Вакансии

• Build and maintain functionality in our React Native SDK, including brownfield integration into partners’ host apps. • Debug the full request path: mobile client, network, BFF, and external services.

Location: Remote - EMEA Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE TEAM The Retail Media team is building a platform for connecting ecommerce retailers and brands. In a nutshell, retail media is the product that allows a brand to buy a placement within our customer’s search, browse, recommendations, collections, or quizzes results. A comprehensive retail media platform integrates seamlessly with online retailers, offering advanced targeting, bidding, and analytics capabilities. This platform aims to enhance ad visibility, optimize ad placement, and provide robust performance analytics. We're a passionate team of cross-functional engineers who love challenges and want to make people’s lives better. We value openness, curiosity, continuous improvement, and great code. We believe that empowering everyone in a company to do what they think is best can lead to great things. The Retail Media team is new and looking for Senior engineers who will help us build backend services, integrate with data warehouse and other services managing results order, and more. ABOUT THE JOB The primary focus of this job is to design, deliver & maintain web services in close collaboration with other engineers. - Build / deploy / support services using Python and FastAPI - Write AWS CloudFormation scripts, Jenkins jobs, Github actions following best industry standards - Set up service observability, monitoring metrics, and alerting (Prometheus, Grafana, PagerDuty, AWS CloudWatch) - Implement CI/CD pipelines and separate stability testing - Collaborate with technical and non-technical business partners to develop / update functionalities - Communicate with stakeholders within and outside the team REQUIREMENTS - Strong computer science background & familiarity with networking principles. - Experience in designing, developing & maintaining highload real-time services. - Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources. - Hands-on experience with setting up and improving CI/CD pipelines. - Proficiency in Python. - Experience in server-side coding for web services, and a good understanding of API design principles. - Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty. - Familiarity with Service-Oriented Architecture, knowledge of communication protocols like protobuf. - Experience with NoSQL and relational databases, distributed systems, and caching solutions (MySQL/PostgreSQL, ClickHouse/Athena). - Experience with any of the major public cloud service providers: AWS, Azure, GCP. - Experience collaborating in cross-functional teams. - Excellent English communication skills. - Ideal candidate has previous experience building ad tech solutions. - We're looking for someone who can overlap with 11:00–16:00 UTC — to keep collaboration smooth across time zones. BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Задачи: — Разработка Web Api с использованием RESTful и IoC контейнеров — Оптимизация запросов и работа с большими объемами данных — Разработка крупных высоконагруженных систем — Работа с микросервисной архитектурой Требования: — Опыт работы с MS SQL Server (T-SQL) или другими СУБД — Понимание принципов CI/CD — Опыт работы с системами контроля версий (git) — Понимание архитектуры и технологий безопасности в корпоративных приложениях Условия: — Полный рабочий день — Возможность удалённой работы

Задачи: — Администрирование FortiGate: Firewall Policies, NAT, VPN, маршрутизация. — Настройка и диагностика Site-to-site IPsec VPN. — Работа с корпоративными сетями: TCP/IP, VLAN, DNS, DHCP. — Администрирование Windows Server, Linux, Active Directory/GPO. — Использование систем мониторинга Zabbix, Grafana или аналогов. Требования: — Наличие реального практического опыта работы с FortiGate в корпоративной инфраструктуре. — Опыт самостоятельного администрирования Firewall Policies, NAT, VPN, маршрутизации. — Знания и опыт работы с Site-to-site IPsec VPN. — Знания корпоративных сетевых технологий: TCP/IP, VLAN, DNS, DHCP. — Опыт работы с Windows Server, Linux, Active Directory/GPO. — Навыки работы с системами мониторинга Zabbix, Grafana или аналогичными. — Опыт HelpDesk или только теоретические знания не принимаются. Условия: — Работа в офисе в городе Алматы. — График 5/2, полный рабочий день.

Location: Poland Workplace: fully About Us We are a recruitment agency specializing in fintech and iGaming. We help international companies find and hire strong professionals across Europe and beyond, offering both recruitment and staffing services. Role Overview Take ownership of the automation stack and turn manual processes into reliable workflows used every day. You will work across n8n, PostgreSQL, JavaScript and AI integrations, with the scope to improve existing systems and build new solutions. The work involves Docker and Git, and close collaboration with skilled colleagues across the business. Key Responsibilities Build and improve n8n workflows connecting recruitment, sales and finance tools. Design PostgreSQL tables and views, write reporting queries and maintain consistent data across systems. Write JavaScript in n8n Code nodes for data transformation, API calls and custom logic. Build AI-powered steps for candidate scoring, data enrichment and text generation, including prompt design and model cost control. Integrate tools through REST APIs and webhooks, and adapt integrations when vendor APIs change. Monitor workflow runs, investigate failures and resolve root causes. Gather requests from recruiters, team leads and finance, then deliver working solutions. Document workflows, the data model and key technical decisions. Requirements Proven experience automating business processes used daily by non-technical teams. Hands-on experience building and maintaining production workflows in n8n. PostgreSQL skills in schema and view design, complex SQL reporting and data synchronisation. Working knowledge of JavaScript for data processing and API integrations. Experience integrating LLM APIs, such as OpenAI, into business workflows, including prompt design. Practical knowledge of REST APIs, webhooks and authentication methods, including OAuth and API keys. Git, Docker and basic Linux server administration are a plus. Languages: English B2, Russian C1. Key Soft Skills Independence, ownership and accountability. A structured approach and attention to detail. Clear communication with non-technical users. Analytical thinking and pragmatic problem-solving. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. Recognition of personal milestones and achievements.

