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Senior, Back-end Engineer(Video Platform) - Coupang Play
Singapore, Singapore
·
On-site
·
Full-time
·
1w ago
Required Skills
Go
Java
Node.js
gRPC
RESTful API
AWS
Terraform
CloudFormation
Apache Kafka
Kinesis
SQS
Domain-Driven Design
Test-Driven Development
About Coupang Play
Coupang Play is an OTT video streaming service. We offer a wide range of content, including Original Series, TV Shows, Movies, and Sports.
We are in the business of delivering exceptional storytelling. We produce award-winning scripted and unscripted Original Series, such as “Boyhood”, “Anna”, and “SNL Korea”. We believe Sports can also be elevated by creative storytelling. Play is now an authoritative destination for Sports, broadcasting K-League, La Liga, Bundesliga, F1, NFL, and other leading leagues and tournaments. We also offer some of the latest movies that were just released in local theaters, bringing more exceptional storytelling to our customers.
To ensure that we deliver all content seamlessly, we invest in Engineering, Product, and Design. Coupang Play is available on all mobile devices, tablets, PC, Smart TV, Apple TV, and Android TV. Our teams keep optimizing how customers discover and stream both VOD and Live content. That includes investments in frontend, backend, and infrastructural developments. We also embrace Machine Learning to refine our CX.
We are still very early in our growth stage. If you enjoy solving complex problems using industry-leading technology or unconventional business approaches, please join us. We are building a world-class team of problem-solvers, all dedicated to delivering exceptional storytelling to our customers.
Role Overview
We are seeking a Senior Back-end Engineer with a "Founder's Mentality" to own the infrastructure powering our video platform. You don't just work on Jira tickets; you architect high-scale distributed systems on AWS, optimize cloud economics, and drive the end-to-end business impact of your work. You balance the agility of a startup with the rigor of Domain-Driven Design, ensuring we move fast without breaking production.
What You Will Do
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You will design and implement the core microservices and event-driven workflows that decouple video ingest from delivery, ensuring the platform remains fault-tolerant during massive traffic spikes
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You will take full ownership of the production environment by defining infrastructure as code, automating deployment pipelines, and implementing intelligent auto-scaling strategies to manage compute resources efficiently
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You will develop the backend orchestration logic for our media supply chain, automating complex tasks such as transcoding scheduling, manifest manipulation, and DRM license management
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You will proactively manage cloud economics by identifying inefficiencies and re-architecting workloads—such as shifting batch processing to Spot Instances—to maximize performance per dollar
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You will act as a technical standard-bearer for the team, enforcing Domain-Driven Design principles and comprehensive testing strategies to ensure we ship features rapidly without accumulating technical debt
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You will instrument pervasive observability across the stack, creating the feedback loops necessary to detect video performance bottlenecks and improve the end-user experience in real-time
Basic Qualifications
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5+ years of experience building distributed systems using Go (Golang), Java, or Node.js. Strong proficiency in gRPC and building high-throughput RESTful APIs.
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Deep experience architecting and deploying high-scale distributed systems on AWS. Deep expertise with compute (ECS/EKS, Lambda), storage (S3), data (DynamoDB, RDS) services, and comfortable writing Terraform or CloudFormation.
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Strong experience designing Event-Driven Architectures using managed services (Kafka, Kinesis, or SQS) to decouple services and ensure scalability.
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Demonstrated ability to optimize cloud infrastructure costs (e.g., using Spot Instances for non-critical VOD transcoding).
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Demonstrated strong foundation in software design (Domain-Driven Design), clean code principles, and a Test-Driven mindset. You balance "moving fast" with "building things that don't break."
Preferred Qualifications
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Strong experience with Streaming Protocols (HLS, DASH, CMAF) and understanding how to manipulate manifest tags programmatically
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Experience building video workflows using AWS Media Services (Media Live, Media Convert) or orchestrating FFmpeg on EC2 Spot Instances/Fargate
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Experience with DRM (Widevine, Fair Play, Play Ready)
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Experience building systems using Prometheus, Grafana, or ELK Stack specifically to track video metrics (e.g., Transcoding Speed vs. Realtime, Ingest Bitrate, Error Segment Ratios)
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Experience implementing Observability at scale: Instrumentation using Prometheus, Open Telemetry, or Datadog to track video-specific operational metrics.
Recruitment Process and Others
Recruitment Process
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Application Review - 1st Interview - 2nd Tech Interview
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Leadership interview – Offer
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The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
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Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
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This job posting may be closed prior to the stated end date for application if all openings are filled.
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Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
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Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
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Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.
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Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
https://privacy.coupang.com/en/land/jobs/
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About Coupang
Reviews
2.5
9 reviews
Work Life Balance
2.1
Compensation
2.8
Culture
2.4
Career
3.2
Management
1.9
25%
Recommend to a Friend
Pros
Growth opportunities and career advancement
Good compensation and timely pay
Remote work flexibility
Cons
Poor work-life balance and long hours
Toxic management and controlling behavior
Poor working conditions and workplace safety
Salary Ranges
1 data points
Principal/L7
Senior/L5
Principal/L7 · Data Scientist L7
0 reports
-
total / year
Base
-
Stock
-
Bonus
-
Interview Experience
2 interviews
Difficulty
4.0
/ 5
Offer Rate
50%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Behavioral/Culture Fit Interview
4
Coding Interview
5
Technical Interview
6
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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