Вакансии

Location: Москва Antifraud –это система, которая предотвращает хищение денежных средств клиентов. Мы входим в топ 5 самых нагруженных автоматизированных систем Сбера. Если вы талантливый и амбициозный специалист в сфере ИТ, если вы хотите вместе с нами развивать лучшие продукты для лучших клиентов и уверенно отвечать за результаты, то мы рады принять Вас в команду. Обязанности * сопровождение и мониторинг отклонение в работе автоматизированной системе Антифрод * самостоятельное выполнение технических и проведение регламентных работ на АС * администрирование, сопровождение и развитие используемых систем мониторинга * выполнение запросов на обслуживание в рамках своих компетенций - ведение базы знаний, подготовка инструкций для дежурной смены * установка обновлений на сервера (ОС, СУБД), устранения МПР Требования * опыт администрирование современных автоматизированных систем/приложений - опыт работы с инструментами мониторинга ИТ-систем: ElasticSearch (OpenSearch), Grafana, Zabbix * опыт работы с серверными ОС (Linux), базовые знания использования консоли на Linux и на СУБД SQL * знание процессов и терминологии ITSM * стрессоустойчивость, умение работать в команде, обучаемость и нацеленность на результат. Будет плюсом: * опыт работы с инструментами мониторинга Zabbix, ELK, Kibana, Grafana. * опыт работы с Kafka; * опыт работы с БД (PostgreSQL); * опыт работы с Prometheus; Условия * работа в офисе, график 2/2 с 11:00 до 23:00 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

созданием устойчивых систем и услуг с определенным уровнем обслуживания и безопасности; консультированием по вопросам проектирования безопасных информационных систем, планированием мощности, осуществлением поддержки VCenter ДКБ с решениями ИБ и SOC на ELK;

Location: Москва Наша команда Majors занимается сопровождением автоматизированных систем банка. Обязанности * администрирование и конфигурирование систем на основе микросервисной архитектуры в распределенной среде * построение мониторинга компонентов АС, мониторинг, решение инцидентов и проблем * участие в планировании и проведении регламентных работ на тестовых и промышленных стендах * взаимодействие с командами разработки, формирование требований к надежности и отказоустойчивости системы * конфигурирование и настройка тестовых и промышленных стендов с помощью инструментов DevOps * проведение приемо-сдаточных испытаний (ПСИ) новых версий ППО, выполнение прикладных настроек, проверка работы функционала на соответствие эксплуатационным требованиям, регистрация дефектов. Требования * практическое владение стеком ELK (Elasticsearch, Logstash, Kibana) для анализа журналов и диагностики * практический опыт работы с микросервисной архитектурой: Docker compose\\Red Hat OpenShift\\Kubernetes (K8S), работа с helm-чартами * понимание основ и принципов работы Kafka, ELK, Prometheus, Jira, Jenkins, Ansible - обязательно * умение работать в linux терминале (без GUI), опыт в написании shell - скриптов для задач малой автоматизации * уверенное знание SQL, знание и понимание архитектуры СУБД PostgreSQL * опыт работы с системами сбора логов и мониторинга (graylog, kibana, splunk, Grafana, и т.д.) * знание технологий HTTP REST * понимание практик и философии DevOps, опыт построения CI/CD конвейеров и playbooks, знание ArgoCD/GitOps – как плюс; * умение применять ИИ инструменты. Условия * комфортный современный офис рядом с м. Кутузовская * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * программа ипотеки для сотрудников * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

• Руководить командой, планировать и приоритизировать работу, проводить код‑ревью и контролировать качество решений. • Определять архитектуру и технологический стек проектов.

• Участие в проектировании информационных систем искусственного интеллекта в части формирования и выполнения требований информационной безопасности; • Проектирование взаимодействия с системами обеспечения безопасности информации (IAM/IDM/PAM/DLP/SIEM и т.д.);

созданием устойчивых систем и услуг с определенным уровнем обслуживания и безопасности; консультированием по вопросам проектирования безопасных информационных систем, планированием мощности, осуществлением поддержки VCenter ДКБ с решениями ИБ и SOC на ELK;

