Senior Backend Engineer

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.  Job Overview:  As a Senior Staff Backend Engineer - Cloud Infrastructure, this role will focus on Cloud Platform Infrastructure, Services and processes at its best to enhance Cloud infrastructure reliability & system efficiencies, productivity, availability, scalability and system quality at 10X scale. This role will be responsible for diving deep into business problems, understanding current customer pain points, system domain, current Platform limitations (if exists) and then work closely with engineering teams / leaders to design and architect new system / services leveraging cloud infrastructure that can scale 10X better in terms of reliability, availability performance and efficiency. This includes providing system architecture artifacts, accountability on cloud infrastructure choices that can perform and scale at 10X level but are still efficient, guidance on using right machine type, network designs, deployment automation etc . You will be part of a Global team working from different locations but still works as a central connected unit.  Key Skills and Role Responsibilities:  * Strong experience on Cloud DevOps tools and coding (CI/CD, IaC, Terraform, Python, Cloud Formation, Ansible, GitHub, CircleCI, Jenkins and Infra Automation) * Self-service code development and end-to-end back cloud deployment automation for application stack. * Provide a roadmap and vision for scalable and robust growth for your cloud infrastructure and platform services to enable achieving 99.999% availability. * Strong technical analytical & design capability to understand common & shared platforms, web, & services API with underlying data to provide appropriate network, infrastructure recommendations * Strong working experience on Kubernetes, Docker, Linux and cloud services integrations. * 100% accountable for the reliable, scalable and optimized cloud architecture, design and platform services. * Serve as Cloud Engineering for Cloud infrastructure Architecture, Design and Deployment and maintenance for highly reliable and scalable applications. * Solves complex technical problems in Public Clouds (AWS, Azure, GCP) and Private Cloud environment and improves Operational Excellence. * Strong ability to dive deep to understand current cloud infra and systems architecture to provide strategic partnership and improvements on network usage, role management, CDN, domains and cloud infra security. * Analyze complex distributed production deployments and recommend ways to optimize performance and/or automate processes by managing continuous integration servers, utilizing monitoring and testing tools. * Identify opportunities to make disruptive improvements in cloud infrastructure usage, operations and services with high degree of systematic automation. * Possess expert knowledge in performance (sub millisecond latencies), scalability, availability (99.999% uptime), enterprise architecture best practices * Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience. * Strong problem-solving skills, analytical capabilities, and attention to details * Provide a roadmap and vision for scalable and robust growth for cloud infrastructure and platform services * Collaborate with customers, stakeholders and lead engineers on key mission-critical projects Preferred Qualifications:  * Bachelor's degree and/or Master's degree in Computer Science or equivalent with 15+ Years of strong hands-on experience in cloud platform engineering. * 10+ years of hands-on experience on system engineering, Cloud DevOps and Cloud SRE * 7+ years of hands-on experience leading system design, architecture leveraging AWS or Azure services * 10+ years of demonstrable hands-on experience building and operating infrastructure as code (IaC). Comfortable with many flavors of Linux * 10+ year’s of hands-on experience in building high-performance, highly-available and scalable distributed systems in the cloud. * 7+ year’s of hands-on experience in building and managing high-performance, highly-available and scalable Hybrid Cloud cloud environments . * Excellent cross-group collaboration, outstanding verbal and written communication. * AWS Certification Advance Architecting, Developing on AWS, * Strong hands-on experience on automating App stack deployments through IaC using Terraform, Python or Go. * 10+ years of hands-on experience as a Cloud Infra Engineering * Team leading experience * Excellent cross-group collaboration and communication skills    Basic Qualifications:  * Bachelor’s degree and 7+ years of total experience    * Ability to solve problems through creative thinking and partnerships with other teams    * Ability to attain challenging targets through goal-setting and personal drive     Pay & Benefits  Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,000/year to $299,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. Annual bonus is 0-20% of the base salary. General Description of All 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     * up to 6 weeks of Paid Parental leave     * Pre-tax commuter benefits     * MTV - [Free] Electric Car Charging Station    General Description of Other Compensation       “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.     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/privacy-policy/   Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.    Job Requisition ID: 8784

