Staff Software Engineer Tax Experience jobs at Airbnb in India, Bengaluru

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

Include insight to the 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:

• We are looking for a self-motivated leader who is interested in working in a highly dynamic environment by collaborating with cross-functional and cross-geographical teams. As a Staff Engineer, you would be expected to bring in expertise of managing large scale, and platforms, and support Airbnb’s Tax Engineering and scale it to efficiently adapt to ever evolving regulatory needs. The systems, APIs, experiences, and tools that you develop will be used across guest and host surfaces around the world.
• As a Staff engineer, you’ll be responsible for establishing a technical vision and building alignment within engineering and cross-functional teams - all while delivering a solution that is flexible, always available, efficient, and scales with the needs of the business. Your own unique skill set, rich experiences and thought leadership will be key to success in this role.

A Typical Day:

• Lead the development and refinement of systems powering Tax.
• Partner with technical leaders inside and outside of Tax to design and build the next-generation Invoice system that is service-oriented, configurable, auditable and efficiently leverages existing Airbnb capabilities.
• Work closely with Product, Pricing, Payments, Operations and other cross-functional partners as part of a globally distributed team, to define and ship impactful features.
• Partner with other engineering teams in Airbnb to serve our users holistically.
• Lead and mentor engineers — both inside and outside your immediate team — in building solutions and developing skills.
• Advocate for and participate in efforts to advance Airbnb’s engineering processes and technical foundations. Drive systemic improvements by identifying patterns to streamline development, reduce toil and increase technical quality and operational excellence over time.

Your Expertise:

• 9+ years of experience in a hands-on software engineering role in backend / full-stack development.
• Bachelor’s and/or Master/PhD’s degree, preferably in CS, or equivalent experience
• Passionate about efficiency, availability, technical quality and system quality.
• Excellent communication and collaboration skills and the ability to work well within engineering organization and cross functions.
• Love collaborating via code reviews and architecture discussions, and are motivated to improve their teammates’ productivity
• Experience working with a microservice architecture at scale.
• Experience in Fintech, Tax, Invoicing is a bonus
• [Bonus] Experience working on a Product team or customer-centric software supporting a medium to large engineering organization.
• [Bonus] Show motivation for personal growth and learning new technologies to support the team’s needs

position is completely Remote- India

Offices: Bangalore, India

A Typical Day:

• Design, build, and maintain robust and efficient data pipelines that collect, process, and storedata from various sources, including user interactions, listing details, and external data feeds.
• Develop data models that enable the efficient analysis and manipulation of data formerchandising optimization. Ensure data quality, consistency, and accuracy.
• Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executorframework
• Collaborate with cross-functional teams, including Data Scientists, Product Managers, andSoftware Engineers, to define data requirements, and deliver data solutions that drivemerchandising and sales improvements.
• Contribute to the broader Data Engineering community at Airbnb to influence tooling andstandards to improve culture and productivity
• Improve code and data quality by leveraging and contributing to internal tools to automaticallydetect and mitigate issues

Your Expertise:

• 5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Excellent written and verbal communication skills

Offices: Bangalore, India

Senior Engineer, Payments Tech Operations

About Payments TechOps:

The Vision of Payments Techops is to empower Payments Engineering teams in delivering exceptional payment experiences to our Guests and Hosts through a foundation of Operational Excellence. TechOps shall achieve the same by

• Driving the ‘Customer Centric Payments Observability’ through the Flow level monitoring
• Driving ‘Customer Excellence’ by managing all customer service escalations (incl. potential) for the Payments Engineering teams
• Enhancing the ‘Engineering Productivity’ of the Payments Tech teams through proactive automations and tech-enabled processes

What you’ll do:

• Drive the Flow level observability strategy including instrumentation & operations to enhance the detection & mitigation capabilities
• Drive initiatives independently to fix root-causes identified from the repeat issues observed across monitoring platforms - challenge the status quo and follow through to completion
• Build proactive alerting and real-time monitoring tools to help identify issues early and in-collaboration with Product engineering teams, resolve the issues in a timely manner
• Develop observability standards/ framework for new product readiness to ensure service reliability in SOA and distributed systems
• Build Domain Expertise to achieve Scalability - by understanding the nuances of Payments - across processing, compliance and infra
• Drive large scale migration and adoption projects on Observability & Reliability by cross-collaborating with various Payments teams
• Collaborate with large set of stakeholders across engineering, infrastructure and operations teams to align and implement foundational & Operational programs
• Automate our alerts configuration across various observability tools (eg. Watchpoint, Kibana, Datadog etc.) that work across signals - metrics, logs and traces
• Bring ideas to life (i.e. production) to help make the lives of engineers better
• Advocate and implement reliable design patterns (circuit breakers, graceful degradation, end-point monitoring etc.)
• Partner with the broader Airbnb organization to learn from incidents through a blameless post mortem process
• Automate as much as humanly possible and always configure as code

About You:

• 8+ years of technical experience, with 5+ years of relevant industry experience in a fast paced tech environment
• Experience in building and implementing Observability/ SRE along with expertise in building availability/Reliability tools in a similar environment
• Experience in driving E2E SRE initiatives (L2/L3) and improving observability & reliability, preferably in the payments space
• You have strong working knowledge across observability tools (eg. DataDog, Open Telemetry etc.) & SRE Practices
• Experience in Application and Tool development (Java, .Net, Python) in Microservices environments. Previous experience in AI/ML will be a plus.
• Experience with initiatives across Auto scaling, Self-healing mechanism, Chaos Engineering, Performance optimization techniques will be a plus
• You have excellent communication skills and the ability to work well within a team and with teams across timezones
• You are a strong problem solver and have worked in a team that is on-call for production systems before
• Technical leadership: hands on experience leading project teams and setting technical direction and strategy
• You are passionate about efficiency, availability, technical quality and system quality

Offices: Bangalore, India