Customer Engineer, Digital Natives, Google Cloud (English, Korean)

Google
Full_time•Seoul, South Korea

📍 Job Overview

  • Job Title: Customer Engineer, Digital Natives, Google Cloud (English, Korean)
  • Company: Google
  • Location: Seoul, South Korea
  • Job Type: On-site
  • Category: Customer Engineer, Technical Sales
  • Date Posted: July 30, 2025
  • Experience Level: 5-10 years
  • Remote Status: On-site

🚀 Role Summary

  • 📝 Enhancement Note: This role requires a strong background in cloud native architecture and big data technologies to serve as a technical expert for Google Cloud customers in the digital natives sector. The ideal candidate will have a proven track record of engaging with technical stakeholders and executive leaders, as well as fluency in both English and Korean.

💻 Primary Responsibilities

  • 📝 Enhancement Note: As a Customer Engineer, you will be expected to provide technical leadership and support to customers, helping them understand the power of Google Cloud and develop cloud solutions tailored to their business needs.

  • 📝 Enhancement Note: This role involves working closely with technical sales teams to identify business opportunities, qualify leads, and resolve technical blockers. You will also be responsible for demonstrating and prototyping Google Cloud product integrations in customer environments and recommending integration strategies.

  • 📝 Enhancement Note: A significant part of this role involves leading prospecting and acquisition efforts to secure new logos and establish yourself as a trusted advisor to customers on their technology and business decisions.

🎓 Skills & Qualifications

Education: A Bachelor's degree or equivalent practical experience in a relevant field, such as Computer Science, Engineering, or a related discipline.

Experience: A minimum of 6 years of experience in a customer-facing or support role with a focus on cloud native architecture and big data technologies.

Required Skills:

  • Proficiency in cloud native architecture and big data technologies, including analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, and performance optimization.
  • Strong communication skills, with the ability to engage with and present to technical stakeholders and executive leaders in both English and Korean.
  • Experience working with enterprise-level projects on public cloud platforms.
  • Ability to develop and execute strategies and action plans, with a sense of responsibility for their implementation.

Preferred Skills:

  • Experience with performance optimization and operational management in a big data environment.
  • Familiarity with Google Cloud products and services.
  • Knowledge of industry trends and emerging technologies in the cloud and big data spaces.

📊 Web Portfolio & Project Requirements

📝 Enhancement Note: While a portfolio is not explicitly required for this role, demonstrating a strong understanding of cloud native architecture and big data technologies through relevant projects and case studies can significantly enhance your application.

Portfolio Essentials:

  • Examples of successful cloud migrations or implementations, highlighting your ability to optimize performance and scalability.
  • Case studies demonstrating your expertise in big data technologies, such as data processing, data transformation, and data governance.
  • Projects showcasing your ability to engage with technical stakeholders and executive leaders, presenting complex technical concepts in an accessible manner.

Technical Documentation:

  • Detailed documentation of your cloud architecture and data management strategies, demonstrating your ability to plan and execute complex projects.
  • Code samples or snippets that illustrate your proficiency in SQL, NoSQL, and other relevant technologies.
  • Test results and performance metrics that demonstrate the success of your cloud solutions.

💵 Compensation & Benefits

Salary Range: According to Glassdoor, the average salary for a Customer Engineer at Google in Seoul is approximately ₩80,000,000 - ₩120,000,000 per year. However, this range can vary depending on factors such as experience, skills, and the specific needs of the role.

Benefits: Google offers a comprehensive benefits package, including:

  • Health, dental, and vision insurance
  • Retirement savings plans
  • Generous time off and parental leave policies
  • Employee discounts on Google products and services
  • On-site amenities, such as fitness centers, cafes, and shuttle services

Working Hours: This role follows a standard workweek of 40 hours, with flexibility for project deadlines and maintenance windows as needed.

📝 Enhancement Note: Salary and benefits information is based on market research and may vary depending on the specific needs of the role and the candidate's qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry: Google is a multinational technology company that specializes in internet-related services and products, including online advertising, search engines, cloud computing, software, and hardware. The company's culture is known for its emphasis on innovation, collaboration, and employee growth.

Company Size: Google is a large corporation with over 135,000 employees worldwide. This size allows for ample opportunities for career growth and development within the company.

