Location: Barcelona; Paris
Workplace: Hybrid
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Checkout.com http://Checkout.com is looking for an enthusiastic and talented Sales Engineer to join our fast-growing team in Barcelona or Paris to support our clients with integrating our revolutionary online payments platform. This is a Senior Specialist position, and the successful candidate will be responsible for providing technical guidance to our clients, predominantly across the EEA, with a primary focus on Southern Europe, throughout the entire sales lifecycle.
As a Sales Engineer, you are responsible for technical ownership of client relationships from initial contact in the sales cycle throughout the solutioning, integration, and go-live stages of the customer journey. The ability to solve business and technical requirements through the application of Checkout.com http://Checkout.com products and solutions is core to the success of the position. Along the way, you'll collaborate closely with various in-house talents across Technology and Business to position our capabilities, products, services and solutions effectively with prospects.
The ideal candidate will need to be an independent, high-achieving individual, able to stand out in an entrepreneurial environment and outperform performance targets through personal drive. The role requires clear written and verbal English and Spanish, with the ability to support prospects and merchants across the EEA market, predominantly in Southern Europe.
WHAT YOU WILL BE DOING:
- Support the commercial team to position Checkout.com http://Checkout.com’s products, solutions, and services, and ultimately, help to win deals. You will be a key partner to Account Executives on all matters related to product, payments, regulation, and tech.
- Understand merchant requirements and technical needs, map this to our APIs and products, create solution designs and internal documentation.
- Run demos, build “show-me” payment flows, create POCs, customise and create presentations.
- Provide thought leadership on all aspects of Payment Performance - Acceptance Rate, Fraud Prevention, Tokenisation, Payment Methods, and others.
- Lead technical interactions with merchants, from chats and calls to meetings and workshops until the deal is won.
- Support BID management team with RFP and RFI responses.
- Enable internal functions, commercial and tech, with market and merchant feedback on product capabilities. Champion product change and improvement.
- Being constantly up to date with industry standards, solutions, and tech.
- Being an expert of Checkout.com http://Checkout.com’s platform and product.
- Support opportunities across the EEA market, predominantly in Southern Europe.
ABOUT YOU:
- 1-3 years experience as a Sales Engineer / Solutions Architect / Pre-Sales Consultant / Implementation Engineer or TAM.
- Experience working in a technical client-facing role.
- Drives results with a strong commercial focus and proactive approach.
- Clear written and verbal English and Spanish. Able to communicate to both technical (developers, product) and business (payments, finance, c-level) stakeholders.
- Able to thrive in a fast-paced environment.
- Ability to translate technical jargon into business speak.
- Problem-solver. Able to reproduce, isolate and explain issues using logs, API responses, and tests.
- Highly organised and able to prioritise shifting workloads and responsibilities effectively.
- Familiar with API based integration methods, associated best practices, and related tools/frameworks (REST/JSON APIs, Postman).
- Experience with at least one common front-end (pure JavaScript, React, Angular, etc) and back-end (Java, .NET, Python, Node, etc) technology.
- Previous exposure to RFI/RFP.
- Understanding of end-to-end payment flow.
- Payments industry exposure with an understanding of the related rules and regulations and payments schemes.
- Experience with 3DS, Network Tokenisation, Apple/Google Pay, Open Banking, or fraud-risk engines.
NICE TO HAVE:
- Familiarity with PSD2/PSD3/PSR, ISO-8583.
- Additional language is a plus French/German preferred
- Former engineering, developer, or product manager background.
