Senior Staff Cloud Backend Engineer - Observability and Site Reliability

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 I 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 We are seeking a Sr Staff System Engineer, GPU Fleet for our Coupang Intelligent Cloud (CIC) team,  to serve as the senior technical owner for our hyperscale GPU compute infrastructure. In this role, you will define fleet architecture, drive reliability and automation at scale, and lead the operation and evolution of GPU systems supporting large‑scale AI training and inference workloads. This is a hands‑on, staff‑level individual contributor role with broad technical ownership, high operational impact, and significant cross‑functional influence across hardware, infrastructure, and datacenter operations. CIC builds the infrastructure for abundant intelligence. We partner with leading AI labs, governments, and enterprises to deliver hyperscale GPU compute with high reliability, performance, and efficiency. Our infrastructure supports some of the most demanding AI training and inference workloads in production today. We operate with urgency, deep ownership, and a strong bias toward execution. Reliability, operational excellence, and rigorous systems engineering are core to our business.   What You Will Do As a Sr Staff System Engineer, GPU Fleet, you will be the senior technical owner for CIC’s large‑scale GPU compute infrastructure. This is a hands‑on senior individual contributor role with fleet‑level responsibility and broad cross‑functional influence. You will define the technical direction for how GPU fleets are architected, operated, automated, and evolved across multiple generations of hardware. Your work will directly affect fleet reliability, operating efficiency, scalability, and customer success. This role does not involve people management, but it carries principal‑level scope, autonomy, and decision‑making authority across infrastructure, hardware, and operations.   Key Responsibilities: Fleet Architecture & Technical Ownership * Own the end‑to‑end technical architecture of hyperscale GPU fleets, including hardware platform selection, firmware strategy, OS configuration, drivers, networking, and observability. * Define and enforce technical standards and best practices for fleet reliability, availability, performance, and operability. * Lead major fleet‑wide initiatives such as new GPU platform bring‑ups, multi‑generation hardware transitions, and architectural redesigns. * Evaluate trade‑offs across cost, performance, reliability, and time‑to‑deploy, and make technically sound decisions under ambiguity. Reliability, Availability & Performance * Set and drive fleet‑level reliability, availability, and performance objectives. * Lead root‑cause analysis and resolution of complex, systemic failures affecting large portions of the fleet or multiple datacenters. * Identify recurring failure patterns and drive long‑term fixes spanning hardware, software, automation, and operational processes. * Work directly with hardware vendors and partners to resolve platform‑level issues and influence future hardware designs. Automation & Systems Engineering * Design and build large‑scale automation systems for: * GPU fleet provisioning and lifecycle management * GPU health validation, diagnostics, and certification * Automated remediation, recovery, and replacement workflows * Eliminate manual operational toil through durable, well‑designed tooling that scales with fleet growth. * Ensure all fleet systems are observable, testable, and resilient under failure conditions. Operational Leadership * Act as a senior escalation point for critical production incidents impacting GPU availability or customer workloads. * Participate in on‑call rotations with a strong emphasis on preventing future incidents, not just responding to them. * Lead high‑severity post‑incident reviews and ensure learnings are translated into concrete engineering and process improvements. Technical Influence & Mentorship * Provide technical mentorship and guidance to system and infrastructure engineers across the organization. * Serve as a trusted technical partner to platform engineering, networking, datacenter operations, and leadership teams. * Influence CIC’s long‑term infrastructure roadmap through strong technical judgment and data‑driven recommendations.      