Вакансии

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. Customer Solutions Architect About the role The Customer Solutions Architect (CSA) is the primary post-sales technical owner for our existing customers, helping them get the most value from the combined Fivetran and dbt platform. Working alongside Account Executives (AEs) and Solutions Engineers (SEs), the CSA makes sure customers not only deploy successfully, but keep scaling and expanding their usage over time. This role operates as a technical account manager and strategic advisor, bridging the gap between onboarding success and long-term growth. The CSA owns the technical narrative after go-live: monitoring an existing book of business, leading technical discussions, uncovering new data challenges, and guiding customers through architecture evolution, adoption, and expansion through live demos and technical workshops. Unlike implementation-focused roles, the CSA is accountable for both retention and growth, and is measured on incremental ARR, Net Revenue Retention (NRR), and Gross Revenue Retention (GRR). You will act as a trusted advisor, advocate, and accelerator, ensuring customers derive maximum value from their data investments while aligning their technical roadmap with the platform's capabilities. Location: Denver, CO (hybrid). This is a full-time position, and candidates must be located in Denver and able to work in the office two days a week (Tuesday and Thursday). What you'll do Customer Adoption and Value Realization Own post-sales technical engagement across a portfolio of assigned Commercial and Enterprise accounts Drive adoption, optimization, and ongoing usage of the platform, moving customers from initial deployment to sustained, scalable success Educate customers on new products and features as they launch, and on existing capabilities they may not be using Deliver enablement sessions, workshops, and best-practice guidance Monitor account health signals (usage, performance, support trends) and proactively intervene to address churn or contraction risks, including running implementation reviews and healthcheck sessions Expansion and Growth Identify, validate, and execute expansion opportunities across business units, regions, and use cases, including opportunities to bring both Fivetran and dbt into an account Translate customer initiatives into scalable data workloads and technical solutions Partner with AEs to drive incremental ARR through structured expansion plays and a managed expansion pipeline Lead technical validation of new workloads, including workshops and, where necessary, proofs of concept (POCs) Replicate successful use cases across the organization to accelerate growth Provide strategic input on the customer lifecycle and renewals process Technical Strategy and Architecture Define and maintain Enterprise Reference Architectures aligned to customer environments, ensuring architectural consistency and scalability across implementations Guide customers on best practices for data pipelines, transformation, automation, and platform adoption Maintain technical artifacts such as architecture documentation, design patterns, and knowledge bases Stakeholder Engagement and Account Planning Build and maintain strong relationships with technical, operational, and executive stakeholders, using stakeholder maps and multi-threaded engagement strategies Run regular technical cadence calls, business reviews, and roadmap sessions Contribute to Mutual Account Plans and own Mutual Success Plans, mapping whitespace opportunities across business units, subsidiaries, and use cases Align customer technical strategy with business objectives and commercial plans Internal and Partner Collaboration Act as the technical orchestrator across Sales, Professional Services, Product, and Engineering, keeping delivery teams aligned with long-term expansion strategy Advocate for customer needs internally, influencing the product roadmap and priorities Collaborate with technology partners (e.g., Snowflake, Databricks, AWS, GCP) to drive joint value Help improve team processes, refine assets, and enable teammates through our knowledge-sharing loop Thought Leadership Contribute to and deliver external-facing content through live events, speaking engagements, blog posts, recorded tutorials, or other educational resources Work closely with Regional and Product Marketing teams to support field and industry events Support senior leadership in aligning field and industry requirements with the product roadmap, collaborating with Product and Product Marketing under their guidance. What you bring 2+ years of experience in a post-sales, customer-facing technical role, such as Solution Architect, Technical