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Location: Shanghai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, The Hut Group, Sony Electronics, Sainsbury’s, Deliveroo, Adidas, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how. We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow. JOB DESCRIPTION Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a software engineer, you will work on a specific project critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in .NET C#, Java, Go, or Python, with a strong understanding of software development principles. in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence. WHAT YOU'LL DO - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript - Engage directly with customers to understand their needs and translate them into actionable product improvements WHAT YOU'LL BRING - Experience managing or tech-leading teams delivering complex full-stack products - Strong technical background in Go/Python and React/Typescript - Solid understanding of databases (Postgres, Redis and ClickHouse) - Proven ability to design high throughput data-intensive systems - Bias towards shipping quickly and learning from customers - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms - Annual salary range: $200,000- $250,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Задачи: — Руководство стратегией строительства, полевым исполнением, бюджетом, графиком, безопасностью и качеством для крупных инфраструктурных проектов. Требования: — Опыт работы с объектами дата-центров, контрактными переговорами, безопасностью, управлением рисками, бюджетированием, подключением коммунальных услуг, соблюдением Grid code, OSHA. — Знание управления строительством, QA/QC, вводом в эксплуатацию, подстанциями, планированием, стандартами NFPA, NEC, генерацией электроэнергии, EPC, стандартами IEEE. Условия: — Работа в офисе в Point Pleasant, WV. — Годовая зарплата от $230,000 до $410,000.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. Want to know what you’ll be doing? You will work on our data infrastructure platform which supports the B2 Object Storage and Computer Backup products, responsible for the data infrastructure that everything runs on. You will help improve automation, observability and stability for durability, increase throughput, and drive architectural changes to support the long term requirements of our service. Responsibilities: Design and build automation frameworks that let other engineers provision, configure, and repair fleet infrastructure themselves Design and extend the observability stack (metrics, logs, traces, alerts) that tells us whether the storage platform is healthy and where it is degrading Build reporting, dashboards, and visualizations that give engineering and leadership a clear view into fleet health, capacity, and operational trends Build system health tooling that detects failing hardware, drifting configuration, and capacity risk before they turn into incidents Lead technical design discussions and produce clear design documents for changes that span multiple services and teams Drive the implementation of large features from design through rollout, including the migration and backfill work that real systems require Partner with the on-call rotation to turn recurring toil and incident findings into automation and better signal The Right Fit: 7+ years of backend development in an enterprise environment, working in an object-oriented or systems language (Java, Rust, C++, C#, Go, or similar) Experience designing automation frameworks or platforms that other engineers build on Experience building large scale software systems running on thousands of servers Experience building automation or tooling that other engineers depend on daily, whether internal platform services, operational tooling, or a deployment and configuration pipeline Working knowledge of an observability stack (Prometheus, Grafana, OpenTelemetry, ELK, Datadog, or equivalent), including instrumenting a service and designing alerts people trust Strong Linux fundamentals and comfort operating in a bare-metal or hybrid environment rather than a fully managed cloud Professional experience incorporating AI-assisted development tools (Gemini, Cursor, Claude Code, or similar) Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout Exhibits curiosity and seeks to understand before offering solutions Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward Applies analytical thinking to ambiguous problems Bonus points for: Proficiency in Java Experience with configuration management or infrastructure-as-code tooling (Ansible, Salt, Puppet, Chef, Terraform) Experience designing SLOs and error budgets, or reducing alert noise on a fleet running at scale Experience with time-series databases and query languages such as PromQL Experience automating hardware lifecycle work: burn-in, failure detection, drive replacement, decommissioning Experience with discovering and implementing performance improvements, including CPU and IO Understanding of Linux internals and file systems Familiarity with hard drive performance and optimization, including host-managed SMR Experience building and interpreting models, dashboards, or reports Required for all Backblaze Employees: Good attitude and willingness to do whatever it takes to get the job done Strong desire to work for a small, fast-paced company Desire to learn and adapt to rapidly changing technologies and work environment Rigorous adherence to best practices Relentless attention to detail Excellent interpersonal skills and good oral/written communication Excellent troubleshooting and problem solving skills Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $175,000 - $200,000 At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Corporate Security Automation Engineer at OnePay, you will lead the design, implementation, automation, and optimization of our corporate security infrastructure. You will enhance security controls, align goals with business objectives, and drive automation and self-service capabilities to maintain a strong security posture in a rapidly scaling environment. - Work with IaC tools like Terraform to ensure enterprise configurations are steady, change-managed and machine-readable. - Design and deploy endpoint security measures aligned with industry standards, including vulnerability management. - Ensure a strong security posture for corporate SaaS applications by configuring vendor capabilities or building automations to meet OnePay standards. - Mature and manage data protection controls, including Data Loss Prevention (DLP) tools and secure data handling processes. - Build secure methods for sharing data with internal teams and external partners. - Collaborate with IT, Infrastructure, and Security teams to implement security measures, maintain critical corporate systems (ensuring availability and compliance), and drive process improvement through automation. - Develop and run incident response and disaster recovery plans, including tabletop exercises. YOU BRING - 5+ years of IT experience, including 3+ years in enterprise security within cloud environments. - Expertise in IaC tools like Terraform (preferred), Puppet, Chef or Ansible. - Proven ability to lead projects, drive measurable security improvements through automation, leveraging scripting (Python, Go, and/or TypeScript). - Solid understanding of networking, authentication standards, and security frameworks (MITRE ATT&CK, NIST CSF, CIS benchmarks), with hands-on experience in ZTNA and DLP solutions (e.g., Netskope, Zscaler). - Skilled at simplifying technical concepts for non-technical audiences and influencing decisions. - Experience with workflow automation tools like n8n is a plus. TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Dallas, United States; Texas City, United States Location: Remote, U.S. (Dallas-Fort Worth area preferred) Employment Type: Full-Time Travel: Approximately 20% domestic travel required About the Opportunity Join a fast-growing clean-energy technology company developing advanced thermal energy storage solutions for commercial, industrial, and mission-critical facilities. This role will focus on integrating high-impact chilled-water and cooling-plant systems that help improve data center capacity, energy efficiency, resiliency, and grid stability. We are seeking a Senior Mechanical Systems Engineer with strong HVAC, hydronic, and chilled-water expertise to lead mechanical integration projects from design through commissioning across the United States. What You’ll Do Lead the mechanical design and integration of thermal energy storage and chilled-water systems. Develop and review P&IDs, hydronic piping layouts, equipment arrangements, valve schedules, and controls integration interfaces. Perform hydraulic and pipe-stress analyses and support code-compliant engineering documentation. Integrate systems with chillers, cooling towers, heat exchangers, pumps, and BAS/BMS platforms. Collaborate with data center operators, MEP firms, contractors, design engineers, controls integrators, and commissioning teams. Support site surveys, startup, commissioning, and functional testing activities. Provide technical input for presales efforts, proposals, and RFP responses. Create or apply automation tools, such as Python or Excel/VBA, to improve engineering analyses and documentation. Partner with global R&D and product teams to refine system designs and deployment methods. Mentor junior engineers as the engineering team expands. What We’re Looking For Bachelor’s degree in Mechanical Engineering; PE license preferred. 5+ years of experience in HVAC, chilled-water systems, or energy infrastructure. Strong knowledge of hydronic systems, thermodynamics, cooling plants, and BAS/BMS integration. Experience coordinating work across mechanical, controls, and electrical disciplines. Proficiency with AutoCAD, Revit, Plant 3D, or similar design tools. Familiarity with commissioning, startup, and field-execution processes. Ability to travel domestically up to 20% of the time. Requirements Bachelor’s degree in Mechanical Engineering; PE license preferred. 5+ years of experience in HVAC, chilled-water systems, or energy infrastructure. Strong knowledge of hydronic systems, thermodynamics, cooling plants, and BAS/BMS integration. Experience coordinating work across mechanical, controls, and electrical disciplines. Proficiency with AutoCAD, Revit, Plant 3D, or similar design tools. Familiarity with commissioning, startup, and field-execution processes. Ability to travel domestically up to 20% of the time. Preferred Qualifications Experience in data centers or other mission-critical facilities. Exposure to thermal energy storage systems. Familiarity with data-center cooling architectures, including air-side and water-side economization. Experience with industrial refrigeration or low-temperature glycol systems. Knowledge of ASHRAE, ASME B31.3, IPC, NEC, and applicable U.S. building codes. Experience with hydraulic or pipe-stress analysis software, such as Pipe-Flo or AutoPIPE. Familiarity with energy/load modeling tools, including TRACE or HAP. Experience using Python, VBA, Dynamo, or AI tools to automate engineering workflows. Experience preparing technical narratives, proposals, or RFP responses. Background in retrofit projects, operational facilities, or fast-growth environments. Benefits Work on advanced clean-energy infrastructure supporting the fast-growing data center market. Combine hands-on field execution with sophisticated engineering design. Contribute to high-visibility, mission-critical projects with meaningful environmental impact. Build a path toward technical leadership within a growing engineering organization. Receive a competitive compensation package including base salary, bonus potential, benefits, and stock options. Military veterans are encouraged to apply; leadership and field-operations experience are highly valued.