Location: Москва Наша команда ищет Senior Data Scientist, который будет заниматься разработкой ключевых GenAI-инициатив в канале ВСП. Вам предстоит с нуля выстраивать end-to-end пайплайны: от исследования и прототипирования до вывода в продакшен интеллектуальных агентов и ML-моделей. Вы будете отвечать за полный цикл создания ценности — от бизнес-гипотезы до работающего продукта. Обязанности **Что предстоит делать:** * Проектировать и внедрять в продакшен мультиагентные системы (orchestrator–workers, ReAct, Plan-and-Execute). * Строить продакшен-RAG (гибридный поиск, ANN/HNSW, query rewriting, GraphRAG). * Разворачивать harness для агентов, настраивать guardrails, трейсинг траекторий и проводить A/B-тесты версий (промпт/модель/инструменты). * Оптимизировать LLM-пайплайны (DSPy / MIPROv2, управление контекстом и памятью). * Дообучать модели (SFT, LoRA/QLoRA) под ру-домены и внедрять function calling / MCP. Требования * **Релевантный опыт работы от 5 лет** * **Агенты:** LangChain, LangGraph (обязательно); LlamaIndex, CrewAI (опционально). * **ML/NLP:** трансформеры, attention, prompt engineering (CoT, few-shot), Fine-tuning. * **RAG и поиск:** Qdrant, Elasticsearch или FAISS. * **Оценка:** LLM-as-a-Judge, Inspect AI / RAGAS / DeepEval, матстатистика для A/B-тестов. * **Классический ML:** CatBoost, XGBoost, скоринг, предотвращение утечек. * **MLOps:** Python (продакшен-код, ООП), Docker, k8s, CI/CD, MLflow/WandB, мониторинг data drift. * **Инференс:** vLLM, Triton, TensorRT/ONNX, квантизация, оптимизация latency и стоимости. Условия * Гибкий гибрид (обсуждаем индивидуально). * Современный IT-офис вблизи Москва-Сити с фитнес-залом. * Ипотека с выгодой для сотрудника и льготные условия кредитования. * Бесплатная подписка СберПрайм+. * Скидки на продукты компаний-партнеров. * ДМС с первого дня и льготное страхование для близких. * Корпоративная пенсионная программа. * Обучение за счет компании: онлайн-курсы в онлайн-школе Сбера и неограниченный доступ к библиотеке, обучение в Корпоративном университете, тренинги, митапы и возможность получить новую квалификацию. * Крупнейшее DS&AI Community — более 600 DS-банка, регулярный обмен знаниями, опытом и лучшими практиками, интерактивные лекции и мастер-классы от ведущих ВУЗов и экспертов технологических компаний, дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира.

