Location: Spain; Portugal; Greece
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
🎯 Your main goal will be to land and expand n8n inside the world’s largest organisations, closing the biggest deals in our portfolio.
As a Large Enterprise Account Executive covering Southern Europe, you will own a territory of global-scale accounts and lead long, complex deals from first conversation to multi-year commitment:
BUILD STRATEGIC ACCOUNT PLANS
- Build and execute account strategies for organisations with 5,001 or more employees
- Open doors with outbound campaigns aimed at CTOs, CIOs and engineering and platform leaders.
- Turn community adoption inside large companies into sponsored, funded opportunities.
LEAD COMPLEX, MULTI-THREADED DEALS
- Run deep discovery, quantify business impact and build an executive-level business case.
- Map and align decision makers across engineering, IT, security, legal and procurement.
- Partner with Solutions Engineers, Partnerships and Customer Success to prove value and de-risk adoption.
CLOSE AND EXPAND AT SCALE
- Own the cycle through security, legal and procurement, typically over three to six months or more.
- Negotiate six-figure deals with confidence and keep clear commercial control.
- Plan expansion across business units and use cases, and share what you learn with Product and leadership.
REQUIREMENTS
MUST-HAVES
- 🏢 Large Enterprise sales: You have at least five years of enterprise SaaS sales experience, selling into organisations with 5,001 or more employees, and you can explain customer size, deal complexity and cycle length.
- 💰 Six-figure deals: You have closed multiple deals of £100k+ ACV in multi-stakeholder cycles of three to six months or more.
- 🧑💻 Technical buyers and executives: You have sold to developers, engineers, CTOs and CIOs, and you can carry a technical conversation and an executive one in the same deal.
- 🎯 New-logo hunter: You generate your own pipeline through outbound and win new customers rather than relying on expansion or inbound.
- 📈 Track record: You have consistently hit or exceeded quota over the past two to three years.
- 🧭 Structured selling: You use a methodology such as MEDDPICC and navigate technical evaluations, procurement, legal and security reviews.
- 📍 Location: You are based in the South of Europe and you already have the right to work there. This role covers the Southern Europe territory and involves regular travel to customers in the region.
NICE-TO-HAVES
- 🛠️ Technical product background: You have sold developer tools, cloud infrastructure, data, AI or automation platforms.
- 🤝 Partner-led deals: You have worked deals with system integrators or cloud partners.
- 🚀 Open source or PLG exposure: You understand how community adoption turns into enterprise revenue.
Why join us?
You will close the largest deals in our portfolio and shape how n8n sells to the world’s biggest organisations, with a product technical teams already use and love. You will work closely with Solutions Engineers, Partnerships, Customer Success and Product, and leadership will listen to what you learn in the field. n8n is growing at an exceptional pace, backed by a vibrant community and a remote-first culture built on autonomy, experimentation and high talent density. Apply now and help us bring AI-powered automation to the global enterprise.
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Location: Remote - EMEA
Workplace: Remote
ABOUT US
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
ABOUT THE TEAM
The Retail Media team is building a platform for connecting ecommerce retailers and brands. In a nutshell, retail media is the product that allows a brand to buy a placement within our customer’s search, browse, recommendations, collections, or quizzes results. A comprehensive retail media platform integrates seamlessly with online retailers, offering advanced targeting, bidding, and analytics capabilities. This platform aims to enhance ad visibility, optimize ad placement, and provide robust performance analytics. We're a passionate team of cross-functional engineers who love challenges and want to make people’s lives better. We value openness, curiosity, continuous improvement, and great code. We believe that empowering everyone in a company to do what they think is best can lead to great things.
The Retail Media team is new and looking for Senior engineers who will help us build backend services, integrate with data warehouse and other services managing results order, and more.
ABOUT THE JOB
The primary focus of this job is to design, deliver & maintain web services in close collaboration with other engineers.
- Build / deploy / support services using Python and FastAPI
- Write AWS CloudFormation scripts, Jenkins jobs, Github actions following best industry standards
- Set up service observability, monitoring metrics, and alerting (Prometheus, Grafana, PagerDuty, AWS CloudWatch)
- Implement CI/CD pipelines and separate stability testing
- Collaborate with technical and non-technical business partners to develop / update functionalities
- Communicate with stakeholders within and outside the team
REQUIREMENTS
- Strong computer science background & familiarity with networking principles.
- Experience in designing, developing & maintaining highload real-time services.
- Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources.
- Hands-on experience with setting up and improving CI/CD pipelines.
- Proficiency in Python.
- Experience in server-side coding for web services, and a good understanding of API design principles.
- Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty.
- Familiarity with Service-Oriented Architecture, knowledge of communication protocols like protobuf.
- Experience with NoSQL and relational databases, distributed systems, and caching solutions (MySQL/PostgreSQL, ClickHouse/Athena).
- Experience with any of the major public cloud service providers: AWS, Azure, GCP.
- Experience collaborating in cross-functional teams.
- Excellent English communication skills.
- Ideal candidate has previous experience building ad tech solutions.
- We're looking for someone who can overlap with 11:00–16:00 UTC — to keep collaboration smooth across time zones.
BENEFITS
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Maternity & Paternity leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
- 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
- 🎉 Regular team offsites to connect and collaborate
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Berlin
Workplace: Remote
HEY THERE!
Ready to put our brand in front of millions of people worldwide? We’re looking for a Data Analyst, Marketing to turn raw campaign and engagement data into decisions — telling us which channels, markets, and customers to target next.
