Senior Backend Engineer

Job Description
PayPay India is looking for a Senior Backend engineer to work on our payment system to deliver the best payment experience for our customers.
Main Responsibilities
Design large scale systems with high complexity to support our high throughput applications.
Understand how to leverage infrastructure for solving such large scale problems.
Develop tools and contribute to open source wherever possible.
Adopt problem solving as a way of life – always go to root cause! Support the code you write in production.
[Extra requirements depending on the potential team it has been identified]
Tech Stack
We select the best combination of tech at times.
| Java, Kotlin, Scala
| Spring Boot, JUnit, Reselience4j, Feign
| MySQL/AuoraDB, DynamoDB, ELK, Kafka, Redis, TiDB
| Docker, Kubernetes, ArgoCD, AWS, GCP
| GitHub, IntelliJ, Gradle, Maven, npm/yarn, Flyway, Jenkins, snyk,
| Bigquery, Kibana, Spark
| PlantUML, draw.io, miro.com
| Slack, Zoom
Qualifications
6+ years of experience having excellent skills in Java & any other generalized programming language, such as Scala, Python, or Go.
Interest and ability to learn other coding languages as needed.
Experience with SQL and NoSQL databases, along with distributed cache.
Strong fundamentals in data structures, algorithms and object oriented programming.
In-depth understanding of concurrency and distributed computing.
Experience implementing platform components such as RESTful APIs, Pub/Sub Systems, and Database Clients.
Experience with microservices.
Experience designing high traffic systems.
Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development.
Business of English or Japanese
[Extra requirements depending on the potential team it has been identified]
Preferred Qualifications
Experience in working for system development in finance, payment, or similar industries.
Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills).
Experience with AWS services.
Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.
[Extra requirements depending on the potential team it has been identified]

Work arrangement
No