- Held prior roles in E-commerce industry.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Задачи:
— Владение глубоким анализом производительности и оптимизацией стека блокчейн-нод, выявление причин потребления ресурсов и внедрение системных исправлений
— Создание систем наблюдения, проверки состояния и автоматического переключения для блокчейн-нод
— Руководство инициативой по оптимизации размеров кластера нод, профилирование рабочих нагрузок и установление моделей емкости
— Взаимодействие с инженерами по интеграции протоколов, командами кошельков и индексаторов
— Определение и внедрение SLO и SLI для сервисов нод
— Поддержка обновлений протоколов и операций нод с акцентом на производительность
Требования:
— Опыт разработки ПО не менее 5 лет с глубокими знаниями в анализе производительности систем, профилировании и оптимизации инфраструктуры
— Практический опыт эксплуатации распределенных систем в масштабе (диагностика узких мест, настройка производительности, управление емкостью)
— Владение backend-программированием (предпочтительно Go) и системными инструментами (pprof, Datadog, Prometheus, Grafana)
— Опыт снижения затрат на инфраструктуру через инженерную оптимизацию, а не просто масштабирование ресурсов
— Желателен опыт работы с блокчейн-нодами, протоколами консенсуса или криптоинфраструктурой
О нас и проекте: Разрабатываем LLM-агентную платформу, которая от имени пользователя ведет переписку в мессенджерах. Решаем нетривиальные задачи на стыке AI, автоматизации и безопасности.
Задачи:
— Бэкенд и API для оркестрации LLM-агентов (память диалогов, мультиязычность, профили пользователей, эскалация на оператора);
— Интеграция агентов с мессенджерами: обработка квалификации, возражений, передача живому оператору;
— Разработка личного кабинета для клиентов: онбординг, дашборд с метриками качества AI, портрет пользователя;
— Работа с фермой устройств: автоматизация на Playwright/Android, обход поведенческого антидетекта (в т.ч. для сбора данных и тестирования);
— Обеспечение безопасности: шифрование данных, работа с KMS, ведение журналов доступа к чувствительной информации.
Требования:
— Опыт Python в продакшене от 3 лет — уверенное владение и архитектурные решения;
— Реальный коммерческий опыт с LLM-приложениями (от прототипа до прода);
— React/Next.js на уровне, достаточном для самостоятельной разработки ЛК и дашборда;
— Практический опыт с браузерной автоматизацией (Playwright/Puppeteer) и/или Android-фермой;
— Понимание устройства антифрод-систем и способов их обхода;
— Готовность работать с чувствительными данными, знание подходов к шифрованию и управлению ключами.
Условия:
— Полностью удаленный формат;
— Гибкий график — 4 часа в день (20 часов в неделю), можно разбивать по своему усмотрению в рамках рабочего дня (по согласованию с командой);
— Заработная плата — 60 000 ₽ на руки;
— Уровень — Lead / Senior (высокая самостоятельность и ответственность);
— Участие в развитии внутренней ИИ-экосистемы для студии с 10+ активными проектами;
— Детали проекта и конкретные задачи обсуждаем на собеседовании.
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The
Code Understanding
team owns the surfaces where that intelligence meets the developer:
Deep Search
, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases,
Query Assist
, turning natural language queries into Sourcegraph query syntax,
Smart Hovers
, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day.
Most of what makes those surfaces tick is
agent engineering
: a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the
staff ML and agent engineer on Code Understanding
, you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.
This is a
staff-level role
: we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before.
Concretely, you'll own work like:
Agentic systems.
You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale.
Pragmatic use of evaluations.
Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence.
Models: selection, upgrading, and training.
You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call.
Retrieval and context engineering.
You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable.
Cost and latency.
Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably.
You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work.
📅 Within one month, you will…
Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval.
Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them.
Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next.
Join the team's on-call support rotation.
📅 Within three months, you will…
Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement.
Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them.
Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts.
📅 Within six months, you will…
Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions.
Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before.
Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them.
About you
You are a
staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems
. This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it.
You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship.
You have personally owned a production model lifecycle.
You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version.
You build agents, fluently and opinionatedly.
You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required.
You have strong evaluation judgment.
You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading.
You treat cost and latency as product constraints.
You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model.
You operate autonomously on ambiguous problems.
Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end.
You contribute beyond your domain.