This isn’t a dashboard-building role. You’ll build robust data products, of course — but the real impact comes from the reporting and insight you deliver, and the incremental value that creates for the marketing team.
Let’s shape the future of nutrition together and make Yazio the most successful nutrition app worldwide!
This role is 100% remote and open to candidates based in Germany, Spain, Portugal, or the U.K.
YOUR MISSION
- Show our Performance Marketing team which campaigns to double down on — and which to scale back.
- Partner with our CRM team to learn what messaging resonates with each user segment, then run experiments to measure the uplift.
- Own the data transformation process, from raw channel and MMP data to curated, ready-to-use datasets in our self-service BI tool.
- Define requirements with Data Engineering to ingest new data sources.
- Work with the Analytics team to build a data-driven culture across Yazio.
YOUR PROFILE
- Hands-on experience with performance marketing data for a native mobile app, covering channel-level or MMP data (ideally both).
- Solid grasp of attribution, incrementality, funnel and cohort analysis, plus marketing performance metrics like iROAS and CAC.
- High proficiency in SQL and working knowledge of Python.
- Solid experience in either analytics engineering (e.g., using dbt to transform data) or data science (e.g., geo-lift tests, holdout tests, A/B tests, media mix modeling). You don’t need both, but you should be strong in one.
OUR CORE TECH STACK
We use:
- Snowflake as our core Analytics data warehouse.
- dbt & Dagster to transform & orchestrate our data.
- Growthbook to power experimentation.
- Omni to provide self-service analytics.
- Prefect to handle our ML workflows.
WHY US?
- An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating
- A remote-first setup: work 100% from home, join a co-working space or work abroad for several weeks per year
- 30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you
- A focus-driven culture that values efficiency over long hours — no overtime expectations, and if it happens, you get that time back!
- A high-impact environment where your work drives real change — short decision-making processes and no micromanagement
- A team culture where ambition and balance go hand in hand, supported by strong connections — from our fully covered company retreat to team meetups and virtual coffee breaks
- Tools and support to do your best work: MacBook, monitor and €1,000 annual learning budget, plus regular feedback and career development
- A truly international team with English as our company language and a shared commitment to growth and well-being — supported by Sunday Supplements and Nilo Health
DIVERSITY AND INCLUSION
At Yazio, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where everyone, regardless of gender identity, race, religion, age, sexual orientation or ability, feels valued and empowered. We celebrate different perspectives and actively encourage individuals from all backgrounds to apply.
READY TO JOIN US?
Excited to take Yazio to the next level and help people worldwide lead healthier lives? We’d love to hear from you! Please send us:
- Your CV in English
- A few lines (or a short video if you prefer) about who you are and why you want to work at Yazio
- Any additional materials that showcase your work (e.g., LinkedIn profile, GitHub)
Location: Belgrade; Lisbon
Workplace: OnSite
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We’re looking for a hands-on DevSecOps Engineer to build security into our cloud infrastructure and delivery pipelines. You’ll work closely with DevOps and development teams to establish practical security standards as our platform grows.
KEY RESPONSIBILITIES
- Own cloud security on GCP: IAM, org policies, network security, and edge protection with Cloudflare.
- Harden our GKE clusters and container supply chain.
- Build automated security checks into CI/CD (SAST, dependency, container, and IaC scanning).
- Own secrets management and least-privilege access across the platform.
- Drive vulnerability and cloud posture management to remediation.
- Build security monitoring and lead incident response.
- Actively drive SOC 2 Type 2 and PCI DSS Level 1 work: implement controls, prepare evidence.
REQUIRED QUALIFICATIONS
- 5+ years in DevSecOps, cloud security, or a security-heavy DevOps/Platform role.
- Strong production experience with GCP (AWS/Azure acceptable).
- Hands-on experience securing Kubernetes and Terraform-managed infrastructure.
- Practical knowledge of CI/CD security, cloud IAM, secrets, vulnerability management, and security monitoring.
- Ability to build security practices from scratch and get teams to adopt them.
- Strong English communication skills.
NICE TO HAVE
- Experience with Cloudflare, Datadog, Wiz, Drata, or GitHub Actions.
- Prior SOC 2 or PCI DSS audit experience.
- Background in payments, gaming, or high-load products.
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Задачи:
— Работа с хранилищами данных, архитектурой данных и моделированием данных.
— Использование Snowflake, dbt Core, Databricks.
— Работа с Apache Airflow и Azure DevOps.
— Понимание процессов ETL/ELT и интеграции данных.
— Участие в проектах миграции и модернизации платформ данных.
Требования:
— Большой опыт работы с хранилищами данных, архитектурой данных и моделированием данных.
— Отличные навыки работы с SQL.
— Практический опыт работы со Snowflake и dbt Core.
— Знание Data Vault 2.0 и Databricks.
— Опыт работы с Apache Airflow и Azure DevOps.
— Понимание процессов ETL/ELT и интеграции данных.
— Отличные навыки командной работы, коммуникации и решения проблем.
— Владение английским языком на уровне C1 и немецким на уровне B2.
Желательно:
— Знание Python для обработки данных и автоматизации.
— Опыт работы с ИИ-помощниками для написания кода (Claude Code, GitHub Copilot).
Условия:
— Удалённый формат работы.
— Оформление через ИП.
— Локация: ЕС.
Location: Санкт-Петербург
Наша команда разрабатывает новые прогрессивные инструменты разработки: среду разработки и набор AI-помощников. Мы разрабатываем именно тот инструмент, в котором работают сами разработчики. Наша цель – вывести процесс разработки ПО на новый уровень эффективности.
Если ты опытный Java разработчика, любишь решать сложные задачи и делать продукт для разработчиков - эта позиция для тебя.
Обязанности
### Обязанности:
* разработка нового и развитие существующего функционала ПО
* код-ревью
* рефакторинг/Оптимизация кода для сокращения потребляемых ресурсов, разрешение технического долга
* взаимодействие с аналитиками, тестировщиками и группой сопровождения.
Требования
### Требования:
* опыт от 5 лет разработки систем с трудозатратами не менее 1000 чел-дней
* участие в проектах с применением гибких методологий Scrum, Kanban.
* опыт командной разработки с использованием Jira, BitBucket, Jenkins
* высшее техническое образование
* опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов
* инструментальное владение AI для анализа, генерации и автоматизации.
**Технические компетенции:**
* Java Core / Java EE от 5- лет
* Spring (Core / Web / Security / AOP/Test/Boot)
* Hibernate/Jetty/Netty
* REST / OpenApi
* Swing или SWT
* Junit, Spring Test
* Jenkins, GitHub, Cradle, контейнеры.
Условия
**Мы предлагаем:**
* гибридный формат работы
* годовой бонус и ежегодный пересмотр зарплаты
* расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа
* статус аккредитованной ИТ-компании со всеми преимуществами
* гибкая скидка по ипотечному кредиту, равная 1/3 ключевой ставки Центрального банкам
* подписка Прайм с возможностью шеринга (совместного использования) на трёх близких, скидки от партнеров и сервисов группы компании, скидки от партнеров и сервисов группы компаний
* корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях
* 90 дней удаленной работы из любого региона РФ
* реферальная программа (бонус до 100 000 рублей).
Задачи:
— создавать e2e- и API-тесты в Playwright или похожем инструменте
— запускать тесты в CI
— устранять нестабильные тесты
— разрабатывать тест-планы для рискованных изменений
— составлять баг-репорты с шагами воспроизведения
— помогать разработчикам в разборе дефектов
— фиксировать ошибки с помощью записей экрана
Требования:
— от 3 лет опыта автоматизации тестирования веб-приложений
— уверенное программирование на TypeScript или Python
— опыт работы с CI-системами, например GitHub Actions
— внимательность и умение понятно описывать ошибки
Отбор включает короткую заявку, письменный этап из трёх вопросов, видеособеседование с руководителем разработки и небольшое задание с тестами для учебного приложения.
Работа удалённая, только в пределах США.
УдалённоПолная занятость, удалённая работа только в пределах США
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Systems Engineer to help support and improve the internal systems that our R&D teams use to plan, collaborate, and deliver.
As part of our R&D Business Systems team, you’ll administer Jira Cloud, provide day-to-day support for users and systems, and build automations and integrations that reduce manual work. You’ll also support platforms such as Notion, Zendesk, Slack, GitHub, and incident management systems.
You’ll own system administration, configuration changes, automations, integrations, and improvements across Jira and other internal platforms, from requirements through rollout, collaborating with teammates on design and technical review. This role is a good fit for someone with hands-on systems administration and scripting experience who enjoys solving operational problems and improving the systems that support teams across the entire organization.
This is a full-time, hybrid position based out of our Bengaluru, India office.
Technologies You’ll Use
You’ll work with Jira Cloud (including ScriptRunner, Automations, webhooks, Rich Filters, Forms, and internally developed applications), Notion, Zendesk, Slack, incident management systems, GitHub, and related operational and workflow tools.
You’ll use Groovy, Python, or similar scripting languages to create and update scripts that support integrations, automate administrative tasks, and improve existing workflows.
You’ll also leverage AI tools such as ChatGPT and Claude to assist with scripting, troubleshooting, research, and technical documentation.
You don’t need experience with every platform listed, but you should be interested in learning and supporting systems beyond Jira.
What You’ll Do
Configure and maintain Jira workflows, fields, screens, permission schemes, forms, dashboards, and automation rules, following established governance standards.
Build, test, and maintain automations and scripts that improve R&D workflows and reduce repetitive administrative work.
Help implement and troubleshoot integrations between Jira and other internal platforms using native capabilities, REST APIs, and webhooks.
Own assigned components and small improvements from requirements clarification through implementation, testing, documentation, and rollout, with guidance from teammates.
Contribute to technical designs for scoped system improvements, explain implementation tradeoffs, and participate in configuration and code reviews.
Provide day-to-day user support, investigate configuration and integration issues, and escalate complex problems with clear findings.
Administer and maintain internal platforms such as Notion, incident.io, Zendesk, and other business systems, including managing configurations, troubleshooting issues, and implementing automations, integrations, and workflow improvements.
Support system migrations, data cleanup, and tool rollouts by completing assigned work and validating results.
Maintain documentation for configurations, automations, integrations, and support procedures.
Work with Engineering, Product, Support, and Operations stakeholders to understand requests, communicate progress, and flag risks or blockers.
Support and maintain internally developed applications that extend Jira functionality, including troubleshooting issues, testing and implementing updates with guidance from teammates, and documenting changes.
Participate in the team’s operational support processes and contribute to planning and prioritization.
Skills We’re Looking For
2+ years of relevant experience in systems administration, business systems, or technical application support, including hands-on administration of Jira Cloud.
