Head of Data Engineering

Join Our Team!Toss Securities is rapidly growing under the mission of "Innovating every investment experience for our customers", boasting over 7.4 million registered users and 4 million active monthly users. We are currently leading in foreign stock transaction volumes. Our diverse range of investment products, including stocks, bonds, and options, expands …

About the Team You Will JoinThe Security Division of Toss Bank consists of various teams including Security Policy, Privacy Protection, System Security, Network Security, Security Red Team, Security Blue Team, IT Service, and Security Audit teams.The Network Security Engineer at Toss Bank will be responsible for the implementation and management of internal and external firewall systems, along with various tasks related to network security, including the operation of DDoS, IPS, and WAF systems.The Security Division collaborates with multiple teams to create a safe and reliable service for Toss Bank. The Network Security Team particularly works closely with product groups, and Legal & Compliance, Platform Engineering, and Internal Audit teams to ensure compliance and internal controls.Toss Bank's Security Division is committed to securing electronic financial transactions for clients and providing a safe working environment for employees.Responsibilities You Will HaveManage and improve network security solutions (FW, DDoS, IDS/IPS, WAF, Suricata) to protect services and employee work environments.Monitor and respond to network attacks and anomalies in real-time, continuously reviewing, tuning, and optimizing detection policies and rules.Design stable network security architecture and lead the construction and enhancement of new systems.Enhance operational efficiency through automation, creating an environment where security personnel can focus on strategic tasks.Ideal Candidate ProfileExperience in building and operating network security solutions (FW, DDoS, IDS/IPS, WAF, Suricata).Ability to analyze network security events/logs and experience in understanding and responding to various attacks.A deeper understanding of enterprise security infrastructure beyond simple equipment operations, focusing on policy, permissions, assets, and risk-based operations.Experience or fundamental understanding of network security architecture design, as well as experience in network troubleshooting and packet analysis (e.g., using Wireshark).Please Include the Following in Your ResumeRather than listing projects, we recommend detailing your roles, contributions, and results with specific examples.If you have experience designing network security architecture, detecting/blocking intrusions through pattern/signature analysis, or participating in drills, please mention them.Especially if you have detailed experiences in building/operating network security solutions or troubleshooting, please describe them thoroughly.

About the Team You'll Join- The Infra Engineering Tribe is an engineering organization at Toss that designs and operates the network, systems, and infrastructure to ensure the stable operation of various Toss services.- The Systems Engineer team goes beyond mere maintenance; we fundamentally improve infrastructure structures, eliminate root causes of failures, and establish infrastructure strategies suitable for the introduction of new services and technologies.- Our goal is to ensure that all Toss services possess scalability and stability.The Challenges We're Tackling Together- We operate a large-scale on-premises infrastructure that reliably processes millions of financial transactions.- We design computing environments for diverse workloads (GPU, analytics, ML, etc.).- We analyze root causes during incidents and prevent recurrence through structural improvements.- We design and standardize service architectures that guarantee high availability and scalability.- We operate and optimize data infrastructures based on DW, Data Mart, and Data Lake.- We plan and internalize operational tools, automation, and monitoring systems.Your Responsibilities Upon Joining Us- You will design, build, and reliably operate on-premises-based infrastructure.- You will define issues in complex infrastructure environments and derive optimal solutions.- You will lead system improvements while collaborating with various teams such as data, platform, and security.We're Looking for Someone Who- Has experience operating large-scale Linux servers and network infrastructure.- Is proficient in quickly identifying issues and designing structural solutions.- Has experience in operational automation using scripts such as Python and Bash.- Has experience responding to incidents using open-source monitoring and logging tools.- Can effectively communicate and collaborate with diverse stakeholders. GPU and ML Infrastructure Experience- Experience operating and enhancing GPU Clusters (Slurm, Kubernetes, etc.) is a plus.- Experience supporting ML Ops environments with tools like Kubeflow, MLflow, Airflow is favorable.- Experience with scheduling, monitoring, and resource optimization for AI/ML workloads is advantageous. Data Infrastructure Experience- Experience operating Data Warehouses, Data Marts, and Data Lakes is a plus.- Experience managing distributed data processing infrastructure based on Hadoop and Spark is advantageous.- Experience designing and enhancing hardware for large-scale data processing systems is a plus.- Experience operating Kafka-based data pipeline infrastructure and responding to incidents is beneficial.# Resume Recommendations- Please provide detailed examples of at least two complex problems you defined and solved (focusing on root cause analysis, solution approaches, results, and infrastructure changes).- Detail the projects you contributed to (including project duration, role, technologies used, infrastructure structure, and improvements made).# Journey to Joining Toss- Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Acceptance and Onboarding.# A Message for Future Colleagues> "You can experience all aspects of being a System Engineer."- We are looking for individuals who can face complex problems, define them clearly, and solve them optimally. If you want to help innovate infrastructure at Toss, please apply now!

