Sr. Software Engineer

Job Description:

Overview: Rakuten, Inc. (TYO: 4755), is one of the world’s leading Internet service companies, providing a variety of consumer and business-focused services including e-commerce, travel, banking, securities, credit card, e-money, portal & media, online marketing and professional sports. Our mission is to contribute to society by creating value through innovation and entrepreneurship. Founded in 1997, Rakuten is headquartered in Tokyo, with over 10,000 employees worldwide. Rakuten is expanding globally and currently has operations throughout Asia, Western Europe, and the Americas. APS boasts a highly motivated, skilled, talented, and approachable team distributed across Tokyo, Singapore, India, and China. We are seeking a highly skilled and dynamic full-stack engineer with extensive technical expertise and proven team leadership experience to take ownership of technical responsibilities throughout the entire product development lifecycle. The ideal candidate will excel at solving diverse technical and business challenges while providing mentorship and guidance to other engineers on the team. This role provides an exciting opportunity to advance your tech career by contributing to the development of multiple products within Rakuten's extensive ecosystem and cutting-edge technology landscape.

Roles & Responsibilities:

• Project Execution
  • Gather and analyze requirements to ensure a clear understanding of project needs
  • Translate business requirements into detailed technical specifications
  • Design and implement scalable and efficient features
  • Perform unit testing, verification, and validation to ensure robust functionality
  • Conduct thorough code reviews to maintain high code quality and adherence to standards
  • Manage deployment and rollback operations across DEV, STG, and PROD environments
  • Monitor systems post-release, perform regular maintenance, and address any issues proactively
• Collaboration
  • Work closely with engineers, product managers, project managers, and cross-functional business teams to design and develop exceptional features
• Always Improve, Always Advance
  • Develop a deep understanding of the entire product and system to identify and recommend technical enhancements
  • Anticipate future business and product requirements, proactively suggesting system improvements to stay ahead of evolving needs
  • Stay ahead of the curve by exploring emerging technologies, evaluating their potential, and creating roadmaps to integrate them effectively
• Mentoring
  • Mentor junior developers, freshers, and interns, providing guidance and support to help them excel
  • Identify key areas for their growth and actively work towards fostering their technical development and career progression

Qualifications:

General:

• A minimum of 5+ years of proven, hands-on experience as a Software Engineer in software development, demonstrating strong analytical and problem-solving skills
• Extensive hands-on experience in designing and developing large-scale web applications using technologies such as Java, Spring, MariaDB, MongoDB, Kafka, and React.js
• Comprehensive, hands-on experience with Agile development methodologies and Scrum practices
• Proactive, self-driven, and highly motivated individual
• Excellent communication skills, capable of effectively collaborating with both technical and non-technical stakeholders
• A team player with a positive and approachable attitude
• Strong "get-things-done" mindset paired with a sense of ownership and accountability

Technical:

Must have:

• Java spring (boot+batch)
• Html, Css, Js
• MySQL/MariaDB
• NoSQL (MongoDB)
• Version Control - Git
• Jira or similar project and task management tool

Good To have:

• Big Data (Hadoop, Hive, Spark)
• React, Angular
• NoSQL (Couchbase, Cassandra, Redis)
• Big Data (Tez, Presto)
• Test Automation - Junit
• Code Quality - Sonar
• Streaming platform - Kafka, RabittMQ
• CI/CD - Jenkins
• BI Tool - MicroStrategy, Tableau
• The experience about enterprise system architecture design such as data pipeline design
• Domain knowledge of advertisement system architecture and KPIs