As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives.
You up-level the people around you.
You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job.
You're customer and product-driven.
You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray.
You're pragmatic, not a perfectionist.
You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity.
On the engineering fundamentals:
You're a strong software engineer who can ship production services.
You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there.
You're fluent with agentic coding tools, and you understand and own every line it submits.
You're comfortable in an async-first, multi-service, fast-paced remote environment.
Nice-to-haves:
You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently.
You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production.
Experience with retrieval, ranking, embeddings, or search relevance.
Experience working directly with enterprise customers and translating their needs into a product.
Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency.
Level
📊 This job is an IC4. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰
The starting salary for the IC4 pay band in each zone is:
Zone 2: $176,000 USD
Zone 3: $132,000 USD
Zone 4: $88,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5.5 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[60m]
Resume Deep Dive
[60m]
System Design
[60m]
Harden a Code Research Agent Interview
[60m]
Cross-functional team collaboration
/
Values
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Задачи:
— Создание, разработка и управление масштабируемой инфраструктурой AWS.
— Создание и поддержка эффективных CI/CD пайплайнов для оптимизации развертывания приложений.
— Мониторинг и быстрое решение проблем с приложениями и инфраструктурой.
— Взаимодействие с кросс-функциональными командами для обеспечения плавной интеграции и развертывания ПО.
— Обеспечение соблюдения политик безопасности и лучших отраслевых практик.
— Автоматизация процессов развертывания инфраструктуры и приложений.
— Обеспечение устойчивости и доступности производственных систем.
Требования:
— Опыт работы более 5 лет в области облачных технологий, инфраструктуры или разработки ПО.
— Глубокие знания AWS сервисов: EC2, S3, RDS, CloudFront, VPC, Lambda и др.
— Владение инструментами Infrastructure as Code (IaC): Ansible, Terraform, AWS CDK.
— Опыт работы с контейнеризацией и оркестрацией: Docker, Kubernetes (EKS/ECS).
— Знание скриптовых языков: Python, Bash, Golang.
— Опыт работы с CI/CD инструментами: Gitlab, Gitlab-CI, FluxCD(v2).
— Хорошее понимание сетевых принципов и протоколов.
— Знание Service Mesh, в частности Istio.
— Опыт работы с инструментами мониторинга: Prometheus, VictoriaMetrics, AlertManager, Grafana.
— Способность работать в динамичной, быстро меняющейся среде.
— Отличные аналитические, проблемно-решающие и коммуникативные навыки.
Задачи:
— Функциональное и регрессионное тестирование Android-приложения
— Анализ логов в Android Studio, проверка push и offline-сценариев, разных разрешений экранов
— Анализ падений через Crashlytics
— Тестирование веб-версии: кросс-браузерность и адаптивность
— Проверка REST API в Postman
— Тест-кейсы и чек-листы в TestRail, баги в YouTrack
— Участие в планировании, грумингах и релизных приёмках
Требования:
— 3+ года в manual QA
— 2+ года тестирования Android
— 1+ год тестирования Web
— Опыт кросс-браузерного и адаптивного тестирования
— Опыт работы с Android Studio, анализ логов
— Опыт работы с Postman, TestRail, YouTrack
— Системный подход и внимательность
Условия:
— Официальное трудоустройство по ТК
— Офис в Ереване, график 5/2 (8 часов)
— ДМС, оплачиваемые отпуска и больничные
— Компенсация обучения, английского и спорта
— Доп. 4 day-off в год
Location: Turkey; Istanbul
Workplace: onsite
The international technology company Ajax Systems opens a full-cycle production facility in Türkiye. Ajax Systems is the largest developer and manufacturer of security systems in Europe. The back office, R&D department, and two full-cycle production facilities are located in Ukraine. The company has branch offices worldwide: UAE (Dubai), Italy, Spain, Germany, Poland, Canada, and many other regions. Ajax team has more than 2,200 employees, including 500 developers and 1,200 production workers. Attracting local expertise in each key market enables us to scale the product globally and grow fast.