Location: Kazakhstan; Thailand; Vietnam; Serbia; Georgia; Uzbekistan We are looking for a Python Developer to join a team that develops an internal analytics platform and builds AI solutions to automate the work of analysts and data engineers. You will work on backend services and analytics tools, integrate LLMs into existing products, and gradually take part in developing AI agents. This role is not only about AI development. It also includes regular backend tasks and working with frontend features. What You Will Do Develop and improve Python backend services for the internal analytics platform. Build features for analytics tools, admin interfaces, and services for data engineers. Integrate LLMs with databases, APIs, and analytics interfaces. Take part in developing AI agents for data analysis, generating SQL from natural language requests (Text2SQL), and automating routine tasks. Work on frontend features using React. Design APIs and integrations, take part in architecture discussions, and help choose technical solutions. Adapt open-source solutions to the platform's needs, write tests, and take part in code reviews. Requirements More than 3 years of commercial experience in Python backend development. Experience with React or a willingness to learn it quickly. Experience building backend services, APIs, and integrations between systems. Knowledge of SQL and experience with relational databases, such as PostgreSQL. Understanding of application architecture, design principles, and common development patterns. Interest in LLMs and AI agents, understanding of the basic principles behind language models, and willingness to use them to solve practical problems. Active use of AI tools in development and the ability to critically evaluate their results. Ability to work independently, take a structured approach to solving problems, and learn existing codebases and new technologies. Nice to Have Experience integrating LLMs through APIs or using AI frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen. Familiarity with vector databases such as pgvector, ChromaDB, or Qdrant. Experience with analytical databases and data warehouses such as ClickHouse, Greenplum, or Vertica. Familiarity with S3-compatible object storage, such as Ozone S3. Experience building admin interfaces, internal tools, BI solutions, or analytics dashboards. Experience with Docker, CI/CD, and service monitoring tools. Experience adapting and extending open-source solutions. English Proficiency: сonversational English at B1 level or above. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: emergingtravel.com/career/hr-policy