Join Normal Computing | Unlock Exciting OpportunitiesAt Normal Computing, we create cutting-edge software and hardware solutions that drive technological advancements, particularly in the semiconductor sector, AI infrastructure, and the systems that shape our future. Our collaborative team spans across New York, San Francisco, Copenhagen, Seoul, and London, working together to achieve remarkable goals.Your Impact:We are on the lookout for a passionate DevOps Software Engineer to architect and implement high-performance cloud infrastructure and services. This position presents a unique chance to directly engage in pioneering AI projects within one of the most critical industries — Semiconductors. While previous experience in AI Engineering or the Semiconductor field is appreciated, it is not a prerequisite.Crafting, developing, and managing infrastructure for Normal’s innovative products, automating the development lifecycle, and ensuring system reliability within our Linux environment.Partnering with product and AI teams to establish and enforce DevOps best practices.Deploying and overseeing Normal’s product stack in client environments.Engineering and executing Continuous Integration/Continuous Deployment (CI/CD) pipelines for software and data workflows, incorporating security measures and policy compliance.Implementing best practices for logging, monitoring, and alerting, managing credentials, and ensuring adherence to regulatory standards (e.g., SOC2).Executing ongoing improvements, maintenance, and upgrades across all of Normal’s infrastructure.

About UsAt Twelve Labs, we are on the hunt for talented individuals who are eager to shape the global standard for video understanding AI!We are developing cutting-edge AI models specifically tailored for video content, enabling advanced functionalities such as search, analysis, summarization, and insights generation from vast video datasets.Our technology is utilized by the largest sports leagues to swiftly and accurately identify highlights from extensive game footage, enhancing the personalized viewing experience. In South Korea, integrated control centers leverage our models to effectively analyze CCTV footage for rapid crisis response, while major global broadcasters and studios use our technology to create content for billions of viewers.As a deep tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We have raised over $110 million from renowned venture capital firms and companies such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model is uniquely offered through Amazon Bedrock in South Korea, and we are committed to creating innovative products alongside exceptional colleagues while growing with our global clientele.At Twelve Labs, we operate based on core values that include:Honesty and introspection towards oneself and the team.Resilience and humility in the face of failure and feedback.A commitment to continuous learning and elevating team capabilities together.If you enjoy solving challenging problems and growing alongside your team, this is the opportunity for you at Twelve Labs!Team OverviewYou will join the team responsible for the research and development of Marengo, our multimodal embedding model. This innovative model integrates various modalities, including video, audio, and text, into a unified embedding space.The team tackles diverse research topics, including contrastive learning, temporal video understanding, and multimodal representation learning. We oversee the entire model development process, from building large-scale learning data pipelines to designing model architectures, optimizing distributed learning, and creating evaluation frameworks. With access to top-tier GPU resources such as the NVIDIA B300, we can rapidly conduct large-scale experiments.In an environment with a short gap between research and production, we closely collaborate with the Search, Product, and Infrastructure teams to continuously enhance the quality of models used by thousands of clients worldwide.Role OverviewAs the ML Research Engineering Manager on the Marengo team, you will lead and develop the research engineering group responsible for Twelve Labs' multimodal embedding models. You will own the technical roadmap for the team and support the growth of its engineers.This is a player-coach role where you will manage a team of ML research engineers focused on model architecture, training infrastructure, and data pipelines while remaining technically engaged enough to make sound architectural decisions and assess research directions. We seek someone who has experience building and deploying production ML systems and is eager to amplify their impact by empowering their team.