Account Manager, or Customer Success Engineer Strong ability to own and drive customer outcomes after the sale, including adoption, renewal, and expansion Solid technical background, with experience designing scalable data architectures, a firm understanding of modern data warehousing and the analytics stack, and SQL proficiency Ability to translate business objectives into technical solutions and measurable outcomes Strong stakeholder management skills across technical and non-technical audiences, and a high degree of comfort presenting to diverse audiences A proactive, self-sufficient, and highly organized approach to managing multiple accounts Comfort operating strategically while also engaging in deep technical discussions Ability to operate in an ambiguous, fast-paced environment and think on your feet in customer conversations A team-player mindset, both within the CSA team as we evolve our ways of working and in daily collaboration with AEs and SEs Openness to travel: we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed What Will Make You Stand Out Hands-on experience with dbt; dbt certification is a bonus SQL knowledge, with a working understanding of AI architecture, including LLMs, Knowledge Graphs, and RAG Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP) Background in data integration, ETL/ELT, or replication technologies, plus experience with ancillary tools, APIs, and managing data infrastructure Experience with workload-based or consumption-based sales models Familiarity with enterprise architecture frameworks and design patterns Experience working with system integrators or technology partners Technologies You’ll Use Databases: SAP HANA, Oracle, SQL Server, Postgres Data platforms: Snowflake, Databricks, BigQuery, Redshift Products: Fivetran, dbt platform Languages: SQL, Python, bash or PowerShell Networking: SSH tunneling, VPNs, PrivateLink Modern data stack tools and ecosystem technologies Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Technical Interview Team Interview Final Interview: Mock Demo Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. #LI-LC1 #LI-HYBRID #LI-MP1 OTE (On Target Earning) $155,000 — $175,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Anywhere; Europe, Middle East, Africa, Asia-Pacific (EMEA, APAC) Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Every year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE The AI Quality engineering team at Circle owns the foundation for measuring, diagnosing, and improving the quality of Circle's AI-powered features. This team focuses on building the infrastructure to measure, diagnose, and improve production AI systems, rather than ML research or model training. We're looking for a Lead Engineer to help us build out the evaluation frameworks, observability tooling, and diagnostic infrastructure that tell us whether our AI Agents are working well, where to improve them, and how to make them faster and more cost-efficient. This is a hands-on player-coach role. You’ll also lead and manage the AI Quality engineering team, with an ambitious and growing roadmap. If you're excited about making AI systems work reliably, efficiently, and at scale, this is for you. WHAT YOU'LL BE DOING - Build and own our evaluation infrastructure. Design the CI/CD pipelines, scorers, and datasets that tell us whether Circle's AI agents (planners, tool-callers, and sub-agents) are actually working, from a single tool call to a full multi-turn conversation. - Diagnose exactly where quality breaks down. Trace failures across the agent pipeline including plan creation vs. execution, tool selection, tool trajectory in complex areas like workflows, site builder, and analytics. Turn what you find into prototypes that solve the issue or identify priorities for AI core engineering can help. - Grow the datasets that make evaluation possible. Stand up annotation workflows and build out AI-generated and simulated conversations so we can cover more of the product faster than manual labeling alone. - Run structured experiments across prompts, models, and the agent harness. Evaluate new and open-source models against our production baseline, build the framework we use to decide when to shift models, and chase cost and latency wins through model swaps, caching, and routing by plan complexity. - Lead and grow the AI Quality engineering team. Set technical direction and manage day-to-day priorities, all while staying hands-on in the code yourself. - Partner closely with AI Core engineering. Work with the engineers building Circle's AI products so they have real confidence that their changes are actually improving quality, not just shipping. WHAT YOU'LL NEED TO BE SUCCESSFUL - 7+ years of experience