Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About The Opportunity
Core product role within the Advanced Trading PM team. Own advanced trading product lines and trading features for our onshore compliant markets(
EEA
,US,SG,UAE and etc) — from strategy and
PRD
to launch and iteration — while keeping our product mechanics competitive with leading CEXs.
What You'll Be Doing
Product Ownership:
Own the roadmap and delivery for assigned advanced trading product areas: account/margin model, order lifecycle, position management, market data surfaces, and trading UI on Web and App.
Write clear PRDs and user stories; drive designs through review,
UAT
, launch, and post-launch iteration.
Define success metrics and run continuous improvement loops on trading experience, liquidity quality, and risk outcomes.
Competitive & Market Insight:
Continuously benchmark against leading CEXs (Binance, Bybit, Coinbase, Kraken, Bitget, etc.) — deconstruct product mechanisms, fee/liquidity models,
UX
, and new launches.
Track TradFi derivatives and onshore compliant-market developments; surface actionable opportunities.
Trading Experience:
Improve speed-to-trade, order tickets, Kline/charting, and active-trader retention features on Web and App.
Partner with design and engineering to ship polished, high-performance trading surfaces.
Liquidity, Execution & Risk:
Contribute to liquidity parameters, fee tier design, and execution-quality tracking (spread, depth, slippage, fill-rate) under senior guidance.
Support risk framework work: price limits, funding rate, index/mark price logic, leverage & position tiers — translating requirements into product specs.
Compliant-Market Delivery:
Work with compliance, legal, and local entity leads to deliver product changes for licensed jurisdictions (SG, EU/
MiCA
, HK, US, BR, AU, UAE).
Translate regulatory requirements into product specs without over-degrading UX.
Cross-Functional Execution:
Partner day-to-day with engineering, quant/risk, design,
ops
, BD, and institutional client teams.
Communicate progress, risks, and tradeoffs clearly to the team lead and stakeholders.
What We Look For In You
5+ years of product management experience, with at least 3+ years on crypto trading products (derivatives strongly preferred).
Solid working knowledge of CEX product mechanisms: perpetuals/futures/options, margin models, funding rates, index/mark price, liquidation, order types, market microstructure
Hands-on experience shipping trading features on Web and/or App at a top-tier CEX or comparable trading platform.
Basic understanding of exchange liquidity economics and risk frameworks (maker/
taker
fees, position tiers, leverage curves).
Strong written PRDs, structured thinking, and cross-functional execution.
Fluent English; Mandarin a plus.
Nice to Haves
Direct competitor experience at a leading CEX.
Familiarity with at least one onshore compliant market (EEA, US, SG, AU, UAE, TR, BR).
Prior experience at a traditional brokerage / TradFi exchange (e.g., IBKR, Futu, Tiger, Robinhood, CME, HKEX, SGX) — especially derivatives, margin, or trading UX.
Familiarity with smart contracts, token economics, or tokenized RWAs.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
You will focus on solving engineering problems at scale, moving beyond feature delivery to influence the architecture and implementation of distributed systems. By refactoring complex, monolithic systems and building high-quality, scalable software, your work ensures our platform remains robust and reliable for millions of global users.
As a senior member of the team, you will have the autonomy to make major code design decisions and contribute to global engineering standards. You will balance technical excellence with mentorship, acting as a role model and coaching others through complex technical challenges to help them grow.
The team / how they connect
You will join a collaborative environment where engineers, product owners, and designers work together using agile and delivery practices to ship meaningful code. The team prioritizes continuous learning and mastery, frequently participating in code reviews and knowledge-sharing sessions to maintain a high bar for technical craft.
The team is currently working on / Initially, you will focus on
- Modernizing systems by refactoring monolithic components into distributed, scalable architectures.
- Enhancing the developer experience through the maturation of CI/CD concepts, tooling, and TDD practices.
- Building and maintaining a diverse tech stack that includes C#,.Net, React, AWS, and Kubernetes.
- Developing and implementing technical solution designs that align with long-term engineering frameworks.
Where and how you can work
This role is based in our Vancouver office, where we embrace a hybrid working model. You will have the flexibility to work from home while joining the team in the office for "boost days" (1-2 days a week) to collaborate, socialize, and solve complex problems in person.