Working knowledge of Jira workflows, custom fields, screens, permission schemes, JQL, dashboards, and automation rules.
Experience building and troubleshooting workflow automations, with an understanding of how to test changes before releasing them.
Working knowledge of a scripting language such as Groovy or Python, including the ability to create, modify, test, and troubleshoot scripts to meet business requirements.
Familiarity with REST APIs, JSON, webhooks, and authentication concepts used in SaaS integrations.
Understanding of cloud-based applications, access controls, and the impact configuration changes can have on users and connected systems.
A methodical approach to troubleshooting, including gathering evidence, reproducing issues, and knowing when to ask for help.
Ability to break actionable work into tasks, follow through on commitments, and communicate progress and blockers.
Clear written and verbal communication, attention to detail, and a collaborative approach to working with technical and non-technical colleagues.
Curiosity and willingness to learn new platforms, understand the business processes they support, and incorporate feedback.
Bonus Skills
Experience with ScriptRunner, Rich Filters, and other Jira Marketplace applications.
Experience supporting Notion, Zendesk, Slack, GitHub, incident.io, or other similar tools.
Familiarity with Git, pull requests, and reviewing or testing scripts and configuration changes.
Exposure to SSO, SCIM provisioning, or SaaS user lifecycle management.
Experience assisting with system migrations, bulk updates, or data validation.
Familiarity with SQL, reporting tools, or Infrastructure-as-Code concepts such as Terraform.
#LI-HYBRID
#LI-AV1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: London, United Kingdom; Dubai, United Arab Emirates
Workplace: fully
We are hiring for this position to be based in Dubai (UAE) or Eastern Europe.
Praktika is an AI-native education company on a mission to deliver efficient, engaging language learning to billions of people worldwide. We're bridging the gap between traditional learning apps and human tutors through a fully automated tutorship experience powered by generative AI avatars.
Since launching our mobile apps in 2023, we've reached over 30 million learners and grown to over 2 million monthly active users, become one of the world's top-4 learning apps, and recently closed a $30M Series A to accelerate our roadmap. We're a fully distributed team of ~50 people across 4 continents and 15+ countries, working asynchronously to ship fast and operate at a high bar.
We're hiring a Lead DevOps Engineer to own all of Praktika's infrastructure and all access to it. This is a hands-on role with real leadership: you'll set the direction for our infrastructure, build it, run it, and keep it secure, reliable, cost-efficient and fast as we grow.
You'll work with every engineering team and with non-engineering teams too. We are rebuilding how the company works around AI, and infrastructure is where that has to be made safe.
What you'll do
Own the infrastructure end to end: design, build and run our AWS-based infrastructure, and be the owner when it fails.
Own identity and access for the whole company: cloud accounts, vendors, internal tools, onboarding and offboarding.
Own infrastructure security (IAM, networks, secrets, audit logs) and the technical part of compliance: ISO 27001, SOC 2, GDPR.
Keep costs visible and under control across clouds and AI vendors.
Run the hosting and inference infrastructure for our ML and LLM models.
Close repeated operational requests with automation and self-service, not with tickets and manual console changes.
Rebuild infrastructure processes around AI: code review, monitoring and observability, alert triage, incident investigation.
Build the place where internal tools and apps, built with AI by engineers and non-engineers, are deployed safely, reviewed and monitored. Build your own tools with AI too.
Give delivery teams golden paths (service templates, CI/CD, safe deploys, alerts) that make the standard way the easy way, without blocking teams.
What we're looking for
We're looking for outstanding engineers who thrive in a challenging environment, bring a growth mindset, and operate with a high degree of agency, devotion, and autonomy.
Required
Ownership mindset: you make decisions and finish work without supervision.
Deep hands-on AWS experience in production, including containers on ECS.
Infrastructure as code (Terraform) as your normal way of working.
A solid security foundation and a real interest in security.
You have already built working tools with AI coding agents, and you use AI in your daily work.
You have changed how other teams work without formal authority over them.
You have set a technical direction and split large projects into deliverable parts.
Ability to thrive in an async, distributed, written-first culture.
Bonus
DevSecOps experience and an understanding of how attacks work.
Hands-on work on SOC 2, ISO 27001 or GDPR.
Experience with clouds other than AWS.
Experience with infrastructure for ML / LLM inference.
Prior experience at an early-stage or high-growth consumer product company.
Our stack
AWS (containers, serverless, managed databases, CDN), Terraform, GitHub Actions, Datadog, SQL and NoSQL databases, event streaming, a data warehouse, hosted ML / LLM inference, and others.
How we work
Mission-driven: we're building the #1 language learning app and competing to win.
AI-native: AI isn't a feature; it's how we think, build, and scale.
Extreme ownership: every project has a clear owner who drives it to success.
Less meetings, more outputs: async first; meetings are a last resort.
Speed & excellence: move fast without compromising quality.
Truly all-in: impactful work, full commitment, real rewards.
Data-driven: decisions are based on evidence, not opinion.
User-obsessed: if it doesn't improve the learner experience, it doesn't matter.
What we offer
Room to grow: as you prove yourself, your scope can grow to Head of Platform (backend team).
Equity that grows with your impact (stock options).
26 days of holiday plus bank holidays (34 days per year total).
Annual company off-site (last year: Dubai).
Health and wellness benefits via SafetyWing.
Full AI toolkit access: Claude, Cursor, Codex, and other productivity tools.
$1,000 annual education and learning budget.
Fully remote, based in Dubai or Eastern Europe.
Interview Process:
Intro interview with our Head of Talent.
Technical interviews with our CTO.
Culture interview with a member of the leadership team.
Peer interview with an engineer from the team.
No take-home task. We will provide you with feedback throughout the interview process.
Location: Москва
Наша команда (70+ человек) создает технологический фундамент для внедрения GenAI в экосистему банка. Мы разрабатываем RAG-платформу, фреймворк исполнения агентов и системы обработки неструктурированного контента (документы, коммуникации). Наши сервисы оборачивают базовые LLM в готовые интерфейсы, позволяя бизнесу быстро создавать собственных агентов и GenAI-приложения.
Мы обеспечиваем полный цикл разработки (E2E): ML-инженеры и бэкенд-разработчики работают вместе над реализацией сервисов, в связке с фронтендом и дизайнерами. У нас есть собственная команда разметки для оценки качества и сбора датасетов, с помощью которых мы дообучаем доменные модели под банковские сценарии.
Масштаб задач:
Сейчас в портфеле более 200 реализованных сценариев.
В планах — реализация еще 300+ сценариев, включая создание слоя процедурной памяти для агентов, специализированных поисковых агентов и систем автоматической оценки качества GenAI (Auto-Eval).
Развитие Self-Service инструментов (песочниц с UI), где команды банка могут тестировать гипотезы перед интеграцией.
Чем предстоит заниматься
Мы ищем инженеров, которым интересно не только R&D, но и создание полноценных продуктовых систем, способных обучаться на пользовательском фидбэке и решать конкретные бизнес-задачи.
Обязанности
* развитие GenAI сервисов: Создание и улучшение RAG-систем (в т.ч. Agentic RAG), инструментов Agent Observability, сервисов обработки документов
* обучение моделей: тренировка и дообучение мультимодальных моделей на русском языке (OCR, Embeddings, Rerankers, VLM)
* MLOps и Data Management: организация и автоматизация процесса разметки данных (от сбора до контроля качества краудсорсинга)
* развитие автономных пайплайнов улучшения качества моделей с использованием LLM-as-a-Judge
* Engineering: релиз новых моделей и сервисов в продуктовые среды.
Требования
* глубокое понимание LLM: опыт работы с большими языковыми моделями, Prompt Engineering, Fine-tuning LLM/VLM
* инженерная культура: уверенное владение Python 3, знание ООП, принципов SOLID. Хорошее знание алгоритмов и структур данных.
* LLM Stack: опыт работы с LangChain, LlamaIndex или другими фреймворками для разработки агентов и мультиагентных систем (MAS)
* Vibe Coding: умение автоматизировать собственные рутинные процессы с помощью AI-инструментов
* Mindset: желание постоянно изучать новые SOTA-подходы, модели и технологии
* опыт руководства командой ML-инженеров.
**Будет плюсом**
* активный профиль на GitHub с качественным кодом
* достижения (медали) на Kaggle
* участие в Open-Source проектах, связанных с LLM/NLP.
Условия
* комфортный современный офис - м. Кутузовская
* гибридный формат работы
* ежегодный пересмотр зарплаты, годовой бонус
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера
* корпоративная пенсионная программа.
Zадачи:
— принять и развивать существующий CRM, переданный от текущих разработчиков.
— создавать новые функции и исправлять ошибки в модулях заказов, платежей, склада и отчетности CRM.
— развивать интерфейс CRM с использованием Blade и Javascript.
— разрабатывать REST API и интеграции, работать с SQL-запросами и миграциями.
— участвовать вместе с CTO в переносе CRM на новый сервер и размещении обновлений.
Требования:
— опыт развития или поддержки работающего проекта на PHP/Laravel.
— практический опыт с Mysql/Mariadb, Laravel Eloquent, REST API и Git.
— умение самостоятельно выполнять задачи по интерфейсу с использованием Blade, HTML/CSS и Javascript.
— способность проверять логи на Linux сервере и выявлять причины проблем.
— опыт работы с Docker, CI/CD и автоматизированным тестированием будет преимуществом.
Условия:
— для отклика отправьте резюме и ссылку на GitHub или портфолио.
— опишите в 2–3 предложениях проект на Laravel, в котором вы работали, и вашу роль в нем.
Работа в Ташкенте, зарплата от 700 до 1000 долларов.
Задачи:
— Разработка REST API на FastAPI для расписания, записи на тренировки, абонементов и клиентов клуба.
— Создание моделей и валидация данных с использованием Pydantic.
— Работа с таблицами в PostgreSQL через SQLAlchemy.
— Написание тестов с использованием pytest и запуск сервиса в Docker.
— Исправление багов и доработки по результатам код-ревью.
Требования:
— Базовые знания Python: функции, классы, исключения, работа со словарями и списками.
— Понимание HTTP и REST: методы, коды ответов, формат JSON.
— Базовые знания SQL: SELECT, JOIN, WHERE.
— Навыки работы с Git и опыт использования GitHub.
— Приветствуются знания FastAPI, async/await, Docker, Alembic и наличие пет-проектов.
Условия:
— Удалённая работа из России.
— Отсутствие требования опыта.
— Свободный график.
— Код-ревью и наставничество от Senior-разработчика.
— Возможность получить проект в портфолио и на GitHub.
— Договор о сотрудничестве по итогам стажировки.
