Вакансии

Задачи: — тестировать web-интерфейс и API; — составлять и проходить тест-кейсы; — находить, описывать и воспроизводить баги; — проводить smoke и regression testing; — работать вместе с разработчиками над качеством релизов. Требования: — базовое понимание QA и жизненного цикла разработки; — понимание HTTP, REST API и client-server архитектуры; — желательно знакомство с Postman, DevTools и Git; — внимательность, самостоятельность и желание быстро расти в QA. Условия: — работа с реальным B2B AI/Security-продуктом; — сильная практика на живой платформе; — возможность вырасти из стажёра в полноценного QA Engineer; — удалённая работа, парт-тайм; — без оплаты, для опыта (пет-проект); — длительность стажировки по договорённости с кандидатом; — предоставление документов, закрывающих и рекомендательных писем от ООО. Дополнительно: — по задачам: 20% фронт, 80% бэк; — тестирование интеграций с ИИ агентами, упор на негативные кейсы; — постепенный переход к автоматизации тестирования через ИИ-подход; — команда включает CEO, CTO, Golang разработчика, R&D, AppSec Developer, DevOps, CMO, CPO.

Location: Atlanta, GA (Hybrid) The Position CallRail is looking for a Senior Product Manager to own one of our most important integration domains — either our ad platform integrations (Google Ads, Microsoft Advertising, Meta) or our CRM integrations (Salesforce, HubSpot, and the vertical systems our customers run their businesses on). These integrations are where CallRail's data becomes real value for customers: closing the loop between a phone call and the ad that drove it, or pushing conversation intelligence into the system a sales team actually works in. You'll lead the strategy for your domain and own that surface end to end, and partner with the other integrations PM on the shared patterns — data sync, authentication, webhooks, and third-party APIs — so the portfolio stays coherent. Your integrations are also the foundation other teams build on — including Voice Assist , where what our AI agents can do for a customer depends directly on what your integrations can read and write. We're looking for someone who is genuinely AI-fluent — both in how they work and in what they build. The integration landscape is changing fast: platforms are exposing agent-accessible interfaces, customers expect setup and mapping to be intelligent rather than manual, and the PMs who move fastest are the ones using AI as a daily tool rather than a talking point. You don't need to be an ML engineer. You do need to reach for AI first and have opinions about where it helps and where it doesn't. This role suits a self-motivated PM who thrives at both setting product direction and rolling up their sleeves to deliver results with engineering. What You'll Do Own your integration domain Define and own some of our largest core integrations, aligning them with business goals, customer needs, and strategic partnerships. Take the integrations customers already depend on past MVP — fill functional gaps, expand data coverage, and make them genuinely good rather than merely connected. Own how customers experience your domain: how they discover, connect, configure, and troubleshoot the integrations you're responsible for. Lead discovery with customers, partners, and internal teams to validate problems before scoping solutions. Lead the strategy Lead the product strategy for your integration domain — synthesizing input from Partnerships, business strategy, and customer signal into a clear point of view, and driving alignment on it across the org. Partner with the other integrations PM on the shared design patterns every integration inherits — data sync, authentication, webhooks, and third-party APIs — and make sure the next integration is cheaper to build than the last. Stay current with partner platform roadmaps and the shifting privacy and measurement landscape, and bring a point of view on what it means for our customers. Bring AI into the product Identify where AI meaningfully improves the integration experience — intelligent field mapping, automated setup and diagnostics, enriched data pushed into partner systems, self-healing syncs — and build the case for what's worth investing in. Shape how CallRail's integration data is consumed by AI agents and assistants, as customers increasingly expect their systems to be queryable and actionable by AI rather than only by humans. Know the difference between an AI feature that holds up in production and one that demos well, and be willing to say so. Prioritize and measure Monitor success metrics, product health, and user feedback, and use them to continuously refine your domain. Make the call on sequencing net-new work against fixes and migrations, and be able to explain that call to anyone who asks. Keep the unglamorous half of integration work — bugs, migrations, reliability — visible and scheduled rather than invisible and endless. Cross-functional Partner with other product teams whose features depend on your integrations — most often Voice Assist , where the quality of a CRM or scheduling integration directly determines what our AI agents can actually do for a customer. Treat your domain as a platform other teams build on, and sequence your roadmap accordingly. Work closely with Product Design on the integration experience — setup and authentication flows, field mapping, error and reconnection states — where most of the design difficulty is in making genuinely complex configuration feel simple. Write clear, actionable epics, user stories, and acceptance criteria with real technical context and edge cases identified up front. Partner with Marketing, Sales, and Customer Experience on launches, enablement, and adoption of new integrations. Close the loop with Support — turn ticket patterns into prioritized work, and give them answers and workarounds in the meantime. Represent the integrations domain in planning cycles, executive updates, and cross-functional initiatives. What You'll Need 5+ years of product management experience , with 2+ years focused on integrations, partner ecosystems, or platform-oriented work. Demonstrated AI fluency in your day-to-day practice. You use AI tools to accelerate research synthesis, competitive analysis, spec drafting, data exploration, and prototyping — and you can speak specifically about what you've changed in how you work, not just which tools you've tried. A track record of shipping B2B SaaS integrations end to end—CRMs, ad