Location: Armenia Workplace: fully About Us We are a recruitment agency specializing in fintech and iGaming. We help international companies find and hire strong professionals across Europe and beyond, offering both recruitment and staffing services. Role Overview Take ownership of the automation stack and turn manual processes into reliable workflows used every day. You will work across n8n, PostgreSQL, JavaScript and AI integrations, with the scope to improve existing systems and build new solutions. The work involves Docker and Git, and close collaboration with skilled colleagues across the business. Key Responsibilities Build and improve n8n workflows connecting recruitment, sales and finance tools. Design PostgreSQL tables and views, write reporting queries and maintain consistent data across systems. Write JavaScript in n8n Code nodes for data transformation, API calls and custom logic. Build AI-powered steps for candidate scoring, data enrichment and text generation, including prompt design and model cost control. Integrate tools through REST APIs and webhooks, and adapt integrations when vendor APIs change. Monitor workflow runs, investigate failures and resolve root causes. Gather requests from recruiters, team leads and finance, then deliver working solutions. Document workflows, the data model and key technical decisions. Requirements Proven experience automating business processes used daily by non-technical teams. Hands-on experience building and maintaining production workflows in n8n. PostgreSQL skills in schema and view design, complex SQL reporting and data synchronisation. Working knowledge of JavaScript for data processing and API integrations. Experience integrating LLM APIs, such as OpenAI, into business workflows, including prompt design. Practical knowledge of REST APIs, webhooks and authentication methods, including OAuth and API keys. Git, Docker and basic Linux server administration are a plus. Languages: English B2, Russian C1. Key Soft Skills Independence, ownership and accountability. A structured approach and attention to detail. Clear communication with non-technical users. Analytical thinking and pragmatic problem-solving. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. Recognition of personal milestones and achievements.

Location: Serbia Workplace: fully About Us We are a recruitment agency specializing in fintech and iGaming. We help international companies find and hire strong professionals across Europe and beyond, offering both recruitment and staffing services. Role Overview Take ownership of the automation stack and turn manual processes into reliable workflows used every day. You will work across n8n, PostgreSQL, JavaScript and AI integrations, with the scope to improve existing systems and build new solutions. The work involves Docker and Git, and close collaboration with skilled colleagues across the business. Key Responsibilities Build and improve n8n workflows connecting recruitment, sales and finance tools. Design PostgreSQL tables and views, write reporting queries and maintain consistent data across systems. Write JavaScript in n8n Code nodes for data transformation, API calls and custom logic. Build AI-powered steps for candidate scoring, data enrichment and text generation, including prompt design and model cost control. Integrate tools through REST APIs and webhooks, and adapt integrations when vendor APIs change. Monitor workflow runs, investigate failures and resolve root causes. Gather requests from recruiters, team leads and finance, then deliver working solutions. Document workflows, the data model and key technical decisions. Requirements Proven experience automating business processes used daily by non-technical teams. Hands-on experience building and maintaining production workflows in n8n. PostgreSQL skills in schema and view design, complex SQL reporting and data synchronisation. Working knowledge of JavaScript for data processing and API integrations. Experience integrating LLM APIs, such as OpenAI, into business workflows, including prompt design. Practical knowledge of REST APIs, webhooks and authentication methods, including OAuth and API keys. Git, Docker and basic Linux server administration are a plus. Languages: English B2, Russian C1. Key Soft Skills Independence, ownership and accountability. A structured approach and attention to detail. Clear communication with non-technical users. Analytical thinking and pragmatic problem-solving. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. Recognition of personal milestones and achievements.