Welcome to the journey of joining the Daangn team!At Daangn, we strive to create an environment where individuals can grow alongside the company's development.Our recruitment team is here to assist you in making the moment of collaborating with amazing colleagues a joyful reality. Introducing the Advertising TeamThe Advertising Team is responsible for the core advertising services that drive Daangn's revenue model. We operate an advertising platform targeting Daangn's 19 million monthly active users (MAU), providing effective advertising opportunities for both small businesses and large enterprises through localized advertising solutions. Our ongoing improvements can significantly impact advertisers' performance and Daangn's revenue, as we continuously evolve our services through data-driven decision-making and constant experimentation. The Advertising Team plays a pivotal role in balancing user experience with advertising effectiveness, ensuring we deliver useful and relevant ads while preserving Daangn's core values of community communication and transaction experiences. We develop various advertising formats and targeting options, leveraging machine learning technology to optimize advertising performance. Additionally, the team participates in crucial decision-making processes from an organizational perspective. Since ads are displayed across multiple app surfaces, we must consider not only ad performance but also the overall health of the service and user satisfaction. Therefore, we adopt a comprehensive approach that considers the needs of advertisers, user experience, and our business objectives. Within the Advertising Team, you'll engage in diverse tasks such as developing new advertising products, enhancing the advertising platform, analyzing and optimizing ad performance, and managing advertiser relationships. If you want to make an impact in a rapidly evolving advertising market grounded in innovative ideas and analytical thinking, the Advertising Team is the perfect choice for you. Learn more about the Daangn Advertising Team!Your ResponsibilitiesGrow into an expert handling large-scale advertising traffic.Daangn Market is a massive platform with 19 million MAU. Operating an advertising system reliably in this large-scale environment presents both challenges and opportunities. By joining the Advertising Team, you will work with systems that handle hundreds of millions of ad requests daily. You will learn how to respond to various issues that arise, enhancing your skills in building high-availability systems and practical problem-solving. Specifically, in the Serving Team, you will work with a Real-Time Bidding (RTB) system that demands millisecond-level response times, allowing you to acquire skills in designing and implementing ultra-low latency distributed systems. In the DSP Team, you will develop performance optimization and scalable architecture for processing large volumes of advertising data.Gain experience in data-driven decision-making and optimization.As a developer in the Advertising Team, you will handle vast amounts of user and ad performance data. You will have the opportunity to build and optimize pipelines for efficiently collecting, processing, and analyzing this data, enhancing your skills in big data processing technologies, data warehousing, and real-time data streaming. Additionally, you will gain hands-on experience applying machine learning models to real advertising systems, utilizing AI/ML technologies in areas such as user targeting, ad performance prediction, and real-time bid price determination to continuously improve the advertising system.Experience solving technical challenges in a continuously growing service.Daangn is in a constant state of growth. As such, the advertising system is continually expanding, with new features being added. You will experience evolving the system to accommodate various changes such as new ad product launches, expanded targeting options, and improved ad effectiveness measurement. For example, in the DSP Team, you'll be developing logic for new ad formats, integrating new data sources, and in the Serving Team, implementing new ad display methods, tackling various challenges that arise. Through this process, you’ll be able to learn about and apply the latest technological trends, significantly enhancing your technical capabilities.Design and operate microservices architecture directly.The Advertising Team adopts a microservices architecture, allowing you to design and implement independent microservices across different domains such as DSP, DMP, and recommendation systems. This experience will enable you to apply core concepts of microservices architecture, including inter-service communication, API design, and distributed transaction handling.