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is certified as a Great Place To Work® in the US, recognized as a TIME & Statista Excellent Workplace, honored with the TrustRadius Tech Cares Award for Diversity & Inclusion, and rated 4.7 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. Now we are looking for a Senior Backend Developer to join our rapidly growing team. This is an amazing opportunity to join Sumsub and make an immediate and real impact on the future of our product. Our Stack: Main language: Java 17 Java Framework: Dropwizard / Restler DB: MongoDB / ClickHouse / Redis Others: Apache Kafka / Kafka Streams / Elasticsearch / OpenSearch (k-NN) / Airflow What You Will Be Doing: Development of data processing algorithms related to remote identification / authentication of individuals (both product and technical). Improvement and development from scratch of internal tools for compliance officers. Test driven development and A/B testing. Optimization and automation of CI/CD pipelines to increase reliability and deployment speed. Monitoring, troubleshooting, and performance tuning of cloud infrastructure and distributed systems. About You: Good command of the English language Familiarity with our development stack Understanding of product and a passion for building software that provides a great experience Experience developing clean, high-quality code and automated tests to verify its operation Team player, strong communication skills, and empathy Demonstrated strong analytical and problem-solving skills What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Assignment -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Remote - Global Workplace: Remote We're hiring a Software Engineer to join a growing team building products that reach hundreds of thousands of people thinking about how to do the most good. This is an individual contributor role on our Online Team, and will be responsible for prioritizing and implementing impactful technical work at CEA. This position reports to the incoming Head of Digital Product. You will collaborate closely with our Senior Software Engineer, Senior Product Designer, and EA Forum Product Lead, along with other teams at CEA as needed. We’re aiming to hire a mid-level software engineer, but we would consider hiring at the senior level for the right candidate. ABOUT CEA The Centre for Effective Altruism (CEA) stewards the movement of people putting effective altruism principles into practice to solve the world's most pressing problems. We’re working to build a flourishing future by applying evidence, reason, and compassion to challenges like global poverty, animal suffering, and existential risks. Our work centers on growing and supporting a global community of people who rigorously analyze where they can do the most good – and take action on those insights. Current strategic priorities https://forum.effectivealtruism.org/posts/QkE35oTsasMn37o7R/stewardship-cea-s-2025-26-strategy-to-reach-and-raise-ea-s-1 include increasing understanding of effective altruism and its principles, growing the number of people who are motivated by EA principles to take significant action to address pressing problems, and diversifying funding sources for high-impact work. We had significant success in 2025, building momentum within CEA. Our headcount grew from 42 to 66 core staff. Participation in our programs (e.g., events, courses, groups) grew by 20-25% year over year. We merged https://forum.effectivealtruism.org/posts/BLvTcMMEQGFYsh6Jw/ea-funds-and-cea-are-merging with EA Funds https://funds.effectivealtruism.org/ and are rapidly scaling up our capacity for grantmaking and associated fundraising: our first Fund staffed with full-time employees (EA Animal Welfare Fund https://funds.effectivealtruism.org/funds/animal-welfare), raised almost as much as the previous three years combined. In 2026, we’ve maintained ambitious momentum https://forum.effectivealtruism.org/posts/Dy4iGHbAkKAQ4t2Dw/building-sustainable-momentum-progress-report-on-cea-s-2025 while laying the foundations for a step-change in the wider EA ecosystem’s growth trajectory from 2027 onwards. ABOUT THE ONLINE TEAM The Online Team is a small, fast-paced tech and content team with the expertise to build and run web products that help support and grow the number of people engaging with and applying EA principles to their careers, research, and donations. We own and operate the EA Forum https://forum.effectivealtruism.org/, and provide critical design and engineering capacity for other CEA projects such as the EA Newsletter https://www.effectivealtruism.org/ea-newsletter-archives, the EA Opportunities Board https://www.effectivealtruism.org/opportunities, and our courses https://www.effectivealtruism.org/courses. Over the last few years we’ve also redesigned and rebuilt effectivealtruism.org http://effectivealtruism.org, funds.effectivealtruism.org http://funds.effectivealtruism.org, and centreforeffectivealtruism.org http://centreforeffectivealtruism.org. The EA Forum in particular is one of the EA community building institutions with the widest reach, serving 700K annual visitors. As AI capabilities improve, we’re also exploring how integrating AI into CEA’s online product portfolio and internal tooling can help us have more impact. Our team currently consists of Ollie Etherington https://github.com/oetherington, Senior Software Engineer, Agnes Stenlund https://www.linkedin.com/in/agnesstenlund/,Senior Product Designer, and Toby Tremlett https://www.linkedin.com/in/toby-tremlett-%F0%9F%94%B9-56a5b117a/, EA Forum Product Lead, and we plan to continue expanding in 2027. ABOUT THE ROLE CEA has ambitious goals https://forum.effectivealtruism.org/posts/Dy4iGHbAkKAQ4t2Dw/building-sustainable-momentum-progress-report-on-cea-s-2025 for 2027 and beyond, and we need more software engineering capacity in order to reach those goals. We’re now looking to hire a full-stack engineer who can help make impactful improvements across all of our products. You’ll be implementing new features and bug fixes for various product managers, as well as proactively looking for ways to improve our online products yourself. You’ll be jointly responsible for DevOps, ensuring that all of our sites are fast and reliable, and you’ll take part in our weekly on-call rotation. The vast majority of our code is written in TypeScript and is built on Node.js, React, Next.js, Postgres, and Elasticsearch. Our sites are hosted on Render, Vercel, and Cloudflare, and our analytics data is stored and processed in PostHog. Some potential projects you may work on: - We’re deep in the process of migrating https://gitlab.com/eaforum/eaforum the EA Forum codebase over to Next.js – if you join, you can help us establish the next evolution of key EA community infrastructure, which we hope will set stronger foundations for many years to come. - We’ve recently hired product managers for the EA Opportunities Board https://www.effectivealtruism.org/opportunities and our courses https://www.effectivealtruism.org/courses who will continue driving these projects forwards – some of the changes they’re planning will require