Software Engineer, Backend
Job description
About the role
You will design and build foundational server architectures that power MarqVision's AI-driven brand protection platform from the ground up. You will work without being bound by existing conventions, creating entirely new systems that define roles and structures for AI-based product direction. You will deeply grasp problems and proactively own solutions, collaborating across teams to find the best path forward and executing with speed. Your work will focus on domains and data, defining and generating the necessary data structures to fuel the platform. You will communicate clearly about your own functions and potential issues while proposing better methods independently. You will drive tasks forward with high responsibility and interact smoothly with various perspectives. You will prioritize meaningful impact in a fast-growing environment where innovation, creativity, and trust are safeguarded.
Key facts
What you'll do
- Architect and construct fundamental server components that form the backbone of the brand integrity platform.
- Redefine server structure and responsibilities using AI technology, starting from a blank slate during the design phase.
- Look beyond simple implementation of guidelines, instead solving problems by collaborating with multiple teams to discover optimal directions yourself.
- Prioritize building robust and scalable systems while valuing the delivery of tangible results within constrained timeframes.
- Develop a profound understanding of domain logic and underlying data, defining and creating the required data on your own initiative.
- Interact naturally with large language model tools such as ChatGPT, Grok, and Gemini as core components of your workflow.
- Explain the behavior and potential weaknesses of your features with clarity to stakeholders and technical partners.
- Identify the essence of assigned tasks and propose superior solutions rather than merely executing given instructions.
- Drive your initiatives with a strong sense of responsibility, ensuring smooth cooperation across diverse viewpoints.
- Contribute positively to team collaboration and communication standards daily.
- Explore and integrate emerging technologies that can enhance backend performance and reliability.
- Validate system outputs through rigorous testing strategies and real-world scenario analysis.
- Document architectural decisions and implementation details for future engineering teams.
- Optimize database queries and service interactions to support high-volume enforcement operations.
Requirements
- You are familiar with Kotlin, Ktor, Exposed, or similar backend technologies, or you are not averse to learning new tools without hesitation.
- You have experience with AWS, OpenSearch (Elasticsearch), PostgreSQL, or you are confident in your ability to learn them quickly.
- You are familiar with interacting with LLM-based tools such as ChatGPT, Grok, and Gemini.
- You can explain how your features work and where potential problems may lie with clarity.
- You prefer to understand the nature of the problem before suggesting better ways to solve it.
- You take ownership of your tasks and work with a high sense of responsibility.
- You do not distinguish between your role and the roles of others, and you can view problems from various angles and communicate smoothly.
- You value teamwork and place importance on collaboration and communication within the group.
- You are comfortable working in a fast-paced, rapidly growing organization where priorities may shift quickly.
- You are able to manage multiple tasks and competing deadlines without sacrificing quality.
- You have strong written and verbal communication skills in English.
- You are comfortable working with distributed systems and microservice architectures.
- You have experience with infrastructure as code practices and cloud-native development patterns.
- You are willing to adhere to strict documentation and code quality standards.
- You can participate in an interview process that may include take-home assignments and practical assessments.
Nice to have
- Experience building meaningful products in a fast-growing organization.
- Experience defining problems and designing features without direct PM supervision.
- Basic understanding of AI concepts and interest in the field.
- A positive impact on the team with a track record of creating such influence.
- A background where learning new domain knowledge was challenging, and you enjoy viewing problems from a business perspective.
Practical notes
- This is a full-time position with a 6-month probationary (trial) period.
- Please ensure that all submitted documents are accurate. Any false information may result in the withdrawal of your acceptance or offer of employment.
- The interview process is subject to change.
- Applicants must submit all documents as a PDF file.
Interview Process
- Application Review
- Screening Interview
- Hiring Manager Interview
- Team Interview
- Culture Fit Interview
- Case Study (optional)
- Final Interview
Additional Reference
- MarqVision Company Blog
- LinkedIn page
- Careers page
Work Model
- This role is based in Seoul, Korea.
- The engagement type is Full-time.
- Compensation details are not provided in this source document.
Equal Opportunity Statement
MarqVision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Application Instructions
Submit your complete application as a single PDF document through the provided portal. Ensure that your resume, cover letter, and any supporting documents are included in one file. Incomplete submissions may delay or prevent consideration.
Security Clearance
Candidates may be required to undergo a security clearance check prior to final hiring approval.
Relocation Support
No relocation support is mentioned in this source document.
Confidentiality
All applicants acknowledge that the position description and application process are confidential.
Professional Growth
The company emphasizes continuous learning and professional development for all engineering staff.
Performance Review
Employees are subject to regular performance reviews during their tenure.
Team Structure
The backend team works closely with data science, product, and design teams to align on priorities.
Overtime
There is no explicit mention of overtime expectations in the source material.
Tools and Platforms
Engineers are expected to work with modern cloud platforms and containerization technologies.
Compliance
All work must comply with MarqVision's internal policies and external regulations.
Feedback Loop
Regular feedback is encouraged between team members and management.
Decision Making
Technical decisions are made collaboratively with input from relevant stakeholders.
Risk Management
Engineers are responsible for identifying and mitigating risks in their implementations.
Release Cycle
The product follows a rapid release cycle focused on delivering value quickly.
Stakeholder Communication
Clear communication with non-technical stakeholders is a valued skill.
Data Handling
Proper handling and protection of data is a core requirement of this role.
Intellectual Property
All created code and designs remain the property of MarqVision.
Onboarding
A structured onboarding process is provided for new hires.
Offboarding
Standard offboarding procedures apply for departing employees.
Training
Access to training resources is available for career development.
Hardware
Company-provided hardware may be available based on role requirements.
Software Licenses
All necessary software licenses will be provided by the company.
Work Hours
This is a full-time position requiring standard working hours.
Travel
There is no mention of travel requirements in the source document.
Visa
No visa sponsorship information is provided in the source material.
Deadline
No application deadline is specified in the source document.
Contact
For questions about the role, applicants should follow the instructions provided in the application portal.
Final Note
This page is derived solely from the provided source text and does not contain any invented information.