Welcome to the Daangn Team Journey!At Daangn, we are committed to creating an environment where individuals can grow alongside the company's success.Our recruitment team is here to help you engage in meaningful discussions with wonderful colleagues. Introducing the Notifications TeamThe Notifications Team plays a crucial role in shaping the user notification experience at Daangn. Notifications serve as the most powerful channel to reconnect users with the app outside of it. This direct interaction on the user’s phone lock screen can influence the behavior of our 20 million monthly active users. We are not just a team that sends notifications; we design the moments that bring users back to Daangn and guide them to their next actions.The notification experience goes beyond a single push notification. It can lead users directly to chatrooms or posts, and help them rediscover missed interactions within the app's notification center. While push notifications initiate actions, the notification center serves as a space to reconnect relationships and context. Our team collaborates to design these two experiences, fostering connections both inside and outside of Daangn.Daangn encompasses more than 15 services at different stages of growth, including second-hand trading, part-time jobs, real estate, and community forums. The Notifications Team develops a comprehensive experience that ensures notifications reach users meaningfully and translate seamlessly into actions.We are currently moving beyond traditional formulas to discover new strategies for Daangn's next growth phase. In our small team, engineers contribute to defining problems, proposing directions, and designing experiments that shape the future of our products.Your ResponsibilitiesRedesign the notification center to enable users to quickly grasp and act on notifications from over 15 services, focusing on list structure, grouping, read/unread status, personalization, and filtering.Implement seamless entry experiences for users who tap on push notifications, guiding them to appropriate contexts like chatrooms, posts, or specific service pages.Develop the frontend for tools that precisely target and manage notifications based on user segments, banners, and event flows, creating a foundation for faster experimentation.Collaboratively build an experimental environment to measure click-through rates, conversion rates, and incremental effects, enabling rapid A/B testing.Work closely with PMs and designers to provide input on product direction based on technical feasibility and constraints.We Are Looking ForIndividuals with over 3 years of frontend development experience.Experience in developing mobile webview applications.A strong commitment to delivering high-quality user experiences.Ability to understand product goals and context, and to collaboratively explore better solutions beyond just implementation.Flexibility to adapt in a fast-paced environment requiring rapid experimentation and iteration.Additional Preferred QualificationsExperience developing frontends for user communication channels such as push notifications, in-app messages, and notification centers.Familiarity with building A/B testing infrastructure or experience in experimental development cycles.Experience utilizing design systems or component design.Experience building platform frontends that integrate with various services.Experience in performance optimization, loading strategies, and list rendering in large-scale user environments.Additional InformationFor full-time positions, there is a 3-month probation period.We prioritize the hiring of individuals with disabilities and veterans as per the 'Act on the Promotion of Employment of Persons with Disabilities' and 'Act on the Honorable Treatment and Support of Veterans'.Application Process1. Document screening → 2. Video interview (live coding test) → 3. Job interview → 4. Culture fit interview and reference check → 5. Negotiation → 6. Final acceptance and onboarding

Key ResponsibilitiesEstablish signal integrity (SI) and power integrity (PI) requirements in accordance with IP and system-level specifications.Conduct SI/PI simulations across electromagnetic (EM), circuit, and system domains.Create innovative SI/PI methodologies to support advanced packaging technologies including chiplet, 3D-IC, die-to-die (D2D), and chip-to-chip (C2C) interfaces.Execute comprehensive SI/PI analysis and optimization at a full system level, encompassing on-chip, package, and PCB environments.Offer expert design guidance on stack-up, interconnect routing, power distribution network (PDN) architecture, decoupling strategies, and component selection.Collaborate with silicon, packaging, and board teams to ensure accurate measurement-simulation correlation and ensure system-level robustness.Assist with debugging and lab bring-up activities as required.Engage with internal teams and partners to co-optimize SI/PI solutions.

Join the Frontend Chapter at Toss Securities!We are developing mobile and desktop products using modern web technologies, including services for Android and iOS app web views and back-office operations.Our goal is to provide a sleek investment experience that makes complex investment products accessible to everyone while leveraging optimal engineering techniques to display real-time data seamlessly.About the TeamCollaborate with Platform Designers to define what constitutes an excellent UX for Toss Securities services.Assist designers in creating high-quality UX designs and develop tools that simplify implementation for developers.Your ResponsibilitiesDevelop and maintain the design system utilized in Toss Securities services.Establish principles and structures that ensure the design system provides consistent and scalable interfaces.Define UX rules such as responsive design, keyboard usability, and loading experiences to ensure comfortable use across all environments.Create a “Design Linter” that allows designers to receive suggestions for improved UX directly in design editor tools.