Here are some of the things we are looking for
- Proven experience delivering and operating complex, large-scale systems (distributed/high-availability environments), with strong fundamentals and the ability to ramp quickly across adjacent technologies (we’re tech-stack agnostic).
- You bring a growth mindset and a passion for proactively maintaining and sharing technical knowledge with your peers.
- A background in designing and building high-quality software within a range of languages and tools is essential.
- You possess the ability to lead major code design decisions and contribute to wider technical solutioning.
- Experience with modern engineering practices like automated testing, refactoring, and agile delivery is key to your success.
- You enjoy mentoring other engineers and helping them grow their technical skills through supportive coaching.
- A deep care for technical excellence and a drive to solve large-scale engineering challenges motivates your daily work.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies.
Compensation Philosophy
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The base salary range for this role in Canada is $155,000 - $205,000 CAD.
Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include:
- Variable Pay: Eligibility commissions or equity based on role and performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs.
- Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role
Location: Yerevan; Poland; Spain; Ukraine; Serbia
Workplace: remote
About the role:
Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete.
We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs (Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation) and five Blueprints— packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts.
You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness.
Domain Focus
Deep, current expertise in one or both of our priority verticals is a leading selection criterion:
Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows.
Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling.
You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries.
Forward-Deployed Delivery (FDE / FDX)
Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) that lands a Cowork and Blueprint Activation or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows. You must be able to credibly play at least one side of that box and partner tightly on the other:
FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos.
FDE — configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment.
Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential.
Requirements:
Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context.
Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery.
Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping.
5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms.
Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements.
Fluent English.
A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must.
GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders.
Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks.
Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs.
Design thinking, data-driven decisions, strong communication and executive storytelling.
Bias to action; thrives in ambiguity with structured problem-solving.
Enough engineering empathy to earn credibility with senior engineers and architects on day one.
Nice to Have:
Second priority vertical beyond your primary FSI/HCLS focus.
Prior experience in a Premier AWS or Anthropic partner environment.
Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early.
Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP.
Software development background.
What You'll Do:
Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery.
Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs.
Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments.
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result.
Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream.
Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows.
Break complex work into incremental releases; balance delivery against technical debt and architecture.
Sprint-Enable-Realize engagement model.
Lead Agile execution - backlog, sprint planning, release process.
Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program.
Define success metrics and analytics; drive continuous improvement and root-cause analysis.
Support change management, enablement, and reusable playbooks so wins repeat across accounts.
Why Join Us:
Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact.
Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment.
Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers.
Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks.
Remote-friendly culture.
Private medical insurance or sports coverage
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work.
Задачи:
— Писать код на Go.
— Строить и планировать архитектурные решения.
— Выполнять ревью и тестирование кода.
— Проводить консультации и менторинг менее опытных коллег.
— Отвечать за работу сервиса(-ов).
Требования:
— Опыт инфраструктурной разработки на Go от пяти лет.
— Опыт сетевой автоматизации.
— Опыт написания тестов.
— Опыт работы с NoSQL (в частности, Redis).
— Понимание concurrency (как запустить/остановить фоновые горутины, как отобразить данные на веб-странице, пока они параллельно обновляются, как правильно работать с базой).
— Желание заниматься инфраструктурной разработкой (сетевая аналитика, коллекторы и автоматизация файрволов).
— Опыт работы с системами мониторинга (Grafana, Prometheus, VictoriaMetrics).
Будет плюсом:
— Опыт построения конкурентных приложений/сервисов.
— Опыт работы и (или) способность к чтению Python-кода.
— Опыт во Frontend-разработке.
— Продвинутое или глубокое знакомство с сетями.
— Открытость к взаимодействию с командой, инициативность и готовность помогать менее опытным коллегам.
Условия:
— Возможность создавать продукты и сервисы, которые меняют к лучшему жизнь миллионов пользователей.
— Амбициозные задачи, масштабные проекты и возможности для профессионального роста.
— Совместные интересы и увлечения: помогаем раскрывать таланты и отлично проводить свободное время.