Basic Qualifications  * 12+ Years of overall experience with at least 8+ years of experience in Linux systems engineering, infrastructure engineering, or datacenter operations, operating production environments with strict uptime and performance requirements. * Deep, hands‑on expertise in Linux system internals, including process scheduling, memory management, filesystem behavior, networking, kernel behavior, and system performance analysis. * Demonstrated experience operating hardware‑intensive infrastructure in production, including bare‑metal servers at scale. * Proven ability to debug complex issues across multiple system layers, including hardware components, firmware/BIOS, kernel drivers, OS configuration, and user‑space services. * Extensive experience writing production‑grade automation using Python and Bash for provisioning, configuration management, diagnostics, remediation, and fleet operations. * Strong understanding of how to design systems that are observable, resilient, and safe under failure, rather than reliant on manual intervention.   Preferred Qualifications * Direct experience operating large‑scale GPU fleets supporting AI/ML training and/or inference workloads in production. * Familiarity with modern GPU platforms and ecosystems, including GPU drivers, CUDA, NCCL, and high‑performance compute workloads. * Experience with high‑speed interconnects and datacenter networking, such as NVLink, InfiniBand, RDMA, and high‑throughput Ethernet. * Prior ownership of fleet‑wide or platform‑wide initiatives, such as new hardware bring‑ups, major architectural changes, or reliability transformations. * Experience partnering directly with hardware vendors or manufacturers to troubleshoot systemic issues or influence future platform designs. * Strong intuition for failure modes at scale, including cascading failures, correlated faults, and second‑order effects across systems. * History of acting as a technical authority or escalation point for ambiguous, high‑impact production problems. * Ability to mentor engineers through design reviews, technical problem solving, and modelling strong operational ownership. * Experience participating in on‑call rotations and responding to high‑severity production incidents with clear ownership, urgency, and technical leadership. * Strong written and verbal communication skills, including clear post‑incident reviews and technical documentation. 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/

Financial Times

ABOUT US The Financial Times (FT) is one of the world’s leading business news and information organisations. We are recognised globally for our authority, integrity, and accuracy. We provide a broad range of essential services, including news, comment, data, and analysis, to a growing audience of internationally minded business people. Here at the FT, gold-standard journalism is just the beginning. Our 500-people-strong Product & Tech team keeps us ahead of the ever-changing digital landscape by delivering cutting-edge products to over one million digital subscribers every day. Our plans for growth rely on a diverse, dedicated, and dynamic group of product, tech, delivery, and data specialists – everyone’s welcome in this friendly, forward-thinking team. STORYFINDING TEAM The Storyfinding team sits at the heart of innovation between the FT’s newsroom and technology. We collaborate closely with the Computational Journalism team to uncover and scale new ways of finding stories hidden in complex or unstructured data. Our mission is to turn bespoke investigations into reusable tools and data products that empower more journalists to tell stories that otherwise would be untold. This is where engineering meets journalism — you can see the direct impact of your work on the FT’s homepage. Since the team was formed, Storyfinding has helped uncover more than 10 exclusive stories, including Europe builds for war as arms factories expand at triple speed and Prices for used Teslas drop in US and Britain. We are a cross-functional team of Software Engineers, Data Engineers, ML Ops Engineers, and Product Managers. We balance strong engineering practices with the fast-moving needs of the newsroom, delivering quickly while keeping our systems reliable, secure, and easy to evolve. ABOUT THE ROLE OVERVIEW We are looking for a Senior Software Engineer 1 to play a key role in designing, building, and operating the backend systems and services that power Storyfinding’s investigative and editorial work. This is a hands-on senior individual contributor role with a primary focus on backend software engineering. You will be responsible for designing and building robust backend systems and services, while also maintaining that data engineering is a key component of the work. You will contribute to and maintain critical data pipelines and data products, helping to establish patterns and standards that enable the team to scale its impact. WHAT YOU’LL WORK ON Some example projects include: * Designing and operating data pipelines that ingest, clean, enrich, and model complex datasets for investigative reporting. * Building resilient, observable data workflows to support high-traffic and time-critical newsroom events such as elections or major economic announcements. * Developing shared data infrastructure and