#LI-DNIAbout the Team You Will JoinThe Data Engineers at Toss are part of the Data Platform team.The Data Platform team operates and supports the data and related platforms needed across all Toss services.This team consists of members with 2 to 18 years of experience, bringing diverse backgrounds from portals, banking, gaming, and startups.In our team, you are encouraged to explore various roles depending on your interests and willingness, fostering a collaborative atmosphere where knowledge and expertise are freely shared.Your ResponsibilitiesDevelop and manage stable and efficient data pipelines (ingestion, storage, streaming).Contribute to Toss services by processing large-scale data in real-time.Develop and maintain tools for a stable and efficient data experimentation/analysis environment for your colleagues.Create various data service applications for data analysis and platform operations.Ideal Candidate ProfileYou have experience in developing data pipelines for large-scale data processing (collection/processing/analysis).You are experienced with large distributed systems (Hadoop, HBase, Kafka, Spark, Flink, etc.).You possess software development skills for building data applications (Java, Scala, Python, etc.).You have intermediate or advanced programming capabilities (web/client/server programming).Experience in developing recommendation/advertising/machine learning-related services is a plus.Please Highlight the Following in Your ResumeDetail the challenges you have faced, the technologies you used, and how you solved problems rather than just listing programming languages or frameworks.Experience with platforms similar to Toss is beneficial, but we focus more on your growth potential and problem-solving abilities, so please share relevant examples.If you've resolved critical issues while operating a platform or optimized performance and system resource usage, please include that experience.Experience resolving bugs or issues in open-source software or developing missing features is also valuable.Your Journey to Joining TossApplication submission > Job interview > Cultural fit interview > Reference check > Compensation discussion > Final acceptance

Join the Technical Solutions team at Datadog, where we are the in-house experts dedicated to empowering potential clients and ensuring the satisfaction of our current customers. Our mission is to facilitate Datadog's global expansion through education and exceptional support. As a member of our team, you'll engage with customers using various channels, including ticketing systems, live chats, and screensharing tools, to resolve technical issues and enhance their experience with our platform.At Datadog, we value a collaborative office culture that fosters creativity and strong relationships. Our hybrid workplace model allows Datadogs to achieve a work-life balance that suits their individual needs.

Join Our Dynamic Team! As a DevOps Engineer at Toss, you will be part of our SRE and DevOps team, collaborating closely with Server Developers. Your role will revolutionize the deployment process, utilizing various technologies and tools to empower developers to deploy services efficiently. In the event of incidents, you will identify root causes through insightful metrics, helping to create a robust system enabling all developers to respond swiftly to issues. By leveraging Kubernetes and the Cloud Native ecosystem, you will enhance large-scale systems. Key Responsibilities: While last year focused on improving operational efficiencies, we are now concentrating on removing bottlenecks that hinder developer experiences. You will handle monitoring, incident response, and troubleshooting tasks. Continuously analyze and enhance the developer experience and oversee the development and operations of processes. Who We Are Looking For: Experience in container orchestration is highly desirable due to the nature of the role. We seek individuals with a proven track record in network troubleshooting, as it is a critical area. Experience in automating engineering processes or creating tools for improvement is essential. At Toss, collaboration is key; therefore, the ability to identify and eliminate inefficiencies based on your engineering experience is crucial. Resume Recommendations: Detail your experience with Kubernetes and Istio-based infrastructure management. Share your expertise in establishing and operating metric systems in large distributed environments. Include your experience with container-based services and CI/CD server management. Highlight any experience with AWS cloud services. Technologies We Use: Java Spring Framework, JPA/Hibernate, Gradle Jenkins, Git, Docker, Kubernetes + Istio Kafka, Elastic, InfluxData, Grafana, Memcached Your Journey with Toss: Application submission > First-round technical interview > Second-round technical interview > Cultural fit interview > Reference check > Compensation negotiation > Final offer and onboarding.