— Работа в команде профессионалов из разных сфер, которые всегда готовы поделиться опытом.
— Программа благополучия: заботимся о здоровье и хорошем самочувствии сотрудников.
— Компенсация питания в кафе и ресторанах рядом с офисами — 800 рублей в день.
— Компенсация спортивных активностей — 30 000 рублей в год в регионах и 35 000 рублей в год в Москве и в Санкт-Петербурге.
— 17 корпоративных команд по 12 видам спорта.
Задачи:
— Разработка backend на Python с использованием Django и Django REST Framework
— Создание REST API
— Работа с AWS сервисами: S3, RDS, SNS, SQS, CloudFront, CloudFormation
— Реализация OAuth потоков
— Использование AI инструментов и LLM
— Работа с Celery (4.x/5.x) и брокерами сообщений (Redis или RabbitMQ)
— Использование Docker (Dockerfile, docker-compose) и базовых CI/CD (GitHub Actions или аналогичные)
— Работа с SQL и реляционными базами данных (PostgreSQL)
— Использование Git (pull/merge requests, code reviews, Git Flow)
Требования:
— Опыт работы не менее 5 лет
— Экспертные знания Python и Django (ORM, миграции, админка)
— Опыт создания REST API с Django REST Framework
— Опыт работы с AWS сервисами: S3, RDS, SNS, SQS, CloudFront, CloudFormation
— Знание OAuth
— Владение AI инструментами / LLM
— Опыт работы с Celery и брокерами сообщений (Redis или RabbitMQ)
— Опыт работы с Docker и CI/CD
— Хорошее знание SQL и PostgreSQL
— Владение Git
— Свободное владение английским языком
Желательно:
— Знакомство с платежными шлюзами (Mollie, Stripe, PayPal)
— Настройка и оптимизация Sentry, логирование и мониторинг
— Инструменты тестирования и качества кода: Pytest, Flake8, Bandit, wemake-python-styleguide
— Интернационализация и интеграции с внешними CRM/API
— Базовые знания Vue.js или работа с фронтендом на Vue
— Feature flags (django-waffle), расширенные админ-плагины (CKEditor, image-cropping, sortable2)
— Poetry, Fabric, Django Channels (WebSockets)
— Обработка PDF и изображений (PyMuPDF, Pillow, heif-image-plugin)
Условия:
— Полностью удалённая работа с гибким графиком
— Конкурентная оплата (полный рабочий день или фриланс) в зависимости от опыта
— Возможности профессионального роста и долгосрочного сотрудничества
Компания занимается созданием данных для обучения и оценки моделей генеративного искусственного интеллекта (GenAI). В команде работают эксперты из более чем 50 областей и представители более 100 стран. Компания сотрудничает с крупными технологическими компаниями и стартапами, имеет стратегических инвесторов и распределённую по миру удалённую команду.
Задачи:
— Создавать задачи и критерии их оценки для оценки AI coding агентов.
— Формировать изолированную среду, эмулирующую рабочее место разработчика с Linux, инструментами разработки, серверами MCP и реальным кодом веб-приложения.
— Создавать контекст задачи: тикеты, обсуждения, документацию, чтобы агент мог самостоятельно разобраться с задачей.
— Строить виртуальную компанию с кодовой базой, инфраструктурой и историей разработки.
— Собирать и калибровать задачи, превращая черновики в полные задачи с промптом и критериями оценки.
— Итеративно работать с AI агентом, проверять тесты, анализировать результаты, проектировать крайние и сложные сценарии.
Требования:
— Опыт разработки не менее 8 лет на любом современном языке программирования.
— Готовность и способность работать преимущественно на Python.
— Практический опыт использования AI coding агентов (Claude Code, Codex) в инженерных процессах.
— Умение решать задачи, ясно мыслить и объяснять технические решения.
— Практическое понимание Docker и рабочих процессов разработки.
— Готовность вносить технический вклад и выполнять задачи.
Условия:
— Фриланс с возможностью перехода в проектную команду.
— Гибкий полностью удалённый график.
— Работа на переднем крае AI разработки с известными клиентами.
— Дружелюбное сообщество.
