6 дней назад
Staff Software Engineer (AI Infrastructure)
152 000 - 282 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI Infrastructure) (Java/Go/Python): Building scalable resource management services and developer tools that power Coupang's AI lifecycle with an accent on distributed systems, event-driven microservices, and cloud-native infrastructure. Focus on designing reliable ML platforms, improving workflow orchestration and observability, and leading complex initiatives from architecture through operation.
Location: Seattle, USA
Salary: $152,000–$282,000 per year, depending on geographic market, skills, knowledge, and experience.
Company
is a fast-growing global public e-commerce company building technology and services for the future of commerce.
What you will do
- Design and implement a next-generation Resource Manager and AI developer tools for secure, policy-compliant data access across hybrid environments.
- Lead scalable, event-driven microservices for resource management.
- Build developer tools for workflow orchestration, model management, observability, and operational efficiency.
- Define end-to-end machine learning model development lifecycle experiences with Product, TPM, and Compliance stakeholders.
- Improve platform reliability, performance, monitoring, and incident management.
- Own critical platform initiatives from design through operation and continuous improvement while mentoring engineers.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- At least 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 Java, Go, Python, or another modern programming language.
- Experience with AWS, Azure, or GCP and cloud-native development practices.
- Strong understanding of data governance, compliance, and access control in distributed systems.
Nice to have
- Experience with Kafka, Cassandra, ClickHouse, MongoDB, Kubernetes, Docker, gRPC, Spring, or microservices architecture.
- Experience building infrastructure or platforms for machine learning and AI workloads.
- Experience with TensorFlow, PyTorch, ONNX, Prometheus, Grafana, or the ELK stack.
- Expertise in Java Spring Boot, Hibernate, and RESTful API design.
- Experience leading complex technical initiatives and influencing cross-functional stakeholders.
Culture & Benefits
- Startup culture combined with the resources of a large global public company.
- Medical, dental, vision, life, AD&D, disability, FSA, and HSA benefits.
- 401(k) plan with company match.
- 18–21 days of paid time off based on tenure and 12 paid holidays.
- Paid parental leave, pre-tax commuter benefits, and access to a free electric car charging station.
Hiring process
- Application review, phone interview, onsite or virtual onsite interview, and offer.
- The exact process may vary by role and scheduling circumstances.
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