tooling that turns one-off investigations into reusable capabilities for the wider newsroom. * Working with unstructured and semi-structured data sources (documents, filings, scraped content, APIs) to create high-quality, queryable datasets. * Collaborating with journalists, product managers, and engineers to translate editorial questions into scalable data solutions. KEY RESPONSIBILITIES * Design, build, and maintain scalable and resilient backend services, APIs, and infrastructure. * Ensure high standards of software quality through testing, documentation, observability, and security across all systems. * Design, build, and maintain scalable, reliable data pipelines and datasets in a cloud environment. * Work across OLTP and OLAP data stores to support both application-driven and analytical use cases. * Partner closely with journalists and other technical colleagues to shape data solutions that directly support storytelling. * Lead by example in engineering best practices, including code review, documentation, and pragmatic architectural decision-making. * Support and mentor more junior engineers through pairing, feedback, and knowledge sharing. * Identify areas where AI and new technologies can help in the newsroom and be able to propose ideas. * Actively participate in the process of requirements gathering and have the desire to have regular catch-ups with editors and journalists if that’s needed. ABOUT YOU We’re looking for someone curious, pragmatic, and motivated by impact. You enjoy working with messy real-world data, care deeply about reliability and clarity, and are comfortable operating in an environment where priorities can shift quickly around editorial deadlines. ESSENTIAL SKILLS * Strong experience as a backend engineer designing and building production-grade distributed systems and APIs in a cloud environment. * Excellent Python skills for developing backend services, system integration, and data processing. * Solid experience as a data engineer with a vital skill set in maintaining production data pipelines and using workflow orchestration tools like Apache Airflow. * Experience working with cloud platforms, particularly AWS. * Familiarity with modern engineering practices including version control, CI/CD, and automated testing. * The ability to communicate clearly with both technical and non-technical stakeholders. * Interest in exploring new technologies and approaches related to AI and Agentic AI. * An interest in journalism, investigations, or using data to answer real-world questions. * Data Science (DS) experience or education is highly valuable for this role, as we leverage AI heavily for many of our use cases. DESIRABLE SKILLS * Strong SQL skills and experience designing and working with relational and analytical databases. * Experience with databases such as BigQuery, Redshift, PostgreSQL, SingleStore, or MongoDB. * Experience working with unstructured or semi-structured data at scale. * A solid understanding of data modelling, data architecture, and trade-offs between different storage and processing approaches. * Comfort contributing to backend software engineering tasks beyond pure data pipelines. * Exposure to building internal tools or lightweight user-facing applications. * Experience with building simple user interfaces or/and the desire to do so (e.g., using frameworks like Streamlit). CHARACTERISTICS WE VALUE * Inquisitive and analytical, with strong problem-solving skills. * Pragmatic and delivery-focused, able to balance technical quality with newsroom deadlines. * Collaborative and generous with your knowledge. * Comfortable working with ambiguity and evolving requirements. * A systems-level thinker who can see how individual pipelines and tools fit into a broader platform. * Motivated by learning and continuous improvement. * A collaborative team member who thrives in cross-functional environments and values collective success. OUR TECHNOLOGY We don’t expect you to be an expert in everything. Our current stack includes: * Languages: Python, SQL * Cloud & Infrastructure: AWS * Data Pipelines & Orchestration: Apache Airflow, AWS ECS * Databases: BigQuery, Redshift, PostgreSQL, SingleStore, MongoDB * Version Control & CI/CD: GitHub, CircleCI * Frontend (small part of the role): Streamlit This is a unique opportunity to use your technical skills to contribute to data journalism. You’ll be making content for the FT’s readership, using data to make news accessible, understandable, and impactful. If this sounds like a role that aligns with your expertise and ambitions, we’d love to hear from you!   IN RETURN, WE CAN OFFER YOU * Annual bonus scheme * 25 days paid leave * 24/7 Employee Assistance Program * Life Insurance * Enhanced Parental Leave policy * Food Allowance * Multisport Card * Both in house and external training programs * Your own training dedicated budget (for conferences, courses etc.)   We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning.  We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams.    Our commitment to diversity, equity and inclusion  We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.   Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help.   Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com.  Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT. #LI-MG1