Founded: Google was founded in 1998 by Larry Page and Sergey Brin, and it has since grown to become one of the most influential technology companies in the world.

Team Structure:

  • The Customer Engineering team works closely with technical sales teams to provide technical leadership and support to customers.
  • The team is responsible for identifying business opportunities, qualifying leads, and resolving technical blockers.
  • The team structure is designed to foster collaboration and knowledge-sharing among team members.

Development Methodology:

  • Google follows Agile development methodologies, with a focus on iterative development, continuous integration, and collaboration.
  • The company emphasizes a culture of experimentation and innovation, encouraging employees to take risks and learn from failure.
  • Google's development processes are designed to ensure the quality, reliability, and security of its products and services.

Company Website: www.google.com

📝 Enhancement Note: Google's company culture is known for its emphasis on innovation, collaboration, and employee growth. The company's large size and global presence offer ample opportunities for career development and advancement.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a mid- to senior-level position, requiring a strong background in cloud native architecture and big data technologies. The ideal candidate will have a proven track record of engaging with technical stakeholders and executive leaders, as well as fluency in both English and Korean.

Reporting Structure: The Customer Engineer reports directly to the Customer Engineering Manager and works closely with technical sales teams to provide technical leadership and support to customers.

Technical Impact: In this role, you will have the opportunity to work with some of the world's most innovative companies, helping them to develop and implement cloud solutions tailored to their business needs. Your technical expertise and communication skills will be essential in driving customer success and adoption of Google Cloud products and services.

Growth Opportunities:

  • 📝 Enhancement Note: As a large and growing company, Google offers numerous opportunities for career growth and development. Some potential growth paths for this role include:

    • Technical Specialist: Deepening your expertise in a specific area of cloud native architecture or big data technologies.
    • Team Lead/Manager: Taking on a leadership role within the Customer Engineering team, overseeing the work of other team members and driving team success.
    • Product Manager: Transitioning into a product management role, where you would be responsible for defining the product strategy and roadmap for Google Cloud products and services.

📝 Enhancement Note: Google's large size and global presence offer numerous opportunities for career growth and development. The company's emphasis on innovation and experimentation encourages employees to take on new challenges and expand their skills and knowledge.

🌐 Work Environment

Office Type: Google's offices are designed to be collaborative, innovative, and comfortable workspaces. The company offers a range of on-site amenities, such as fitness centers, cafes, and shuttle services, to support the well-being and productivity of its employees.

Office Location(s): Google has offices in many major cities around the world, including Seoul, South Korea. The specific office location for this role is not specified in the job listing.

Workspace Context:

  • 📝 Enhancement Note: As a Customer Engineer, you will work closely with technical sales teams to provide technical leadership and support to customers. Your workspace will be designed to facilitate collaboration and knowledge-sharing with your team members and other Google employees.

  • 📝 Enhancement Note: Google's offices are equipped with state-of-the-art technology and tools to support the work of its employees. You can expect to have access to the latest hardware, software, and collaboration tools to help you succeed in your role.

Work Schedule: This role follows a standard workweek of 40 hours, with flexibility for project deadlines and maintenance windows as needed. Google offers a range of flexible work arrangements, including part-time work, job sharing, and remote work, depending on the specific needs of the role and the employee.

📝 Enhancement Note: Google's offices are designed to be collaborative, innovative, and comfortable workspaces, with a range of on-site amenities to support the well-being and productivity of its employees. The company offers a range of flexible work arrangements to accommodate the needs of its employees.

📄 Application & Technical Interview Process

Interview Process:

  1. 📝 Enhancement Note: Online assessment: A short online assessment to evaluate your understanding of cloud native architecture and big data technologies.
  2. 📝 Enhancement Note: Phone screen: A phone call with a member of the hiring team to discuss your background, experience, and fit for the role.
  3. 📝 Enhancement Note: On-site interview: An on-site interview with members of the Customer Engineering team, technical sales teams, and other stakeholders. This interview will focus on your technical expertise, communication skills, and cultural fit with the team.
  4. 📝 Enhancement Note: Final decision: A final decision will be made based on the feedback from the interview process, and a job offer will be extended to the successful candidate.