Location: Ukraine; Armenia; Azerbaijan; Georgia; Tajikistan; Kazakhstan Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a .NET MAUI Developer (Part-Time) to join our team and provide exceptional customer support. Responsibilities Review the existing codebase, dependencies, and build configurations. Upgrade the application from .NET MAUI 8 to .NET MAUI 10. Resolve build and runtime issues on Android and iOS. Identify and address compatibility issues in NuGet packages, native integrations, and platform-specific code. Collaborate with QA to investigate regression results and reproduce defects introduced or exposed by the upgrade. Estimate and implement approved fixes required for release readiness. Document migration changes, unresolved issues, technical risks, and release prerequisites. Support the migration of an additional mobile application if approved. Requirements Strong commercial experience with C# and .NET MAUI. Proven hands-on experience upgrading existing production applications between major .NET/MAUI versions. Experience building and debugging MAUI applications for both Android and iOS. Ability to troubleshoot dependency conflicts, build failures, runtime crashes, and platform-specific regressions. Experience with mobile application signing, packaging, and release preparation. Ability to assess an unfamiliar codebase, identify technical risks, and provide realistic estimates based on code review. Ability to work independently and communicate findings clearly, including the distinction between a successful build and a release-ready application. English level: B2 (Upper-Intermediate) or higher. Nice to have Experience migrating applications from .NET MAUI 8 to .NET MAUI 10. Experience maintaining applications previously migrated from Xamarin.Forms. Familiarity with Azure DevOps and mobile CI/CD pipelines. Experience with App Store and Google Play submissions.

разработка бэкенда на Python в рамках проекта ГигаПульс.

разработка back-end части автоматизированной системы с учетом требований безопасности, отказоустойчивости, времени отклика и т.п.

Поддержка и эксплуатация высоконагруженной инфраструктуры Java-приложения на WebLogic. Администрирование и настройка Nginx и HAProxy: балансировка нагрузки, управление маршрутизацией, ограничение RPS для потребителей, переключение трафика между ветками.

Разрабатывать веб-интерфейсы: как внутренние системы (админ-панели, аналитические дашборды, тяжелые таблицы), так и внешние клиентские продукты с фокусом на UX/UI, плавные анимации и внимание к деталям. Проектировать масштабируемую архитектуру клиентского приложения с четким разделением UI, бизнес-логики и работы с API.