platforms, marketing automation, analytics, or communication tools. Martech experience is preferred. Strong technical fluency. You read API documentation comfortably, reason about data models and auth flows, and scope edge cases with engineers without needing a translator. Deep API design experience isn't required, but you need to know this territory well enough to make good calls about rate limits, sync behavior, and failure modes. Proven ability to manage complex product surfaces across partner APIs, webhooks, OAuth, and data syncing. Experience building product surfaces that other product teams depend on — negotiating roadmaps with peer PMs, making commitments you can keep, and saying no in a way that keeps the relationship intact. Ability to prioritize clearly across business goals, customer needs, and technical feasibility, and to explain your reasoning to both engineers and executives. Comfort working directly with Support, Sales, and Marketing — turning their signal into prioritized work and keeping them informed without being asked twice. Experience in Agile teams working closely with engineers and designers. We flex to optimize how the team works best together. Excellent written and verbal communication skills. Integration decisions live or die by how well they're documented. Familiarity with tools we use: Jira, Confluence, Miro, Looker, Fullstory, Figma. Nice to Have Hands-on experience with ad platform measurement — offline conversion imports, value-based bidding, consent and privacy changes, and how signal loss affects attribution. Hands-on experience with CRM data models and lifecycle — lead and contact objects, custom fields, activity logging, and the realities of syncing into a customer's existing workflow. Experience shipping an AI-powered feature to production and owning its quality, cost, and evaluation over time. Experience with MCP, agent frameworks, or designing APIs intended for AI consumption. Experience in marketing tech, communications tools, or call tracking ecosystems. Background working with public APIs and/or developer experience tools. Working With AI at CallRail AI is core to how our product team operates, and we expect it to be core to how you operate. We use Claude across discovery, spec writing, data analysis, prototyping, and internal tooling, and we're actively building AI capabilities into the product itself. In this role you will: Use AI daily as a working tool — clustering support tickets to find the real bug patterns, drafting and pressure-testing specs, exploring integration data, and building throwaway scripts and prototypes to answer questions faster than a meeting could. Build your own leverage rather than waiting for it — writing Claude skills, agents, and internal workflows that make you and your team faster. Think about CallRail's platform as something AI agents will consume, not just humans. MCP servers, agent-friendly API design, and tool-calling patterns are increasingly part of what a modern integrations platform is expected to offer, and you'll help shape our point of view there. Stay genuinely current. The tooling changes every few months, and we want someone curious enough to keep up and pragmatic enough to know when a new tool actually helps. We're looking for evidence that you've already changed how you work because of these tools — not just enthusiasm about them. If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks. *** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Limassol, Cyprus Workplace: on-site We are looking for a hands-on DevOps Engineer with strong, recent AWS experience to join our infrastructure team. You will work in a hybrid environment spanning AWS, private OpenStack clouds, OKD, virtual machines, and bare-metal Linux servers. We are primarily looking for someone coming from an AWS/Linux/automation background. Our platform serves hundreds of thousands of requests per second across many thousands of virtual machines. We are therefore looking for someone who is already comfortable working with high-load, business-critical production systems, rather than someone whose experience has been limited to small-scale or early-stage environments. CORE STACK: AWS Terraform OpenStack (as a consumer: VMs, networking, storage) OKD / Kubernetes (OKD is the upstream of OpenShift) Helm / Helmfile Ansible GitLab CI/CD Linux Virtual machines and bare-metal servers Prometheus / VictoriaMetrics / Grafana ELK Our dedicated platform teams operate the underlying OpenStack and OKD platforms, while your team owns and operates the workloads running on top of them. Previous OpenStack or OKD expertise is not required: you will not be responsible for building OpenStack or maintaining the OKD control plane, but you should be comfortable deploying, operating, and troubleshooting workloads running on these platforms. Job Responsibilities Typical tasks in this role include: Build and evolve AWS infrastructure with Terraform — extending existing modules and writing new ones — across compute, networking, storage, IAM, databases, and load balancing (EC2, VPC, S3, RDS, ALB/NLB, IAM); Provision and manage OpenStack virtual machines and the Linux services running on them, as well as workloads running on bare-metal Linux hosts; Deploy and operate workloads in OKD using Helm and Helmfile, including maintaining charts, values, and templates, and troubleshooting deployments; Build and improve GitLab CI/CD pipelines for application and infrastructure deployments; Manage Linux systems with Ansible, including writing new roles and adapting existing ones; Own observability for your workloads: configure metric collection in Prometheus and VictoriaMetrics, maintain Grafana dashboards, set up and tune alerts, and work with centralized logging in ELK — collection, parsing, and helping teams find and understand issues in application and infrastructure logs; Work closely with Development and QA teams — supporting production systems as well as the test environments used for day-to-day development, and helping with deployments, environment configuration, infrastructure issues, and release blockers; Troubleshoot issues across infrastructure, networking, Linux, CI/CD, and application platforms, including problems that span multiple systems; Automate repetitive operational tasks and take part in infrastructure upgrades, migrations, and improvements. Review infrastructure code and work with DevOps, Development, QA, and Platform teams on changes that cross