Staff Software Engineer
About The Position
The Resource Fabric Engineering team builds and operates the foundational infrastructure and developer tools that power the AI lifecycle across Coupang. Our mission is to provide scalable, reliable, and intelligent platforms that enable teams to efficiently build, deploy, and manage AI workloads. We develop core services including resource management, workflow orchestration, model lifecycle tooling, and observability solutions that support machine learning innovation at scale. We are looking for a Staff Software Engineer to lead the design and evolution of large-scale distributed systems and drive technical excellence across the platform.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 8 years of professional software development experience, or 6 years with an advanced degree.
- Experience designing, building, and operating large-scale distributed systems in cloud environments.
- Proficiency in at least one modern programming language such as Java, Go, or Python.
- Experience with AWS, Azure, or GCP, and cloud-native development practices.
Nice To Haves
- Strong expertise in distributed systems technologies including Kafka, Cassandra, ClickHouse, MongoDB, or similar platforms.
- Experience with Kubernetes, Docker, gRPC, Spring, and microservices architecture.
- Experience building infrastructure, tooling, or platforms supporting machine learning and AI workloads.
- Experience integrating with AI/ML frameworks or pipelines (e.g., TensorFlow, PyTorch, ONNX).
- Experience with observability tools (e.g., Prometheus, Grafana, ELK stack).
- Deep expertise in Java Spring Boot, Hibernate, and RESTful API design.
- Strong understanding data governance, compliance, and access control in distributed systems.
- Demonstrated ability to lead complex technical initiatives and influence cross-functional stakeholders in a fast-paced environment.
Responsibilities
- Design and implement the development of a next-generation Resource Manager and AI developer tools, enabling efficient, secure, and policy-compliant data access across hybrid environments.
- Lead the design of scalable, event-driven microservices for optimized resource management.
- Build and enhance developer tools that improve workflow orchestration, model management, observability, and operational efficiency.
- Mentor junior engineers and contribute to architectural decisions that shape the future of AI infrastructure.
- Collaborate with Product owner, TPMs, and Compliance teams to define end-to-end ML model development lifecycle experiences.
- Drive operational excellence by improving system reliability, performance, monitoring, and incident management practices.
- Take end-to-end ownership of critical platform initiatives from design through operation and continuous improvement.
Benefits
- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of the Paid Time Off (PTO) a year based on the tenure
- 12 Paid Holidays
- Paid Parental leave
- Pre-tax commuter benefits
- MTV - [Free] Electric Car Charging Station
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What This Job Offers
Job Type
Full-time
Career Level
Senior