engineering. - EA Funds https://funds.effectivealtruism.org/ is now part https://forum.effectivealtruism.org/posts/BLvTcMMEQGFYsh6Jw/ea-funds-and-cea-are-merging of CEA, and has not had dedicated technical capacity in a long time. Their team would be excited to collaborate on how to make their processes more efficient using AI (they already have a long list of ideas!) - In 2026, we’ve massively overhauled our analytics and data infrastructure, and we’d be excited for a data-minded engineer to continue pushing this project forward. Having a strong data foundation will be crucial for CEA’s ability to find product-market-impact fit https://forum.effectivealtruism.org/posts/DyncXLQ2ysb9K9dfR/you-need-user-buy-in-to-scale-your-impact to scale up our products. - CEA is expecting to lean into virtual products in 2027, including running at least one major virtual event. KEY RESPONSIBILITIES Provide engineering support for multiple CEA teams - Implement features and fix issues in our current products to support the work of others on the team. - Proactively collaborate with other CEA teams to understand where you can provide value and fill technical gaps, such as by building internal tooling. - Ship reliable, maintainable production code, and address high-priority bugs when they come up. AI tools can make us faster, but our work still needs to hold up over time. - Ensure that we’re collecting relevant metrics and analytics data, and that it can be used by non-technical members of staff to inform decision-making. - Share our weekly on-call rotation with our Senior Software Engineer, Ollie, triaging incoming requests and responding to urgent issues. IMPROVE ENGINEERING INFRASTRUCTURE - Help maintain and improve infrastructure, monitoring, deployments, and testing. - Identify high-priority DX problems and develop solutions to help the team work more efficiently. - Make justified and cost-effective decisions about what technologies and services we use to build our products. WHAT WE’RE LOOKING FOR We're hiring this role at either the Software Engineer or Senior Software Engineer level. The core expectations below apply to both, with additional expectations for the senior level noted at the end. Core expectations for both levels: - Solid full-stack engineering experience. You can independently build and maintain a product like an online forum (frontend, backend, databases, devops, and 3rd-party integrations). You explain your technical decisions clearly enough that teammates can push back. As a baseline, we expect you to be familiar with TypeScript, React, and Postgres, and that you can pick up our other technologies quickly. You write appropriate tests for new functionality. - Impact focus. You care about real outcomes and not just shipped features. You gather data, evaluate your work, and iterate quickly. You're excited to explore new opportunities to use software to increase CEA’s impact. - Autonomy. You're comfortable being one of two engineers in the organization, and can learn new skills as needed. You’re happy to own the technical-side of a project, working with non-technical product managers to implement ideas end-to-end, including proactively asking for support when necessary. - AI fluency. You’ve used AI coding agents and have developed good judgment about where they help, where they fail, and how to verify their output. You can use them to speed up your work, but never at the expense of code architecture or maintainability. YOUR CANDIDACY WILL BE STRONGER THE MORE YOU ALSO BRING: - Devops. You have experience provisioning servers and databases for sites serving hundreds of thousands of active users. You can mitigate adversarial bot attacks, and set sensible, safe caching rules. - Prioritization. You back-chain from organizational strategy to prioritize work on different products, and can work with product owners to provide realistic and achievable timelines for implementing changes and new features. - Product thinking. You notice particularly good or bad user experiences and reflect on what makes them so, and you can combine these intuitions with targeted analytics data in order to tangibly improve products. To be considered for the Senior level of this role, we require a candidate to meet the following criteria: - Architectural ownership. You have a track record of independently owning the technical direction of a significant project (such as a major refactor or a new product), being clear about the tradeoffs you made and how you will address key risks. - A track record of impact. You have a history of shipping production work that mattered to real users, and can point to specific cases where your work moved real outcomes. - Strategic autonomy. You can take technical ambiguity and turn it into a credible plan, including translating broad goals into quarterly OKRs and contributing to technical direction at the team level. We can imagine being excited about candidates with a wide range of different skills and experience, and encourage you to apply even if you aren't sure that you're fully qualified. OTHER INFORMATION - This is a full-time, remote position. We prefer applicants who are able to work in time zones between US Eastern Time and CET. - We have an office in Oxford, UK, that you would have access to. - Start date: January 2027 or sooner - Reports to: Incoming Head of Digital Product (Joris Pijpers, Chief of Staff, Community Growth in the interim) - Compensation - Software Engineer - US: For this role we offer a base salary of $134,900 and a 10% unconditional 401k contribution. - Senior Software Engineer - US: For the role we offer a base salary of $166,725 and a 10% unconditional 401k contribution. - For candidates outside the US, base salary is converted from USD to your local currency using a fixed exchange rate - Benefits include private health insurance, flexible work hours, a $6,000 annual professional development allowance, a $6,000 mental health support allowance, extended parental leave, ergonomic equipment, 25 days of paid vacation or country-specific time off entitlements, whichever is greater. - This role will involve travel. There are likely 2-4 trips annually to attend team retreats and other events, including international trips. We are committed to fostering a culture of inclusion and encourage individuals with diverse backgrounds and experiences to apply. We especially encourage applications from self-identified women and people of colour who are excited about contributing to our mission. The Centre for Effective Altruism is an equal opportunity employer. If you need assistance or an accommodation due to a disability, or have any other questions about applying, please contact jobs@centreforeffectivealtruism.org or inform the recruiter directly. CEA participates in E-Verify for US employees. We are committed to protecting your data. See our privacy policy https://www.centreforeffectivealtruism.org/privacy for more information. EVALUATION PLAN We expect the interview process to include the following steps, subject to minor changes: - Application - Screening interview - Engineering interview - Pair programming task - Final interviews (2-3) - Reference checks