team boundaries. You’ll thrive here if you have Has strong, recent hands-on AWS experience in large-scale, high-traffic, business-critical production systems; Has solid experience with Terraform and Infrastructure as Code; Has practical experience running workloads in Kubernetes-based environments and working with Helm; Has experience building and maintaining CI/CD pipelines, preferably with GitLab CI; Has hands-on experience with Ansible, including writing or maintaining roles; Understands infrastructure networking: TCP/IP, DNS, routing, load balancing, firewalls/security groups, and connectivity troubleshooting; Has practical experience with metrics and alerting (Prometheus, VictoriaMetrics, Grafana) and centralized logging (ELK); Can troubleshoot complex problems independently and follow them across multiple layers of the stack; Is confident with Linux, virtual machines, and production infrastructure, is comfortable working outside fully managed cloud services, and understands what runs underneath the application. Comfortable using Bash, Python, or similar for automation. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 minutes); Technical interview (1.5 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: Remote - US About MariaDB Are you ready to shape the infrastructure for a groundbreaking cloud database platform? MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB Cloud is revolutionizing the way businesses manage their data in the cloud. We're on a mission to provide a seamless, powerful, and user-centric Database-as-a-Service (DBaaS) solution that sets new industry standards. MariaDB Cloud is a Multi-cloud Database-as-a-Service platform offering, specializing in managing MariaDB, one of the most popular open-source relational database systems. MariaDB Cloud is more than just a database; it's a comprehensive and innovative platform that delivers continuous availability, autonomous operation, and serverless capabilities. We're redefining the database experience to make it more accessible, intuitive, and efficient than ever before. The Opportunity About the Role We are seeking a Senior Software Engineer to join a small, high-ownership team building robust cloud infrastructure for our globally deployed relational database engine. You will design and implement the application layers, business logic, and API workflows at the intersection of data management, cloud operations, and relational database services—critical components that enterprise applications depend on for correctness, performance, and governance. This is a hands-on, end-to-end role. You will lead features from whiteboard to production: owning implementation, writing clean and scalable code, and leveraging deep expertise in cloud orchestration to ensure robust deployment across multi-cloud environments. Proficiency in Terraform is essential for managing our complex infrastructure and ensuring reproducible deployments. Our team is small by design, offering high individual impact and direct visibility into engineering strategy. The ideal candidate has scaled infrastructure across multiple cloud providers and approaches every challenge with an ownership mindset—shipping production-grade systems that set new industry standards. Key Responsibilities 8+ years of experience in software development with deep expertise in distributed systems and cloud-native architecture. Proven track record of designing and operating multi-cloud infrastructure at scale across AWS, GCP, and Azure. Advanced proficiency in Terraform for Infrastructure as Code (IaC) and complex cloud orchestration. Expertise in containerization and orchestration using Kubernetes and Docker in production-grade environments. Experience building and maintaining robust CI/CD pipelines for automated, scalable deployments. Strong command of Go or Python for developing cloud-native applications, controllers, and automation tooling. BS/MS in Computer Science or a related technical field. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Knowledge of MariaDB server is a plus. Required Qualifications Experience 5+ years of professional software development experience, with at least 2 years focused on data-intensive applications, database-adjacent features, or enterprise software. Demonstrated end-to-end ownership of a non-trivial production feature or module: you have taken something from functional specification through implementation to production. Hands-on production experience deploying, debugging, and managing application services across at least two major public clouds (AWS, Azure, GCP). Experience building or integrating with vector databases, embedding pipelines, semantic search, or retrieval-augmented generation (RAG) systems. Prior work building LLM-based applications or workflows using AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or equivalent). Technical Skills Strong proficiency in Python for AI application development, alongside high proficiency in at least one backend language (such as Go, Java, or C++). Deep, practical application of relational databases: writing complex SQL, structural indexing, query optimization, transactions, and schema design. Experience implementing temporal data models, event-driven tracking, audit logs, or utilizing system-versioned tables. Solid understanding of application security fundamentals: authentication, authorization, RBAC, row-level security, and multi-tenant data isolation at the application layer. Proficiency with modern application monitoring tooling: structured logging, distributed tracing (OpenTelemetry), and functional alerting. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Preferred Qualifications Experience contributing to or maintaining open-source projects in the database, AI/ML application, or agent-tooling ecosystem. Hands-on experience developing MCP servers or integrating A2A (Agent2Agent) protocols into production systems. Familiarity with agent memory frameworks such as Mem0, Graphiti, or Letta. Experience leveraging graph databases or multi-hop graph traversal (Neo4j, Kuzu, FalkorDB, or similar) within applications. Background with in-memory data grids or semantic caching systems (Redis or similar) to optimize AI token usage. Experience packaging applications for on-premises or air-gapped deployment environments, including regulated infrastructure. Knowledge of MariaDB or MySQL application development, system-versioned tables, or temporal SQL. Location & Job Info Full-Time - Remote - US Why Join Us Compensation The annual anticipated U.S. base salary range for this full-time position is $141,000-$185,000. Actual salaries may vary and fall outside of this range depending on factors such as a candidate’s qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than the job description as posted. Salary is one component of MariaDB’s total rewards package.  