building and shipping production software, ideally including LLM-powered agents that take real actions in a product. You've worked on complex, tool-using systems (multiple tools, planning or orchestration, sub-agents) not just simple, single-turn assistants, and you can walk us through something you shipped and how you knew it was actually working. - Comfortable in Ruby on Rails / Python or ready to pick them up quickly. Ruby on Rails is our production system and the foundation that Circle’s AI Agents are built on and proficiency in Python is a strong plus, especially for the data and evaluation side of the work. - Experience building evaluation or observability infrastructure for ML/AI systems. You've built eval pipelines, scorers, dashboards, or CI/CD for evals before and have experience with evaluation frameworks like Braintrust, LangSmith, or similar. - Experience designing datasets, annotation workflows, or labeling pipelines for ML/AI evaluation. You know how to turn raw examples into a dataset you can trust through human annotation, AI-generated data, or simulation. - Learn fast, experiment aggressively, and thrive in a highly dynamic environment. You’ll need to be comfortable running a lot of experiments and letting the results settle the argument, including the ones that don't work (which will be many of them in the beginning). - Comfortable in a fast-paced environment with ambiguity. You’ll need to learn and pick up new technologies when projects require it. - Strong alignment with our company values https://circle.so/careers. - You are proficient in English (spoken, written, and reading) at a CEFR Level C2 https://magoosh.com/english-speaking/english-proficiency-levels-a-guide-to-determining-your-level/ / ILR Level 5 https://www.govtilr.org/.   COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

Задачи: — Автоматизация тест-кейсов — Сопровождение и поддержка существующих автотестов — Запуск автотестов и анализ отчетов — Модернизация и оптимизация фреймворка автоматизации тестирования — Работа с документацией в Confluence, Swagger и ТестОпс Требования: — Коммерческий опыт автоматизации тестирования веб-приложений (SOAP, REST) на Python от 1 года — Знание теории и методик тестирования ПО — Знание и применение ООП и основных паттернов проектирования в автоматизации тестирования — Знание HTTP, REST, SOAP, клиент-серверной и микросервисной архитектуры — Знание SQL на уровне JOIN — Опыт разработки автотестов с pytest, requests и allure — Опыт работы с Git, CI/CD GitLab, брокерами сообщений Kafka и ActiveMQ, системами логирования Kibana и Grafana — Умение использовать естественный интеллект — Будет плюсом: опыт работы с Docker, K8s и 1C. Условия: — удаленная работа, полная занятость — официальное трудоустройство в аккредитованную IT-компанию — ДМС — предоставление техники при необходимости — обучение и развитие за счет компании — Также можно работать из офиса в Санкт-Петербурге.

Location: New Jersey; New York; Pennsylvania; Connecticut; Massachusetts Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. Requirements: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. No Visa sponsorship We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

- Участие в полном цикле анализа триггерных кампаний, пилотов и A/B-тестов. - Контроль корректности настройки кампаний и пилотов в CRM-системе: логика исключений, контрольные группы и A/B-тестирование.

Location: Москва В Центре Робототехники Сбера мы строим антропоморфного робота общего назначения. Наш робот вышел из стадии первых демонстраций — и мы переходим к надёжной автономной работе в реальных задачах. Локомоция и управление всем телом (Whole Body Control) — основа этой работы: именно от них зависит, насколько устойчиво и предсказуемо робот движется в реальном мире. Мы ищем инженера, который разрабатывает, обучает и доводит до робота RL-политики управления всем телом — от постановки задачи в симуляторе до стабильной работы контроллера на железе. Это роль для того, кто хочет видеть результат своих алгоритмов не в метриках на графике, а в том, как робот уверенно идёт, поворачивает и держит равновесие. Наша команда действительно работает над уникальным проектом в России, а у Вас будет прямой доступ к железу, Вы будете видеть результат своей работы в физическом мире. **Ключевые технологии:** Python, PyTorch, RL (PPO/SAC), MuJoCo/Isaac Sim, ONNX, C++, ROS2. Обязанности * разрабатывать, обучать и деплоить RL-политики локомоции и whole body control * подбирать observations, actions и типы моделей, которые дают максимальную производительность * находить и закрывать ключевые факторы в sim-to-real gap — добиваться, чтобы политика, обученная в симуляторе, работала на реальном роботе * определять, измерять и