Технологический стек:
— Backend: Python, FastAPI
— Frontend: JavaScript/TypeScript, React
— Инфраструктура: Docker, PostgreSQL, Kafka, Redis
Особенности:
— Работа с задачами, которые сложно создать без использования передовых AI моделей.
— Оценка решений AI агентов, которые могут иметь множество валидных вариантов.
Вакансия архивирована.
Location: Canada
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Germany
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Spain
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across e
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Israel
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: United States
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Задачи:
— Проектирование AI- и классических решений: разработка агентов, tools, skills, subagents, SDK к OpenCode;
— Применение нейросетей для оптимизации собственной работы (генерация спецификаций, промпт-инжиниринг, прототипирование диаграмм PlantUML, написание MCP, агентов, скилов);
— Ведение технической документации в рамках концепции Doc-as-code;
— Согласование технических решений и плотная коммуникация с командами разработки и сопровождения.
Требования:
— Общий опыт работы в аналитике от 3 лет;
— Подтвержденный опыт работы в проектах по разработке и внедрению AI-фич и AI-агентов (включая агентов в формате .md);
— Понимание принципов работы LLM и современных агентных архитектур (ReAct, LangChain, AutoGen и др.);
— Понимание NLP, архитектуры RAG (retrieval-augmented generation) и уверенные навыки prompt engineering;
— Практический опыт работы с harness-агентами;
— Уверенное владение технологическим стеком: REST API, WebSocket, OpenAPI/AsyncAPI, брокеры сообщений (Kafka), реляционные БД (PostgreSQL);
— Опыт работы с инструментами моделирования и документации;
— Развитые софт-скиллы: инициативность, коммуникабельность, умение аргументированно доносить точку зрения, нетоксичность.
Условия:
— Работа в финтех-проекте компании Bellintegrator;
— Платформа автоматизации жизненного цикла инвестиционных сделок для юридических лиц;
— Удаленная работа с таймзоной Мск ±2 часа;
— Полная занятость с оформлением по ТК РФ;
— Вилка зарплаты 220 000 – 250 000 руб. на руки, определяется по грейду.
Важное требование к резюме:
— Резюме должно содержать детально подтвержденный опыт;
— По каждому проекту необходимо четко описать: описание проекта, роль, конкретные задачи и зону ответственности, используемые технологии и инструменты.
Location: Warsaw, Poland
Workplace: fully
About Global University Systems (GUS)
Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
Position
We are seeking a meticulous and self-driven Senior Admissions Solutions Coordinator to take full ownership of the end-to-end admissions process for our UK and US partner universities. Working remotely from Poland, you will manage a live caseload, ensuring every application is processed accurately and efficiently while consistently meeting established KPIs. This role requires complete accountability for each student file from application through to enrolment.
Key Result Areas
· Manage a live portfolio of student applications, ensuring every case remains accurate, complete, and progresses efficiently through each stage of the admissions cycle.
· Review, verify, and process application documentation in accordance with the admission requirements and quality standards of UK and US partner universities.
· Take full ownership of individual performance metrics by meeting application deadlines, proactively identifying risks, and ensuring timely resolution of outstanding issues.
· Act as the primary point of contact for students, partner universities, and internal teams, ensuring clear communication and seamless coordination throughout the admissions process.
· Maintain the highest standards of accuracy and compliance by ensuring all applications meet institutional requirements before submission.
· Monitor personal performance, analyse workflow efficiency, and implement process improvements to enhance productivity, accuracy, and student experience.
Requirements
Essential Criteria
· Bachelor's degree or equivalent qualification.
· Minimum of 2 years' experience in admissions management, student enrollment, or a similar administrative role within higher education or university admissions.
· Proven experience managing high-volume application processing, documentation, and casework with exceptional accuracy and attention to detail.
· Demonstrated ability to work independently in a remote environment, effectively managing priorities and delivering results with minimal supervision.
· Self-motivated, disciplined, and capable of working independently in a remote, KPI-driven environment.
· Excellent written and verbal communication skills, with the ability to manage multiple stakeholders professionally.
Desirable Criteria
· Excellent organisational and time management skills, with a strong eye for detail.