We provide a competitive benefits package. Additional benefits includes health insurance, life, and disability insurance, funds toward professional development resources, Flexible Paid Time Off (FPTO), paid holidays, 401(k), and parental leave, a massive degree of flexibility and freedom, just to name a few! Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Задачи: — Осуществлять первоначальную установку и настройку сервера с базой данных. — Вести администрирование и операционное сопровождение СУБД MS SQL Server. — Заниматься администрированием кластеров, Always On, репликации и механизмов высокой доступности и аварийного восстановления (HA/DR). — Осуществлять настройку мониторинга производительности БД: сбор метрик, создание дашбордов, настройка системы уведомлений. — Настраивать и поддерживать механизмы репликации данных. — Реализовывать партиционирование (секционирование) таблиц и индексов. — Обеспечивать корректную работу транзакций, управлять блокировками, контролировать уровни изоляции. — Оптимизировать SQL-запросы и индексы. — Анализировать планы выполнения запросов, выявлять узкие места. — Выявлять и устранять блокировки в момент возникновения. — Настраивать и сопровождать процессы резервного копирования и восстановления. — Осуществлять регламентное сопровождение и обслуживание БД, в том числе автоматизацию регулярных процедур и процессов. — Разграничивать уровни доступа до баз данных согласно принятой ролевой модели и политик безопасности, принятых в компании, и автоматизировать данные работы. — Регулярно проводить аудит баз данных на соответствие политикам информационной безопасности. — Взаимодействовать с разработчиками по оптимизации запросов (проводить анализ производительности, статистик, индексов, журналов, разбор блокировок и других инцидентов в работе БД). Составлять рекомендации по оптимизации кода для разработчиков. — Разрабатывать стандарты эксплуатации и технической документации. Требования: — Опыт администрирования и поддержки БД MSSQL 2012-2025 от 5-ти лет, от 20+ инсталляций и 100+ БД. — Знание внутренней архитектуры SQL Server и принципов работы СУБД. — Практический опыт работы с Always On. — Понимание принципов работы Failover Clustering, Replication и Log Shipping. — Навыки анализа производительности, поиска узких мест и тонкой настройки СУБД. — Уверенное владение SQL, T-SQL, PowerShell. — Плюсом будет опыт работы с PostgreSQL или другие вендоры OLTP баз данных. — Глубокое понимание языка SQL и принципов оптимизации запросов, включая: оптимизацию индексов, чтение и анализ планов выполнения запросов, профилирование текущей нагрузки БД, выявление и устранение блокировок, анализа производительности, поиска узких мест и тонкой настройки СУБД. — Будет преимуществом: опыт работы с корпоративными (Enterprise) базами данных уровня ERP AXAPTA или другими высоконагруженными системами на базе MSSQ. Условия: — Аккредитованная IT-компания, которая создает и развивает один из ТОП-10 крупнейших интернет-магазинов страны. — Персональное предложение по заработной плате и официальное трудоустройство. — Помощь карьерного консультанта для выбора индивидуального направления развития. — Широкий социальный пакет со стоматологией, компенсация питания в офисе, скидки и бонусы от партнеров. — Современное оборудование для работы. — Стильный и уютный офис в центре Екатеринбурга. — Изучение английского языка в GA English Club, компенсация обучений и развитие в собственном онлайн-университете. — Никаких ограничений по дресс-коду и внешнему виду.

Задачи: — Выполнять функциональное, интеграционное, регрессионное и приёмочное тестирование; — Проводить финальные release test runs перед выкладкой в production; — Анализировать требования до старта разработки: выявлять пробелы, противоречия и неочевидные сценарии; — Тестировать API (Postman /REST Assured), интеграции между сервисами, брокеры сообщений (RabbitMQ /Kafka), данные в БД (PostgreSQL /MS SQL Server); — Выстраивать прозрачную трассируемость: требования → тест-кейсы → test runs → дефекты → релизы в TMS; — Готовить отчётность по результатам тестирования: покрытие, статус, дефекты, остаточные риски, рекомендация по релизу; — Применять AI-инструменты в QA: генерация тест-кейсов, анализ требований, автоматизация тестовой документации; — Участвовать в выстраивании QA-процессов и улучшении SDLC/STLC; — Менторить Junior и Middle QA-специалистов; проводить ревью тест-кейсов и баг-репортов. Требования: — Опыт в QA-инженерии C# от 5 лет; — Глубокое знание техник тест-дизайна: эквивалентное разбиение, граничные значения, попарное тестирование, state transition; — Уверенная работа с API-тестированием: Postman, REST Assured или аналоги; — Навыки SQL-тестирования: PostgreSQL и /или MS SQL Server; — Опыт тестирования асинхронных систем и брокеров сообщений: RabbitMQ и / или Kafka; — Уверенная работа с TMS (Qase, TestRail, Zephyr) и Jira; — Опыт написания автотестов: Selenium, Playwright, Cypress или аналоги; — Понимание CI/CD-процессов и участие в тестовых пайплайнах; — Интерес к применению AI в QA-процессах; — Опыт менторинга Junior /Middle QA-специалистов. Условия: — Работа в команде экспертов; — Широкий технологический стек, сотни проектов; — Гибкий график работы; — Льготы и меры господдержки, предусмотренные для IT-компаний (аккредитованы Минцифры); — Возможность разрабатывать IT-решения для разных отраслей, пробовать новые технологии; — Выстроенные процессы удаленной работы, просторные офисы с зонами коворкинга; — Возможность прокачаться во всех интересующих направлениях; — Развитая система наставничества, сертификация за счёт компании, участие в конференциях, изучение английского языка; — Активный обмен опытом, внутренние и внешние митапы, хакатоны, доклады по развитию hard и soft skills; — 50+ клубов по интересам и профессиональных сообществ внутри компании; — Уютный мерч; — Полный соцпакет и «белая» зарплата; — Корпоративная база знаний и социальная сеть для удобства общения с каждым из 1500+ сотрудников; — Гибкий ДМС (депозит/риск) + подключение родственников по желанию; — Забота о ментальном здоровье: онлайн-консультации с психологом.