Portfolio Review Tips:

  • 📝 Enhancement Note: While a portfolio is not explicitly required for this role, demonstrating a strong understanding of cloud native architecture and big data technologies through relevant projects and case studies can significantly enhance your application. Be sure to highlight your ability to engage with technical stakeholders and executive leaders, presenting complex technical concepts in an accessible manner.

Technical Challenge Preparation:

  • 📝 Enhancement Note: Familiarize yourself with Google Cloud products and services, as well as industry trends and emerging technologies in the cloud and big data spaces. Be prepared to discuss your experience with cloud native architecture and big data technologies, as well as your ability to engage with technical stakeholders and executive leaders.

ATS Keywords: [See the comprehensive list of ATS keywords below]

📝 Enhancement Note: The interview process for this role is designed to evaluate your technical expertise, communication skills, and cultural fit with the team. Be prepared to discuss your experience with cloud native architecture and big data technologies, as well as your ability to engage with technical stakeholders and executive leaders.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

  • Google Cloud Platform (GCP)
  • Amazon Web Services (AWS)
  • Microsoft Azure

Big Data Technologies:

  • Apache Hadoop
  • Apache Spark
  • Apache Kafka
  • Apache Cassandra
  • Apache Hive
  • Apache Pig
  • Apache Flink
  • Apache Beam
  • Apache Airflow
  • Apache NiFi
  • Apache Samza
  • Apache Storm
  • Apache ZooKeeper
  • HBase
  • BigQuery
  • Cloud Dataproc
  • Cloud Dataflow
  • Cloud Pub/Sub
  • Cloud Spanner
  • Cloud Storage
  • Cloud Functions
  • Cloud Composer
  • Cloud Data Fusion
  • Cloud Dataproc
  • Cloud Dataflow
  • Cloud Pub/Sub
  • Cloud Spanner
  • Cloud Storage
  • Cloud Functions
  • Cloud Composer
  • Cloud Data Fusion

Programming Languages:

  • Java
  • Python
  • Scala
  • C++
  • Go
  • R
  • SQL

Databases:

  • MySQL
  • PostgreSQL
  • MongoDB
  • Cassandra
  • Redis
  • Couchbase
  • Amazon DynamoDB
  • Microsoft Azure Cosmos DB
  • Google Cloud Spanner
  • Google Cloud Firestore
  • Google Cloud Bigtable

Infrastructure Tools:

  • Terraform
  • Ansible
  • Puppet
  • Chef
  • Docker
  • Kubernetes
  • Helm
  • Prometheus
  • Grafana
  • ELK Stack (Elasticsearch, Logstash, Kibana)
  • New Relic
  • Datadog
  • AppDynamics

📝 Enhancement Note: This role requires a strong background in cloud native architecture and big data technologies. Familiarize yourself with the relevant technologies and tools listed above, and be prepared to discuss your experience with them in the interview process.

👥 Team Culture & Values

Google's Core Values:

  • 📝 Enhancement Note: Google's core values are reflected in its company culture and guide the way its employees work and interact with each other. These values include:

    • User-centric: Google's products and services are designed with the user in mind, and the company strives to create intuitive, accessible, and innovative solutions that meet the needs of its customers.
    • Focus on impact: Google emphasizes the importance of focusing on the impact of its products and services, rather than just the quantity of work produced. The company encourages its employees to take on challenging projects and make a meaningful difference in the world.
    • Think big: Google encourages its employees to think big and take on ambitious projects that push the boundaries of what is possible. The company's culture of innovation and experimentation fosters a mindset of continuous learning and growth.
    • Work together: Google values collaboration and teamwork, and its employees are encouraged to work together to achieve common goals. The company's culture of open communication and knowledge-sharing fosters a sense of community and belonging among its employees.
    • Do the right thing: Google expects its employees to act with integrity and honesty, and to do the right thing even when no one is watching. The company's commitment to ethical business practices and social responsibility is reflected in its products, services, and workplace culture.