· Strong analytical and problem-solving abilities, with a continuous improvement mindset.
· Proficiency in using CRM systems, admissions platforms, and Microsoft Office applications.
· Highly accountable, taking full ownership of work and outcomes.
· Calm, resilient, and able to perform effectively under pressure while managing competing deadlines.
· Committed to delivering a high standard of service, accuracy, and compliance throughout the admissions process.
Location
The position is home-based with travel if required.
Other Information
Please note this position is only available on our consultancy agreement.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.
Location: Warsaw, Poland
Workplace: fully
About Global University Systems (GUS)
Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
Position
We are seeking a meticulous and self-driven Senior Admissions Solutions Coordinator to take full ownership of the end-to-end admissions process for our UK and US partner universities. Working remotely from Poland, you will manage a live caseload, ensuring every application is processed accurately and efficiently while consistently meeting established KPIs. This role requires complete accountability for each student file from application through to enrolment.
Key Result Areas
· Manage a live portfolio of student applications, ensuring every case remains accurate, complete, and progresses efficiently through each stage of the admissions cycle.
· Review, verify, and process application documentation in accordance with the admission requirements and quality standards of UK and US partner universities.
· Take full ownership of individual performance metrics by meeting application deadlines, proactively identifying risks, and ensuring timely resolution of outstanding issues.
· Act as the primary point of contact for students, partner universities, and internal teams, ensuring clear communication and seamless coordination throughout the admissions process.
· Maintain the highest standards of accuracy and compliance by ensuring all applications meet institutional requirements before submission.
· Monitor personal performance, analyse workflow efficiency, and implement process improvements to enhance productivity, accuracy, and student experience.
Requirements
Essential Criteria
· Bachelor's degree or equivalent qualification.
· Minimum of 2 years' experience in admissions management, student enrollment, or a similar administrative role within higher education or university admissions.
· Proven experience managing high-volume application processing, documentation, and casework with exceptional accuracy and attention to detail.
· Demonstrated ability to work independently in a remote environment, effectively managing priorities and delivering results with minimal supervision.
· Self-motivated, disciplined, and capable of working independently in a remote, KPI-driven environment.
· Excellent written and verbal communication skills, with the ability to manage multiple stakeholders professionally.
Desirable Criteria
· Excellent organisational and time management skills, with a strong eye for detail.
· Strong analytical and problem-solving abilities, with a continuous improvement mindset.
· Proficiency in using CRM systems, admissions platforms, and Microsoft Office applications.
· Highly accountable, taking full ownership of work and outcomes.
· Calm, resilient, and able to perform effectively under pressure while managing competing deadlines.
· Committed to delivering a high standard of service, accuracy, and compliance throughout the admissions process.
Location
The position is home-based with travel if required.
Other Information
Please note this position is only available on our consultancy agreement.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.
Location: Ростов-на-Дону
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Обязанности
* консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку
* продавать банковские продукты и услуги
* обучать клиентов пользоваться сервисами и продуктами Сбера
* проводить кассовые операции: прием, выдача, обмен денег.
Требования
* имеешь образование среднее и выше
* доброжелателен и готов помогать клиентам
* активно используешь гаджеты и программы MS Office
* готов использовать ИИ в ежедневной работе (обучение за счёт компании — есть свои курсы).
Условия
* ежемесячная, годовая премия и ежегодный пересмотр зарплаты
* возможность влиять на свой доход
* быстрый старт карьеры для тех, кто без опыта
* работа в офисе нового формата рядом с домом или местом учебы
* корпоративный планшет для комфортной работы
* уникальная система онлайн обучения Сбера для карьерного развития и роста
* расширенный ДМС и льготное страхование для семьи
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ.
#начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей
Задачи:
- разработка и поддержка Python-модулей, взаимодействующих с компонентами распределённой инфраструктуры
- написание unit-, интеграционных и end-to-end тестов
- участие в code review и соблюдение стандартов качества кода
- сборка и публикация пакетов (в том числе .deb/.rpm) для дистрибутивов Linux
- диагностика и устранение проблем в production-средах под Linux
- взаимодействие с командами DevOps и SRE для обеспечения стабильности и производительности решений.