Location: London, UK
We are looking for a Solutions Architect with strong architecture and technical leadership experience to guide technical conversations, review system design and codebase quality, and support roadmap planning. In this role, you will lead a squad through technical direction and mentoring without writing production code.
The Retail Platform project is focused on reviewing and shaping the technical direction of a distributed cloud based product. You will work closely with senior engineering stakeholders to support architecture decisions, assess delivery scope, and align roadmap planning with timeline constraints.
Lead technical conversations with senior engineering stakeholders
Review the existing codebase and assess its performance
Assess backlog scope against delivery dates
Shape the roadmap based on scope and timeline constraints
Review the architecture of large distributed cloud systems
Evaluate technical designs created by other team members
Lead the squad through technical direction
Mentor team members through technical guidance
Take responsibility for the squad's technical guidance
Collaborate with stakeholder contacts in daily work
Experience with architecture of large distributed cloud systems
Experience reviewing technical designs created by other contributors
Experience with code review and performance assessment of a codebase
Experience assessing backlog scope against delivery dates and supporting roadmap planning
Experience with TypeScript, Node.js, and React
Experience with AWS, including EKS, Lambda, and RDS
Experience with Kubernetes
Experience with GraphQL and REST
Experience with Terraform
Experience with Helm
Experience with GitHub Actions
Experience with Jest and Pact
Experience with DataDog or a similar observability tool
Experience with Playwright
Experience with migration from Sitecore
Cirium bonus
Location: United States
How We Build
Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk.
Our Tech Stack
Ruby on Rails
AWS
Sidekiq
MySQL
Redis
What the Role Is
Babylist's Platform team is the foundation every engineering team builds on — and this role is at the center of keeping it reliable, fast, scalable, and secure. As a Staff SRE, you'll own the infrastructure and reliability practices that support 9 million+ users and the engineers who build for them. You'll bring strong software engineering skills and experience building security into production systems, turning that experience into code, automation, and secure defaults. You'll evolve our AWS infrastructure, CI systems, and developer tooling as Babylist grows across e-commerce, registry, health, media, and mobile. You'll share the team's core SRE responsibilities and bring particular depth in security engineering, leading security improvements alongside reliability, developer experience, and platform initiatives.
Who You Are
Strong software engineering skills
— you've shipped and operated production-quality tools or services, with tests, code review, and maintainable interfaces
Experience building security into production systems
— you've personally designed, implemented, and operated controls for access, workload identity, secrets, or network isolation
Deep hands-on Terraform expertise
— you own IaC, not just contribute to it
Proven AWS experience
at scale — EKS, RDS, cloud networking, DNS, CDNs, load balancers — you know the gotchas
Experienced operating Kubernetes in production
— you've debugged the hard stuff, not just deployed the easy stuff
Comfortable designing and improving CI/CD systems
— CircleCI, GitHub Actions, or similar; you care about developer velocity, not just pipeline uptime
Strong observability instincts
— Datadog, Sentry, PagerDuty, Cronitor — you build alerting that's actionable, not noisy
Experienced with on-call and incident management
— you've run the post-mortems and actually changed things afterward
Comfortable supporting developers across local, staging, and production
— you're a resource, not a gatekeeper
You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
How You Will Make An Impact
Infrastructure ownership
— manage and evolve our AWS environment using Terraform, keeping EKS clusters, databases, and core services current, performant, and secure
Software and automation
— ship tested tools and services with runbooks and self-service workflows that other engineers can adopt and operate
Secure infrastructure defaults
— build versioned, tested Terraform modules for least-privilege access, secrets, and workload isolation, with automated checks for configuration drift
CI/CD reliability
— keep delivery fast and dependable across Engineering, integrating dependency and container scanning, secret detection, and short-lived deployment credentials
Developer support
— be the person engineers turn to when environments break; unblock them fast across local, staging, and production
Monitoring & alerting standards
— define service-level objectives (SLOs) and actionable alerting with engineering teams, using incident trends to prioritize reliability improvements
Recovery readiness
— validate backups, restore procedures, and failover paths through regular recovery tests
Incident response
— lead or support incident response, drive post-incident reviews, and close the loop so the same thing doesn't happen twice
Platform strategy
— shape our long-term infrastructure roadmap and lead cross-team initiatives from design through rollout, adoption, and ongoing operation, mentoring engineers along the way
Why This Role
Platform is the team every engineering team depends on — your work has outsized leverage across the entire product org, not just one area
The infrastructure is solid and actively evolving — you'll shape how reliability and security are built into the platform as it grows
This is a staff-level role with real cross-team visibility — you'll influence how Babylist engineers build and ship, not just keep the lights on
You'll work on systems that support millions of families at a high-stakes life moment — the scale is real and the product context makes the reliability work matter
About Compensation
We use a market-based approach to compensation. The starting salary range for this role is:
$226,673 to $271,991 + target 20% annual bonus and competitive equity
Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Why You Will Love Working At Babylist
Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
We build products that positively impact millions of people's lives
AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance-based advancement
Benefits
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
Location: Romania
Full Stack Developer (JavaScript)
Are you an experienced Full-Stack JavaScript Developer who enjoys crafting clean, efficient, and scalable code? Excited by the opportunity to make a meaningful impact in the fast-evolving software escrow industry?
Codekeeper is looking for a talented Full-Stack Engineer with deep JavaScript expertise to join our growing team. If you are passionate about building high-quality solutions and want to help shape the future of software escrow, we’d love to hear from you.