Google's Engineering Principles:

  • 📝 Enhancement Note: Google's engineering principles guide the way its engineers approach their work and make decisions about the products and services they build. These principles include:

    • Focus on the user: Google's engineering teams prioritize the needs and preferences of their users, and strive to create intuitive, accessible, and innovative solutions that meet those needs.
    • Think big: Google encourages its engineers to take on ambitious projects and push the boundaries of what is possible. The company's culture of innovation and experimentation fosters a mindset of continuous learning and growth.
    • Be data-driven: Google's engineering teams use data to inform their decisions and measure the impact of their work. The company's commitment to data-driven decision-making ensures that its products and services are optimized for performance, scalability, and user satisfaction.
    • Focus on impact: Google's engineering teams prioritize the impact of their work, rather than just the quantity of work produced. The company encourages its engineers to take on challenging projects and make a meaningful difference in the world.
    • Be reliable: Google's engineering teams strive to build reliable, scalable, and resilient systems that can handle the demands of a global user base. The company's commitment to reliability ensures that its products and services are available, performant, and secure.
    • Be responsible: Google's engineering teams take responsibility for the products and services they build, and strive to create positive impact in the world. The company's commitment to ethical business practices and social responsibility is reflected in its products, services, and workplace culture.

Google's Customer Engineering Team Values:

  • 📝 Enhancement Note: The Customer Engineering team at Google shares the company's core values and engineering principles, as well as its own set of values that guide the way its members work and interact with each other. These values include:

    • Customer-centric: The Customer Engineering team prioritizes the needs and preferences of its customers, and strives to create solutions that meet those needs. The team works closely with customers to understand their business and technical requirements, and to develop and implement cloud solutions tailored to their needs.
    • Technical excellence: The Customer Engineering team is committed to maintaining a high level of technical expertise and knowledge in the areas of cloud native architecture and big data technologies. The team's members are expected to stay up-to-date with industry trends and emerging technologies, and to share their knowledge and expertise with their colleagues and customers.
    • Collaboration: The Customer Engineering team values collaboration and teamwork, and its members are encouraged to work together to achieve common goals. The team's culture of open communication and knowledge-sharing fosters a sense of community and belonging among its members.
    • Innovation: The Customer Engineering team encourages its members to take on challenging projects and push the boundaries of what is possible. The team's culture of innovation and experimentation fosters a mindset of continuous learning and growth.
    • Integrity: The Customer Engineering team expects its members to act with integrity and honesty, and to do the right thing even when no one is watching. The team's commitment to ethical business practices and social responsibility is reflected in its interactions with customers and colleagues.

📝 Enhancement Note: Google's company culture is characterized by its commitment to user-centric design, innovation, collaboration, and ethical business practices. The company's core values and engineering principles guide the way its employees work and interact with each other, and are reflected in its products, services, and workplace culture.

⚡ Challenges & Growth Opportunities

Technical Challenges:

  • 📝 Enhancement Note: As a Customer Engineer, you will face a range of technical challenges in your work with customers. Some of the key technical challenges you may encounter include:

    • Cloud migration: Helping customers migrate their on-premises workloads to the cloud, while optimizing performance, scalability, and cost-efficiency.
    • Data management: Designing and implementing data management strategies that ensure the security, privacy, and integrity of customer data.
    • Big data processing: Developing and implementing big data processing pipelines that can handle large volumes of data and deliver insights in real-time.
    • Machine learning: Integrating machine learning models into customer applications and workflows to improve performance, accuracy, and user experience.
    • Infrastructure as code: Automating infrastructure provisioning and management using tools such as Terraform, Ansible, and Puppet.
    • Containerization: Packaging and deploying customer applications using containers, such as Docker and Kubernetes.

Learning & Development Opportunities:

  • 📝 Enhancement Note: As a large and growing company, Google offers numerous opportunities for career growth and development. Some of the key learning and development opportunities you may have as a Customer Engineer include:

    • Technical training: Google provides extensive technical training and certification programs to help its employees stay up-to-date with the latest technologies and best practices.
    • Mentorship: Google's mentorship program pairs employees with experienced mentors who can provide guidance and support as they develop their careers.
    • Conferences and events: Google encourages its employees to attend industry conferences and events to learn from experts and network with their peers.
    • Job rotation: Google offers job rotation programs that allow employees to gain experience in different roles and teams within the company.
    • Leadership development: Google provides leadership development programs that help employees build the skills and knowledge they need to take on leadership roles within the company.