- Коммерческий опыт Java-разработки от 1 года (Junior+). - Уверенное знание Java и Spring Boot.

💡 What you'll work on. • Backend development in Python.

– Опыт коммерческой разработки от 4 лет. – Уверенное владение Scala.

Bitrefill is looking for a Backend Developer to build and maintain scalable backend systems for crypto payments and supplier integrations.

Функциональное, интеграционное и сквозное тестирование веб-сервисов, консольных приложений; Создание и контроль баг-репортов в баг-трекинговой системе (Jira).

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced Fullstack Python Developer to work at a long-term online education project, offering great flexibility in technology and approaches, and a friendly and positive team atmosphere. We offer 100% remote, full-time work with a flexible schedule Requirements: 5+ years of Python development experience Familiarity with Python web frameworks: Django, Flask, or FastAPI Experience with JavaScript, React Extensive experience with relational databases, especially PostgreSQL Proven experience designing, building, and operating high‑load systems and processing large volumes of data Hands‑on experience with AWS or other cloud platforms Confident working in Linux environments and writing shell scripts for automation and ops tasks Strong spoken English (Intermediate or higher) Nice-to-have еxperience with ClickHouse, Elasticsearch, GraphQL APIs Working conditions: Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Hybrid 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. Available Locations: Lisbon, Portugal or London, UK About the Role Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. The Role CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. What You Might Work On Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and identify transit provider policy change that is required to resolve. Diagnose a recurring WebSocket disconnect a media customer has been experiencing across multiple release cycles. Isolate it to a specific interaction between a Cloudflare service release and the customer's connection lifecycle. Drive the fix with the owning engineering team. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. Responsibilities Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. Requirements Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. Strong foundation in networking and security: TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. Routing protocols: BGP, OSPF, including path selection and route propagation. Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. VPN and encryption: IPSec, SSL/TLS tunnels, GRE. Zero Trust architecture, network segmentation, modern security models. Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. Desired Skills & Experience SRE, DevOps, or platform engineering experience with direct customer-facing accountability. Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. Data-at-scale analysis using SQL, PromQL, or equivalent. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. Experience applying AI/ML to production engineering or operational workflows. Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. Bonus Points Active Cloudflare user who understands the platform as a practitioner. Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. Cloud networking and security experience across AWS, Azure, or GCP. Web programming (HTML, JavaScript) and regular expressions. Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. Compensation ● For Portugal based hires: Estimated annual salary is between € 61,000 - 84,000 The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. 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.

Задачи: — Разработка и развитие backend-сервисов для высоконагруженных систем Kaspi — Участие в архитектуре и code review — Поддержка сервисов в production Требования: — Коммерческий опыт разработки на Java от 2 лет — Опыт реактивной разработки в продакшене (Project Reactor / Spring WebFlux, Vert.x или другой non-blocking framework) — Java 11+ и готовность работать с Java 21 — Spring Boot — Понимание REST API, HTTP, JSON и принципов распределенных систем — Опыт работы с БД — Unit- и интеграционные тесты — Свободный русский, английский на уровне чтения документации — Java 11+/21, Project Reactor, Spring WebFlux, Spring Boot, REST API, базы данных, брокеры сообщений, Git, Maven/Gradle — Плюсом Kafka, Redis, MongoDB, Elasticsearch, Docker, Kubernetes, HashiCorp Vault Условия: — Полная занятость, график 5/2 — Работа в офисе в Алматы Компания: Kaspi.kz — казахстанская компания, суперприложение: платежи, маркетплейс, банкинг.