Требуется разработчик C# / .NET с опытом работы с WPF, EF Core, SQL. Необходимы навыки работы с C#, .NET, .NET Core, WPF, Entity Framework, Linq, Microsoft SQL Server, PostgreSQL, SQL и Git. Работа удалённая, полный рабочий день. Зарплата от 180 000 до 210 000 рублей в месяц.

Задачи: — Администрирование и развитие корпоративной серверной и виртуальной инфраструктуры, обеспечение стабильной и бесперебойной работы ИТ-сервисов; — Эксплуатация серверного оборудования от HP (HPE iLO), настройка, конфигурирование, диагностика, замена аппаратных компонентов, обновление firmware и драйверов, создание кастомных сервисных пакетов, замена компонентов; — Сопровождение среды виртуализации на базе VMware vSphere: ESXi, vCenter, HA, DRS, vMotion, кластеры; — Администрирование системы резервного копирования на базе Veeam Backup & Replication; — Настройка и сопровождение мониторинга на базе Zabbix; — Поддержка серверов под управлением Linux (RHEL и другие) и Windows Server: установка, настройка, обновление, управление доступами, troubleshooting; — Сопровождение систем хранения данных и интеграции с виртуальной средой (vSAN, iSCSI); — Анализ и устранение инцидентов, связанных с производительностью, доступностью, резервным копированием и отказоустойчивостью инфраструктуры; — Участие в проектах модернизации, миграции и оптимизации ИТ-инфраструктуры, ведение технической документации. Требования: — Высшее техническое образование; — Профильные ИТ-сертификации будут преимуществом; — Опыт работы системным администратором от 3 лет в корпоративной инфраструктуре; — Практический опыт работы с VMware vSphere: ESXi, vCenter, HA, DRS, vMotion; — VMware vCloud Director: виртуальные дата-центры, каталоги, сети, пулы ресурсов, политики доступа; — Veeam Backup & Replication (v12\v13): резервное копирование ВМ, файлов и приложений, настройка backup/recovery-процессов, контроль успешности backup-задач; — Работа с Veeam Backup & Replication Enterprise Manager; — Zabbix на уровне администратора: мониторинг серверной, виртуальной и сетевой инфраструктуры, шаблоны, триггеры, дашборды, умение работать c API; — Linux и/или Windows Server на уровне системного администрирования; — Системы хранения vSAN/vSAN ROBO, понимание принципов FC / iSCSI / NFS; — Сетевые технологии: TCP/IP, DNS, DHCP, VLAN; — Инструменты автоматизации: PowerShell, VMWare PowerCLI; — Опыт диагностики и устранения инцидентов в серверной, виртуальной и backup-инфраструктуре; — Умение работать в команде, соблюдать SLA и поддерживать высокий уровень доступности сервисов.

Location: Cyprus; Poland; Georgia; Bulgaria; Armenia; Belarus We are an international broker. Our clients fund and withdraw through roughly 60 payment methods across Asia, Africa, LATAM and the Middle East. Payments is now a standalone function, and we are building the team around it. We are looking for a Senior Backend Engineer who will own our connector layer and everything downstream of it: building a canonical adapter layer so that providers plug in rather than get built one by one, moving payment methods to server-to-server and embedded flows, and making transaction status reliable and observable across the estate. You will also be the payments function's technical counterpart to the orchestration platform team: the behaviour we need from the platform is specified here, argued here and reviewed here. Your responsibilities will be: Building and owning the connector and adapter layer, so that adding or replacing a provider becomes configuration and a thin adapter rather than a new integration each time Migrating payment methods from redirect flows to server-to-server and embedded flows where the provider supports it, and measuring the result Owning everything downstream of the orchestration layer: reconciliation, transaction status handling on our side, method configuration and payment flows into the client portal Making transaction status reliable end to end, through active status polling, idempotent processing and reconciliation Building observability over transaction status and provider performance across the estate Specifying the behaviour we need from the orchestration platform: transaction state machine, idempotency, polling, routing and cascading rules. You design it, argue for it and review what comes back Supporting integration work for our card programme Extending the same integration set to acquired entities as configuration rather than a new build each time Requirements 5+ years in backend engineering, strong in TypeScript, Node.js, comfortable in relational databases Production experience with payment systems: authorisation, callbacks, refunds, reconciliation and retry behaviour Practical understanding of idempotency, asynchronous status handling, transaction state machines and designing for partial failure. This is the core of the role rather than a detail, and you will both build against it and specify it Experience integrating third-party APIs of uneven quality, including working directly with a provider's integration team to resolve what the documentation does not answer The ability to own a service rather than close tickets: architecture decisions, standards and root cause fixes English and Russian at a working communicative level Will be a significant plus: Exposure to .NET for work touching the client portal Experience with APM and local rails in Asia, Africa or LATAM rather than cards alone Experience with bank transfer rails, virtual accounts, QR-based methods, mobile money etc. Event-driven patterns in production: transactional outbox, idempotent consumers, sagas Background in brokerage, crypto payments, orchestration or another high-volume payments environment; on the provider side, at a PSP, gateway or payment company Active use of AI tooling in daily work Ability to work independently and make decisions without constant oversight Proactive mindset: willingness to propose improvements, fixes, new approaches What the first year looks like. In the first months you take over the integration codebase with a documented handover, strengthen transaction status handling, and ship your first server-to-server integration. By mid-year the adapter layer is in place, new providers go live against it rather than as one-off builds, and transaction status and provider performance are observable across the estate. In the second half the migration to server-to-server and embedded flows runs as a programme