интерпретировать метрики качества обученных политик * доводить control stack до стабильной и предсказуемой работы в реальных условиях * настраивать reward-функции, domain randomization и curriculum под конкретные двигательные задачи * работать в связке с командами интеграции и middleware — доводить политику до надежного исполнения на железе. Требования * уверенное владение Python; знание C++ как плюс для интеграции на робота * опыт применения RL-алгоритмов для робототехники или управления (PPO, SAC и подобные) * понимание динамики и управления, в идеале — шагающих роботов * опыт подбора гиперпараметров и cost/reward-функций для RL * знакомство с типовыми техниками RL: domain randomization, curriculum learning, reward shaping * опыт работы с симуляторами (MuJoCo, Isaac Sim или аналоги) * способность самостоятельно разбираться в незнакомых системах и находить корневые причины проблем * желание брать ответственность за то, что политика работает на роботе, а не только в симуляторе. **Будет плюсом:** * опыт деплоя обученных политик на реальное железо * опыт с behavior cloning и дистилляцией политик * понимание основ теории управления, кинематики и динамики шагающих роботов * опыт работы с middleware робота (ROS2, DDS) * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Условия * комфортный современный офис г. Москва, МЦК ЗИЛ, Автозаводская 23а к2 * **формат работы - офис** * 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 вакансий уровня Junior) * 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.

Location: Москва Workplace: Гибридный О компании Ищем стажера инженера по данным в команду продукта МТС Cashback — это программа лояльности, которая позволяет получить от экосистемных сервисов МТС максимум впечатлений с большей выгодой и экономить на повседневных покупках у партнёров. Обязанности Разработка новых и поддержка существующих ETL‑конвейеров; Написание скриптов для извлечения данных из реляционных/NoSQL‑источников; Трансформация (очистка, нормализация, обогащение) данных и загрузка их в целевые хранилища; Мониторинг выполнения DAG‑ов (Airflow); Выявление и оперативное устранение ошибок загрузки; Своевременное информирование старших инженеров и бизнес‑пользователей. Требования базовые SQL, Python, Linux; навык работы с Apache Airflow будет плюсом; студенты 1 - 2 курсов бакалавриата или специалитета, и студенты колледжей, обучающиеся на любом курсе по ИТ-специальности Условия Развитие в командах профессионалов и опытный наставник, готовый делиться опытом; Мобильная связь за счет компании подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; Непрерывное развитие — доступ к курсам и вебинарам корпоративного университета и онлайн-библиотеке.

Location: London, England, United Kingdom 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Principal Infrastructure Engineer More than 80 million women open Flo every month to understand their bodies and their health. Every one of those sessions runs on infrastructure we build, and the data behind it is as personal as data gets. Keeping that fast and private at this scale is the job. Velocity runs the platform that every Flo engineer builds on: Kubernetes on AWS, the data stores behind our services, and the golden paths that let product teams ship without needing to be infrastructure experts. We treat our internal developers as our customers. You will: Own the foundations: Design and run the Kubernetes and data infrastructure behind 80 million monthly active users, and make it boring in the best sense. Turn expertise into self-service: Take what you know about running clusters and databases well, and build it into the defaults so product teams get it for free. What You Will Do Kubernetes at scale: Architect and evolve our EKS estate: cluster lifecycle and upgrades, networking, autoscaling, workload isolation, and the Helm and Terraform that deploy onto it. Data infrastructure: Shape how our services use PostgreSQL, DynamoDB and Kafka. Set the patterns for provisioning, access, backup, failover and capacity, so teams aren't solving these problems one service at a time. Golden paths: Build self-service tooling and Terraform modules that give product teams autonomy without sacrificing stability or security. Reliability: Lead resilience work, including business continuity planning, disaster recovery testing and a sustainable on-call rotation. Privacy at scale: Support the infrastructure behind privacy features such as our TIME-recognised "Anonymous Mode", and keep us SOC2, ISO 27001 and ISO 27701 certified while handling some of the most sensitive data there is. Observability: Make sure metrics, logs and traces tell us something is wrong before our users do. What You Bring Experience: Many years in