📝 Enhancement Note: As a Customer Engineer at Google, you will have the opportunity to work with some of the world's most innovative companies, helping them to develop and implement cloud solutions tailored to their business needs. You will face a range of technical challenges in your work, and will have access to numerous learning and development opportunities to help you grow and develop your career.

💡 Interview Preparation

Technical Questions:

  • 📝 Enhancement Note: In the technical interview for this role, you can expect to be asked questions that assess your understanding of cloud native architecture and big data technologies. Some examples of technical questions you may be asked include:

    • Cloud migration: Can you describe the process of migrating an on-premises workload to the cloud, and how you would optimize performance, scalability, and cost-efficiency?
    • Data management: How would you design and implement a data management strategy that ensures the security, privacy, and integrity of customer data?
    • Big data processing: Can you describe the process of developing and implementing a big data processing pipeline that can handle large volumes of data and deliver insights in real-time?
    • Machine learning: How would you integrate a machine learning model into a customer application or workflow to improve performance, accuracy, and user experience?
    • Infrastructure as code: Can you describe the process of automating infrastructure provisioning and management using tools such as Terraform, Ansible, and Puppet?
    • Containerization: How would you package and deploy a customer application using containers, such as Docker and Kubernetes?

Company & Culture Questions:

  • 📝 Enhancement Note: In the company and culture interview for this role, you can expect to be asked questions that assess your fit with Google's company culture and values. Some examples of company and culture questions you may be asked include:

    • User-centric: How do you prioritize the needs and preferences of users in your work, and how do you ensure that your solutions meet those needs?
    • Focus on impact: Can you describe a project or initiative you have worked on that had a significant impact on a customer or organization, and how you measured that impact?
    • Think big: What is the most ambitious project you have worked on, and how did you push the boundaries of what was possible?
    • Work together: How do you collaborate with colleagues and stakeholders to achieve common goals, and how do you foster a culture of open communication and knowledge-sharing?
    • Do the right thing: Can you describe a situation where you had to make a difficult decision, and how you ensured that you acted with integrity and honesty?

Portfolio Presentation Strategy:

  • 📝 Enhancement Note: While a portfolio is not explicitly required for this role, demonstrating a strong understanding of cloud native architecture and big data technologies through relevant projects and case studies can significantly enhance your application. When presenting your portfolio to Google, be sure to:

    • Highlight your technical expertise: Showcase your knowledge and experience with cloud native architecture and big data technologies, and be prepared to discuss the technical details of your projects.
    • Demonstrate your ability to engage with technical stakeholders: Present your projects in a clear and concise manner, using simple and accessible language to explain complex technical concepts.
    • Showcase your problem-solving skills: Describe the challenges you faced in your projects, and how you overcame them to deliver successful solutions.
    • Demonstrate your understanding of Google's values: Align your projects with Google's core values, such as user-centric design, innovation, collaboration, and ethical business practices.

📝 Enhancement Note: The interview process for this role is designed to evaluate your technical expertise, communication skills, and cultural fit with the team. Be prepared to discuss your experience with cloud native architecture and big data technologies, as well as your ability to engage with technical stakeholders and executive leaders.

📌 Application Steps

To apply for this Customer Engineer, Digital Natives, Google Cloud (English, Korean) position:

  1. 📝 Enhancement Note: Submit your application through the application link provided in the job listing.
  2. 📝 Enhancement Note: Customize your resume and portfolio to highlight your relevant experience and skills in cloud native architecture and big data technologies.
  3. 📝 Enhancement Note: Prepare for the technical interview by reviewing the key technologies and tools listed in the Technology Stack & Web Infrastructure section, and practicing your problem-solving and communication skills.
  4. 📝 Enhancement Note: Research Google's company culture and values, and be prepared to discuss how your experience and skills align with the company's mission and goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

ATS Keywords:

  • Programming Languages:

    • Java
    • Python
    • Scala
    • C++
    • Go
    • R
    • SQL

  • Cloud Platforms:

    • Google Cloud Platform (GCP)
    • Amazon Web Services (AWS)
    • Microsoft Azure

  • Big Data Technologies:

    • Apache Hadoop
    • Apache Spark
    • Apache Kafka
    • Apache Cassandra
    • Apache Hive
    • Apache Pig
    • Apache Flink
    • Apache Beam
    • Apache Airflow
    • Apache NiFi
    • Apache Samza
    • Apache Storm
    • Apache ZooKeeper
    • HBase
    • BigQuery
    • Cloud Dataproc
    • Cloud Dataflow
    • Cloud Pub/Sub
    • Cloud Spanner
    • Cloud Storage
    • Cloud Functions
    • Cloud Composer
    • Cloud Data Fusion

  • Databases:

    • MySQL
    • PostgreSQL
    • MongoDB
    • Cassandra
    • Redis
    • Couchbase
    • Amazon DynamoDB
    • Microsoft Azure Cosmos DB
    • Google Cloud Spanner
    • Google Cloud Firestore
    • Google Cloud Bigtable

  • Infrastructure Tools:

    • Terraform
    • Ansible
    • Puppet
    • Chef
    • Docker
    • Kubernetes
    • Helm
    • Prometheus
    • Grafana
    • ELK Stack (Elasticsearch, Logstash, Kibana)
    • New Relic
    • Datadog
    • AppDynamics

  • Web Development:

    • HTML
    • CSS
    • JavaScript
    • React
    • Angular
    • Vue.js
    • Node.js
    • Express
    • Webpack
    • Babel

  • Server Administration:

    • Linux
    • Windows
    • macOS
    • Bash
    • PowerShell
    • System Administration
    • Network Administration
    • Server Configuration
    • Server Deployment
    • Server Monitoring

  • DevOps:

    • Continuous Integration (CI)
    • Continuous Deployment (CD)
    • Infrastructure as Code (IaC)
    • Configuration Management
    • Version Control
    • Git
    • GitHub
    • GitLab
    • Bitbucket
    • Jenkins
    • CircleCI
    • Travis CI
    • GitHub Actions

  • Soft Skills:

    • Communication
    • Collaboration
    • Problem-solving
    • Leadership
    • Mentoring
    • Coaching
    • Project Management
    • Stakeholder Management
    • Change Management
    • Process Improvement
    • Agile Methodologies
    • Scrum
    • Kanban
    • Lean Six Sigma
    • Project Management Professional (PMP)
    • Certified ScrumMaster (CSM)
    • Certified Scrum Product Owner (CSPO)

  • Industry Terms:

    • Cloud Native Architecture
    • Big Data
    • Data Warehousing
    • Data Processing
    • Data Transformation
    • Data Governance
    • Data Migration
    • ETL
    • ELT
    • Performance Optimization
    • Scalability
    • Resilience
    • High Availability
    • Disaster Recovery
    • Business Continuity
    • IT Service Management (ITSM)
    • Information Technology Infrastructure Library (ITIL)
    • IT Governance
    • Compliance
    • Security
    • Privacy
    • Data Protection
    • Data Privacy
    • General Data Protection Regulation (GDPR)
    • Health Insurance Portability and Accountability Act (HIPAA)
    • Sarbanes-Oxley Act (SOX)
    • National Institute of Standards and Technology (NIST)
    • Center for Internet Security (CIS)
    • Cloud Security Alliance (CSA)
    • Cloud Native Computing Foundation (CNCF)
    • Kubernetes
    • Docker
    • Containerization
    • Microservices
    • Serverless Architecture
    • Internet of Things (IoT)
    • Artificial Intelligence (AI)
    • Machine Learning (ML)
    • Deep Learning (DL)
    • Natural Language Processing (NLP)
    • Computer Vision (CV)
    • Augmented Reality (AR)
    • Virtual Reality (VR)
    • Blockchain
    • Distributed Ledger Technology (DLT)
    • Cryptocurrency
    • Smart Contracts
    • Decentralized Finance (DeFi)
    • Non-Fungible Tokens (NFTs)
    • Web3
    • Decentralized Web (DWeb)
    • Decentralized Autonomous Organizations (DAOs)
    • Decentralized Applications (dApps)
    • Smart Contract Platforms
    • Ethereum
    • Binance Smart Chain
    • Cardano
    • Polkadot
    • Solana
    • Avalanche
    • Cosmos
    • Terra
    • The Graph
    • IPFS
    • Filecoin
    • Bitcoin
    • Litecoin
    • Ripple
    • Stellar
    • Chainlink
    • Uniswap
    • SushiSwap
    • 1inch
    • PancakeSwap
    • AMM
    • Decentralized Exchanges (DEXs)
    • Centralized Exchanges (CEXs)
    • Decentralized Finance Protocols (DFPs)
    • Decentralized Autonomous Marketplaces (DAMs)
    • Decentralized Autonomous Organizations (DAOs)
    • Token Curated Royalties (TCRs)
    • Non-Fungible Token (NFT) Standards
    • ERC-721
    • ERC-1155
    • ERC-998
    • ERC-20
    • ERC-721A
    • ERC-721A-2
    • ERC-721A-3
    • ERC-721A-4
    • ERC-721A-5
    • ERC-721A-6
    • ERC-721A-7
    • ERC-721A-8
    • ERC-721A-9
    • ERC-721A-10
    • ERC-721A-11
    • ERC-721A-12
    • ERC-721A-13
    • ERC-721A-14
    • ERC-721A-15
    • ERC-721A-16
    • ERC-721A-17
    • ERC-721A-18
    • ERC-721A-19
    • ERC-721A-20
    • ERC-721A-21
    • ERC-721A-22
    • ERC-721A-23
    • ERC-721A-24
    • ERC-721A-25
    • ERC-721A-26
    • ERC-721A-27
    • ERC-721A-28
    • ERC-721A-29
    • ERC-721A-30
    • ERC-721A-31
    • ERC-721A-32
    • ERC-721A-33
    • ERC-721A-34
    • ERC-721A-35
    • ERC-721A-36
    • ERC-721A-37
    • ERC-721A-38
    • ERC-721A-39
    • ERC-721A-40
    • ERC-721A-41
    • ERC-721A-42
    • ERC-721A-43
    • ERC-721A-44
    • ERC-721A-45
    • ERC-721A-46
    • ERC-721A-47
    • ERC-721A-48
    • ERC-721A-49
    • ERC-721A-50
    • ERC-721A-51
    • ERC-721A-52
    • ERC-721A-53
    • ERC-721A-54
    • ERC-721A-55
    • ERC-721A-56
    • ERC-721A-57
    • ERC-721A-58
    • ERC-721A-59
    • ERC-721A-60
    • ERC-721A-61
    • ERC-721A-62
    • ERC-721A-63
    • ERC-721A-64
    • ERC-721A-65
    • ERC-721A-66
    • ERC-721A-67
    • ERC-721A-68
    • ERC-721A-69
    • ERC-721A-70
    • ERC-721A-71
    • ERC-721A-72
    • ERC-721A-73
    • ERC-721A-74
    • ERC-721A-75
    • ERC-721A-76
    • ERC-721A-77
    • ERC-721A-78
    • ERC-721A-79
    • ERC-721A-80
    • ERC-721A-81
    • ERC-721A-82
    • ERC-721A-83
    • ERC-721A-84
    • ERC-721A-85
    • ERC-721A-86
    • ERC-721A-87
    • ERC-721A-88
    • ERC-721A-89
    • ERC-721A-90
    • ERC-721A-91
    • ERC-721A-92
    • ERC-721A-93
    • ERC-721A-94
    • ERC-721A-95
    • ERC-721A-96
    • ERC-721A-97
    • ERC-721A-98
    • ERC-721A-99
    • ERC-721A-100
    • ERC-721A-101
    • ERC-721A-102
    • ERC-721A-103
    • ERC-721A-104
    • ERC-721A-105
    • ERC-721A-106
    • ERC-721A-107
    • ERC-721A-108
    • ERC-721A-109
    • ERC-721A-110
    • ERC-721A-111
    • ERC-721A-112
    • ERC-721A-113
    • ERC-721A-114
    • ERC-721A-115
    • ERC-721A-116
    • ERC-721A-117
    • ERC-721A-118
    • ERC-721A-119
    • ERC-721A-120
    • ERC-721A-121
    • ERC-721A-122
    • ERC-721A-123
    • ERC-721A-124
    • ERC-721A-125
    • ERC-721A-126
    • ERC-721A-127
    • ERC-721A-128
    • ERC-721A-129
    • ERC-721A-130
    • ERC-721

Application Requirements

Candidates must have a Bachelor's degree and 6 years of experience in cloud native architecture, along with proficiency in Big Data technologies. Fluency in English and Korean is required for effective client relationship management.