across methods, and the same integration set starts extending to our other entities. As the team grows, a Systems Analyst takes over instrumentation and verification while integration engineering stays with you. Recruitment process: HR interview, covering background, motivation and fit Technical interview on backend engineering and the payments domain Home task as a case from the real needs System design and problem-solving interview, covering integration design, failure handling and status modelling Final interview with senior stakeholder. Benefits Fixed monthly compensation of [based on experience] Fully remote work within GMT to GMT+4, with no relocation required Ownership of the connector layer and everything downstream, with direct influence on what the orchestration platform becomes Engineering problems that are not CRUD: asynchronous status across dozens of providers, partial failure, and local payment rails in emerging markets Scope that grows with the business: a card programme, new entities and new payment products Corporate AI tooling as part of the working process

Location: Amman, Jordan We are looking to recruit Associate Support Engineers who will receive an intensive training in the field of Support & Implementation and its related technologies and will be involved in providing remote IT technical liaison during the shift, in addition to providing support and network administration to the customers and troubleshooting issues over the phone/emails and onsite whenever needed. Responsibilities: Provide first-line support for the helpdesk and all associated processes. Provide tier-one telephone support for software applications. Provide Basic troubleshooting for software problems covered in training. Utilize help desk software to keep an accurate account of all incoming calls, opened incidents, and requests. Route calls and notify technicians of any critical situation requiring immediate attention. Maintain the proper skills necessary to interface with a variety of users regarding specific problems. Troubleshoot and provide appropriate solutions to problems. Serve as a liaison between customers and the technical department. Maintain client confidence and protects operations by keeping information confidential. Contribute to team effort by accomplishing related results as needed. Perform any other related duties incidental to the work. Requirements: Fresh graduates - up to one year of experience. BSc degree in computer information system or any related field. Willingness to work on different shifts either from (04:30PM - 1:00AM) or (12:00AM – 08:30AM) or (8:00AM - 5:30PM). Willing to travel and work extra hours when needed. Willing to relocate as needed. Excellent written and verbal communication skills (Arabic & English languages). Knowledge of Database engines (Oracle, MS-SQL, Postgres). Knowledge of Operating Systems (Unix/Linux and Windows). Knowledge of Cloud Infrastructure Tools (Docker & Kubernetes) and DevOps Techniques. Knowledge of Application servers (Apache Tomcat, WebLogic, and WebSphere). Familiar with Networking, HA & Disaster Recovery, and Backup & Recovery strategies. Strong customer service and excellent interpersonal skills. Ability to listen and understand what is being described by the end user as well as the ability to explain problem resolutions when necessary. Work with integrity and ethics. Uphold organization values. Show respect and sensitivity for cultural differences.

Задачи: — Сопровождение и поддержка конфигураций: обеспечение бесперебойного функционирования систем; мониторинг работоспособности баз, выявление и оперативное устранение ошибок и сбоев; настройка и поддержка обменов между конфигурациями; управление обновлениями: планирование, тестирование на копиях, внедрение обновлений платформы и конфигураций в рабочие базы с минимальным простоем; настройка регламентных и фоновых заданий, контроль их выполнения. — Управление инцидентами и заявками пользователей: приём, маршрутизация и контроль исполнения заявок от пользователей всех закреплённых конфигураций; приоритизация обращений, распределение задач между сотрудниками отдела; личное решение инцидентов и запросов повышенной сложности; ведение учёта заявок в системе Service Desk (или аналогичной), подготовка отчётности по метрикам поддержки. — Доработка и настройка конфигураций: сбор и формализация требований от бизнес-подразделений; разработка технических заданий на доработку функционала во внедряемых конфигурациях; согласование доработок с методологами и руководителями бизнес-направлений; контроль качества внесения изменений: код-ревью, тестирование на копии, регресс-ное тестирование; управление версионностью изменений, контроль целостности и совместимости доработок при обновлениях типовых конфигураций. — Администрирование платформы 1С: администрирование серверов 1С, кластеров, рабочих процессов; управление пользователями и правами доступа, настройка RLS-ограничений; настройка и контроль резервного копирования баз данных, регулярная проверка восстанавливаемости; мониторинг производительности: сбор и анализ технологического журнала, расследование проблем производительности с помощью ЦКК (центр контроля качества); управление лицензиями платформы и конфигураций, контроль сроков действия ИТС; взаимодействие с подрядными организациями (1С-интеграторами, техподдержкой 1С, франчайзи) по инцидентам и обновлениям. — Работа с пользователями: проведение консультаций по работе в конфигурациях; подготовка инструкций, памяток и регламентов для пользователей; организация и проведение обучения для новых сотрудников и при внедрении нового функционала. Требования: — Опыт администрирования платформы 1С: серверная архитектура, кластеры, тонкий и веб-клиент, СУБД (PostgreSQL / MS SQL Server). — Владение конфигурациями: Бухгалтерия предприятия 3.0, Розница 3.0, Управление торговлей 11.6 — понимание архитектуры, модулей, обменов между ними. — Опыт программирования на встроенном языке 1С, знание СКД, регулярных выражений, общих модулей, подписок на события, расширений конфигураций. — Опыт управления обменами: через универсальный формат, КД 2.0 / 3.0, Enterprise Data. — Опыт расследования инцидентов производительности с использованием ЦКК, технологического журнала. Условия: — Место работы: м. Автозаводская, Автозаводская улица, 18. — Комфортный график работы 5/2 10:00 - 19:00. — Оформление в соответствии с ТК РФ на основное место работы.