Разрабатывать, дорабатывать и сопровождать решения на платформе 1С:Предприятие 8.3. Коммерческий опыт разработки на 1С:Предприятие 8.3 от 5 лет, работа с крупными нагруженными базами.

Разработка и развитие локальной функциональности АБС ЦФТ-Банк с использованием Админ 2.0. Проработка и реализация технических решений для сложных задач локальной разработки.

Строить и проверять evals для AI-агентов: собирать тестовые наборы, считать метрики качества, искать систематические ошибки модели. Анализировать выходы агентов: распределения признаков по компаниям и отраслям, расхождения между прогонами, аномалии.

Обеспечивать качество (Testing), писать и актуализировать unit- и интеграционные тесты для наших AI-продуктов, повышая общую надежность системы; Поддерживать актуальность (регулярно мониторить и обновлять версии библиотек, устранять уязвимости в зависимостях);

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Infrastructure team builds the foundational inference systems that sit at the core of Figma’s AI products. Our team is responsible for ensuring products like Figma Make and Figma Agent are highly reliable, easily observable, and can seamlessly leverage the latest cutting-edge models. Our team owns critical production services like our AI gateway, metering systems, and trace infrastructure, as well as our strategy for hosting first-party models. This role is an opportunity to join a rapidly-growing team at the ground floor and directly contribute to our core AI platform. We’re looking for a hands-on engineering leader to support & grow our team, define & execute on our technical strategy, and collaborate with teams across engineering to build best-in-class AI features. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products. Partner with engineering and product leaders from across Figma to define the team’s technical strategy and manage the day-to-day project execution. Hire, coach, and develop senior and staff engineers to scale the team. Roll up your sleeves to engage deeply with technical details and decisions as needed in order to help the team deliver on a robust AI platform with urgency. Build an inclusive team and culture through thoughtful team-building and hiring practices. We’d love to hear from you if you have: 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space. 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor. Experience working on production AI systems. A proven track record of motivating, mentoring, and growing experienced AI engineering leads. Demonstrated experience learning new AI technologies quickly building technical depth in a new domain. Experience building and scaling engineering teams and org structure as they grow. While it’s not required, it’s an added plus if you also have: Experience building AI agents, agent harnesses/loops, or LLM/agent tooling platforms. Experience building high-scale production infrastructure (e.g., traffic/inference systems, metering, anti-abuse and billing systems). A background in adjacent platform domains, like recommendation systems or networking. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United States; Bulgaria; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Every model we train runs on infrastructure this role owns. We operate NVIDIA GPU clusters across bare metal and rented capacity, and we're looking for an engineer to join our small research infrastructure team and make that compute fast, reliable, and boring - in the best sense. When the clusters just work, research moves faster. Your impact is measured directly in training throughput and researcher velocity. This is a builder-operator role with real breadth: one week you're writing automation that eliminates a whole class of manual work, the next you're benchmarking a new provider's InfiniBand fabric or on-site bringing new hardware online. You'll have unusual scope and autonomy - we're a lean team where decisions are made by the people closest to the problem. WHAT YOU’LL BE DOING - Operate and improve our GPU fleet end to end: provisioning, scheduling, monitoring, upgrades, capacity planning - Build automation that keeps the fleet healthy without human intervention — node health checks, automated draining and remediation, burn-in pipelines for new capacity - Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE) - Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast - Build and maintain high-performance storage for datasets and checkpoints - Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs — and fix the class of problem, not just the instance - Evaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs - Hands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors - Keep clusters secure by default: access control, network isolation, secrets REQUIREMENTS - Have run large-scale Linux server or GPU environments in production and enjoy both building and operating - Know the NVIDIA stack well — drivers, CUDA, NCCL, DCGM — or have deep systems experience and learn hardware stacks fast - Are comfortable with bare-metal environments, server hardware, and high-speed networking - Write solid automation in Python and/or Bash, with IaC tools like Ansible or Terraform - Are happy digging into noisy data (metrics, logs, PromQL) to find what's actually wrong - Like owning real scope end to end and being the person others rely on - Don't consider any task above or beneath you — datacenter trips included NICE TO HAVE - Experience supporting ML training workloads from the infra side (distributed training failure modes, checkpointing patterns) - Experience evaluating and working with GPU cloud providers - Parallel filesystems (WEKA, VAST, etc) or large-scale object storage - BMC/IPMI/Redfish automation, PXE provisioning at scale - Power and cooling awareness for dense GPU deployments LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.