Location: Tbilisi, Georgia Workplace: fully About Us We are a recruitment agency specializing in fintech and iGaming. We help international companies find and hire strong professionals across Europe and beyond, offering both recruitment and staffing services. Role Overview Take ownership of the automation stack and turn manual processes into reliable workflows used every day. You will work across n8n, PostgreSQL, JavaScript and AI integrations, with the scope to improve existing systems and build new solutions. The work involves Docker and Git, and close collaboration with skilled colleagues across the business. Key Responsibilities Build and improve n8n workflows connecting recruitment, sales and finance tools. Design PostgreSQL tables and views, write reporting queries and maintain consistent data across systems. Write JavaScript in n8n Code nodes for data transformation, API calls and custom logic. Build AI-powered steps for candidate scoring, data enrichment and text generation, including prompt design and model cost control. Integrate tools through REST APIs and webhooks, and adapt integrations when vendor APIs change. Monitor workflow runs, investigate failures and resolve root causes. Gather requests from recruiters, team leads and finance, then deliver working solutions. Document workflows, the data model and key technical decisions. Requirements Proven experience automating business processes used daily by non-technical teams. Hands-on experience building and maintaining production workflows in n8n. PostgreSQL skills in schema and view design, complex SQL reporting and data synchronisation. Working knowledge of JavaScript for data processing and API integrations. Experience integrating LLM APIs, such as OpenAI, into business workflows, including prompt design. Practical knowledge of REST APIs, webhooks and authentication methods, including OAuth and API keys. Git, Docker and basic Linux server administration are a plus. Languages: English B2, Russian C1. Key Soft Skills Independence, ownership and accountability. A structured approach and attention to detail. Clear communication with non-technical users. Analytical thinking and pragmatic problem-solving. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. Recognition of personal milestones and achievements.

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Привет! Мы формируем новое направление — Лабораторию ИИ в управлении по развитию операционной эффективности и товародвижения. Наша цель — не просто автоматизировать рутинные операции с помощью ML/AI, а амбициозно переосмыслить привычные процессы и найти новые способы решать бизнес-задачи с помощью технологий. Здесь важны творческий подход, готовность экспериментировать и превращать идеи в работающие решения. И сейчас мы ищем RPA инженера, который в рамках глобальной трансформации компании будет помогать с автоматизацией рутинных и нерутинных кейсов: выявлять области, где сотрудники тратят много времени на кейсовые задачи и автоматизировать их. Стек технологий: Python, pandas, BeautifulSoup (bs4), Playwright, Selenium, PyAutoGUI, tenacity, pytest, REST API, SOAP, Oracle, ClickHouse, MS SQL Server, Git, Docker, CI/CD, FastAPI. Задачи Выявлять и приоритизировать процессы для автоматизации (высокочастотные, рутинные, с чёткими правилами) Оценивать потенциал эффекта от автоматизации Создавать ботов и сценарии на low-code платформах с использованием AI-узлов Настраивать простых AI-агентов для работы с контентом и таблицами, а также автоматизированные сценарии с использованием платформ автоматизации Разрабатывать технические задания на автоматизацию процессов. Автоматизировать сбор данных, аудит и подготовку регулярных отчётов Настраивать интеграцию рабочих инструментов (почта, мессенджеры, CRM, таблицы) Организовывать проверку сценариев (функциональное, нагрузочное тестирование, обработка исключений) Внедрять автоматизированные процедуры в продуктивную среду Контролировать работу сценариев, обрабатывать ошибки, выполнять доработки Поддерживать и дорабатывать существующие скрипты Оценивать эффект от внедрения автоматизации Документировать настроенные автоматизированные сценарии Обучать сотрудников созданию простых автосценариев Обучать сотрудников работе с автоматизированными процедурами (взаимодействие, эскалация ошибок, контроль результатов) Требования Образование: законченное высшее или среднее специальное техническое (программирование, автоматизация) От 2-х лет опыта разработки RPA-решений (ROBIN, UiPath, Power Automate, Blue Prism или Python-скрипты) Опыт работы с API, базами данных, Excel, OCR. Скриптинг на Python, VBA, SQL, JavaScript Опыт с отладкой и обработкой исключений в автосценариях Понимание основ кибербезопасности при работе с учётными данными Условия ДМС со стоматологией и льготными условиями для членов семьи Технику для работы График работы с гибким началом дня Работу в максимально уютном офисе в Краснодаре или Москве, Санкт-Петербурге, Иннополисе (гибрид) Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах Развитие – мы оплачиваем обучение на курсах и участие в конференциях Наличие корпоративных скидок PRIMEZONE и программ лояльности от компании Наличие корпоративной библиотеки курсов Возможность рекомендовать компанию своим друзьям, участвуя в реферальной программе Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Location: Hybrid; In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations: Austin, Lisbon, San Francisco, NYC, or London About the Role Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and more than half of the traffic reaching sites on Cloudflare is now automated . Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet. Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web. AI Search (internal data), now generally available , is the search primitive for applications and agents . It is a fully managed indexing and retrieval pipeline built on Workers AI , Vectorize , R2 , and Browser Run . Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs. Web Search API (external data), now in open beta , gives agents real-time web context with a single API call. It runs on AI Gateway , so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from multiple search providers and always get results back in one normalized format. Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike. What You’ll Do Talk directly with developers, AI companies, publishers, and customers every day. Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation. Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release. Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability. Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data, Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like NLWeb . Partner with engineering, ML, and product teams across Workers AI , Vectorize , AI Gateway , Browser Run , and AI Crawl Control , as well as Marketing, DevRel, BD, Sales, and Support. Represent Cloudflare at conferences, community events, and customer and partner meetings. Examples of Desirable Skills, Knowledge, and Experience Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact. Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost. Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation. Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break. Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad. Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms. Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet. Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus. Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals. Passion for design details and polish. You raise the bar for sweating the details. External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility. Compensation Compensation may be adjusted depending on work location. For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000 For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000 For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POCs through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ RESPONSIBILITIES Leadership - Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. - Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization. - Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives. - Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed. Team Management - Lead a team of Solution Architects who will: - Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. - Professional Software engineering experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: European Union What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Задачи: — Участие в разработке новых мобильных и веб-продуктов, а также поддержка и развитие существующих проектов. — Разработка мобильных приложений на React Native с использованием Expo и Expo Router. — Создание и поддержка веб-сайтов и приложений на React и Next.js. — Реализация интерфейсов по дизайн-макетам с обеспечением адаптивности и корректной работы в разных браузерах. — Разработка переиспользуемых компонентов и поддержка архитектуры проектов. — Интеграция REST API, работа с запросами, состоянием приложения, кешированием данных, обработкой загрузки и ошибок. — Анализ существующей кодовой базы, доработка функциональности, исправление ошибок и проведение рефакторинга. — Поиск и устранение проблем производительности веб-приложений. — Участие в обсуждении технических решений и оценке задач. Требования: — От двух лет коммерческого опыта frontend-разработки. — Уверенное владение JavaScript ES6+, TypeScript и React. — Практический опыт разработки на Next.js, понимание SSR, SSG, ISR, Server Components и Client Components. — Обязательный практический опыт разработки мобильных приложений на React Native с использованием Expo и Expo Router. — Уверенное владение HTML и CSS, опыт адаптивной и кроссбраузерной вёрстки. — Опыт работы с REST API, управлением состоянием, асинхронными запросами и кешированием данных. — Умение создавать переиспользуемые компоненты и понимание принципов Feature-Sliced Design. — Понимание основных подходов к оптимизации производительности веб-приложений. — Опыт работы с Git, ESLint и Prettier. — Навыки разбора задач, уточнения требований, работы с существующим кодом, внимательность к деталям интерфейса, умение объяснять технические решения и применять обратную связь. Условия: — Работа в офисе в Кемерово. — Удалённый формат не рассматривается. О компании: Мэйк — digital-агентство, специализирующееся на проектах для промышленности и госсектора. Работает с 2009 года, в команде 50 специалистов. Среди клиентов — Правительство Кузбасса, Роскосмос, Правительство ЯНАО, Ростелеком, Мегафон и другие.