Что мы предлагаем: Работу в крупнейшей холдинговой структуре, лидере горнодобывающего и металлургического рынка. Комфортную доставку корпоративным транспортом до офиса от станций метро Славянский бульвар. Кроме этого, имеется бесплатная парковка для сотрудников. Гибридный формат работы 3 дня в офисе/2 дня из дома. Работа в комфортных условиях с уютными кофе-пойнтами. Полное обеспечение всем необходимым: ноутбук, корпоративная мобильная связь в соответствии с корпоративными стандартами. Программа корпоративных привилегий (скидки и уникальные предложения на множество товаров и услуг). ДМС со стоматологией, специальные программы поддержки работников (выплата материальной помощи, подарки для детей сотрудников к Новому году, подарки для первоклассников). Профессиональное развитие и рост внутри компании: обучение, наставничество, внутренний кадровый резерв, библиотека онлайн курсов. Яркая и насыщенная корпоративная жизнь, в том числе спортивные мероприятия. Чем предстоит заниматься: — Собирать и формализовать информацию о действующих HR-процессах, выявлять разрывы, неэффективные участки и ручные операции. — Описывать процессы в нотации BPMN 2.0. — Проводить анализ эффективности, выявлять разрывы и ручные операции. — Собирать, структурировать и формализовать бизнес-требования к развитию HR-систем и связанных с ними процессов. — Готовить ТЗ (ЗНИ) для ИТ-разработки (доработки HR+, интеграций). — Анализировать данные и функциональность SAP HCM, формировать требования к выгрузкам, интеграциям и использованию данных системы. — Проверять корректность показателей и метрик в BI-отчётах, включая Power BI, сопоставляя их с данными SAP HCM и утверждёнными методиками расчёта. — Формировать требования к витринам данных, анализировать структуру хранения данных и при необходимости самостоятельно разрабатывать SQL-скрипты и отчёты. — Проводить первичную приёмку реализованных отчётов и функций. — Организовывать и проводить приёмочное тестирование реализованной функциональности, отчётов и интеграций, осуществлять первичную приёмку результатов разработки. — Координировать согласование трактовок показателей и полей, фиксировать методики расчёта в бизнес-глоссарии и обеспечивать единое понимание данных всеми участниками процесса. Что мы ожидаем от кандидата: — Образование - высшее. — Практический опыт описания, анализа и оптимизации бизнес-процессов в нотации BPMN 2.0. — Опыт работы с требованиями: сбор, анализ, формализация, декомпозиция и приоритизация требований. — Базовое владение SQL (написание сложных запросов, работа с объединениями, подзапросами, оконными функциями). — Опыт работы с MS SQL Server. — Желателен опыт работы с BI-инструментами (Power BI). — Умение анализировать дашборды, проверять корректность метрик и визуализаций. — Понимание принципов построения витрин данных и ETL-процессов. — Понимание принципов построения BI-решений и интеграции BI-систем с источниками данных.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act. Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive. Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data. Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program. Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last. Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes. Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones. Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service. Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action. Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with schedule, ticket, and telemetry data to drive decisions. Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program. Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — поддержка серверной и офисной инфраструктуры: VPS, dedicated servers, Proxmox, Windows и Linux; — настройка и обслуживание VPN, MFA, firewall, удалённого доступа, мониторинга, логирования и резервного копирования; — администрирование сетевого оборудования, VLAN и Wi-Fi; — администрирование Google Workspace и других корпоративных SaaS-сервисов; — hands-on поддержка пользователей L1/L2 на macOS и Windows, онбординг и офбординг, управление доступами; — администрирование 1С и корпоративного мессенджера; — взаимодействие с подрядчиками и провайдерами, работа с оборудованием, лицензиями и инвойсами; — автоматизация регулярных задач. Требования: — от 5 лет опыта системным администратором или универсальным IT-специалистом; — практический опыт работы с Windows, Linux и macOS; — уверенное знание сетей и опыт с Cisco, MikroTik, Ubiquiti, Fortinet, UserGate или другим сетевым оборудованием; — опыт виртуализации: Proxmox, Hyper-V, KVM или аналоги; — опыт с VPN, firewall, мониторингом, логированием, backup и recovery; — опыт администрирования Google Workspace; сильный опыт с Microsoft 365 или Яндекс также рассмотрим; — навыки автоматизации на Bash, Python, PowerShell или аналогичных инструментах; — опыт администрирования 1С; — английский от B1 обязателен для рабочих созвонов и взаимодействия с зарубежными дата-центрами; — самостоятельность, ответственность и готовность к hands-on работе. Будет плюсом опыт администрирования Slack или другого корпоративного мессенджера, интеграций и сервисов OpenAI/GPT.

