Staff Site Reliability Engineer

We are looking for a Staff Software Engineer, Security Engineering to lead the design and development of internal platforms, tools, and automation that help protect sensitive data across the organization. 

This role is ideal for a software engineer who enjoys building scalable backend systems, working with large-scale data platforms, and partnering with security, privacy, compliance, and engineering teams. You will help improve how the company discovers, reviews, governs, and reduces sensitive data exposure through well-designed software systems and automation. 

• →Design and build internal platforms and tools to support sensitive data discovery, review workflows, access governance, risk tracking, and remediation. 
• →Develop backend services, APIs, data pipelines, and automation workflows that help teams identify, analyze, and reduce sensitive data exposure. 
• →Integrate with large-scale data systems such as object storage, databases, data warehouses, streaming platforms, metadata systems, and production services. 
• →Work closely with security, data platform, and product engineering teams to translate business and risk requirements into practical engineering solutions. 
• →Partner with data owners and platform teams to improve how sensitive data is stored, accessed, transformed, shared, and monitored. 

• Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related technical field.
• 8+ years of software engineering, systems engineering, or Site Reliability Engineering experience supporting large-scale production environments.
• Strong technical leadership experience driving complex, cross-functional infrastructure or platform initiatives.
• Experience designing, building, and operating large-scale distributed systems and cloud-native platforms.
• Strong understanding of system architecture, networking, operating systems, observability, and performance engineering.
• Experience with cloud platforms, preferably AWS, including compute, storage, networking, containerization, and identity services.
• Experience developing automation for deployment, monitoring, incident response, and platform operations.
• Software engineering experience, especially in backend, platform, infrastructure, or distributed systems development. 
• Strong programming and scripting skills, such as Python, Bash, Java,Go,C++, or similar languages. 
• Good understanding of cloud infrastructure, especially AWS services, IAM concepts, permissions, logging, and access patterns.
   

Preferred Qualifications

• Experience operating mission-critical services with demanding availability, latency, and scalability requirements.
• Deep expertise in Kubernetes, containers, infrastructure as code, CI/CD, and modern observability platforms.
• Experience defining and managing Service Level Objectives (SLOs), Service Level Indicators (SLIs), and reliability engineering practices.
• Track record of improving system reliability, reducing operational burden, and increasing engineering velocity through automation.
• Experience driving technical strategy and influencing architecture decisions across multiple teams and organizations.
  

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 2 days in the office per week, with the flexibility to work from home 3 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. 
   

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