Senior .NET Developer / C# Developer IT Вакансии Ищем опытного .NET-разработчика для работы над крупными высоконагруженными системами в банковской сфере в компании Зонтик.

Zадачи: — Администрирование систем и инфраструктуры компании. — Работа с SQL, Active Directory, Zabbix, PowerShell, Linux, Windows Server, Hyper-V. Требования: — Опыт работы от 3 до 6 лет. Условия: — Работа в офисе в городе Ташкент. — Зарплата от 8 000 000 до 15 000 000 сум. Подробности и отклик по ссылке: https://tashkent.hh.uz/vacancy/139408508

Требования: — Законченное высшее образование. — Опыт разработки крупных высоконагруженных систем. — Отличное знание C#. — Опыт работы с MS SQL Server (T-SQL) или другими СУБД, включая оптимизацию запросов и работу с большими объёмами данных. — Разработка Web API (REST). — Применение IoC-контейнеров. — Понимание архитектуры и технологий безопасности в корпоративных приложениях. — Знание принципов CI/CD и опыт работы с git. — Опыт разработки от 6+ лет. — Знание Kafka и PostgreSQL. — Опыт работы с микросервисной архитектурой. — Дополнительно приветствуется опыт разработки и проектирования интернет-банков, знание банковских предметных областей. — Опыт работы с JIRA и Confluence. — Приветствуется опыт в банковской сфере на кредитном направлении. Условия: — Работа только на территории РФ с соблюдением строгих требований безопасности. — Первый месяц работы строго в офисе, далее возможна работа по необходимости. — Фактическое присутствие и онбординг в городах: Москва, Санкт-Петербург, Самара, Ярославль.