דרושים Senior Software Engineer Frontend – Csp ב-Airbnb ב-India, Karnataka, Bengaluru

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

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

Responsibilities:

• This role will partner with key stakeholders in HR - Total Rewards, Recruiting, Talent Management, HR Business Partners, HR Operations, and partners in IT, as we transform the way Airbnb’s global workforce is managed and the technology that enables it
• Proactively recommend changes and solutions to address business challenges, and implement these solutions with partnership from the accountable stakeholders
• Work with business owners to solicit requirements and create documentation for enhancements, projects and initiatives
• Collaborate with business partners to document HR Systems processes flows & requirements (e.g. Compensation, Benefits, Time Off) in preparation for periodic business system evaluations, and lead RFP processes including coordination with vendors
• Support and configure Workday HCM with subject matter expertise.
• Complete testing to ensure enhancements and projects meet business requirements and are free of defects; create test plans and test cases, perform system and end-to-end testing
• Configure, audit, and troubleshoot Workday. Proactively address issues in order to minimize disruptions to Airbnb’s use of Workday.
• Demonstrate creative ways to deliver solutions that may suggest People & Process changes for our business, without relying solely on Systems solutions to solve business problems.
• Support operational tasks including, but not limited to: Triage ticket intake for the HR Systems team, manage operational support vendor(s) in resolving open items, participate in rotational ownership of leading Workday updates.
• Drive accountability with business sponsors of specific projects for executing effective change management, and training on new functionality to ensure highest levels of adoption.
• Partner with technical counterparts on identifying suggested/required integrations that support automation of data flows
• Educate HR subject matter experts on Workday development methodology (iterative and agile)

Your Expertise:

• 8+ years of experience in an HRIS Business Systems Analyst role
• 5+ years of experience supporting Workday HCM with comprehensive knowledge of Workday compensation setup for a global workforce
• Solid understanding a broad range of HR disciplines and corresponding system functionality
• Experience with reporting tools and security configuration
• Must be proactive, self-directed, an expert multi-tasker and have good project management skills
• Must be a strong collaborator with excellent written and verbal communication skills
• Proven ability to deal with sensitive and confidential data
• Experience in HCM and ERP systems project/implementation work
• Ability to work under tight deadlines managing multiple tasks
• Proven demonstration of problem solving/ analysis skills to solve various stakeholder issues or process changes
• Demonstrated ability to operate independently with direction from senior team members
• Ability to gain knowledge of client policies and procedures and ability to provide advice and counsel
• Ability to identify process improvement areas
• Ability to refine processing procedures based on "big picture" and best practice understanding
• Understanding of other in scope related service areas desired (e.g. compensation, benefits, payroll)
• Ability to navigate and learn multiple systems
• Demonstrated ability to write client business requirement documents

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