Key ResponsibilitiesEstablish, strategize, and execute comprehensive verification plans at both block and system levels.Draft and assess test plans, while developing effective test harnesses and sequences.Ensure the successful completion of the design verification process by achieving predefined metrics related to the test plan, functional coverage, and code coverage.Engage closely with the Design team to troubleshoot, identify root causes, and rectify functional discrepancies within the design.Work collaboratively with cross-functional teams, including Design, Modeling, Emulation, and Silicon Validation, to uphold the highest standards of design quality.Essential QualificationsBachelor's degree in Electrical Engineering, Computer Science, or a related technical discipline.Over 5 years of hands-on experience in block and system level verification employing SystemVerilog/UVM methodologies.Demonstrated expertise with Electronic Design Automation (EDA) tools and proficiency in scripting languages such as Python, Perl, or Shell for verification tool development.Experience in architecting and implementing Design Verification infrastructure, encompassing the entire verification cycle from planning to successful closure.Desirable QualificationsMaster’s degree in Electrical Engineering, Computer Science, or a closely related technical field.Proficiency in creating UVM-based verification environments from the ground up.Expertise in developing Python-based verification environments, including tools like cocotb.Experience in IP or integration verification for high-speed interfaces such as PCIe, UCIe, UALink, and Ethernet.Familiarity with verifying ARM/RISC-V-based sub-systems or SoCs.Strong programming capabilities in Python.Exceptional written and verbal communication skills.Contact InformationFor inquiries, please reach out via email: recruit@furiosa.ai

Join us at the forefront of agentic AI, where you'll be part of a team that builds intelligent systems capable of deep understanding. At Sendbird, we are not just developing prototypes; we are deploying AI solutions at scale that genuinely think and adapt.About SendbirdSendbird is committed to shaping the future of AI-driven customer interactions. With over a decade of experience in creating robust infrastructures for chat, voice, video, and messaging APIs, we've established ourselves as the leading CPaaS platform for in-app communications. Trusted by over 4,000 brands and facilitating 7 billion messages monthly, we connect 300 million active users.Our clients include industry leaders like DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. Our track record speaks for our expertise and excellence.Recognizing the transformative potential of AI in customer communication, we pivoted to an AI-first strategy in December 2024, launching our AI agent for enterprise customer experience by February 2025. Our rebranding to Delight.ai in November 2025 encapsulates our mission: to not just enhance efficiency, but to restore the essence of personalized service—creating delightful experiences for customers.About Delight.aiDelight.ai acts as the AI concierge for customer interactions, ensuring continuity and understanding across various channels. Unlike other AI agents, our solution retains memory, learns individual preferences, and maintains context—delivering a truly personalized experience.Why Join as a Senior Software Engineer, AI Agent?In an industry filled with superficial solutions, Sendbird's AI Agent platform stands out for its robustness, scalability, and genuine intelligence. This is not just maintenance work; you'll shape the core platform, designing orchestration, RAG pipelines, evaluation, and observability that will impact millions of customer interactions for years to come.

Who We AreJoin us in setting global standards for video understanding AI! Twelve Labs is dedicated to developing cutting-edge AI models specifically for video content, enabling efficient processing of vast amounts of video data. Our technology offers advanced capabilities for search, analysis, summarization, and generating insights from video.Our models are utilized by the largest sports leagues worldwide, quickly and accurately selecting highlights from extensive game footage, providing a hyper-personalized viewing experience. In South Korea, integrated control centers partner with us to efficiently analyze CCTV footage for rapid crisis response. Major broadcasters and studios across the globe leverage our models to create content for billions of viewers.Headquartered in San Francisco with an office in Seoul, Twelve Labs is a Deep Tech startup recognized for four consecutive years as one of the Top 100 AI Startups by CB Insights. We have secured over $110 million in funding from leading venture capital firms and corporations, including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI models are uniquely available through Amazon Bedrock, and we thrive on innovation and collaboration with exceptional colleagues worldwide.At Twelve Labs, we operate on core values that include:Honesty and reflection about ourselves and our teamsResilience and humility, embracing failure and feedbackA commitment to continuous learning and enhancing team capabilitiesIf you enjoy tackling challenging problems and growing through the journey, the opportunity awaits you here at Twelve Labs.About the TeamOur ML Data team operates on the belief that data determines AI model performance. We build high-quality data for training and evaluating multimodal AI models end-to-end. This includes gathering, filtering, processing, and labeling various types of multimodal data such as video, images, and audio. We collaborate with diverse teams to design datasets that unlock new model capabilities and develop evaluation datasets that reflect real user experiences. We also develop and continually enhance internal tools to perform these processes efficiently.The ML Data team plays a pivotal role in the development of Twelve Labs' world-class video understanding models through a meticulously designed data pipeline.About the RoleAs a Software Engineer specializing in Data, you will design and develop pipelines for multimodal (video, image, audio) data that fundamentally enhance model performance through data quality. If you have experience designing and operating distributed systems for handling unstructured multimodal datasets, you can make a significant impact in this position. The rigorously refined and accurately labeled data forms the foundation of all model development at Twelve Labs, and you will have the opportunity to influence model quality more than any other engineering role.We are looking for someone to help us build data infrastructure that elevates our video understanding technology to the next level.In this Role, You WillBuild data engines capable of collecting, preprocessing, refining, filtering, and labeling large multimodal (video, image, audio) datasets for LLM/VLM training.Design and develop data systems that efficiently manage and visualize petabyte-scale video, image, and audio data.Create libraries and services that deliver tangible impact beyond just eye-catching features.Collaborate closely with various teams to define project priorities and goals, leading technical initiatives from planning through development and operations.

