Gumi Inc. is an information technology company and digital entertainment publisher founded in 2007. We are headquartered in Tokyo, Japan and have presence in the United States, South Korea, the Philippines, China, Indonesia, and Taiwan. With over 800 employees worldwide, we’re committed to delivering innovative and exciting multi-platform, interactive entertainment experiences to our users.
Our products include mobile and PC, web, and social gaming titles such as Brave Frontier, Phantom of the Kill, and Final Fantasy: Brave Exvius, and we’ve collaborated with well-known gaming companies, such as Sega, Square Enix, Namco Bandai, and DeNA. We are recognized for developing high-quality gaming and applications content for our many users, and providing expanded platform and content strategy services for our partners.
At Gumi, we understand the importance of technology and develop cutting-edge solutions that offer robust functionality for our users. Our team of IT professionals is highly-skilled and experienced, and employ technologies such as Agile and DevOps to rapidly develop sophisticated and reliable applications. We provide back-end solutions using open source systems, such as Ruby on Rails and Python, and build powerful front-end solutions using HTML5, JavaScript, and CSS3.
We focus on creating engaging gaming experiences and are continuously innovating and implementing new technologies to meet the constantly-changing needs of our users. We strive to provide the highest quality gaming solutions, leveraging the latest advancements in the IT and gaming industry. Our dedication to technology excellence sets us apart and contributes to our ongoing success.
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5. Cloud Engineer
Average Work Hours (weekly unless noted): 40 hours/week
Average Salary (yearly in dollars unless noted): $90,000 - $105,000
Description: Design, implement and manage cloud architectures like AWS, AZURE, etc. Responsible for deploying, configuring, and scaling up and down system services by monitoring performance. Proactively manage changes while ensuring security and compliance requirements are met.
Qualifications / Requirements: Bachelor’s degree in Computer Science or Information Technology; Certification in cloud computing(AWS, AZURE, etc); In-depth knowledge of cloud computing architectures, applications, and services; Knowledge of key IaaS and PaaS concepts, enterprise applications, and network security; Should possess database features for diverse operational environments; Hands-on experience in scripting with Perl, Ruby, Python, or JavaScript.
Average Work Hours (weekly unless noted): 40 hours/week
Average Salary (yearly in dollars unless noted): $95,000 - $115,000
Description: Responsible for building, testing, releasing and scaling continuous deployment pipelines in support of gumi’s mission. Automate processes, maintain and enhance existing pipelines, build new pipelines, optimize performance, and troubleshoot errors.
Qualifications / Requirements: Bachelor's degree in computer science or related field, with 5+ years of experience in DevOps engineering. Must have strong experience in Linux, Windows and Mac OS X systems. Experienced in setting up and running CI/CD pipelines, scripting languages like Python, Bash and JavaScript. Advanced knowledge of automation and systems engineering principles, cloud technologies like AWS, GCP, and Linux server administration.
Average Work Hours (weekly unless noted): 40 hours/week
Average Salary (yearly in dollars unless noted): $100,000 - $120,000
Description: Responsibilities include designing, developing, and testing software applications in support of gumi's mission. Needs to be well-versed in multiple programming languages, software design patterns, data structures, OOP, and agile development methodology. Expert in unit, integration, and system testing.
Qualifications / Requirements: Bachelor's degree in computer science or related field, must have 4+ years of software engineering experience. Must be experienced in a variety of programming languages such as Java, Swift, Python and C++. Solid knowledge of development tools, databases, frameworks, distributed architecture, and operating systems required. Should be proficient in Object Oriented Design, Design Patterns, test automation, debugging and problem-solving.
Average Work Hours (weekly unless noted): 40 hours/week
Average Salary (yearly in dollars unless noted): $90,000 - $105,000
Description: Develop, implement and test AI applications related to gumi’s projects. Responsible for writing algorithms, understanding and interpreting data, looking for correlations and anomalies, running experiments and optimizing results. Work under the supervision of a Senior AI engineer.
Qualifications / Requirements: Bachelor’s or Master’s degree in Computer Science, Mathematics, or relevant field; Excellent understanding of AI fundamentals and ML models; Experienced in scripting languages such as Python, Ruby, or Go; Strong expertise in NLP, Expert Systems, Machine Learning Algorithms; Understanding of data engineering concepts and techniques; Proficiency with big data technologies such as Hadoop, Cassandra, or Spark.