Toast

ABOUT THE JOB Toast is building the restaurant platform that helps restaurants adapt, take control, and focus on what they do best: growing businesses they love. Our platform streamlines operations, increases revenue, and delivers outstanding guest experiences by combining point of sale, team management, guest-facing technology, and award-winning customer support. As a Toaster, you’ll work on meaningful projects that shape the company’s future. Join us as we empower the restaurant community to thrive. ROLE OVERVIEW Toast is seeking a Staff Software Engineer for the Membership team in India. In this role, you will be a senior IC technical leader for the Membership domain, responsible for shaping architecture and engineering direction for systems that power subscriptions, memberships, entitlements, and usage tracking across Toast’s ecosystem. This is a hands-on role with significant cross-team influence. You will partner closely with Product, UX, and engineering teams to design scalable platform systems that balance long-term architectural health with fast-moving product needs. You will operate across multiple teams, define technical standards, and drive alignment on architecture, APIs, and system boundaries. KEY RESPONSIBILITIES 1. ARCHITECTURE & SYSTEM OWNERSHIP * Define and evolve the long-term architecture of the Membership platform. * Design distributed systems for subscriptions, entitlements, and usage tracking. * Own service boundaries, APIs, and data models across PostgreSQL and DynamoDB. * Design event-driven systems using Kafka, Pulsar, or similar technologies. * Ensure correctness in distributed systems (idempotency, retries, consistency, failure). * Identify architectural gaps, scalability risks, and performance bottlenecks; drive resolution. 2. HANDS-ON ENGINEERING & DELIVERY * Stay hands-on in designing and code reviewing backend services in Java/Kotlin. * Build and evolve microservices deployed on AWS. * Translate product requirements into scalable technical designs in collaboration with Product and UX. * Improve system performance, reliability, and production readiness. * Apply modern engineering practices including CI/CD, version control, and agile development. 3. TECHNICAL LEADERSHIP & CROSS-TEAM INFLUENCE * Lead architecture reviews, RFCs, and design discussions. * Mentor engineers and raise the bar for system design and engineering quality. * Drive alignment on APIs, ownership boundaries, and technical standards. * Communicate technical trade-offs clearly across engineering and product stakeholders. 4. OPERATIONAL EXCELLENCE & RELIABILITY * Own reliability and health of production systems. * Lead incident analysis and drive systemic improvements. * Define and evolve observability standards (metrics, logs, tracing). * Continuously reduce operational burden through better system design. WHAT YOU’LL NEED * Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience) * 10+ years of experience building backend systems and APIs. * Strong expertise in Java and/or Kotlin. * Proven experience designing large-scale distributed systems and microservices. * Deep understanding of system design trade-offs (scalability, consistency, latency, reliability). * Experience with event-driven systems (Kafka, Pulsar, or similar). * Strong experience with PostgreSQL and/or DynamoDB. * Experience building cloud-native systems on AWS. * Strong production systems experience, including monitoring, debugging, and incident response. * Experience influencing technical direction across multiple teams. * Strong communication skills across technical and non-technical stakeholders. * Comfortable working in ambiguous, fast-evolving environments. NICE TO HAVE * Experience in fintech, ecommerce, or subscription/membership platforms. * Experience with observability, resiliency, and large-scale distributed systems. * Experience with CI/CD pipelines and modern engineering practices. * Experience building systems from scratch or in early-stage environments. * Experience working across product-facing APIs and backend systems. OUR TECH STACK  Backend: Java, Kotlin, Dropwizard Architecture: Microservices, Event-driven systems Cloud: AWS (Lambda, S3, RDS, EC2) Data: PostgreSQL, DynamoDB, Spark Messaging: Kafka, Pulsar, RabbitMQ Frontend (adjacent): React, ES6 How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.