Job Description At PayPay, were constantly working on improving our systems and processes to support PayPay’s exponential growth. As an SRE at PayPay, we strive towards ensuring high availability and top-level performance so that our users can have flawless and reliable service exceeding expectations. Considering PayPay’s growth, we are looking for experienced SREs who can deliver insights into system bottlenecks and ensure system reliability and scalability, while increasing the number of services that our company offers. We are looking for individuals who can bring informed and unique viewpoints, enjoy collaborating with a cross-functional team and are actively pushing boundaries to develop reliable and scalable solutions and positive user experiences. Main Responsibilities Analyse current technologies used in the company and develop monitoring and notification tools to improve observability and visibility. Ensure system stability by pre-emptively verifying failure scenarios and implement solutions to reduce MTTR Develop solutions to improve system performance with a focus on high availability, scalability and resilience Integrate telemetry and alerting platforms to track and improve reliability of systems Implement industry best practices for system development, configuration management and system deployment Ensure seamless flow of information between teams by documenting knowledge gained Be up to date on modern technologies and trends to advocate for inclusion within products if they add value Participate in incident management including troubleshooting production issues, driving root cause analysis (RCA) and actively sharing lessons learned to improve system reliability and internal knowledge. Required Skills and Experiences Experience troubleshooting, tuning high performance microservices architectures running on Kubernetes and AWS in highly available production environments. 5+ years experience in software development in Python, Java, Go, etc with strong fundamentals in data structures, algorithms, problem solving and complexity analysis. During the SRE selection process, you will have a coding challenge. Curious and proactive in finding performance bottlenecks, scalability and resilience problem areas and addressing them. Experience with observability tools and gathering data. Database knowledge such as RDS, NoSQL, distributed TiDB, etc. Excellent communication skills, collaborative and getting things done attitude. Enjoy taking up a challenge and driving it to conclusion. Preferred Qualifications Container image management and optimization. Experience in large distributed system architecture and capacity planning. Understanding of IaC, automation tools, terraform, cloud formation, etc. Background in SRE/DevOps concepts and implementation. Experience in managing monitoring tools like CloudWatch, VictoriaMetrics, Prometheus and reporting with Snowflake and Sigma. In depth knowledge of web technologies such as CloudFront, Nginx, etc. Experience in designing, implementing or maintaining disaster recovery strategies and multi-region architecture to ensure high availability, resilience, and business continuity across critical systems. Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills). Remarks Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate. PayPay 5 senses Please refer PayPay 5 senses to learn what we value at work. Working Conditions Employment Status Full Time Office Location Gurugram (Wework) The development center requires you to work in the Gurugram office to establish the strong core team.
Required Skills and Experiences Experience troubleshooting, tuning high performance microservices architectures running on Kubernetes and AWS in highly available production environments. 5+ years experience in software development in Python, Java, Go, etc with strong fundamentals in data structures, algorithms, problem solving and complexity analysis. During the SRE selection process, you will have a coding challenge. Curious and proactive in finding performance bottlenecks, scalability and resilience problem areas and addressing them. Experience with observability tools and gathering data. Database knowledge such as RDS, NoSQL, distributed TiDB, etc. Excellent communication skills, collaborative and getting things done attitude. Enjoy taking up a challenge and driving it to conclusion. Preferred Qualifications Container image management and optimization. Experience in large distributed system architecture and capacity planning. Understanding of IaC, automation tools, terraform, cloud formation, etc. Background in SRE/DevOps concepts and implementation. Experience in managing monitoring tools like CloudWatch, VictoriaMetrics, Prometheus and reporting with Snowflake and Sigma. In depth knowledge of web technologies such as CloudFront, Nginx, etc. Experience in designing, implementing or maintaining disaster recovery strategies and multi-region architecture to ensure high availability, resilience, and business continuity across critical systems. Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills).
Role & responsibilities : Create and manage robust data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog for efficient data management and discovery. Construct automation, frameworks, and enhanced tools to streamline data engineering workflows. Collaborate across teams to facilitate smooth data flow and integration. Enforce best practices in observability, data governance, security, and regulatory compliance Preferred candidate profile : Minimum 5 years as a Data Engineer or similar role. Hands-on experience with Databricks, Delta Lake, Spark, and Scala. Proven ability to design, build, and operate Data Lakes or Data Warehouses. Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect). Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell). Strong command of at least one primary language (Scala, Python, etc.) and SQL. Experience with data catalog and metadata management (Unity Catalog, Lakeformation). Experience in Infrastructure as Code (IaC) using Terraform. Excellent problem-solving and debugging abilities for complex data challenges. Strong communication and collaboration skills. Capability to make informed decisions, learn quickly, and consider complex technical contexts.
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. 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 Preferred candidate profile : 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 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. Remarks Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate. PayPay 5 senses Please refer PayPay 5 senses to learn what we value at work.