Location: NAMER and LatAm
About the Team
IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently — from identity and endpoint management to the platforms every team relies on to do their work. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops rather than leave it disjointed across teams. The team — a Technical Lead plus one or two AI Ops Engineers — reporting to the IT Business Systems Manager, and brings the same rigor IT Ops applies to systems and infrastructure to the design, deployment, and lifecycle management of AI solutions and the agents they power.
About the Role
We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business (People, Finance, Legal, and beyond) and engineering — building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI Ops for the first time.
Success
This is a net-new function; specific goals will be set with your Technical Lead. Directionally, the team is measured on:
- Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibility
- A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teams
- Agents and AI workflows built, deployed, and maintained cross-functionally (People, Finance, Legal, Engineering, and beyond)
- Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usage
- Established identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements
YOU WILL
Build AI-Powered Solutions
- Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use cases
- Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management
- Build workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases
- Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context
Support Model Evaluation
- Help test and benchmark AI models against accuracy, latency, cost, and safety criteria
- Support model risk assessments and due diligence alongside Security and GRC
- Help implement and maintain the internal model routing solution
Support Cost Visibility
- Help build dashboards and reporting for AI/LLM spend across teams and tools
- Implement tagging, monitoring, and alerting for cost anomalies
- Identify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing)
Maintain Agent Infrastructure
- Help provision, credential, and de-provision AI agent access
- Support deployment, versioning, monitoring, and retirement of agents
- Maintain and patch agent infrastructure and dependencies
- Help maintain audit trails and logging for agent actions
Deliver Training and Enablement
- Design and deliver company-wide AI training programs tailored to different audiences — non-technical business users through engineers
- Create lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoption
- Run onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agents
- Establish a feedback loop with users to continuously improve training content, tooling, and documentation
YOU BRING
You are not expected to have every skill below — tell us which are your strongest.
- Experience building with modern AI/ML tools and frameworks
- Experience building and consuming APIs, developing data pipelines, and architecting system integrations
- Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in production
- Experience comparing and evaluating AI models across providers, including trade-offs between cost, latency, and quality
- Comfort working with usage and billing data to build cost visibility, forecasting, or optimization
- Ability to understand both business and engineering workflows and translate them into technical solutions
- Experience working with or integrating business systems as well as engineering/developer tooling
- Experience creating training materials, documentation, or workshops for mixed technical/non-technical audiences
- Understanding of data privacy, security, and compliance considerations
- Experience implementing safeguards in AI systems, including identity and access controls for automated/non-human actors
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: Costa Mesa, United States; United States
What You'Ll Do
Full Cycle PCB Design: Translate system-level propulsion requirements into robust designs. Perform schematic capture and high-density PCB layouts (with a strong preference for Altium), component selection, bring-up, test, debug, and integration with
the propulsion system.
Engine System Electronics: Design and optimize flight controller circuits, power distribution/supplies, motor controller circuits, and electromagnetic actuator circuits.
Rigorous Analysis: Conduct circuit simulations, worst-case analysis (WCA), thermal analysis, DFMEA, and component derating to ensure reliability under extreme vibration and temperature environments.
Comprehensive Testing: Lead board bring-ups, Design Verification Testing (DVT), qualification (Qual) testing, and functional testing.
Collaborative Design: Provide electrical support and collaborate closely with mechanical, thermal, software, test, quality, manufacturing, and systems engineering teams for development.
Peer Reviews: Conduct peer-level and cross-discipline design reviews.
Root Cause Analysis: Perform root cause and failure analysis in support of engine test and field operations.
Required Qualifications
Education & Experience: Bachelor’s Degree in Electrical Engineering (BSEE) with 5+ years of experience designing, testing, and troubleshooting complex board designs.
Technical Fundamentals: Solid engineering fundamentals across Analog, Digital, and Power Electronics.
Software & Tools: Deep proficiency with electronic design tools, specifically Altium Designer (or equivalent for schematic and layout) and LTSpice (or equivalent for circuit simulation).
Laboratory Equipment: Competence with laboratory test equipment such as oscilloscopes, logic analyzers, thermal chambers, spectrum analyzers, function generators, DMMs, electronic loads, power supplies, and test automation.
Interfaces & Protocols: Familiarity with standard interfaces (CAN, I2C, SPI, Ethernet) and common MCU/CPU architectures.
Security Clearance: Eligible to obtain and maintain an active U.S. Secret security clearance.
Preferred Qualifications
Education: Master’s Degree in Electrical Engineering (MSEE).
Advanced Tools: Experience with MATLAB / Simulink for data analysis, control loop modeling, or system simulations.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
As a Software Engineering Intern for Winter 2027, you'll join a Vercel engineering team and ship production code that customers use. By the end of your internship, you'll have scoped, built, and shipped an end-to-end project, with mentorship from the engineers who own the system. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday.
What you’ll do
Own an end-to-end project: scope it with your manager, build it, and ship it to customers
Write production code and review pull requests alongside the engineers who maintain it
Debug live systems by tracing issues through the stack and fixing the root cause
Post written progress updates and flag blockers as soon as they come up
What you need
Currently pursuing a degree in Computer Science, Engineering, or a related field, graduating in Fall 2027 or Spring 2028
Built and shipped at least one project in JavaScript or TypeScript, through coursework, a prior internship, open source, or your own work
Use AI coding tools in your daily workflow, and can explain and debug every line you ship
Bonus if you
Have written code in Go or Rust
Have contributed a merged pull request to an open-source project
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
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Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
As a Software Engineering Intern for Summer 2027, you'll join a Vercel engineering team and ship production code that customers use. By the end of your internship, you'll have scoped, built, and shipped an end-to-end project, with mentorship from the engineers who own the system. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday.
What you’ll do
Own an end-to-end project: scope it with your manager, build it, and ship it to customers
Write production code and review pull requests alongside the engineers who maintain it
Debug live systems by tracing issues through the stack and fixing the root cause
Post written progress updates and flag blockers as soon as they come up
What you need
Currently pursuing a degree in Computer Science, Engineering, or a related field, graduating in Fall 2027 or Spring 2028
Built and shipped at least one project in JavaScript or TypeScript, through coursework, a prior internship, open source, or your own work
Use AI coding tools in your daily workflow, and can explain and debug every line you ship
Bonus if you
Have written code in Go or Rust
Have contributed a merged pull request to an open-source project
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Задачи:
— Разрабатывать и поддерживать автотесты на Python с использованием Pytest;
— Автоматизировать тестирование backend-систем;
— Поддерживать и развивать существующую тестовую инфраструктуру;
— Работать с SQL для проверки данных;
— Интегрировать автоматизированное тестирование в процессы CI/CD;
— Участвовать в развитии процессов тестирования и внедрении новых подходов к автоматизации.
Требования:
— От 3 лет коммерческого опыта в автоматизации тестирования;
— Уверенный опыт разработки и поддержки автотестов на Python и Pytest;
— Практический опыт автоматизации тестирования backend-систем;
— Отличное знание теории тестирования и умение применять её на практике;
— Знание SQL на уровне написания простых запросов;
— Понимание принципов CI/CD и места автоматизированного тестирования в процессе разработки и доставки продукта.
Будет плюсом:
— Опыт работы с mock-сервисами или инструментами сервисной виртуализации;
— Опыт работы с Allure TestOps;
— Опыт настройки и поддержки тестов в GitLab CI;
— Опыт выстраивания процессов тестирования и внедрения автоматизации в команде с нуля;
— Опыт и понимание предметной области платежных процессов / Payment Gateway;
— Опыт тестирования мобильных приложений.
Условия:
— Офисный формат работы в Limassol, Cyprus;
— Работа над современными fintech продуктами;
— Полный социальный пакет;
— Поддержка с миграционным оформлением;
— Сильная техническая и продуктовая команда;
— Возможность влиять на процессы тестирования и развивать автоматизацию;
— Возможности профессионального роста и развития.
Задачи:
— Владение, развитие и эксплуатация облачной инфраструктуры AWS, включая вычисления, сеть, хранилища и управляемые сервисы.
— Проектирование и поддержка инфраструктуры с высокой доступностью, предсказуемой производительностью и финансовой корректностью.
— Ведение архитектурных решений на уровне платформы, включая миграции сервисов и изменения среды выполнения (например, Redis → Valkey, EKS → ECS/Fargate).
— Обеспечение соответствия инфраструктурных решений требованиям надежности, стоимости и простоты эксплуатации.
— Проектирование и поддержка безопасных, повторяемых и наблюдаемых конвейеров развертывания.
— Ответственность за надежность системы через планирование емкости, моделирование отказов и управляемые изменения.
— Руководство реагированием на инциденты и анализом корневых причин сбоев инфраструктуры.
— Участие в дежурствах и постоянное улучшение операционной эргономики.
— Создание и поддержка системы наблюдаемости (метрики, логи, трассировка, оповещения).
— Обеспечение безопасной конфигурации ресурсов AWS, политик IAM, управления секретами и сетевых границ.
— Проактивное выявление и устранение рисков инфраструктуры, связанных с масштабированием, стоимостью или безопасностью.
— Тесное сотрудничество с инженерами приложений для понимания ограничений и возможностей платформы.
— Внедрение инфраструктурных изменений через практическую реализацию.
— Установление стандартов и лучших практик для инфраструктуры, развертывания и эксплуатации.
— Наставничество других инженеров платформы и повышение операционной зрелости организации.
Требования:
— Опыт работы не менее 8 лет в создании и эксплуатации производственной инфраструктуры в облачных средах.
— Глубокие знания основных сервисов AWS (EC2, ECS/EKS, VPC, IAM, RDS, ElastiCache, ALB/NLB, CloudWatch и др.).
— Понимание контейнеризированных рабочих нагрузок и компромиссов оркестрации.
— Опыт проектирования систем с высокой доступностью, отказоустойчивостью и контролируемыми сбоями.
— Практический опыт работы с инфраструктурой как кодом (Terraform, CloudFormation или аналогичные).
— Способность планировать и безопасно выполнять миграции инфраструктуры.
— Опыт отладки реальных инцидентов в продакшене, связанных с сетью, масштабированием или деградацией сервисов.
Преимущества:
— Опыт эксплуатации инфраструктуры для финансовых систем или других высоконадежных областей.
— Опыт масштабирования инфраструктуры в периоды быстрого роста.
— Четкие взгляды на наблюдаемость и операционную гигиену, основанные на прошлом опыте.
— Опыт упрощения, снятия с эксплуатации или реархитектуры избыточной инфраструктуры.
— Уверенность в работе с приложениями на Rails при сохранении инструментальной независимости.
Условия:
— Удаленная работа (США).
— Конкурентная зарплата $190,000 - $200,000 в год, в зависимости от опыта.
— Щедрый отпуск и праздничные дни.
— Оплачиваемое краткосрочное пособие по нетрудоспособности.
— Полное покрытие работодателем медицинской и стоматологической страховки для сотрудников (с возможностью расширенного покрытия за дополнительную плату сотрудника).
— Возможность участия в программе ухода за детьми и щедрый декретный отпуск.
Компания:
inKind — финтех-компания и мобильное приложение, соединяющее рестораны, ищущие финансирование, с клиентами, желающими получить скидки и бонусы. Платформа поддерживает миллионы пользователей и тысячи ресторанов по всей стране, помогая гостям получать вознаграждения за посещение ресторанов и поддерживать ресторанное сообщество.
inKind является работодателем, предоставляющим равные возможности, и поддерживает разнообразие и инклюзивность в рабочей среде.
Plurio is an AI agent that automates media buying on Meta, Google, and TikTok for teams spending $300K–$15M a month, handling daily analysis, optimization calls, and execution directly in ad accounts. The system runs over $500M/year in ad spend and has grown 5× since March. The role involves owning the Meta Ads methodology encoded as deterministic rules and skills within the AI agent, improving and testing the algorithm to run Meta media buying end to end from inputs like goals, parameters, and creatives. Responsibilities include maintaining a single source of truth methodology, improving it by generating and testing hypotheses on historical data, building a testing machine to automate testing cycles, and creating implementation and control skills for account audits and adaptations. The ideal candidate is a top expert in Meta methodology with experience running media buying at scale (~$500K+/month), possessing deep knowledge of Meta account architecture, creative testing, data analysis, and decision logic beyond simple rules. They should be AI-native, able to build pipelines and automation by hand, and convert logic into deterministic skills backtested before deployment. The team includes top performance marketing and product experts from major agencies and ad platforms. The position offers up to $180,000/year gross, remote work worldwide within UTC+5 timezone, provided tools including AI infrastructure, 50% education cost coverage, two weeks vacation twice a year plus holidays, and employment via Deel contract. Application is through the "Apply for this role" button on the provided link, followed by recruiter contact and interviews with leadership.
About the company Join FxPro: a leading international fintech company with offices in Limassol, London, Nassau, Dubai, and Yerevan. FxPro has over 600 employees from 50 nationalities.
Senior QA Engineer IT Backend Development / ConfigPro - Cyprus, Ypsonas
Responsibilities:
— Perform manual and automated testing for both backend and web frontend
— Design and maintain comprehensive test suites: test cases, checklists, and test plans
— Conduct regression, smoke, sanity, performance, and load testing
— Build and scale test automation using Playwright (TypeScript), with clean, maintainable code
— Use Charles Proxy, Proxyman, Postman, and Swagger to thoroughly test and validate APIs and frontend testing
— Write and run SQL queries to validate data integrity directly in the database using dBeaver
— Use Kibana logs to support root cause analysis and accelerate debugging
— Collaborate with analysts and developers to clarify requirements, identify edge cases, and improve documentation
— Provide realistic effort estimations and take initiative on QA process improvements
Requirements:
— 3+ years in QA with a proven track record in both manual and automated testing
— Deep understanding of REST APIs, HTML/CSS, and client-server architecture
— Proficiency in TypeScript/JavaScript
— Experience with using Playwright for full-stack test automation
— Strong SQL skills and hands-on experience with relational databases and tools like dBeaver
— Comfortable with GitLab, and the full CI/CD workflow (experience with tools like Jenkins)
— Advanced experience with Postman, Swagger, Charles Proxy, Proxyman (for onsite testing)
— Familiarity with TestRail for test management, Kibana for log analysis, and IDEs like VSCode or WebStorm
— Sharp analytical thinking, high attention to detail, and genuine ownership of quality outcomes
— Effective communication skills, being adaptable and proactive in a collaborative team environment
Interview steps:
— Recruiter screen (~30 minutes)
— Technical Interview (90 minutes)
— Final Interview with managers (60 minutes)
Our benefits:
— Competitive compensation package
— Medical insurance
— Provident fund
— In-house gym with a personal trainer
— Free daily lunch catering, snacks, and beverages
— Company discount card for various products & services
— 21 days of annual leave and 10 days of sick leave annually
— Shuttle bus service from Limassol
— Birthday gift
Location: Barcelona
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 one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.
How you'll make an impact
- Provide technical support to merchants during their implementation of Checkout.com http://Checkout.com payment processing technology
- Answer all merchants’ integration related questions, including but not limited to configuration, debugging, documentation, testing, go-live support, and post-live support
- Manage incidents as related to the integration (investigation, troubleshooting, escalation, resolution, reporting, time tracking and analysis of incidents)
- Collaborate and partner with internal teams such as Merchant Configuration, Sales, Account Managers, and Merchant Care, to resolve issues during customer trials, integrations, or post-implementation support
- Interact with the Product teams to pinpoint improvement ideas
- Advise Manager on issues which impact customer satisfaction and provide recommendations for appropriate actions
- Ability to multitask with multiple projects and integrations of customers
- Maintain/update existing libraries/plugins used in integrations
QUALIFICATIONS
- Technical support experience in a Tech/FinTech company
- Have payments experience would be advantageous
- Understanding of API, REST, webhooks and logs is required
- Strong coding skills in at least one of these languages: Java, Javascripts, PHP, Python, Go, C#
- Experience with Node.js, React is a plus
- Knowledge in iOS/Android is a plus
- Excellent communication skills, ability to build and maintain strong relationships
- Ability to work in a customer-focused and target-driven environment
- Fluency in Spanish and English. Any other languages are a plus
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/
Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought.
Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path.
🛠️ THE STACK
Python/Flask, Typescript, React on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it.
🤖 THE TECH FOUNDATIONS AREA
🎯 Mission: Tech Foundations enables product crews and creates the environment to thrive—combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless.
🔭 Scope:
1. Infrastructure enablement for product crews (e.g. hosting improvements https://www.qovery.com/case-study/alan-case-study/, CI/CD https://medium.com/alan/moving-our-ci-cd-to-github-actions-40df3f7e4733, scalability, multi-cloud architecture)
2. Security and compliance facilitation (e.g. authentication, encryption, threat protection)
3. Developer productivity enhancements (e.g. local environment setup https://medium.com/alan/our-journey-from-react-native-to-expo-for-mobile-app-development-at-alan-%EF%B8%8F-3b1569e8ab7c, monorepo tooling https://medium.com/alan/building-debug-tooling-for-engineers-and-support-teams-alike-34cab315b9cc, observability, tech stack evolution, accessibility audits)
4. AI-assisted engineering enablement (e.g. agentic development, code assistants, MCP servers)
👀 Focus for 2026:
In 2026, we will grow the team significantly to further increase our impact. We want to expand our cloud footprint with a revisited multi-cloud strategy as we expand internationally, while we’re elevating the quality bar, from infrastructure to code foundations (backend/frontend/mobile). We are also evolving our AI-augmented development, by putting AI code assistants as a first-class citizen for everyone, including non-engineers. Ultimately we have massive ambitions around our Security stack and posture with enhanced tools and processes to protect our developers and users.
⭐ IS IT YOU WE’RE LOOKING FOR?
EXPERIENCE WE VALUE
- 3+ years in full-stack software engineering roles
- Experience building internal tools, frameworks, CLIs, or libraries that improve developer workflows
- Experience fixing scalability issues and/or bottleneck in the software development lifecycle, from writing code to deploying to production
MINDSET WE VALUE
- You think in terms of developer experience: engineers are your customers
- You are collaborative, humble, and motivated by enabling others
- You simplify complexity with elegant abstractions and maintainable code
- You're excited about AI and automation in engineering workflows
- You are fluent in English (no French required)
- But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
🌍 HOW WE WORK
- Location: You must be legally eligible to work in France, Belgium, or Spain.
- Remote work: We offer remote work flexibility, but we value in-person collaboration
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.
Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd)
Workplace: Hybrid
The role
You will lead the design and implementation of AI research and production infrastructure at scale, ensuring our systems remain flexible, cost-effective, and robust. By managing technical debt and directing strategies for distributed systems, your technical decisions will directly influence products that serve millions of daily users.
Beyond architecture, your impact lies in lifting the technical capability of the entire AI Products team. You will champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance data usability, ensuring we solve complex technical challenges with the right methods.
The team / how they connect
You will join the AI Products group, a diverse, globally distributed team of scientists, engineers, product managers, and analysts within our broader Data & Science division. Machine Learning Engineers partner closely with Applied Scientists during the research phase to build interfaces and harnesses that safely transition models from research to production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses.