Apply now and be part of something impactful.
About the Company
Codekeeper was founded by tech industry professionals to revolutionize software escrow for the cloud era. We offer state-of-the-art disaster recovery solutions that mitigate third-party risks in business operations. As a remote-first company with a central office in The Hague, we prioritize a healthy, resilient organization to support the development of our robust app.
What Else Can You Expect from Us?
A dynamic, enthusiastic, and fun team
Opportunities for growth within a startup environment
Regular team activities and get-togethers
A comprehensive onboarding process with a dedicated ramp-up period and time to learn
A culture that values open communication, feedback, and collaboration
We believe in nurturing our app, teams, and organization with a focus on long-term success. We're dedicated to building a healthy, resilient company that empowers every team, from design to support and operations.
About You
You're a driven, "getting things done" kind of person who's eager to tackle new challenges and make a meaningful impact in the software escrow industry.
Skills & Experience
Degree in Computer Science
5+ years of hands-on experience in JavaScript, TypeScript, HTML5, CSS3, React/Context API
3+ years of experience with Next.js (App Router), GraphQL/Apollo
Proficiency with TailwindCSS
Proficiency in version control (Git, GitHub/GitLab)
Testing experience with Playwright, Cypress, or Jest + React Testing Library
Experience with relational databases like PostgreSQL and MySQL, as well as ORMs such as Prisma or Drizzle
Familiarity with authentication solutions (Cognito, Auth0, NextAuth.js)
Excellent communication skills, a team player, and service-oriented mindset
A strong passion for software development
Nice to Have
Knowledge of serverless functions & edge computing (Vercel, AWS Lambda)
Understanding of CI/CD pipelines and DevOps (GitHub Actions, Vercel, Netlify)
Experience with data visualization frameworks (e.g., Chart.js, Google Charts)
Familiarity with AWS technologies
Additional Info
Job Location:
Remote (#LI-Remote)
Join us to shape the future of software escrow!
How to Apply
To apply, use the Apply button on this listing. In your application, tell us how you would like to fill this position. There are no right answers or expectations. Show us your role in our company’s future and our role in yours, address some of the work we do, and introduce yourself as a colleague.
Please note:
Applications and follow-ups sent through any other channel, such as our customer website chat, support email or direct messages to team members, won’t be considered. Need an accessibility adjustment to apply? Visit
Our Careers Page
for how to reach us.
Location: Los Angeles, USA
Machine Learning Engineers at Riot combine expertise in data processing, automation, machine learning, artificial intelligence, and experimentation to develop data-powered products that improve the player experience, protect competitive integrity, and ensure fair play.
As a
Machine Learning Engineering Intern
, you’ll work with experienced engineers, data scientists, and game or product partners to explore how data and machine learning can support Riot’s games, from shaping engaging player experiences to safeguarding fair and competitive play. You’ll gain exposure to the full ML development cycle, including preparing datasets, engineering features, prototyping models, evaluating results, and communicating findings. You’ll be supported by your team as you learn to build reliable, well-documented solutions.
Potential Responsibilities:
Collaborate with machine learning engineers, data scientists, software engineers, and product partners on player- or developer-focused projects.
Prepare, clean, and explore datasets for machine learning and data-powered applications.
Implement feature engineering, modeling, and evaluation approaches under the guidance of experienced team members.
Build prototypes, analyses, visualizations, or internal tools that help teams understand player experiences, product systems, or adversarial behavior.
Apply testing, documentation, and reproducibility practices to code and experiments.
Participate in code reviews, technical discussions, team rituals, and project planning.
Communicate technical findings and tradeoffs to both technical and non-technical collaborators.
Required Qualifications:
Graduating in the 2028 calendar year with an MS or PhD.
Currently enrolled in a Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or related quantitative degree program.
Available to work full-time hours for the 12-week internship duration.
Comfortable programming in Python.
Understanding of machine learning fundamentals, statistics, and data structures and algorithms.
Experience working with data using tools such as Python libraries, SQL, or notebooks.
Minimum GPA of 2.5.
Desired Qualifications:
Experience building or evaluating machine learning models through coursework, research, internships, or personal projects.
Familiarity with one or more machine learning frameworks or libraries, such as PyTorch, TensorFlow, scikit-learn, or Spark MLlib.
Familiarity with SQL and relational databases.
Experience with data visualization, experiment design, model evaluation, or statistical analysis.
Familiarity with software development practices such as Git, unit testing, functional testing, or continuous integration and deployment.
Experience working with cloud platforms, distributed data systems, or model deployment tools.
Portfolio, website, GitHub, research publication, or other collection of original work.
Experience working on a video game or related project, particularly in Unity or Unreal Engine.
An interest in applying machine learning to either enhancing player experiences or to ensuring competitive integrity through cheat detection.
Work Authorization
Candidates must be legally authorized to work in the United States for the duration of the program.
This position is not eligible for visa sponsorship. We do not sponsor visas for this position or internship conversions.
For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We’ll consider your studies and experience, as well as your personal relationship with games. If you embody player empathy and care about players’ experiences, this could be the role for you!
Applications close January 4th, 2027
Our Perks
Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Recruiting team also invites you to intern-focused events so you can connect with your fellow interns and Rioters and make the most of your experience.
Riot Games fosters a player and workplace experience that values teamwork embodied by the
Summoner's Code
and
Community Code
. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of
thriving together
and our ongoing work to build the
most inclusive company in Gaming
.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
(Remote Only)
The hourly rate for this internship is USD $80.77
Location: São Paulo ou Fortaleza - Brasil
Por que fazer parte da Exadel?
