ML Application Engineer

Director, Data Security Engineering (Digital Trust)

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-billiondollar e-commerce industry from the ground up. We are one of the fastest-growing ecommerce 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 entrepreneurial 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.   Job Overview   The Director of Data Security Engineering is responsible for defining and executing the organization’s data protection strategy, ensuring the confidentiality, integrity, and availability of sensitive data across all environments. This leader will build and scale a modern data security engineering program, driving innovations in data protection technologies, automation, and zero trust practices to safeguard enterprise and customer data. This role partners closely with security architecture, privacy, engineering, legal, and business stakeholders to operationalize data security across cloud, SaaS, and on-premises ecosystems.   Key Responsibilities   Responsibilities will include, but not be limited to, the following:  STRATEGY & LEADERSHIP * Define and execute the enterprise data security strategy aligned with business objectives and risk posture. * Build, lead, and mentor a high-performing data security engineering team. * Establish multi-year roadmaps for data protection capabilities (e.g., data discovery, classification, encryption, DLP). * Act as a subject matter expert and executive advisor on data security risks and controls. DATA PROTECTION ENGINEERING * Design and implement scalable controls for: * Data discovery, classification, and labeling * Data Loss Prevention (DLP) across endpoints, networks, SaaS, and cloud * Encryption and key management (at rest, in transit, in use) * Tokenization, masking, and anonymization * Lead engineering efforts for securing structured and unstructured data across: * Cloud platforms (AWS, Azure, GCP) * SaaS applications (M365, Salesforce, etc.) * Data platforms (databases, data lakes, warehouses) CLOUD & MODERN DATA SECURITY * Drive security integration into modern data architectures (data lakes, AI/ML pipelines, GenAI systems). * Implement and mature Zero Trust data access models. * Ensure secure data usage in analytics, APIs, and distributed systems. RISK, COMPLIANCE & PRIVACY ALIGNMENT * Align data security controls with regulatory and compliance frameworks * Partner with Privacy and Legal teams to embed privacy-by-design and data minimization principles. * Support audit readiness and remediation efforts related to data protection. THREAT PROTECTION & INCIDENT RESPONSE * Collaborate with threat detection & response teams to identify and mitigate data exfiltration risks. * Develop controls and telemetry to detect insider threats and anomalous data access. * Lead post-incident reviews related to data security breaches. STAKEHOLDER COLLABORATION * Work cross-functionally with: * Security Architecture & Platform Engineering * Application & Infrastructure Engineering * Data Engineering & Analytics teams * Legal, Compliance, and Privacy teams * Communicate risks, strategies, and program maturity to executive leadership.   Essential Requirements   * 10–15+ years of experience in cybersecurity, with significant focus on data security. * 5+ years in a leadership role managing security engineering teams. * Deep expertise in: * Data security technologies (DLP, DSPM, encryption, key management) * Cloud-native security (AWS, Azure, GCP) * Data platforms (Snowflake, Databricks, BigQuery, etc.) * Strong understanding of: * Zero Trust principles * Identity and access management (IAM, RBAC/ABAC) * Secure data architecture patterns * Experience implementing security in CI/CD and DevSecOps environments. * Familiarity with regulatory frameworks and data protection laws. * Bachelor’s degree in Computer Science, Information Security, or related field (Master’s preferred).   Preferred Requirements   * Experience with Data Security Posture Management (DSPM) tools. * Background in privacy engineering or working closely with CPO organizations. * Knowledge of modern risks related to AI/GenAI and data leakage. * Industry certifications (CISSP, CISM, CCSP, etc.). * Experience in large-scale enterprise or highly regulated environments. * Strategic thinking with strong execution focus * Deep technical expertise balanced with business acumen * Strong leadership and team-building skills * Excellent communication and stakeholder management * Problem-solving in complex, distributed environments   Recruitment Process & Others   Recruitment Process   * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer  * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.  * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.    Details to Consider   * This job posting may be closed prior to the stated end date for application if all openings are filled.     * 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.     * Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.  * 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.   Privacy Notice   * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.  * https://www.coupang.jobs/en/privacy-policy/   Document Return Policy  * This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.   * A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act.  However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company.  In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.  * A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail.  Please be informed that the job applicant is required to pay the postage on the registered mail.  * In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process.  If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

Forward Deployed Engineer

Databricks

CSQ427R142 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.  This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. This position will report to Director, FDE in Korea.  The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * 7+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification * Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal). About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Staff Backend Engineer (Streaming & AI Infrastructure)

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. Role Overview As part of our Application Infrastructure org, this is a team building Coupang’s next-generation Real-Time Streaming & AI Platform that powers the end customer website and mobile apps. We are looking for a visionary Staff Software Engineer to lead the architectural design of a platform capable of processing over 100k+ events per second with sub-second, end-to-end latency. This system will serve as the central nervous system for Coupang, enabling real-time product and customer data and instant personalization. You will build a system that doesn't just meet industry standards but sets them, ensuring 5-6 nines availability while leveraging AI to optimize data flows and automate complex system behaviors. Responsibilities * Architect for Velocity: Lead the end-to-end design of a distributed streaming engine. You will Build the Best Team and Help Them Grow by setting the gold standard for high-throughput, low-latency architectural integrity. * Define Extreme Performance: Design for "5-6 nines" (99.9999% availability) at a throughput of 100k+ events/sec. You will Dive Deep into JVM tuning, memory management, and network I/O to ensure sub-second latency across global clusters. * AI-Driven Streaming: Integrate AI/ML models directly into the stream processing path. Implement predictive scaling and intelligent load balancing to ensure we Wow the Customer through seamless, real-time platform responsiveness. * Solve Hard Problems: Address challenges related to distributed consistency, at times, exactly-once processing guarantees, and backpressure management. You must Be Data-Driven to validate architectural decisions against massive, bursty traffic patterns. * Lead with Influence: As a Staff Engineer, you will Influence without Authority, collaborating with domain teams to migrate legacy batch processes to real-time streaming architectures. Basic Qualifications * Bachelor's degree in Computer Science, Electrical Engineering, Math, or a closely related field. * 6+ years of experience in backend software development. * Expert-level experience in Cassandra, TiDB, or DynamoDB * Expert-level proficiency in Java and the Spring Framework. * Demonstrated experience in building and maintaining highly available, distributed systems in cloud environments (AWS). * Experience with high-volume messaging systems (e.g., Kafka, SQS). Preferred Qualifications  * Extensive Experience: 10+ years of professional software development experience building backend infrastructure that supports global-scale, real-time traffic. * Performance Expert: Proven track record of optimizing JVM applications for ultra-low latency (<100ms p99s) and high concurrency. * AI Integration: Experience or a strong architectural vision for using AI/ML to automate system-level functionality, such as real-time anomaly detection in data streams. * Distributed Systems Expert: Deep understanding of the CAP theorem, consensus algorithms, and building fault-tolerant systems from the ground up. * Observability Expert: Expertise in building highly observable systems using distributed tracing and advanced telemetry to proactively identify bottlenecks in the streaming pipeline. Recruitment Process and Others * Recruitment Process  1. Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer  2. The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.  3. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.  * Things to Consider  1. This job posting may be closed prior to the stated end date for application if all openings are filled.     2. 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.     3. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.  * Privacy Notice  1. Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located HERE.  * Document Return Policy  1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.   2. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act.  However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company.  In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.  3. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email (recruitingops@coupang.com) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail.  Please be informed that the job applicant is required to pay the postage on the registered mail.  4. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process.  If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.  Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.