The team is currently working on
- Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production.
- JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences.
- Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks.
- XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale.
- End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.
Where and how you can work
Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively.
Here are some of the things we are looking for
- You will bring excellent system design and coding proficiency in Python or alternative languages suited for web-scale AI applications
- A deep understanding of distributed processing principles alongside strong SQL capabilities is essential for success
- Your exceptional communication skills enable you to easily translate complex technical concepts for both business and technical audiences
- Having a natural coaching mindset will allow you to successfully establish engineering standards and mentor junior machine learning colleagues
- An eagerness to learn, master, and implement Large Language Model technologies into product features
- Experience utilizing frameworks like MLFlow, TensorFlow, or PyTorch, combined with knowledge of data orchestration tools, will be highly valued
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.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
About the Role
We’re looking for a new-generation AI builder — someone between a software engineer, prompt engineer, automation hacker, and product innovator.
This is not a traditional SWE role.
You’ll work on AI-native products, internal agents, automations, and experimental workflows powered by the latest frontier models, open-source tooling, MCP ecosystems, and multimodal systems.
You should be the kind of person who constantly explores what’s happening in AI:
- new agent frameworks
- open-source tooling
- AI video & creative workflows
- MCP servers
- coding agents
- automation stacks
- multimodal systems
- new product patterns emerging every week
You don’t just follow trends — you prototype them.
WHO WE’RE LOOKING FOR
You might be a fit if you:
- Are a hustler who ships fast and experiments constantly
- Have strong intuition for building new AI-native products and workflows
- Stay deeply plugged into the AI ecosystem and emerging tooling
- Understand how modern AI agents actually work under the hood
- Can automate things quickly and creatively
- Think in systems and workflows, not just prompts
- Have strong product taste and curiosity
- Thrive in fast-moving, ambiguous environments
- Learn new tools obsessively fast
MUST-HAVE SKILLS
- Experience with JavaScript or Python (ideally both)
- Comfortable building prototypes, automations, and internal tools
- Understanding of:
- LLMs
- tokens/context windows
- APIs & CLI tooling
- MCP ecosystems
- agent frameworks
- tool use & orchestration
- RAG / retrieval concepts
- Experience using modern AI coding workflows and AI-native tooling
- Ability to quickly turn ideas into working demos or systems
BIG PLUS
- Experience with ML or training/inference infrastructure
- Experience with multimodal or video-generation tooling
- Familiarity with open-source AI ecosystems
- Experience building agentic systems or autonomous workflows
- Strong vibe-coding energy
WHAT YOU’LL WORK ON
- Build AI-native internal and external products
- Prototype new agentic workflows and automation systems
- Explore frontier AI tooling and identify new product opportunities
- Experiment with multimodal generation systems
- Build automations across engineering, creative, and operational workflows
- Work closely with product, infra, and research teams
- Help the company stay ahead of where the AI market is going
THE DEAL
- Top-of-market compensation in USD.
- Small team, high autonomy, and outsized impact.
- On-site role in our Almaty office (we will relocate you from anywhere).
Azati is an international IT company that specializes in custom software development and building intelligent business solutions.
Work format: Remote work or on-site.
Задачи:
— Развивать и поддерживать кроссплатформенное десктопное приложение для Windows и macOS, включая системный слой и сетевой стек;
— Диагностировать неочевидные проблемы, связанные с сетью, демонами и различиями между платформами;
— Профилировать приложение для выявления утечек, гонок и деградации производительности;
— Вести задачи целиком — от постановки до проверенного релиза.
Требования:
— Сильный коммерческий опыт разработки на Go, включая concurrency, управление процессами и ресурсами, обработку ошибок и тестирование;
— Опыт системной разработки под Windows и/или macOS, включая работу со службами и демонами, правами доступа, системными API и IPC;
— Хорошее понимание TCP/IP, DNS и маршрутизации;
— Умение диагностировать и профилировать приложения;
— Опыт разработки и поддержки кроссплатформенных приложений;
— Умение быстро разбираться в существующей кодовой базе и доводить изменения от задачи до проверенного релиза;
— Минимальное знание TypeScript;
— Профессиональный опыт работы с Claude, Codex, Kimi или другими LLM.
