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Senior Software Engineer -Payments

Airbnb

Senior Software Engineer -Payments

Airbnb

Bangalore, India

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Equity

Employee Travel Credits

Equity

Required Skills

Python

Backend engineering

Platform engineering

Data engineering

Production systems

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:- The PaymentsAI/ML Foundation team builds the shared platforms, services, and guardrails that enable product and data teams across Airbnb Payments to deliver trustworthy, efficient, and scalable AI capabilities. We provide the infrastructure for training, evaluation, inference, and operations - covering model lifecycle, observability, governance, cost/latency optimization, and developer ergonomics - so teams in Payments can move quickly in AI innovation with confidence.

The Difference You Will Make:- As a Senior Software Engineer on Payments AI/ML Foundation, you will design and own core platform components that power AI across Airbnb Payments. You will partner with product, infra, data science, and operations to translate ambiguous requirements into robust systems with clear SLAs; build tooling and automation that makes AI development safer and faster; and raise the bar on reliability, performance, and governance for models and agents in production.

A Typical Day:

  • Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

  • 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 AI/ML models, drive engineering decisions, and quantify impact.

  • Hands-on productionize and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases.

  • Lead, mentor, challenge and grow enthusiastic, collaborative AI/ML culture within the organization

Your Expertise:

  • BE/B.tech, preferably in CS, or equivalent qualification.

  • 7+ years of industry experience in backend/platform engineering (or equivalent), including ownership of production systems.

  • Strong programming skills in Python, plus solid data engineering foundations.

  • Good to have experience with AI frameworks (Langraph, Strand etc), orchestration (Airflow/Kubeflow), and streaming/processing (Kafka/Spark/Ray).

  • Proven track record building observability for AI systems (metrics/logging/traces), with automated alerting, dashboards, and SLO management.

  • Experience designing model governance and safety guardrails (prompt/version control, red-teaming, policy checks, approvals).

  • Demonstrated ability to drive performance/cost optimizations (profiling, batching, caching, quantization, autoscaling) in high-traffic environments.

  • Practical familiarity with vector search/embedding pipelines (indexing strategies, consistency, reindexing, retention).

Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

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About Airbnb

Airbnb

An online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet.

5,001-10,000

Employees

San Francisco

Headquarters

$75B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

4.2

Compensation

4.0

Culture

4.1

Career

3.0

Management

4.0

78%

Recommend to a Friend

Pros

Flexibility and work-life balance

Good pay and compensation

Great leadership and bosses

Cons

Dealing with difficult guests

Guest-related damages and messes

Stressful situations with complaints

Salary Ranges

16 data points

L2

L3

L4

L5

L6

Senior/L5

L2 · Financial Analyst L2

0 reports

$211,250

total / year

Base

$84,500

Stock

$105,625

Bonus

$21,125

$147,875

$274,625

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 44%

Neutral 34%

Negative 22%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit