Staff Backend Engineer - Intelligent Cloud

Coupang

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are looking for an experienced Staff Engineer to lead backend engineering efforts specifically focused on identity and access management (IAM) for our next-generation AI cloud platform. Coupang is building a platform designed to power AI workloads at scale. As part of this multi-year initiative, the Identity team is responsible for managing user and machine identities, authentication, authorization, and secure service-to-service communication across the platform. This role will drive the development of foundational identity services that enable secure, scalable cloud infrastructure, handling hundreds of thousands of authentication events daily with rapidly growing scale. You will have the opportunity to : * Build and scale identity and authentication systems for a next-generation AI platform * Work on cutting-edge IAM challenges including OAuth2, OIDC, service-to-service authentication, and machine identity * Operate and scale systems handling 500K+ authentication requests daily * Collaborate across global teams in India, US, and other regions What You Will Do * Lead and grow a high-performing backend engineering team focused on identity and access management * Drive development of core IAM capabilities including authentication, authorization, and identity lifecycle management * Design and build scalable systems for user identity and machine identity management within a cloud environment * Work on modern authentication protocols such as OAuth2, OIDC, and SAML, and implement secure service-to-service authentication * Build and evolve authorization frameworks leveraging RBAC/ABAC models and policy engines (e.g., OPA) * Partner with cross-functional teams to deliver secure, scalable infrastructure for AI workloads * Drive technical design, execution planning, and delivery of complex distributed systems * Ensure reliability, scalability, and security of identity systems as the platform scales rapidly * Mentor engineers and foster a strong engineering culture focused on ownership and excellence Basic Qualifications * 10–12 years of backend software engineering experience with 3+ years in engineering management * Strong experience in backend development using Java or Python with REST API design * Hands-on experience with authentication and authorization technologies (OAuth2, OIDC, SAML) * Solid understanding of identity systems including user identity and machine/workload identity * Experience with service-to-service authentication and distributed system security * Strong problem-solving and execution skills with ability to break down complex systems * Experience working in cloud environments (AWS preferred) * Strong stakeholder management and communication skills Preferred Qualifications * Experience building IAM systems in cloud platforms (AWS, Azure, GCP) * Familiarity with PKI, certificate lifecycle management, and secure identity frameworks * Experience with authorization frameworks (RBAC, ABAC, OPA) * Exposure to Kubernetes and cloud-native architectures * Experience working on large-scale distributed systems handling high request volumes * Background in platform engineering or infrastructure teams Type of work model * Hybrid / Onsite / Remote working Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work. Details to consider * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 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/l and/jobs/

Coupang

Company Introduction   We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.    We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.   Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional trade-offs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.     Role Overview As a Staff Data Centre Observability and Site Reliability Engineer, you will own the design and operation of scalable observability platforms to ensure the reliability, performance, and availability of datacentre services. You will apply SRE best practices, automation, and performance optimization to deliver resilient infrastructure. This role partners closely with engineering teams and vendors to drive operational excellence while maintaining security and compliance standards. What You Will Do Observability and Monitoring: • Design, implement, and maintain observability solutions for datacentre infrastructure. • Develop, deploy, and maintain the operational and reliability components of a large-scale Observability and Telemetry collection platform, emphasizing performance at scale, real-time monitoring, logging, and alerting. • Participate in and enhance the entire lifecycle of services, from inception and design to deployment, operation, and refinement. • Develop and optimize monitoring systems to ensure high availability and performance. • Create and manage dashboards, alerts, and reports to provide visibility into system health and performance. Site Reliability Engineering (SRE): • Implement SRE best practices to improve the reliability, scalability, and performance of datacentre services. • Develop and maintain automation scripts for infrastructure provisioning, monitoring, and management. • Conduct root cause analysis and post-mortem reviews to prevent recurrence of incidents. Performance Optimization: • Analyze and optimize the performance of datacentre systems and applications. • Implement best practices for resource utilization and efficiency. Collaboration: • Work closely with other engineering teams to understand and meet their observability and reliability requirements. • Collaborate with hardware and software vendors to evaluate and integrate new technologies. Security and Compliance: • Ensure that observability and reliability solutions comply with security policies and industry standards. • Implement and maintain security measures to protect data and infrastructure. Troubleshooting and Support: • Provide support for observability and reliability-related issues, including debugging and resolving hardware and software problems. • Develop and maintain documentation for troubleshooting procedures and best practices. Continuous Improvement: • Stay updated with the latest advancements in observability and SRE technologies and integrate them into the infrastructure. • Continuously improve the reliability, scalability, and performance of datacentre services.   Basic Qualifications * Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.  * Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.  * Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.  * Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.  * Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale.  * Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production.    Preferred Qualifications * AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.  * Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.  * Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.  * Compliance: Experience operating in regulated environments with strict security and compliance requirements.  Type of work model  * Hybrid Details to consider  * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.    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/

Coupang

Company Introduction   We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.    We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.   Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.     Role Overview  As a Senior Staff Data Centre Observability and Site Reliability Engineer, you will design, build, and operate scalable observability and reliability solutions for large-scale datacenter infrastructure. This role focuses on developing high-performance monitoring and telemetry platforms, ensuring system reliability, and driving operational excellence through automation, performance optimization, and SRE best practices. The ideal candidate will work across the full service lifecycle—design, deployment, and continuous improvement—while collaborating with cross-functional teams to enhance visibility, resilience, and efficiency of critical systems. What You Will Do OBSERVABILITY AND MONITORING * Design, implement, and maintain observability solutions for datacenter infrastructure, including monitoring, logging, alerting, and telemetry systems. * Develop, deploy, and operate large-scale observability and telemetry platforms with a focus on real-time monitoring, high performance, and scalability. * Own and contribute to the full lifecycle of observability services—from design and development to deployment and ongoing optimization. * Build and enhance monitoring systems to ensure high availability, reliability, and performance of infrastructure. * Create and manage dashboards, alerts, and reports to provide clear visibility into system health, performance, and capacity trends. SITE RELIABILITY ENGINEERING (SRE) * Apply SRE principles and best practices to improve reliability, scalability, and operational efficiency of datacenter services. * Develop and maintain automation for infrastructure provisioning, monitoring, and system management. * Lead root cause analysis (RCA) and post-incident reviews, driving corrective actions to prevent recurrence and improve system resilience. PERFORMANCE OPTIMIZATION * Analyze system and application performance across the datacenter infrastructure to identify bottlenecks and improvement areas. * Implement optimization strategies to enhance performance, efficiency, and resource utilization. COLLABORATION * Partner with cross-functional engineering teams to understand observability and reliability requirements and deliver effective solutions. * Collaborate with hardware and software vendors to evaluate, integrate, and optimize new technologies within the ecosystem. SECURITY AND COMPLIANCE * Ensure observability and reliability solutions adhere to organizational security policies and industry standards. * Implement and maintain appropriate security controls to safeguard infrastructure, systems, and data. TROUBLESHOOTING AND SUPPORT * Provide hands-on support for observability and reliability issues, including debugging complex hardware and software problems. * Develop and maintain documentation, including troubleshooting guides and operational best practices, to support efficient issue resolution. CONTINUOUS IMPROVEMENT * Stay current with emerging trends, tools, and technologies in observability and SRE, and incorporate them into the platform. * Continuously enhance the scalability, reliability, and operational efficiency of datacenter services through proactive improvements.   Basic Qualifications * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.  * 12+ years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.  * Proven experience in managing and optimizing large-scale datacenter environments * Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.  * Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.  * Proven experience with load balancing, service mesh, and request routing at scale.  * Proficiency in observability tools and technologies (e.g., Prometheus, Grafana, ELK Stack). * Experience with SRE practices and tools (e.g., Kubernetes, Docker, Terraform). * Familiarity with cloud platforms (AWS, Azure, GCP) and their observability and reliability services   Preferred Qualifications  * Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.  * Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.  * Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.  * Experience operating in regulated environments with strict security and compliance requirements   Type of work model  * Hybrid Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.   Details to consider  * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.    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/