Location: Istanbul, DESBAS(Tuzla)
Job Responsibilities:
Prepare and update technological documentation (instructions, assembly schemes, route maps, quality standards),
Support the development of production processes, equipment, and automation tools,
Define and create technical requirements for devices, equipment, and special tools,
Calculate material and energy consumption standards, and analyze process efficiency,
Ensure continuous improvement of production processes, and actively participate in projects to enhance quality and productivity.
Implement Lean Manufacturing, 5S, and Kaizen practices on the production floor
Develop and lead cost-saving projects focused on continuous improvement
Analyze and improve production processes to enhance overall efficiency
Conduct line balancing studies to optimize production flow
Perform productivity analyses and propose actions to increase production effectiveness
Provide training to production staff on technical knowledge, processes, and improvement methods
Qualifications:
Bachelor’s degree in a industrial engineering field,
Minimum 3 years of experience in production processes (preferably in the electronics manufacturing sector),
Experience in preparing technical documentation, process analysis, and optimization,
Knowledge of automation and mechanization systems,
Knowledge and hands-on experience in lean manufacturing principles,
Good command of English (written and verbal),
Strong analytical thinking, teamwork-oriented, and result-driven.
Location: United Kingdom (Remote); United Kingdom (Hybrid)
Workplace: Remote
Most money apps talk at you. Cleo talks back ✨
We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance.
The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.
We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.
Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥
MEET THE TEAM
Here at Cleo, we have ~200 Engineers organised into Pillars ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development and growth.
ABOUT THE ROLE
We're hiring Senior Backend Engineers to join one of our cross-functional product squads - working closely with other engineers, designers, analysts, and product partners to build features that improve our users' financial health.
We care far more about how you think than which language you've used before. Much of our product runs on Ruby today, but we deliberately hire polyglot engineers: if you've shipped meaningful product work in any modern stack, you'll ramp quickly here.
Key responsibilities for this role include:
- Shape the direction of upcoming work - break down ambiguous problems with your squad and help drive projects from early discovery through to shipped impact
- Build and evolve the APIs, data models, and business logic behind our product; no Ruby experience required, just strong fundamentals and sound judgement on trade-offs
- Contribute to testing, observability, and experimentation, and help continuously raise the bar on developer experience and product quality
- Drive high-impact initiatives such as our secured credit card, budgeting and financial insight features, and subscription/pricing experiments
- Mentor engineers at your level and beyond, share knowledge generously, and help build a culture where people grow quickly and have real influence
WHAT WE'RE LOOKING FOR
- An experienced engineer with solid fundamentals, having worked across any modern tech stack - the specific language matters less than your ability to reason clearly, learn quickly, and think in trade-offs
- A track record of writing maintainable, thoughtful code and making sound technical decisions with minimal oversight
- Comfortable working with Ruby, or confident you can ramp up quickly in it - deep Ruby experience isn't required
- Strong collaboration skills with product, design, and data partners, with genuine curiosity about users and their problems
- Experience mentoring or raising the bar for engineers around you, and contributing positively to team culture
- Motivated by Cleo's mission - you care about building products that genuinely improve people's financial health
- Alignment with our engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles - autonomy, accountability, pragmatism, and building things that matter
WHAT WE OFFER
We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements.
For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈
WHAT MATTERS
Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits.
We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know.
We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!
Location: Canada
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
- Strong frontend skills with TypeScript/JavaScript and React
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
- Experience building data-oriented interfaces and visualizations
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:
— Проектировать и запускать пакетные и потоковые конвейеры данных на Databricks и Apache Spark в AWS, включая загрузку из баз данных, API и потоков событий.
— Формировать архитектуру lakehouse на S3 и Delta Lake с использованием медальонного слоя (Bronze / Silver / Gold) и оптимизацией хранения.