Требования:
- понимание принципов работы гипервизоров и опыт взаимодействия с QEMU/KVM через API или CLI (например, через libvirt или напрямую)
- уверенное владение Linux: работа с systemd, journalctl, сетевым стеком, файловыми системами
- практический опыт работы с технологиями контейнеризации: Docker и/или Podman (включая написание Dockerfile, управление образами, настройку сети и volumes)
- опыт взаимодействия (или разработки) с любым из этого списка - OpenStack, Apache CloudStack, Proxmox VE, OpenNebula, oVirt
- опыт коммерческой разработки на Python от 5 лет
- глубокое понимание асинхронного программирования, многопоточности и IPC в Linux
- опыт работы с системами сборки пакетов (например, rpmbuild, mock, koji, fedpkg или аналоги)
- знание принципов CI/CD и опыт работы с Git, GitLab CI
- понимание принципов REST API, RPC и взаимодействия между сервисами
- опыт работы с virtualenv, pip, Poetry или аналогичными инструментами управления зависимостями.
Локация/гражданство: РФ
Формат: Удаленно, Full-time (МСК)
Срок привлечения: с 08.07.2026 до 15.09.2026 (возможно продление до 31.12.2026)
Условия оплаты:
• Ставка закупки: 1700 , с НДС
• Отчётный период: месяц, отсрочка по оплате 35 РД
Требования:
- Умение декомпозировать бизнес-требования в детальные функциональные спецификации.
- Разработка и описание сценариев использования (Use Cases) на основе пользовательских историй (User Stories) для детализации логики взаимодействия пользователя с системой.
- Определение и документирование точек интеграции с внешними сервисами.
- Анализ входной документации, протоколов и форматов данных для интеграций.
- Формирование четких, понятных и проверяемых задач для команды разработки и тестирования (включая критерии приемки — Acceptance Criteria).
- Обеспечение технической грамотности постановок задач, чтобы минимизировать риски недопонимания при реализации.
- Владение нотацией UML (диаграммы последовательностей, состояний, классов, активностей) для описания логики работы, переходов состояний сущностей и взаимодействия компонентов.
- Использование нотации IDEF (например, IDEF0) для моделированияфункциональных возможностей системы и процессов управления.
Задачи:
— Настройка эффективного и отказоустойчивого вычитывания операций из блокчейна;
— Реализация транзакций в смарт-контракты и оперативная публикация цен в блокчейн;
— Разработка внутренней бизнес-логики микросервисов (обработка event-ов, настройка шедулеров, создание надежных API);
— Импорт, процессинг и экспорт данных в DownStream системы, плотная интеграция с UI, подготовка гибких схем валидации.
Требования:
— Высшее техническое образование и коммерческий опыт разработки от 5 лет;
— Опыт работы в роли разработчика в крупных Enterprise-компаниях (топ-банки, финтех, брокеры, биржи);
— Четкое понимание корпоративных стандартов разработки, CI/CD процессов, требований ИБ и прохождения архитектурных ревью;
— Уверенное знание Java 8, ООП, REST, XML, JSON, HTTP и шаблонов проектирования;
— Опыт разработки с использованием Spring, Spring Boot и микросервисной архитектуры;
— Отличные знания SQL и практический опыт работы с БД (PostgreSQL);
— Уверенный опыт работы с интеграционными протоколами и брокерами (REST, Kafka, RPC, FIX);
— Опыт написания качественных модульных и интеграционных тестов (JUnit, Mockito);
— Внимание к деталям и умение грамотно вести деловую переписку.
Условия:
— 100% удаленный формат работы с территории РФ и полностью гибкий график;
— Стабильный и конкурентный доход до 315k на руки с прозрачной оплатой по ИП;
— Профессиональное развитие через решение сложных реальных задач, а не формальные курсы;
— Реальная возможность предлагать свои архитектурные идеи и сразу видеть, как они внедряются на проде.
УдалённоseniorМосква
ГибридseniorГеография найма не уточнена
УдалённоseniorYerevan; Poland; Spain; Ukraine; Serbia
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