Aurelian

ABOUT AURELIAN Aurelian builds AI tools that help 911 centers handle more with less, so telecommunicators can stay focused on what matters most and communities get the response they need. AVA is a conversational AI agent that answers non-emergency calls; the agent routes, triages, and resolves the calls without any human intervention. By handling administrative calls like noise complaints, lost dogs, and parking inquiries, AVA eliminates hold times and lets call-takers focus their energy on actual emergencies. CORA supports call-takers on the calls that matter most. CORA is an on-screen assistant that delivers real-time SOP checklists, smart reminders, and contextual guidance as an emergency call unfolds, so dispatchers stay calm, consistent, and confident when every second counts. When AVA detects an emergency mid-call, it transfers the caller to a telecommunicator and passes along the caller details, location, incident type, and key statements directly into CORA. The call-taker never starts from scratch. The problem we're solving is serious. The average emergency communications center is 30% understaffed nationwide. Staffing shortages drive burnout and attrition, which makes the shortage worse. Meanwhile, 60-80% of the calls coming in aren't even emergencies at all. Aurelian addresses both sides of that equation: AVA reduces unnecessary call volume, and CORA makes every emergency call more manageable for the people handling it. Aurelian is live in centers across the country, answering thousands of non-emergency calls every day, and is backed by New Enterprise Associates and Y Combinator. Aurelian is growing rapidly; we are hiring people who want to help scale this work and make a real difference in public safety infrastructure for communities across the country. WHY JOIN US Aurelian builds state of the art, multimodal conversational AI systems that help save lives. We work directly with 9-1-1 call centers to modernize emergency response workflows - where reliability, speed, and usability aren’t “nice-to-haves,” they’re mission-critical. We’re hiring a Senior Infrastructure Engineer to help build out the Aurelian platform that powers our realtime AI agents. Your customers are other engineers on the team; you'll create the systems, tools, and abstractions that make everyone more productive and our platform more reliable.   WHAT YOU’LL BE DOING A few examples you may work on based on our current priorities: * Analytics: Build out analytics infrastructure using ClickHouse to handle massive increases in traffic and increasingly complex queries. * Observability: Creating great instrumentation, logging, and monitoring tools to give us as much visibility as possible into where calls go wrong in production. * Developer Tooling: Testing frameworks, CLIs, automations, etc. that help our team move quickly with AI coding tools without sacrificing reliability or confidence. WHO WE’RE LOOKING FOR * You thrive on autonomy and constantly look for new areas we can improve. * You have 4+ years of experience in infrastructure, platform, or backend engineering roles, ideally at companies where reliability and scale are serious challenges. * You are comfortable across areas of the stack from backend application code to cloud infrastructure. * You are excited by the challenges of building AI systems at scale.   To learn more about what it's like to work at Aurelian, visit our About Us page and follow us on LinkedIn to stay up to date! We encourage you to apply even if you don’t meet every qualification listed above. We believe exceptional people come from many different backgrounds, and we’d rather connect with you than miss the opportunity. Come do the best work of your life and join us in shaping the future of critical technology that truly matters. FOR FULL-TIME ROLES, AURELIAN OFFERS A VARIETY OF BENEFITS, INCLUDING: * Comprehensive Medical, Dental, Vision & Life insurance * 401(k) * Unlimited PTO * Company-wide offsites * Equipment stipend * Relocation assistance * Daily delivered lunches (on us) * Office in Seattle * Start-up Equity

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. The Conversion Visibility Modeling team enables a performant ads marketplace and helps prove value to advertisers by connecting Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. As a Machine Learning Engineering Manager on this team, you will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure, so advertisers retain accurate, privacy-aware performance visibility as signals fragment and degrade. You will set the technical direction for high-impact ML systems that feed ranking, bidding, measurement, and reporting across Pinterest’s ads stack.   What you’ll do:  * Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers, fostering strong collaboration across modeling and infrastructure and building an inclusive, high-performing environment where the team can deliver end-to-end solutions.  * Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that improve match precision/recall and downstream conversion quality across web and app surfaces. * Partner closely with product managers, data scientists, and tech leads to shape problem definitions, translate business needs into technical strategy, and drive execution toward high-impact outcomes. * Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics that enable end-to-end identity and conversion visibility systems—including models, data pipelines, and serving surfaces—to integrate cleanly into the broader ads ecosystem. * Establish engineering best practices across both ML and backend development, including data quality, feature and data pipelines, model evaluation, experimentation, service reliability, and operational excellence, so the team can build trustworthy ML-powered systems end to end. * Use AI to accelerate analysis and iteration on model ideas and architectures, while applying strong judgment, testing, and verification to ensure correctness, reliability, and advertiser trust.   What we’re looking for: * 7+ years of experience building and deploying large-scale ML systems in production (e.g., ads, measurement, recommendation, ranking, or search). * 2+ years of experience as an engineering manager or technical lead. * Bachelors Degree in Computer Science, Statistics, or a related technical field, or equivalent experience. * Nice to have: Meaningful hands-on experience or strong familiarity with ads conversion attribution, identity matching, ads ranking or ads measurement domains. * Proven technical leadership across both ML and software systems, with experience setting direction for multi-quarter roadmaps that span modeling, data pipelines, backend services, and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans. * Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. *  This role will need to be in the office for in-person collaboration 1 day per week and therefore needs to be in a commutable distance from one of the following offices [Seattle or Bay Area]. #LI-AK7 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $189,308—$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.