Match Group

SRE & Data Platform Engineer

Tokyo, Japan

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Consumer Software, Data & AnalyticsIndustries

Requirements

The candidate should possess AWS/Google Cloud experience with virtual machine/network construction and monitoring, along with experience managing SLAs in commercial systems and identifying/resolving technical issues in systems. They require programming skills for application development and bug fixing, experience with toC or toB commercial systems using AWS or GCP, Linux server troubleshooting skills, and experience with MySQL or NoSQL databases. Furthermore, the role demands Docker container technology experience, web server, cache server operation knowledge, Infrastructure as Code (IaC) experience, commercial-level application development skills, strong communication skills, experience with large-scale system operations and troubleshooting, experience defining and monitoring quality indicators, experience building data governance systems for sensitive data, data engineering skills including processing streaming and batch data, and experience with data stores and data pipelines.

Responsibilities

This role involves constructing and operating system environments using public clouds such as AWS and Google Cloud, identifying and solving technical problems in systems through software engineering, developing and operating tools for automating operational tasks, building monitoring environments, operating applications and middleware to improve performance, strengthening data pipeline reliability through collaboration, implementing data governance and compliance with privacy policies, adjusting with stakeholders, building and maintaining data pipelines, implementing data integration between internal data and applications, and implementing a robust data governance system for sensitive data ensuring security and compliance with data lifecycle policies.

Skills

AWS
Google Cloud
SLA management
Linux
MySQL
NoSQL
Docker
Infrastructure as Code
Data governance
Data engineering
Troubleshooting
System operations
Application development

Match Group

Provides online dating and social discovery

About Match Group

Match Group leverages the Swipe feature® and social discovery, facilitating deeper connections through its portfolio of online dating brands, with a global presence and availability in over 40 languages.

Key Metrics

Dallas, TexasHeadquarters
1986Year Founded
$400MTotal Funding
IPOCompany Stage
Consumer Software, Social ImpactIndustries
1,001-5,000Employees

Benefits

Medical/Dental/Vision Insurance
Charitable Matching Program
Retirement Matching Funds
Training and Education Allowance
Performance Bonuses
Mental Health Counseling

Risks

Increased competition from AI-driven dating apps may draw users away.
Privacy concerns and data breaches could impact reputation and operations.
Free dating apps with innovative features may pressure Match Group's pricing models.

Differentiation

Match Group offers nearly 50 brands catering to diverse dating communities.
The company generates revenue through subscription, transaction, and advertising models.
Match Group operates globally, available in over 200 countries and 40 languages.

Upsides

Increased interest in AI-driven matchmaking enhances user experience and engagement.
Growing trend of VR integration offers immersive dating experiences.
Rising demand for niche platforms caters to specific interests and communities.

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