
• Good judgment in making tradeoffs to balance short-term business needs with long-term technical quality
• Strong understanding of how deep backend systems are expressed in the UX shown to customers
• End-to-end mentality that transcends team boundaries and helps find globally optimal solutions
• Excellent communication skills and the ability to work well within a team and with teams across the engineering organization
• Passionate about efficiency, availability, system quality and user experience
• Passionate about building AI-driven applications that deliver innovative and impactful solutions

Offices: Bangalore, India

The Difference You Will Make:

• Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.
• Drive day to day product analytics and build analytical solutions
• Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience.

A Typical Day:

• Owning the product analytics road map, prioritization & delivery of solutions in the Contact Center Product space.
• Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines.
• Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness
• Collaborate with engineering to define scale logging and ensure observability across Agentic and LLM workflows.
• Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimizations.
• Translate insights into strategic recommendations for senior leaders; shape product priorities through data.
• Hire, mentor and up level team capability in AI analytics, experiment best practices and storytelling.

Your Expertise:

• 12+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
• Strong expertise in Python, SQL, A/B testing platforms and best practices
• Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc
• Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy).
• Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices
• Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.
• Experience designing and building metrics, from conception to building prototypes with data pipelines
• Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plus
• Contact center domain and market place domain knowledge would be a plus

Offices: Bangalore, India

A Typical day:

Your contributions take a variety of shapes:

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
• Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
• Examples include: Anomaly detection models, ML models for continuous risk evaluation.

Your Expertise:

• 6 to 10 years of relevant industry experience in applied Machine Learning, including BE/B.tech or PhD in relevant fields
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
• Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
• Experience with the Trust and Risk domain is a plus.

Offices: Bangalore, India

As part of the Trust Engineering team, you will be in charge of designing large-scale systems to detect and mitigate fraud, abuse, and safety risks across our platform. You will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science, and operations teams to understand ever-evolving attack vectors. You’ll also work closely with other Trust engineers—whether focused on defense or platform—to build tools and frameworks that make our defenses more adaptive, efficient, and resilient.

Your contributions may take a variety of forms, including:

• Designing, implementing, and operating resilient and scalable distributed systems.
• Collaborating with cross-functional partners—including software engineers, product managers, data scientists, and operations teams—to understand business impact, define requirements, and drive engineering decisions.
• Building and evolving platform capabilities to address the ever-changing landscape of fraud, abuse, and safety risks across Airbnb.
• Partnering with teams across Trust, Payments, and Community Support to identify and implement system improvements that increase the reliability, scalability, and efficiency of our defenses.
• Contributing critical input to the Trust Engineering roadmap and long-term technical direction.
• Developing, productionizing, and operating machine learning models and pipelines at scale, for both batch and real-time use cases.
• Mentoring other engineers and helping them grow their technical and collaboration skills.
• Advocating for and contributing to improvements in Airbnb’s engineering processes and foundational systems.

Your Expertise

• 9+ years of industry engineering experience.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• Hands on experience leading project teams and setting technical direction.
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
• Experience with platform architecture patterns and best practices. Experience with building and leading infrastructure is a plus.
• Experience with the Trust and Risk domain is a plus.
• Experience with hands on machine learning model development is a plus.

Offices: Bangalore, India

A Typical Day:

As a Senior Software Engineer on the Payments Processing team, your mission is to design and build a payments gateway platform that is fast and easy to integrate with, reliable for money movements, smart to route our business cost-effectively, resilient to any external processor downtime in any market, and accurate for Financial reporting. We’re looking for engineers who are independent, thoughtful, creative, and passionate about building the best payment gateway platform.

• Critical to make technical decisions
• Provide technical guidance for engineers and teams
• Advise on architecture and propose solutions to payment problems that span multiple teams and organizations.
• Consult on the performance, scalability, architecture, reliability and engineering best practices of payment gateway systems.
• Lead a cross-team group of engineers and partner with product, data, finance, operations to push the boundaries of what payments gateway platform can support.

Your Expertise:

• 5-9+ years of industry experience
• Backend or Full-Stack experience in a work-setting or classroom-setting.
• Work experience, open-source code, or coursework in any of the following languages: C/C++, Java, C#, Python/Django, Ruby/Ruby on Rails
• Evidence of exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms).
• Understanding of data structures and problem solving approaches, and ability to articulate trade offs
• Passion for creating highly effective technology platform for our growing global workforce
• Experience with Agile development
• Be future looking; we might be focused on immediate regulations, but need to build for the long term
• Comfortable with tackling ambiguous problems and unblocking yourself
• Focus on building high quality products; every one of our flows affects the business bottom line
• Data driven in how you solve problems and validate you've solved them correctly
• Have a strong desire to mentor the careers and development of other engineers
• Possesses strong verbal and written communication skills.
• BS in Computer Science / MIS or equivalent work-related experience

Offices: Bangalore, India