Условия:
— Полностью удалённая работа, полный рабочий день, 5/2;
— Конкурентная заработная плата;
— Испытательный срок 1 месяц, полностью оплачивается;
— Возможность влиять на архитектуру продукта;
— Небольшая сильная команда без бюрократии и долгих согласований.
Задачи:
— Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций.
— Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе.
— Разработка backend-сервисов и API для сбора, обогащения и запросов данных.
— Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей.
— Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников.
— Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes.
— Выступать техническим лидером по вопросам дизайна систем, производительности, надежности и поддержки.
— Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования долгосрочной стратегии.
— Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации.
— Ревью дизайнов и кода, повышение технического уровня команды.
— Выявление системных проблем, снижение технического долга, улучшение масштабируемости и опыта разработчиков.
Требования:
— Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными продакшен-системами.
— Способность работать самостоятельно в условиях неопределенности и доводить решения до конца.
— Сильные навыки backend-разработки, включая дизайн API и работу с данными.
— Опыт создания приложений с обработкой, трансформацией и анализом данных.
— Владение одним или несколькими backend-языками: C#, Python, Go, Java.
— Хорошие знания SQL и опыт работы с реляционными базами данных.
— Практический опыт с Docker и контейнеризацией приложений.
— Понимание распределенных систем и облачного нативного дизайна.
— Опыт работы с CI/CD и современными процессами разработки.
— Отличные технические суждения, коммуникация и влияние без формальной власти.
Преимущества:
— Опыт проектирования и эксплуатации систем на Kubernetes.
— Знакомство с PostgreSQL, MySQL или аналогичными базами.
— Опыт с ETL, аналитическими платформами или инструментами для операционных данных.
— Знание облачных платформ GCP или AWS.
— Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии.
— Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры.
Образование и опыт:
— Степень бакалавра в области компьютерных наук или эквивалентный практический опыт.
— Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критичными системами.
Задачи:
— Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций.
— Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе.
— Разработка backend-сервисов и API для сбора, обогащения и запросов данных.
— Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей.
— Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников.
— Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes.
— Выступать техническим авторитетом по вопросам дизайна систем, производительности, надежности и поддержки.
— Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования решений в соответствии с долгосрочной стратегией.
— Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации.
— Ревью дизайнов и кода, предоставление рекомендаций и повышение технического уровня команды.
— Выявление системных проблем, снижение технического долга и улучшение масштабируемости платформы и опыта разработчиков.
Требования:
— Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными производственными системами.
— Способность работать самостоятельно в условиях неопределенности и доводить решения до конца.
— Сильные навыки backend-разработки, включая дизайн API и работу с интенсивными данными сервисами.
— Опыт создания приложений, основанных на данных, включая сбор, трансформацию и анализ.
— Владение одним или несколькими backend-языками: C#, Python, Go, Java.
— Хорошие навыки SQL и опыт работы с реляционными базами данных.
— Практический опыт с Docker и контейнеризацией приложений.
— Понимание основ распределенных систем и облачного дизайна приложений.
— Опыт работы с CI/CD и современными процессами разработки ПО.
— Отличное техническое суждение, коммуникационные навыки и способность влиять без формального авторитета.
Предпочтительный опыт:
— Проектирование и эксплуатация систем на Kubernetes.
— Знакомство с PostgreSQL, MySQL или аналогичными базами данных.
— Опыт работы с ETL-конвейерами, аналитическими платформами или инструментами для операционных данных.
— Опыт работы с облачными платформами GCP или AWS.
— Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии.
— Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры.
Образование и опыт:
— Степень бакалавра в области компьютерных наук или смежной области, либо эквивалентный практический опыт.
— Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критическими системами.
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