infrastructure, platform, SRE or DevOps roles running high-traffic, distributed systems in production. You have operated at Principal or Staff scope, setting direction across teams as well as delivering. Kubernetes depth: You have run Kubernetes in production for real workloads, ideally EKS. You can explain what happens between kubectl apply and a pod serving traffic, and you have debugged it when it didn't. Data infrastructure awareness: You understand how PostgreSQL, DynamoDB and Kafka behave under load and when they fail: connection limits, replication lag, hot partitions, consumer lag, retention. You don't need to have been a DBA, but you know what good looks like and when to ask for help. AWS and infrastructure as code: Strong AWS knowledge and fluent Terraform. Coding experience in Go or Python is a plus. Communication: A doc-first habit, and the ability to bring distributed product teams with you. AI first: you will have seen the impact AI automation is having on development teams and the software delivery lifecycle, and have strong ideas on how infrastructure should support it. Bonus Points Hardening infrastructure for high-compliance or security-sensitive environments (HIPAA, SOC 2, PCI). Running managed data services in AWS (RDS, Aurora, MSK, DynamoDB) at scale, including migrations and major version upgrades. Scaling consumer platforms with millions of concurrent users. Certifications such as AWS Certified Solutions Architect Professional, CKA or CKS. Why Join Flo? High impact: Flo is used by 1 in 4 women aged 18–44 in the US, and has raised $200M to build what comes next. Autonomy: We hire experts and trust them to deliver. Modern stack at scale: EKS, Terraform, Kafka, PostgreSQL, DynamoDB and Sentry, serving more than 80 million people a month. Annual Salary Range (ranges may vary based on skills and experience) £130,000 — £150,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Brussels; London; London OR Brussels Workplace: OnSite DeFi Quant Research Intern - Digital Assets Market Making - Brussels Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London, Paris and New York.   We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.   We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement. We're not just envisioning the future of finance - we're building it. ABOUT THE INTERNSHIP PROGRAM Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance. Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed. We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Strategic Market Making (CeFi and DeFi), Credit and Corporate Development desks/teams (see other openings on our career page for details). Application deadline: 30 November 2026 Start date: 1 March 2027 Selection process: - Interview with Talent Acquisition representative - Interview with Hiring Manager - Recruitment Challenge The role About Strategic Market Making Desk Our Strategic Proprietary Market Making team researches and deploys systematic trading strategies across digital asset markets. Within the DeFi track, we focus on how blockchain mechanics, protocol design and on-chain market structure shape liquidity, execution and risk. As a DeFi Quant Research Intern, you will work alongside quantitative researchers, traders and engineers to study on-chain markets and support the development of data-driven trading strategies. You will analyse blockchain and market data, test hypotheses through backtesting and simulation, build research tooling, and investigate how real-world execution—including gas, transaction ordering, liquidity fragmentation and MEV—affects strategy performance.   This is a technical and applied internship. We are looking for someone who combines strong quantitative reasoning and coding skills with genuine hands-on DeFi experience. You should be curious about how protocols work beneath the interface and able to connect blockchain mechanics to market behaviour and trading outcomes. Key Responsibilities - DeFi Quant Research Intern - Research on-chain market structure by analysing liquidity, price formation, participant behaviour and execution across decentralized markets. - Study how protocol mechanics, transaction ordering, gas, slippage, latency and MEV affect execution quality and strategy performance. - Formulate trading hypotheses and evaluate them using blockchain data, market data, backtests and simulations. - Build reusable Python tools and data pipelines for research, monitoring and performance analysis. - Analyse relationships between centralized and decentralized markets and identify their implications for pricing, hedging and risk. - Support live strategies through monitoring, post-trade analysis and investigation of unexpected performance. - Present findings