Average Work Hours (weekly unless noted): 40 hours/week
Average Salary (yearly in dollars unless noted): $90,000 - $100,000
Description: Develop, debug and optimize mobile applications for iOS and Android platforms. Refine, implement, profile and optimize application-layer objects. Participate in design reviews, brainstorming, and software architecture sessions.
Qualifications / Requirements: Strong background in both Android and iOS mobile application development; Experienced with mobile platform SDK’s and libraries; Proficient with Objective-C, Swift and Java programming; Knowledge of Rx Programming; Experienced in writing unit and UI tests; Knowledge of version control systems (GIT); Proficient understanding of code signing, automatic deployment and related system tools.
Average Work Hours (weekly unless noted): 40 hours/week
Average Salary (yearly in dollars unless noted): $90,000 - $100,000
Description: Responsible for developing models and algorithms to analyze large amounts of data. Engineering approaches, deep understanding of machine learning techniques, and implementing prototypes. Reviewing current processes and executing experiments, data analysis and data mining.
Qualifications / Requirements: Masters Degree in Statistics, Mathematics, Computer Science or a related field; At least 3+ years of working experience in data science, machine learning, or related fields; Proficiency in coding in Python and in using tools such as Pandas, Jupyter; Understanding of popular data science and machine learning algorithms and libraries such as Scikit-Learn, TensorFlow, Keras; Exposure to other programming and/or statistical platforms (R, SAS, etc.); Ability to interpret data and present to key stakeholders.
I have been working with the company gumi for the past four years now and I am incredibly pleased with the company's values, culture and all-around atmosphere. The programming team always goes the extra mile and every single idea we come up with gets the full attention, resources and support from management. It's an incredibly welcoming working environment and I've had the opportunity to collaborate with some of the most talented and brilliant minds in the field.
Emily A..
Review Rating:
5/5
5
Gumi has been an incredible place to develop my design skills. The design initiatives are very thought through and get great reviews from clients. Aside from the professional development this company affords, the team atmosphere is full of cooperation and enthusiasm. The HR team is always happy to listen to feedback and address any issues quickly. I feel cared for and supported in my professional journey.
John S..
Review Rating:
5/5
5
As an IT employee at Gumi I have had the privilege of working on some very cutting edge projects. There is a real focus on continuously pushing boundaries and providing the IT team with the latest technology and support to keep up with the ever-changing world of IT. What sets gumi apart, in my opinion, is the emphasis on collaboration between departments to come up with innovative solutions.
Karen H..
Review Rating:
5/5
5
Working at gumi has been an amazing experience and a great learning opportunity. I can confidently say that I have grown personally and professionally since I've been with the company. Management is able to give all employees the space they need to strive and do their best, while also guiding and helping them along the way. I highly recommend joining the Gumi team!
James P..
Review Rating:
5/5
5
It's been a great pleasure to join Gumi team. Everyone here is incredibly passionate about their work, and even more passionate about trying to continually improve the organizational culture. There are plenty of opportunities to learn, network and advance your career. Gumi has a great mission, and I'm proud to be part of this team.
Frequently Asked Questions
Are there any career opportunities available at gumi?
Yes, gumi offers a wide range of full-time and part-time job openings.
What qualifications are needed for a job at gumi?
Depending on the role, qualifications needed for a job at gumi can range from a bachelor’s degree to specific experience in a given field.
What kind of jobs does gumi offer?
gumi offers various jobs including but not limited to software development, QA, media content production, customer service, and system engineering.
What benefits are included with a job at gumi?
Benefits at gumi include health care, vacation days, and free beverages.
Are remote jobs available at gumi?
Yes, gumi has many remote job opportunities available.
Locations: Tokyo, Singapore, Jakarta, Hong Kong, Shanghai, Beijing, Taipei, Bangkok, Manila, Kuala Lumpur, Ho Chi Minh City, Seoul
Career Paths: Software Engineer, Data Scientist, Mobile Developer, Quality Assurance Analyst, Technical Artist, Game Designer, Game Programmer, System Administrator, Network Engineer, Technical Support Engineer.
I have been working with the company gumi for the past four years now and I am incredibly pleased with the company's values, culture and all-around atmosphere. The programming team always goes the extra mile and every single idea we come up with gets the full attention, resources and support from management. It's an incredibly welcoming working environment and I've had the opportunity to collaborate with some of the most talented and brilliant minds in the field.