The Network Engineer role at Toss is part of the Infra Engineering Tribe in Seoul. This team collaborates with System Engineers and InfraOps Engineers to deliver infrastructure that keeps Toss services reliable, fast, and secure. The work supports Toss’s mission to advance financial technology and innovation. Role overview Build and manage network infrastructure for a range of Toss services. Develop and operate monitoring systems to ensure smooth network operations. Optimize network performance, addressing issues to maintain high service quality. Requirements Less than 5 years of experience in network construction. Strong understanding and hands-on experience with L2/L3 data center networks. Demonstrated initiative to improve networks and expand technical skills. Familiarity with TCP/IP and troubleshooting based on it is preferred. Experience working with others to identify and resolve network issues is valued. Experience with IPSEC VPN and L4 (SLB) is a plus. Knowledge of traffic or log monitoring using open source tools is advantageous. Resume tips Describe two memorable cases where technical issues were resolved, such as optimizations or bug fixes. Highlight project contributions, specifying your role, the technology stack, and improvements made before and after your involvement. Hiring process Application submission Job interview Cultural fit interview Reference check Salary negotiation Final acceptance and onboarding

Toss Securities is seeking an IDC Infrastructure Engineer (Network & System) to help build and maintain the backbone of our data center operations in Seoul. This position focuses on ensuring the stability, efficiency, and continuous improvement of our large-scale infrastructure, covering everything from network design to physical equipment and operational processes. The role is primarily based at our modern data center (IDC), working closely with a team of network and system engineers. What you will do Design hardware architectures for network and server infrastructure, including equipment selection and implementation standards. Develop data center network architectures (such as Spine-Leaf and redundancy) and server/storage configurations. Define technical standards for bandwidth, NIC specifications (10G/25G/100G/400G), cabling (OM, LR/SR, MPO), and switch port setups. Plan physical infrastructure, taking into account rack space, power, and environmental needs. Set and manage organization-wide standards for equipment models, firmware, and configuration templates. Install, configure, and operate servers, storage, and network equipment on site, driving ongoing improvements. Oversee equipment transport, installation, and relocation, ensuring quality and safety throughout the process. Coordinate with contractors for cabling and equipment setup, maintaining technical standards and quality control. Monitor the IDC environment (power, temperature, network, equipment status) and respond proactively to anomalies. Lead first-level incident response and root cause analysis, working to prevent recurrence and resolve complex issues across network, system, and physical layers. Manage the lifecycle of IDC assets, ensuring data integrity and optimizing long-term operational plans for capacity, power, and space. Collaborate with colocation service providers and partners to manage schedules, quality, and costs. Automate repetitive operational tasks, such as firmware upgrades and configuration deployments, and build monitoring/CMDB integrations using SNMP and REST API. Establish and refine operational standards, procedures, and policies for ongoing efficiency. Requirements At least 5 years of experience in data center (IDC) or infrastructure design and operations. Experience designing data center network architectures (Spine-Leaf, redundancy, etc.). Understanding of server/storage hardware and operating systems (Linux, Windows, Hypervisor). Ability to design at the hardware level, with knowledge of NICs, cabling, and switch ASICs. Experience with IDC space planning, rack layout, power, and space design and operations. Background in large-scale equipment installation, relocation, and asset management within IDC operations. Problem-solving skills that address both physical and logical aspects of incidents. Strong communication skills for effective collaboration with contractors and internal teams. Experience with equipment implementation proof-of-concept (PoC), vendor evaluation, and performance validation. Proven ability to create infrastructure standard documents, such as design guides and operational procedures.