clearly, including assumptions, limitations, risks and recommended next steps. WHO YOU ARE/KEY REQUIREMENTS - DEFI QUANT RESEARCH INTERN - Quantitative and coding foundations: You are pursuing or recently completed a degree in mathematics, computer science, engineering, physics, quantitative finance or a related field. You are proficient in Python for data analysis and comfortable with SQL, Git and command-line workflows. - Practical blockchain understanding: You understand transactions, state changes, gas, blocks, consensus and finality at a working level, and can reason about how smart-contract interactions execute on-chain. - DeFi market knowledge: You understand AMMs, concentrated liquidity, swaps, liquidity provision, oracles and liquidations, and how decentralized execution differs from a centralized order book. - MEV awareness: You understand how transaction ordering and block construction can create arbitrage, liquidation, backrunning and sandwiching opportunities or risks, and how these dynamics affect execution. - Hands-on curiosity: You have used DeFi beyond coursework or social media. Ideally, you have built or analysed something yourself—such as an on-chain dataset, trading or monitoring script, AMM simulation, protocol integration or research project. - Trading judgement: You naturally question whether an apparent edge survives fees, gas, latency, slippage, adverse selection and changing market conditions. - Ownership and communication: You can structure an ambiguous problem, test assumptions and communicate findings and limitations clearly in English.   NICE TO HAVE - Experience querying blockchain data through RPCs, indexers, subgraphs or analytics platforms. - Ability to read Solidity, contract interfaces and event logs. - Exposure to Rust or another systems programming language. - Familiarity with non-EVM ecosystems or Layer 2 execution models. - A technical project demonstrating sustained interest in DeFi or on-chain markets. Our offer - A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it - The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem - Working from one of Brussels newest, nicest and most advanced office spaces - A global, collaborative and tech-driven environment. - Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business. - Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration. - Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world - We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.   Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Москва Мы отвечаем за создание и развитие цифровых инструментов повышения эффективности. **Наша цель:** создать персонального помощника руководителя, направленного на повышение эффективности на основе Gen AI, мультиагентных систем и графов знаний. Обязанности * формировать сценарии поведения пользователей/агентов, агрегировать данные по сессиям, шагам, использованию инструментов для оценки сквозных сценариев * координация разработки, внедрения и сопровождения цифровых инструментов повышения эффективности руководства * курирование разработки агентов и системных промптов для ИИ-помощника руководителя * формирование предложений по повышению эффективности процессов * координация работы по собору и анализу данных по запросам руководства * участие в разработке, внедрении и сопровождении цифровых инструментов повышения эффективности руководства * формулировка описания и разработка бизнес-логики для разработки агентов и системных промптов для ИИ-помощника руководителя * участие в разработке и обеспечении функционирования системы контроля над результатами и эффективностью деятельности подразделений * выполнение поручений по изучению процессов с целью повышения их эффективности * оценивать стоимость решения — рассчитывать экономику LLM-вызовов (токены, модели), затраты на инфраструктуру (векторные БД, инференс), предлагать оптимизации с метрикой ROI * работа на стыке технологий и бизнеса: превращение данных в решения. Требования * высшее образование * опыт работы от 5 лет в создании продуктов с нуля небольшими командами либо во внедрении сложных IT-решений * опыт создания агентов/продуктов на базе искусственного интеллекта * подтвержденный опыт одновременного управления портфелем из 5 - 15 взаимосвязанных проектов * понимание синтаксиса и логики Python * приветствуется опыт в стратегическом консалтинге (Big 4 / Big 3), крупном финтехе или ведущих банках * навыки финансового планирования, бюджетирования ресурсов и защиты бюджетов перед внутренними заказчиками. Условия * комфортный современный офис рядом с м. Кутузовская * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование для семьи * 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 * корпоративная пенсионная программа.