Somos uma empresa global de tecnologia orientada por inteligência artificial (AI-first), com mais de 25 anos de liderança em engenharia de software, mais de 2.000 profissionais e mais de 500 projetos ativos que impulsionam clientes da Fortune 500, incluindo Microsoft, Google, HBO e Starbucks. De plataformas de IA a grandes projetos de transformação digital, desenvolvemos em parceria com líderes de mercado soluções que moldam o futuro.
O que move tudo isso? Nossas pessoas — ambiciosas, colaborativas e em constante aprendizado.
O que você fará
Auxiliar no desenvolvimento, manutenção e evolução de aplicações de software.
Desenvolver, testar, depurar e manter códigos com orientação de desenvolvedores mais experientes.
Apoiar a implementação de novas funcionalidades e melhorias técnicas.
Trabalhar com bancos de dados relacionais e desenvolver consultas SQL.
Participar de revisões de código, discussões técnicas e atividades colaborativas em equipe.
Utilizar ferramentas de controle de versão, como Git e GitHub.
Seguir padrões de desenvolvimento, boas práticas de programação, documentação e processos estabelecidos.
Colaborar com diferentes profissionais da equipe de Engenharia de Software.
Participar de treinamentos, mentorias e atividades práticas para aprimorar continuamente seus conhecimentos técnicos.
Demonstrar interesse em aprender novas tecnologias, ferramentas e metodologias de desenvolvimento.
O que você traz
Conhecimento básico em pelo menos uma linguagem de programação, preferencialmente Java ou Python.
Familiaridade com JavaScript e conceitos fundamentais de desenvolvimento web.
Conhecimento básico de bancos de dados relacionais e linguagem SQL, preferencialmente MySQL.
Familiaridade com ferramentas de controle de versão, como Git e GitHub.
Compreensão dos fundamentos de programação, lógica de programação e orientação a objetos.
Interesse genuíno em desenvolvimento de software e aprendizado técnico contínuo.
Capacidade de compreender problemas e buscar soluções utilizando raciocínio lógico.
Ensino superior em andamento ou concluído em Ciência da Computação, Análise e Desenvolvimento de Sistemas, Engenharia de Software ou áreas relacionadas.
Diferenciais
Participação em projetos acadêmicos, pessoais ou profissionais envolvendo desenvolvimento de software.
Conhecimentos adicionais em Java, Python, JavaScript ou outras linguagens de programação.
Familiaridade com ferramentas e metodologias utilizadas no desenvolvimento de software.
Conhecimento intermediário de inglês ou disposição para desenvolver a comunicação no idioma.
Participação em cursos, bootcamps, programas de formação ou iniciativas de capacitação em tecnologia.
Nível de inglês
Intermediário
Informações Legais e de Contratação
A Exadel tem orgulho de ser uma empregadora que preza pela igualdade de oportunidades (Equal Opportunity Employer), comprometida com a inclusão de minorias, identidades de gênero, orientações sexuais, pessoas com deficiência, idades e muito mais.
Adaptações estão disponíveis para permitir que pessoas com deficiência desempenhem as funções essenciais do cargo.
Atenção: esta descrição de vaga não é exaustiva. Atribuições e responsabilidades podem evoluir de acordo com as necessidades do negócio.
Detalhes sobre remuneração são compartilhados com as pessoas candidatas no início do processo de recrutamento.
A proposta de contratação só é vinculativa após a assinatura do contrato.
Seus Benefícios na Exadel
Os benefícios da Exadel variam de acordo com a localização e o tipo de contrato. A equipe de recrutamento passará todos os detalhes.
Projetos internacionais
Flexibilidade presencial, híbrida ou remota
Plano de saúde / assistência médica
Programa de reconhecimento
Aprendizado contínuo e reembolso de cursos
Programa de bem-estar
Eventos de equipe e benefícios locais
Auxílio / incentivo a atividades esportivas
Bônus por indicação
Equipamentos de primeira linha
Cultura Exadel
Lideramos com confiança, respeito e propósito. Acreditamos no diálogo aberto, na liberdade criativa e em mentorias que ajudam você a crescer, liderar e fazer uma diferença real. Nossa cultura é um espaço onde ideias são debatidas, vozes são ouvidas e o seu impacto realmente importa.
Location: United States
What the Role Is
We’re hiring a
Staff Software Engineer
who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce.
This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience.
If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on.
What You'll Own
A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team.
A few examples of initiatives you’d drive on the Search team:
Build search in-house.
Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below.
Define what a good result is.
Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect.
Unify search across everything we show.
One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do.
Decide how search and recommendations fit together.
Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models.
Make search conversational.
Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product.
Like every Staff Engineer here, you will:
Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones
Who You Are
You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck.
On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring:
Hands-on search experience:
building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow.
Experience evaluating search quality:
offline and online, including relevance judgments and A/B tests.
A focus on the user:
you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue.
Comfort building from zero:
you can define the problem, design the system and own it end to end.
You measure yourself by impact:
a customer outcome, or a system a dozen teams come to depend on.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things to Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
УдалённоWe're looking for someone who can overlap with 11:00–16:00 UTC — to keep collaboration smooth across time zones; Remote - EMEA
УдалённоBerlin; This role is 100% remote and open to candidates based in Germany, Spain, Portugal, or the U.K
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