— Работать напрямую с аналитиками, инженерами и продуктовыми командами для преобразования сырых данных в надежные и полезные бизнес-данные.
— Вести проекты от согласования с заинтересованными сторонами и обзора дизайна до реализации, запуска и поддержки.
— Создавать решения для самостоятельного доступа к данным для других команд, масштабируемые и расширяемые.
— Строить и поддерживать масштабируемые ETL/ELT конвейеры с отказоустойчивостью и оптимизацией затрат.
— Оптимизировать Spark задачи по размеру кластера, кэшированию, соединениям, шифлам, партиционированию и форматам хранения (Parquet, Delta).
— Управлять рабочими процессами Databricks, заданиями, конфигурациями кластеров и инфраструктурой, включая политики безопасности и доступ.
— Внедрять управление данными и контроль доступа с Unity Catalog, включая обработку персональных данных.
Требования:
— Практический опыт работы с Databricks и глубокое владение Apache Spark (PySpark и/или Scala).
— Сильные навыки Python для обработки данных, а также SQL и Spark SQL для трансформаций и аналитики.
— Опыт работы с Delta Lake и архитектурами lakehouse, включая оптимизацию производительности.
— Подтвержденный опыт владения проектами, умение выявлять слабые места, собирать обратную связь и создавать масштабируемые решения.
— Опыт написания чистого, тестируемого и поддерживаемого кода с использованием контроля версий на Git.
— Опыт работы с инфраструктурой как кодом (Terraform или Ansible) является плюсом, но не обязателен.
Условия:
— Возможность создавать инновационные решения в финтехе Юго-Восточной Азии.
— Опционы на акции с четырехлетним вестингом и 25% клиффом после первого года.
— Гибридный формат работы с возможностью полностью удаленной работы для подходящих ролей, основные часы с 12:00 до 19:00 по манильскому времени (UTC+8).
— Предоставление инструментов и оборудования компанией.
— Офис в Bonifacio Global City, Манила.
— Медицинская страховка с поддержкой для сотрудника и семьи.
— Доступ к внутреннему специалисту по психическому здоровью.
— 22 дня отпуска, государственные праздники Филиппин и 15 дней больничных.
— 105 дней оплачиваемого декретного отпуска и до 14 дней оплачиваемого отпуска по уходу за ребенком для сотрудников, переезжающих в Манилу.
— Поддержка при релокации для сотрудника и семьи, включая перелеты, проживание, визы, оформление документов и логистику.
— Возмещение расходов на перевозку домашних животных.
— Ежегодно до 2500 долларов США на перелеты домой.
— Ежемесячные выплаты на детей для сотрудников, переезжающих в Манилу: 1000 долларов на ребенка до 2 лет и 500 долларов на ребенка от 2 до 18 лет.
— Возможности для профессионального роста через внутренние встречи, внешние конференции, выступления и публикации.
— Спонсируемые компанией поездки в Манилу для личных встреч с командой.
— Регулярные командные выезды, спортивные мероприятия и события.
— Возможность для высокоэффективных команд получить неделю отдыха на пляже в Юго-Восточной Азии.
Location: United States
Workplace: Remote
NOTE: This role is not office-based, and the final candidate can be in any EMEA country ClickHouse hires in (such as The Netherlands, Germany, Spain, Italy, UK, or Portugal).
We are looking for a Senior Software Engineer to drive the development of AI/ML-powered features in ClickHouse Cloud. In this role, you will bridge the gap between a high-performance database technology like ClickHouse and AI capabilities, implementing AI/ML integrations and end-to-end solutions from the Inference API layer to the user interface that enhance how users interact with and extract value from their data.
What will you do?