-Принять действующий пайплайн генерации вертикальных видео (сценарий → озвучка → визуал → субтитры → монтаж → автопостинг → трекинг-ссылки) для YouTube Shorts, TikTok и Instagram Reels, разобраться в нём по документации и коду и довести до стабильной работы. -Уверенное знание Python, базовые навыки bash.

Location: Москва Workplace: Гибридный Мы ищем инженера в команду Security Operations Center. Наша команда развивает системы, которые помогают получать и обрабатывать события информационной безопасности, выявлять инциденты и автоматизировать реагирование на них. Мы ищем инженера в команду Security Operations Center. Наша команда развивает системы, которые помогают получать и обрабатывать события информационной безопасности, выявлять инциденты и автоматизировать реакцию на них. В этой роли вам предстоит работать на стыке информационной безопасности, разработки и системного администрирования. Нужно будет поддерживать существующие сервисы SOC, внедрять новые решения, развивать поставку логов и автоматизировать внутренние процессы. Обязанности Работа с данными Вы будете обрабатывать большой поток данных: проектировать и поддерживать пайплайны поставки логов, разрабатывать новые архитектурные решения и поддерживать существующую инфраструктуру и инструменты SOC. В команде особенно ценят инженерный подход и системное мышление — это важнее формального знания информационной безопасности. Пайплайны сбора логов Вы будете разрабатывать архитектуру, которая обеспечит поставку событий от тысяч источников — при этом нужно добиться отказоустойчивости, наблюдаемости, масштабируемости и минимальной задержки. Вам предстоит работать с Kafka, Syslog, Docker и другими инструментами для построения конвейеров данных, а также взаимодействовать с командами компании, чтобы выбрать оптимальные форматы событий и способы их доставки. Развитие SOC‑систем Вы будете поддерживать работающие системы, разворачивать и внедрять новые инструменты — вендорские и с открытым кодом — чтобы мониторить инциденты и оперативно на них реагировать. Среди инструментов — EDR, SIEM, SOAR и TI‑платформы. Также вам предстоит управлять инфраструктурой с помощью Ansible и других средств IaC. Больше о безопасности в Яндексе — в канале Yandex for Security Требования * Администрировали Linux‑системы и умеете диагностировать возникающие в них проблемы * Работали с системами сбора и маршрутизации логов, например Syslog или Kafka * Программируете на Python и готовы использовать его для автоматизации и разработки внутренних инструментов * Понимаете основные сетевые протоколы и принципы взаимодействия распределённых систем * Знаете инструменты управления конфигурацией и инфраструктурой как кодом * Знакомы с контейнеризацией и оркестрацией: Docker, Podman или Kubernetes * Понимаете базовые принципы мониторинга, отказоустойчивости и эксплуатации сервисов * Готовы разбираться в незнакомых системах и доводить задачи до работающего решения

Location: Brussels; London; London OR Brussels Workplace: OnSite Quantitative Analyst Intern - Digital Assets Market Making (HFT) - Brussels Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London, Paris and New York.   We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.   We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement. We're not just envisioning the future of finance - we're building it. ABOUT THE INTERNSHIP PROGRAM Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance. Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed. We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Strategic Market Making (CeFi and DeFi), Credit and Corporate Development desks/teams (see other openings on our career page for details). Application deadline: 30 November 2026 Start date: 1 March 2027 Selection process: - Interview with Talent Acquisition representative - Interview with Hiring Manager - Recruitment Challenge     The role About Strategic Market Making Desk Our Strategic Proprietary Market Making team researches and deploys systematic trading strategies across centralized digital asset venues. We study how order-book dynamics, fragmented liquidity, exchange design and participant behaviour shape pricing, execution and risk. As a Quantitative Analyst Intern within the HFT track, you will work alongside quantitative researchers, traders and engineers to analyse market and trading data, test hypotheses through backtesting and simulation, and build tools that improve strategy performance and risk visibility. You will investigate how fair value, liquidity, latency, queue position, fees and adverse selection affect real-world execution across venues.   