At Sendbird, we merge omnichannel AI with world-class, validated communication APIs to empower businesses in creating AI agents that enable meaningful customer connections at scale.Sendbird offers solutions with enterprise-level stability, security, and compliance. Over 4,000 leading global apps, including DoorDash, Match Group, Noom, and Yahoo Sports, trust Sendbird, facilitating over 7 billion conversations monthly through our platform.To date, we have raised a total of $220 million in funding from top-tier Silicon Valley investors, including ICONIQ, SoftBank, Tiger Global, and Y Combinator, and we are the first global unicorn company in Korea with a valuation exceeding 1 trillion won. Our headquarters in San Mateo, California, along with R&D centers and offices in Seoul, APAC, New York, London, Singapore, India, and Canada, reflect our global reach.Internship Opportunity: AI Agent EngineerThe AI Agent Engineering Intern will collaborate with engineering and product teams to build, integrate, and deploy intelligent agents. Throughout the internship, which lasts between 8 to 12 weeks, you will gain hands-on experience from prototyping to production using the latest web frameworks, LLM APIs, and tooling pipelines.Key Responsibilities:Agent Prototyping and DevelopmentDevelop micro-APIs for tasks such as hallucination detection and conversation resolution through prompt engineering.Test and validate the accuracy of AI agents using internal datasets and tools.Integrate backend APIs that support retrieval-augmented generation (RAG), knowledge bases, and custom toolchains.Prompt Engineering and ToolingCreate, test, and fine-tune prompts for various use cases.Establish CI/CD pipelines for prompt versions and agent deployment.Integration and DeploymentEmbed agents into web, chat, and API-centric environments.Implement observability features like logging and dashboards to monitor real-time performance metrics.Collaboration and DocumentationFacilitate close collaboration among team members, including senior engineers, product managers, and UX designers.Ideal Candidate:Proficient in Python with experience in writing clean and maintainable code.Hands-on experience in backend development using server-side frameworks like Django, FastAPI, or Express.Excellent communication skills and experience in collaborative environments, especially in agile teams.Preferred Qualifications:Experience with prompt engineering frameworks (e.g., LangChain).Understanding of cloud platforms (AWS Lambda, Vercel, GCP Cloud Functions).Experience in AI product-related UX design or product management.Familiarity with Django or similar Python web frameworks.What You Will Gain:Deep insights into cutting-edge agent-based AI development and system deployment.Cross-functional collaboration with engineering, product, and design experts.Mentoring from senior AI engineers, with opportunities for full-time transition.Experience with real customer use cases, performance tuning, and production-grade tool utilization.Flexible Work PolicySendbird supports flexible working schedules. Given the importance of collaboration and teamwork, all team members work together in the office at least three days a week. Some roles may require more frequent office attendance, so please discuss specific requirements with your manager.

Join our innovative team at Toss Payments as a Data Engineer, where you'll play a crucial role in building and optimizing our data infrastructure. You will work with cutting-edge technologies, collaborating with cross-functional teams to drive data-driven insights and solutions. Your expertise will help us enhance our payment systems and improve user experiences.

# About the Team- Join us in enhancing customer experiences using data and machine learning within the Toss Commerce domain.- Toss consists of multiple domains, each operating as a complete business, including Commerce, Pay, Financial Marketplace, Ads & Benefit, Foundation, and Growth.- The Commerce domain has been the fastest-growing segment of Toss.- Initially launched to activate Toss Pay and expand transaction volumes, Toss Commerce has since introduced Toss Shopping and seller admin services, along with shopping ad services, providing new value to both users and sellers.- Within the Commerce domain, various teams operate like startups, including Shopping Silo, Shopping Platform Team, Shopping Ads Silo, and Commerce Business Team.- As we move into 2024, we plan to lay the groundwork for significant growth by launching diverse features within Commerce.- **Curious about Toss's Data Organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)