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
What you bring along:
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Strong frontend skills with TypeScript/JavaScript and React
- You have a high level of ownership and can drive features from concept to production with minimal supervision
- You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
Nice to have
- Experience building data-oriented interfaces and visualizations
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
#LI-Remote
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: Middle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
IN THIS ROLE, YOU WILL:
- Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
- Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
- Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
- Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
- Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
- Travel to customer premises between 20-40%
YOU MAY BE A GOOD FIT IF:
- You have experience with and enjoy working directly with customers
- You have experience deploying enterprise software in private/hybrid cloud environments
- You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm
- Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
- You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
- You excel in fast-paced environments and can execute while priorities and objectives are a moving target
- You are fluent in Arabic and English
IT'S A BONUS IF YOU HAVE…
- Familiarity with GPU node orchestration & scheduling
- You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Pro Verifications team decides whether a business signing up on the Pro side is who it says it is, and whether we're allowed to onboard it. That means figuring out who actually owns the business, running it against sanctions and watchlists, and doing all of it fast enough that a real customer doesn't lose patience and leave. Every Pro customer hits these systems, so slow or wrong is very visible — and the team is early, which means whoever joins gets to decide how a lot of it works instead of inheriting it.
How We Work
- We deploy constantly, almost always behind a flag, in pieces small enough to pull back fast.
- Security and compliance show up at design time, not as a gate at the end.
- Every story is tied to a metric it's meant to move — if work isn't on the board, it doesn't get staffed.
- At this level, you're expected to shape these standards, not just work inside them.
THE OPPORTUNITY
As a Staff Engineer on Pro Verifications, you'll own the technical direction for how verification is built here — the architecture, the patterns other engineers work inside, and the calls about what we own versus what we lean on a vendor for. You'll be hands-on across the stack, drive out entire classes of recurring failure rather than patching them one at a time, and design the fail-closed and audit behavior that keeps regulators satisfied.
This is a high-impact, hands-on technical leadership role for engineers who've built where being wrong has real consequences, and who want to shape a system that stays fast, safe, and defensible as it grows.
- Set the shape of the verification services and their contracts across the KYC/KYB flow.
- Decide how we abstract KYC and KYB vendors so a bad provider day doesn't turn into an outage.
- Design fail-closed behavior and audit trails that hold up under regulatory scrutiny.
- Identify the classes of failure that keep recurring and remove them for good.
- Write and drive architecture decisions (ADRs), and hold the line on security and compliance at design time, not as a late gate.
- Mentor and raise the bar for senior engineers through design reviews, code, and direct feedback.
- Be measured on whether verification gets faster, more of it decides itself, fewer decisions are wrong, and the systems stay up — and on whether the team got stronger for you being on it.
WHAT YOU BRING
- Around eight years building and running production systems, with a track record of owning a domain's technical direction, not just delivering inside one.
- Deep, fluent expertise in Rust, with the versatility to work across TypeScript and React where verification meets the customer.
- You've set architecture other people build on, and it held up — you can point to specific classes of failure you designed out, not just incidents you fixed.
- You've made teams faster through patterns, tooling, or mentoring — engineers around you got better and shipped more because of calls you made.
- You've built where being wrong had real consequences: compliance, payments, security, or anywhere a bad call costs more than a rough user experience.
- Strong on distributed systems, service contracts, and secure design — you've integrated third-party APIs that couldn't be trusted, with real timeouts, retries, idempotency, circuit breakers, and backup paths that actually get tested.
- Comfortable with, or able to quickly ramp on, gRPC, Temporal, Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, and GitLab CI.
NICE TO HAVES
- Direct experience with KYC, KYB, or fraud work, including integrating providers like Trulioo, Persona, or ComplyAdvantage.
- Comfort building with AI in the loop.
- Time spent in crypto, fintech, or another space regulators pay close attention to.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
УдалённоNo matter what, working hours must overlap with EST for at least 20 hours/week
УдалённоUnited Kingdom (Remote); United Kingdom (Hybrid)
УдалённоseniorCanada
ГибридГеография найма не уточнена
УдалённоseniorUnited States
ГибридmiddleMiddle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh
УдалённоBrazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