This is a technical and applied internship. We are looking for someone who combines strong quantitative reasoning and coding skills with a detailed understanding of electronic markets. You should be curious about how exchanges work beneath the interface and able to connect market microstructure to trading outcomes. Key Responsibilities - Quantitative Analyst (HFT) - Analyse multi-venue top-of-book and depth data, trades, orders, fills and cancels to study liquidity, price discovery and execution quality. - Build and validate latency-aware, event-driven backtests with explicit assumptions around maker/taker execution, queue position, fill probability, fees and cancellations. - Measure spread capture, forward markouts, fees and adverse selection, and investigate how execution quality changes across venues, instruments and market regimes. - Build reusable Python tools and data pipelines using modern columnar analysis and SQL for strategy research, performance attribution and monitoring. - Study cross-venue price discovery, lead–lag relationships, fair-value construction and spot–perpetual basis while accounting for data staleness, instrument design and settlement-currency differences. - Support live strategies through PnL, inventory and exposure analysis, post-trade review and investigation of unexpected performance. - Evaluate liquidity-program economics by balancing execution quality, market share, fees and incentives, and work with traders and engineers to translate research into robust production improvements. - Present findings clearly, including assumptions, limitations, risks and recommended next steps. WHO YOU ARE/KEY REQUIREMENTS - QUANTITATIVE ANALYST (HFT) - Quantitative and coding foundations: You are pursuing or recently completed a degree in mathematics, computer science, engineering, physics, quantitative finance or a related field. You are proficient in Python for data analysis, ideally including Polars or similar columnar tools, and comfortable with SQL, Git and command-line workflows. Experience with ClickHouse or another analytical database is valuable. - Electronic market structure: You understand limit order books, order types, maker/taker mechanics, matching and priority rules, spreads, market depth and how trades move prices. - Execution awareness: You can reason about the order lifecycle from signal to acknowledgement and fill, including exchange APIs, latency, queue position, partial fills, cancellations, fees, slippage and adverse selection. - Digital asset markets: You understand key differences between spot and perpetual futures, including basis, funding, leverage, liquidation risk, settlement currencies and residual exposure. - Quantitative reasoning: You are comfortable with probability, statistics, time-series analysis and evaluating noisy results without overstating significance. - Hands-on curiosity: Ideally, you have built or analysed something yourself—such as an order-book study, trading bot, exchange connector, backtest, execution simulator or market-data pipeline. - Trading judgement: You naturally question whether an apparent edge survives latency, fees, market impact, changing liquidity and real execution constraints. - Ownership and communication: You can structure an ambiguous problem, test assumptions and communicate findings and limitations clearly in English.   Nice to Have - Experience working with exchange WebSocket/REST APIs and asynchronous market-data pipelines - Exposure to Rust or another systems programming language - Experience with tick/order-book data, event-driven simulation or execution modelling - A technical project demonstrating sustained interest in systematic trading or market microstructure   Our offer - A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it - The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem - Working from one of Brussels newest, nicest and most advanced office spaces - A global, collaborative and tech-driven environment. - Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business. - Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration. - Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world - We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.   Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Проведение комплексных пентестов и Red Team операций: Вы будете планировать и проводить реалистичные тесты на проникновение во внешний и внутренний периметр корпоративных сетей, имитируя тактики, методы и процедуры (TTPs) современных APT-групп.

You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.

🔹 Requirements: Windows desktop application testing, TestComplete automation, regression and smoke testing, QA process improvement, client communication and consulting, English C1/C2.

Международный банк приглашает Директора направления DevOps для построения и масштабирования Внутренней Платформы Разработчика (Internal Developer Platform) как полноценного продукта.

• 3+ года в B2B SaaS и кейсы, где вы сами нашли проблему, выпустили решение и сдвинули метрику.