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As Senior Engineering Manager for Agent Platform & UX, you will lead two teams reimagining Render's onboarding and activation experience for both humans and AI agents. One team owns the experience a person sees the first time they come to Render: signup, onboarding, activation, and what drives them to adopt more of the platform. The other team builds the equivalent experience for agents, which reach Render through APIs rather than the UI, integrating with providers like Codex, Claude, and Cursor so agents can use Render the way humans do. You'll take an already-forming org through its next stage of growth. WHAT YOU'LL DO - Lead and grow two teams, UX (human onboarding and activation) and Agent Platform (the equivalent experience for agents via programmatic interfaces like the MCP, CLI, API, SDK, and Blueprints) - Own the roadmap for Render's self-serve user journey, from first touch through activation, initial monetization, usage expansion, new feature adoption, and PQL graduation - Drive the agent-facing side of the platform: build the API-driven experience that lets agents integrate with and operate on Render - Partner with the dedicated product and design partners on both teams to align roadmap with customer, growth, and platform needs - Hire and develop engineers to support planned team growth, while keeping both teams' identities and focus areas clear as they scale - Make key architectural and product decisions, balancing long-term platform investment against iterative improvements to onboarding and activation - Build a strong performance management and career development practice for a team that already includes senior ICs WHAT WE'RE LOOKING FOR - Strong people leadership - the top priority for this role - Hands-on enough to review code, prototype, and contribute directly when it helps the team - Comfort operating in ambiguity, with adaptability and a growth mindset - Proven experience building and scaling more than one team, ideally growing a group from a handful of engineers into a larger org - Experience managing and developing senior (IC5+) engineers, including hiring and performance management - Ability to partner closely with product and design without needing to fill those functions yourself - Strong product instincts, with the ability to connect engineering investment to growth and activation outcomes - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment NICE-TO-HAVES - Prior growth-focused engineering experience (onboarding, activation, funnel optimization) - Experience building developer- or agent-facing product experiences, and integrating with AI coding tools such as Codex, Claude, or Cursor - Background in developer platforms or DevTools - Experience helping a team split or reorganize as it scales into multiple teams If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on Modal’s machines layer: the fleet of bare-metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You’ll automate the integration of new capacity from a growing set of hardware providers, from auditing and benchmarking hosts and clusters to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You’ll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You’ll dig into whatever is between the hardware and the software that runs on top of it, whether that is a kernel panic, a broadcast storm during boot, or getting our container runtime to run on new architectures and platforms. WHAT YOU'LL WORK ON: - Automate remediation of unhealthy machines (power cycling, reimaging, GPU recovery) to maximize uptime and minimize operator toil - Automate integration of new CPU, GPU, and storage servers into the fleet while managing hardware and network heterogeneity - Monitor network health and reliability across many datacenters, and standardize bare-metal network configuration - Automate hardware acceptance testing and benchmarking (CPU, disk, GPU, interconnect, network) - Build our custom network bootloader, machine image pipeline, and kernel and firmware management across the fleet YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve operated fleets of physical hardware (bare-metal provisioning, BMC/IPMI, PXE or network boot, firmware) or built the control planes that manage them (the more challenges you’ve worked through, the better) - You have strong cloud skills - You have strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers, etc.) - You’re effective at debugging across layers, from BGP flapping, Linux RPS, and vBIOS bugs to a Python control-plane service - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVES: - Experience with GPUs and the NVIDIA software stack in production (drivers, health monitoring, XIDs, RDMA/NVLink) - Prior experience with Go

Location: Remote We build and operate the compute infrastructure our researchers run on, supporting large-scale processing of historical market data and model training on our own hardware across multiple data centers. Our environment includes bare-metal Linux, virtualization, storage, and GPU clusters, where performance, reliability, and predictable system behavior are critical. Our Infrastructure team covers monitoring and automation, distributed storage, hardware and OS provisioning, GPU clusters and workload scheduling, high-speed networking, L2/L3 Linux support, and security engineering. Engineers here own their tasks end to end, so there's room to go deeper in your area and pick up the parts you haven't touched yet. We’re looking for a Linux Infrastructure Engineer who can work hands-on with server and cluster environments, from deployment and configuration to performance tuning, troubleshooting, and ongoing improvement What You’ll Be Doing: Deploying, configuring, and maintaining Linux-based bare-metal servers across our data centers Building and operating clustered environments, including virtualization, storage, GPU compute, and database clusters Troubleshooting complex Linux, hardware, networking, and cluster-level issues Performance tuning for throughput, latency, stability, and resource utilization Monitoring infrastructure health and performance, identifying bottlenecks, and preventing recurring issues Supporting the full server lifecycle: provisioning, setup, upgrades, and maintenance Improving reliability and predictability during failures, maintenance, and scaling Automating provisioning, configuration, and operational tasks, primarily using Ansible and scripting What We Look For In You: Strong hands-on Linux administration and troubleshooting experience Production experience with on-premise, bare-metal infrastructure Good understanding of Linux performance and bottleneck analysis Experience with: infrastructure monitoring and troubleshooting production issues, server provisioning, configuration, and lifecycle management, infrastructure automation, ideally using Ansible Nice-to-have: Experience Experience with hardware bring-up and lifecycle management: BMC/IPMI, firmware, BIOS tuning, and automated OS provisioning (PXE/netboot) Experience with virtualization clusters, including live migration and HA Experience with distributed storage clusters, including replication, rebalancing, and recovery from disk and node failures Why Should You Join Our Team? Great challenges with many opportunities to prove yourself A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary