Location: Buenos Aires, Argentina; Medellín, Colombia; Bangalore, India; Guadalajara, Mexico; Lahore, Pakistan
Workplace: fully
We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’re looking for a strong Backend Django Engineer who loves clean data models, well-designed APIs, and clever algorithms.
You’ll own core backend features end-to-end: from modeling the data to implementing the logic and exposing it through fast, reliable services that ship to users quickly, working with a small distributed team across several countries.
💰
$100 bonus
: After successfully completing the assessment. To receive the assessment,
please submit your resume to this job application. If your resume is approved, you'll receive the
assessment afterwards.
What You’ll Do
Design and implement
backend services
and APIs
using
Python
+ Django
(and DRF or similar).
Model and evolve our domain in the database with
clean, well-structured schema
s and relationships.
Implement
algorithmic/AI logic
in the backend (e.g., scoring, ranking, routing, decision rules).
Write
pragmatic, production-ready code
that’s easy to reason about and iterate on.
Optimize for
correctness and performance
: efficient queries, smart indexing, and lean responses.
Work with the team to turn product ideas into
concrete technical designs and endpoints.
Help shape how we build things: patterns, conventions, and how we ship and iterate as we grow.
What We’re Looking For
Strong experience building backend applications with
Python + Django
.
Solid understanding of
relational data modeling
and
SQL
(we use PostgreSQL).
Comfortable designing and building
RESTful APIs
(bonus if you’ve used DRF or similar
frameworks).
Experience working on
non-trivial business logic or algorithms
(e.g., decision flows,
scoring rules, optimization logic).
Good instincts around
performance
: understanding query behavior, avoiding obvious
pitfalls, and using caching when it counts.
A
startup mindset
: comfortable with ambiguity, moving fast, and iterating based on real-
world feedback.
Ability to work
independently in a remote environment
and communicate clearly.
Bonus Points For
Experience in
startups, side projects, or hackathons
where you’ve had to ship scrappy solutions fast.
Background in
algorithms, optimization, or data-heavy systems.
Experience with
Google Cloud Platform (GCP)
in production.
Familiarity with
Redis
(caching, queues) and
PostgreSQL
at some scale.
Exposure to
containers and orchestration
(Docker, Kubernetes) and/or serverless on GCP.
This role is a
central piece of our backend roadmap
, and we’re aiming to fill it quickly once we meet the right person. If it resonates with you,
go ahead and apply now.
Send us your resume to start the assessment process (and get a chance at the $100 bonus).
Задачи:
— Улучшение MCP-сервера: расширение функциональности, добавление инструментов для поиска и получения детальной информации о компонентах (пропсы, API, примеры) для поддержки AI-ассистентов.
— Разработка аналога Context7 для Яндекс 360: создание системы автоматической индексации и предоставления документации по внутренним пакетам Яндекс 360 в формате, оптимизированном для AI, с использованием MCP/API.
— Создание системы управления правилами и промптами для AI-ассистентов: разработка централизованного хранилища версионированных промптов и правил поведения AI-ассистентов с возможностью наследования и автоматической подстановки в контекст.
— Генерация AI-дружественной документации: создание CI/CD-пайплайнов и скриптов для автоматической генерации документации из исходного кода, включающей компактные сигнатуры, метаданные и примеры, с использованием MCP-серверов и системы внутреннего Context7.
Требования:
— Хорошее знание TypeScript.
— Опыт работы с AI-код-ассистентами.
— Ежедневное использование Cursor, Claude Code, GitHub Copilot и других AI-ассистентов в реальных проектах.
— Понимание работы AI-агентов и правильного использования окна контекста.
— Умение определять недостаток контекста у агента и способы его исправления.
— Способность объяснить разницу между хорошим и плохим промптом на примерах.
Будет плюсом:
— Опыт разработки MCP-серверов.
— Опыт работы с Figma API или другими инструментами дизайна.
— Понимание CI/CD-процессов и опыт настройки автоматизации.
— Знание архитектуры дизайн-систем и UI-библиотек (prop API, tokens, theming).
About the Role
We are looking for a Staff Compensation & Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics. In this role, you will lead the architecture, modeling, and execution of our global compensation programs while leveraging modern AI platforms and scalable data pipelines. As a Staff level technical authority, you will drive business-critical compensation initiatives—from merit cycles and pay modeling to global equity strategy. You will partner with Finance, Legal, and Stock Administration on equity program design and governance, collaborate closely with Systems Engineering on Workday Compensation design and testing, utilize Carta for equity analytics, and leverage enterprise Generative AI platforms (Claude, ChatGPT) to accelerate data synthesis, narrative reporting, and predictive analytics. This is a full-time remote position based in Costa Rica.
What You’ll Do
Strategic Compensation Analytics & AI-Assisted Modeling
— Architect Compensation Models: Build and maintain complex models for salary band creation, market pricing, geographic differentials, and merit/promotion budget allocation using quantitative techniques and advanced spreadsheet/coding frameworks.
— AI-Augmented Data Analytics: Leverage enterprise AI platforms (e.g., Claude, ChatGPT) to conduct exploratory analysis on large workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate repetitive data transformation workflows.
— Executive & Incentive Pay: Partner with leadership to model executive total compensation, short-term incentive (STI) performance metrics, and long-term incentive (LTI) grant strategies, utilizing AI tools to generate executive-level narrative summaries and scenario analyses.
Strategic Equity Strategy & Global Program Design
— Global Equity Design & Modeling: Partner with stakeholders to design and model strategic global equity frameworks, including refresh plan design, grant guidelines, vesting schedules, and budget allocations.
— Stock Administration Partnership: Work in tandem with Stock Administration to establish seamless workflows for equity grant approvals, board consent materials, vest schedules, and data reconciliation between equity systems and core HRIS.
— Equity Systems & Analytics (Carta): Utilize Carta and internal analytics tools to model wealth creation scenarios and executive equity usage to inform strategic compensation decisions.
Workday Partnership & Data Infrastructure
— Workday Compensation Design & Rollouts: Partner closely with Systems Engineering to co-design, test, administer, and execute Workday Compensation and Advanced Compensation workflows, eligibility rules, and global merit cycle rollouts.
— Data Integration & Pipeline Development: Collaborate with Systems Engineering to ensure seamless data flows between Workday, payroll systems, external survey management platforms, and analytical databases.
— Custom Reporting & BI: Design, build, and audit complex Workday custom reports, matrix reports, and calculated fields to deliver real-time total rewards insights to business leaders.
— Use BigQuery for querying, analyzing, and transforming large-scale datasets.
Enablement, Change Management & Training
— Program Enablement & Change Management: Apply structured change management principles to drive adoption of total rewards initiatives, merit updates, pay transparency changes, and compensation program rollouts.
— Communications & Collateral Creation: Develop comprehensive, clear, and engaging communications materials—including manager guidebooks, FAQ docs, slide decks, and video walk-throughs—tailored to various audiences.
— Stakeholder Training: Design and facilitate targeted training sessions for managers, Talent Acquisition (TA), HR Business Partners (HRBPs), and employees to build compensation and equity literacy.
Skills We’re Looking for
Experience
— 6+ years of progressive experience in compensation analysis, equity strategy, or People Analytics, with demonstrable mastery at a senior/principal individual contributor level.
— Proven track record of designing and modeling global compensation and equity programs in partnership with Finance in a fast-paced or scaling technology environment.
— Demonstrated experience with change management and driving enablement programs, including producing training collateral and leading educational workshops for cross-functional teams.
Technical & System Proficiency
— Workday Compensation: Hands-on experience working directly with Workday Core Compensation and Advanced Compensation modules is required.
— Carta & Equity Management: Hands-on experience or strong familiarity with Carta for cap table analytics, grant administration alignment, and LTI modeling is strongly preferred.
— AI Platforms & Prompt Engineering: Experience applying Large Language Model (LLM) tools such as Claude, ChatGPT, or Microsoft Copilot to data analysis, code generation (SQL/Python/Excel formulas), or report generation is strongly preferred.
— Advanced Analytics & BI: Advanced proficiency in Excel, Google Suite (VBA/macros, dynamic arrays, complex formulas) is required.
— Experience with BI and BigQuery tools for data modeling is a strong plus.
Core Competencies
— Cross-Functional & Executive Alignment: Exceptional ability to build strong cross-functional partnerships across Finance, Legal, Stock Admin, and Systems Engineering to deliver complex total rewards solutions.
— Quantitative Mastery: Deep familiarity with statistical techniques (e.g., regression analysis, distribution metrics) applied to compensation and equity datasets.
— Business & Legal Acumen: Solid understanding of core compensation and equity design concepts.
Preferred Education & Certifications
— Bachelor’s or Master’s degree in Data Analytics, Finance, Human Resources, or a related field.
— CCP (Certified Compensation Professional) is a plus.
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 offering personalized care and resources such as therapy, coaching, and mindfulness exercises for employees and dependents.
This is a full-time remote position based in Costa Rica.
Задачи:
— Активное участие в разработке микросервисов на Python
— Участие в проработке технических требований, архитектуры и подходов к решению
— Участие в управлении бэклогом команды, приоритезация и контроль выполнения задач
— People-management: участие в найме, развитии и т.д.
Требования:
— Опыт работы в роли team lead/проведение code review – не менее 1 года
— Опыт работы с ИИ моделями и их внедрением
— 3 года коммерческой backend-разработки на Python
— Понимание способов интеграций IT-систем (шины, очереди, API)
— Практический опыт с Kubernetes, Redis, OpenSearch
— Опыт работы с реляционными базами данных, уверенные знания SQL
— Понимание принципов CI/CD
— Понимание микросервисной архитектуры
— Знания в области BigData (Hadoop, Spark) будет плюсом
— Знание планировщиков процессов (AirFlow)
— Опыт работы в банковской сфере
— Понимание гибких методологий разработки (Agile)
— Знание основных инструментов управления разработкой (например: Jira, Confluence)
— Знания и опыт в machine learning
— Опыт управления IT проектами, включая разработку и внедрение ML моделей в продакшн
— Опыт разработки ML моделей в роли data scientist, data engineer, ML Ops
Условия:
— Полная занятость
— Оформление по трудовому договору
— График работы 5/2
— Удалённый формат работы
Требования и квалификации:
— 3+ года профессионального опыта разработки программного обеспечения.
— Опыт работы с AI-инструментами для кодирования, такими как Cursor, GitHub Copilot, Claude Code или аналогичными.
— Сильные навыки чтения кода, отладки и решения проблем.
— Способность оценивать сессии кодирования с помощью AI и проверять корректность кода.
— Опыт обзора рабочих процессов разработки и выявления проблем.
— Хорошие письменные коммуникативные навыки.
— Требование к местоположению: Соединённые Штаты.
Важно для кандидатов:
— Подать заявку с обновлённым резюме.
— Пройти AI-интервью как можно скорее.
— Подчеркнуть опыт разработки ПО и знание AI-инструментов для кодирования.
— Следовать всем инструкциям по подаче заявки и выполнить необходимые шаги.
— Регулярно проверять электронную почту для получения обновлений.
Примечание: Отбор зависит от опыта, результатов интервью и требований проекта. Подача заявки не гарантирует выбор.
Задачи:
— Эксплуатация и развитие существующей инфраструктуры;
— Построение и поддержание актуальной сетевой карты инфраструктуры в AWS;
— Развитие и совершенствование системы резервного копирования критичной инфраструктуры с использованием удалённого Proxmox Backup Server;
— Участие в разработке и дальнейшем развитии Disaster Recovery Plan;
— Участие в подготовке и реализации перехода на self-managed Kubernetes;
— Развитие и поддержка системы мониторинга на базе Prometheus и Grafana;
— Автоматизация рутинных и повторяющихся операций;
— Работа с инфраструктурой, управляемой с использованием Terraform (Infrastructure as Code);
— Поддержание актуальной технической документации, инфраструктурных схем, runbooks и инструкций по восстановлению.
Требования:
— Хорошее знание Linux;
— Уверенное понимание основ компьютерных сетей;
— Практический опыт работы с Docker;
— Опыт работы хотя бы с одним публичным облаком (AWS, GCP, Azure и др.);
— Практический опыт организации резервного копирования и восстановления данных;
— Базовый практический опыт работы с Kubernetes;
— Понимание Terraform и принципов Infrastructure as Code (IaC);
— Знание Bash и опыт автоматизации рутинных операций;
— Понимание Git и основных принципов CI/CD;
— Умение диагностировать и устранять инфраструктурные проблемы.
Будет плюсом:
— Опыт работы с Proxmox/PBS, observability и Disaster Recovery;
— Опыт эксплуатации self-managed Kubernetes;
— Опыт использования AI: понимание и проверка предложенных решений перед применением в production.
Условия:
— Уютный дизайнерский офис в пешей доступности от метро Арбатская или Кропоткинская или удаленный формат работы на выбор;
— Вкуснейший кофе, чай, фрукты, овощи, снэки и сладости;
— Компенсация расходов на спорт, английский язык и другие профессиональные курсы;
— Подарки на День Рождения, Свадьбу, рождение ребенка;
— Реферальная система — бонус за приведенного сотрудника;
— Возможность посещения конференций, вебинаров и других мероприятий для повышения профессиональных навыков;
— Работа без бюрократии и ненужных ритуалов.
Процесс отбора:
— HR интервью;
— Техническое собеседование;
— Оффер.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $700M 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.
WHAT YOU'LL DO
- Run the full payroll cycle for the TOO: salaries, bonuses, vacation pay, sick leave, severance, per diems
- Calculate and control IPN (individual income tax), OPV and OPVR (pension contributions), SO (social contributions), VOSMS and OOSMS (medical insurance), and social tax; apply statutory deductions
- Prepare and file Form 200.00, reconcile against tax authority records
- Know how to implement Astana Hub preferences
- Dealing with non-resindents and taxation
- Working with services under Civil Law contract (ГПХ)
- Close payroll monthly: accruals, vacation provisions, GL reconciliation, data prep for management reporting
- Calculation of unused vacation reserves
- Work with bonuses, benefits and other reimbursments
- Work with travel expenses and advance reports
- Allocate payroll costs by department and project, and answer finance team queries
- Support audits and tax inspections on anything payroll-related
- Answer employee questions on calculations, deductions, and certificates
WHAT WE'RE LOOKING FOR
- 3+ years specifically in payroll (not general accounting that happened to include payroll)
- Solid command of the Kazakhstan Labour Code and Tax Code as they apply to payroll, including current rates and thresholds
- Track record of filing Form 200.00 cleanly — no corrections, no penalties
- 1C: ZUP / 1C: Accounting for Kazakhstan, at a level where you can configure earning types yourself
- Attention to detail and willingness to own the number that lands in someone's account
- Fluent Russian and English
NICE TO HAVE
- Experience with payroll for a foreign entity (Ltd / LLC) and contractors on invoices
- Understanding of IFRS on employee benefits
- Payroll automation or system migration experience
THE DEAL
- Competitive salary in USD.
- On-site role in Almaty office.
- Full-time position.
Команда «ИИ для сотрудников» отвечает за создание AI-инструментов для сотрудников компании: определение приоритетов, разработка решений и внедрение.
Задачи:
— Разрабатывать платформу для создания внутренних ассистентов с использованием современных подходов.
— Обеспечивать доступ сотрудников к актуальным возможностям LLM — интеграция новых моделей, MCP и API.
— Анализировать качество генеративных моделей, выявлять слабые места и предлагать способы их улучшения.
— Следить за best practices и open source-проектами в области LLM и интеграций.
— Разворачивать и поддерживать сервисы в Kubernetes: деплой, конфигурация, настройка мониторинга и алёртов.
— Проводить code review и архитектурные ревью, вносить предложения по оптимизации и развитию.
Требования:
— Опыт разработки от 5 лет.
— Активное использование LLM, понимание их возможностей и ограничений.
— Опыт деплоя сервисов в продакшн и обеспечение их стабильной работы.
— Приветствуется понимание архитектуры AI-агентов (оркестрация, memory, tools).
— Опыт работы с фреймворками для LLM-пайплайнов: LangChain, LlamaIndex, Haystack.
Условия:
— Аккредитованная IT‑компания.
— Возможна удалённая работа по РФ.
— При желании гибридный формат (офисы в Москве, Санкт-Петербурге, Новосибирске).
— Нет дресс‑кода и строгого графика.
— Участие в конференциях, ДМС и забота о здоровье сотрудников.
Задачи:
— Проводить технические аудиты C# / Unity разработчиков.
— Проверять знания C# и Unity 3D.
— Оценивать понимание архитектуры игровых проектов и принципов построения игровых систем.
— Проверять знания Git / GitHub.
— Оценивать понимание P2P-соединений и сетевого взаимодействия.
— Анализировать выполнение технических заданий и код кандидатов.
— Проводить дополнительные вопросы по ответам и решениям кандидата, чтобы определить глубину его знаний.
— Выявлять сильные и слабые стороны разработчика.
— Определять реальный технический уровень кандидата: Junior / Middle / Middle+ и т.д.
— Формировать итоговое техническое заключение и рекомендацию по кандидату.
— Взаимодействовать с HR и руководством при принятии решений по техническому найму.
Требования:
— Уверенное знание C# и Unity 3D.
— Хорошее понимание архитектуры игровых проектов.
— Понимание принципов ООП, SOLID и построения игровых систем.
— Знание Git / GitHub.
— Умение самостоятельно разбирать чужой код и находить технические проблемы.
— Способность отличать поверхностное знание от реального понимания технологий.
— Умение задавать правильные дополнительные вопросы и углубляться в ответы кандидата.
— Способность объяснять технические выводы простым и понятным языком.
Будет большим плюсом:
— Опыт проведения технических собеседований.
— Опыт проведения code review.
— Опыт работы в роли Senior Developer / Tech Lead.
— Опыт формирования технических команд.
— Опыт оценки разработчиков при найме.
Условия:
— Полностью удалённый формат.
— Гибкий график.
— Работа по мере необходимости проведения технических аудитов.
— Возможность влиять на формирование технического состава текущих и будущих GameDev-проектов студии.
Задачи:
— Проводить технические аудиты C# / Unity разработчиков.
— Проверять знания C# и Unity 3D.
— Оценивать понимание архитектуры игровых проектов и принципов построения игровых систем.
— Проверять знания Git / GitHub.
— Оценивать понимание P2P-соединений и сетевого взаимодействия.
— Анализировать выполнение технических заданий и код кандидатов.
— Проводить дополнительные вопросы по ответам и решениям кандидата, чтобы определить глубину его знаний.
— Выявлять сильные и слабые стороны разработчика.
— Определять реальный технический уровень кандидата: Junior / Middle / Middle+ и т.д.
— Формировать итоговое техническое заключение и рекомендацию по кандидату.
— Взаимодействовать с HR и руководством при принятии решений по техническому найму.
Требования:
— Уверенное знание C# и Unity 3D.
— Хорошее понимание архитектуры игровых проектов.
— Понимание принципов ООП, SOLID и построения игровых систем.
— Знание Git / GitHub.
— Умение самостоятельно разбирать чужой код и находить технические проблемы.
— Способность отличать поверхностное знание от реального понимания технологий.
— Умение задавать правильные дополнительные вопросы и углубляться в ответы кандидата.
— Способность объяснять технические выводы простым и понятным языком.
Будет большим плюсом:
— Опыт проведения технических собеседований.
— Опыт проведения code review.
— Опыт работы в роли Senior Developer / Tech Lead.
— Опыт формирования технических команд.
— Опыт оценки разработчиков при найме.
Условия:
— Полностью удалённый формат.
— Гибкий график.
— Работа по мере необходимости проведения технических аудитов.
— Возможность влиять на формирование технического состава текущих и будущих GameDev-проектов студии.
Задачи:
— Design and implement high-quality native mobile SDKs that enable developers to integrate embedded wallet functionality into their applications, with a strong focus on API ergonomics, performance, and reliability
— Own SDK features end-to-end: from API design and architecture, through implementation and testing, to release, versioning, and developer documentation
— Build and maintain secure, reliable SDK components for wallet operations, including cryptographic operations, blockchain interactions, and security-sensitive flows
— Define and evolve the SDK architecture to support long-term maintainability, backward compatibility, and adoption across diverse customer applications
— Build sample applications and demos that showcase SDK capabilities and serve as integration references for customers
— Create clear, comprehensive SDK documentation and integration guides
— Work with developer relations and support teams to address customer integration challenges
— Raise the bar for quality and operational excellence by establishing best practices around testing, observability, releases, and code health
Требования:
— 5+ years of software engineering experience, with deep focus on mobile development and shipping production-grade SDKs
— Demonstrated track record of building and shipping high-quality code, with work you can point to and discuss in depth
— Strong hands-on experience with iOS (Swift) and/or Android (Kotlin); experience with React Native or other cross-platform frameworks
— Experience building mobile SDKs or shared libraries, including API design, versioning, packaging, and long-term maintenance across platforms
— Experience with blockchain-enabled mobile systems, including wallet flows, signing, and on-chain interactions
— Experience working on security-sensitive mobile software, such as key management, secure storage, cryptography, or financial products
— Strong grasp of mobile engineering best practices, including CI/CD, automated testing, release management, and observability
Условия:
— Remote role in a distributed team; preference for candidates in the Americas time zone
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
About the team
Engineering the future of customer support — at global scale
🌍
We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction.
As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them.
Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale.
About the role
We’re now looking for a
Senior
Backend Engineer (Golang)
to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day.
What you'll be doing
Build and maintain high-throughput backend services using
Go
.
Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe.
Design systems that are
scalable
,
resilient
, and easy to maintain.
Lead and contribute to architectural discussions and technical decision-making.
Write well-tested code and help the team maintain high code quality standards.
Requirements
7+ years
of professional software engineering experience, with a proven track record of building and scaling complex systems.
2+ years of production experience in Golang
, with the ability to mentor others and drive best practices across the team.
Strong hands-on experience with both
SQL and NoSQL databases
— especially Cassandra.
Solid understanding of designing and operating
low-latency, high-throughput distributed systems
.
Previous
on-call experience
, with a pragmatic approach to reliability and incident management.
Nice to have
Background in
Node.js
or other backend languages.
Familiarity with
cloud infrastructure
(AWS, GCP) and event-driven architectures.
Why Deliveroo
Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.
We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.
Workplace & Benefits
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.
Diversity
At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Remote
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
About this role:
Are you an experienced engineer at the stage of your career where, above all, you want to do good?
This role is about using engineering to support fundraising: delighting our donors; helping our fundraisers; getting donations recorded and safely started on their journey to our recipients; telling donors and the public about what happens to their gifts. A bit of website development. A lot of plumbing.
The good news about
this
position:
You will make a difference to people in extreme poverty
You will work independently, with few constraints
You will work directly with lovely people from across our fundraising teams
The trade-offs:
There is only one other fundraising engineer and mostly you will be working on your own
Our technology is a mixture of boring (Laravel, PHP, plain JS, HTML and CSS) and legacy (Salesforce, Wordpress, wrangling CSV files sent by our partners)
We're growing, but this is a role for someone who values depth and impact over a fast title ladder.
The maybe good maybe bad news about the role depending on who you are:
We are all in on AI where it allows us to get more $ to people in extreme poverty
If you want a role where you will be part of a bigger engineering team, working in Python or working on more complex tasks, then please take a look at our
other engineering roles
.
This role is right for you if:
You care about our mission
You agree with
our values
You have the right to work in one of the countries we're able to hire from (you can check the current list
here
).
You're happy working remotely, and taking meetings across East Africa Time and US Eastern Time.
You are happy to travel to meet your colleagues in the US, Europe and Africa a few weeks a year
You are fluent in English
You have 4+ years of engineering experience
You're happy working autonomously: defining what needs doing, doing it, getting it tested and launched, fixing the bugs, and hustling to make progress every day.
You're comfortable being on-call on peak donation days (Giving Tuesday and the last weeks of the year), including owning an incident: working out what matters, communicating with fundraisers, and debugging on legacy and others' code, sometimes when no other engineers are available.
You are happy with our boring and legacy technologies (Laravel, PHP, plain JS, HTML, CSS, Salesforce, Wordpress, SQL, wrangling csv files etc). You don’t have to be experienced in all of them, but you do have to be genuinely happy to use them (many engineers are not…).
You are happy and skilled at working directly with non-engineers on messy, poorly defined, rapidly changing, sometimes boring tasks
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy
here
.
Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.
United States
Base Salary:
$181,130
Bonus at Target Performance:
15% (~$27,170, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$31,789 in 2025)
Estimated Total Compensation at Target:
$208,300+
Annual Benefits Stipend:
$21,393
United Kingdom
Base Salary:
£124,370
Bonus at Target Performance:
15% (~£18,656, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~£21,827 in 2025)
Estimated Total Compensation at Target:
£143,026+
Annual Benefits Stipend:
£2,760
Kenya
Base Salary:
$112,350
Bonus at Target Performance:
15% (~$16,853, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$19,717 in 2025)
Estimated Total Compensation at Target:
$129,203+
Annual Benefits Stipend:
$8,453
This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process.
Why work at GiveDirectly?
At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:
A positive and supportive team with opportunities for advancement
A demonstrated commitment to helping all staff develop and grow
A competitive salary, including bonus
A robust health benefits plan (exact details will vary by country)
Unlimited PTO (that we encourage staff to take!)
Desk allowance and flexible work location
About this specific hiring process
Take-home coding assignment
Live Coding (60 mins)
Systems Design (60 mins)
Project Deep Dive + Behavioral (60 mins)
*It’s possible that there will be adjustments to this interview process. Any changes will be communicated to you during the process.
#LI-REMOTE
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Referrals
Know the right person for this role? Please consider
referring them
. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!
Задачи:
— Разрабатывать backend на Laravel
— Проектировать и описывать отказоустойчивую бизнес-логику на PHP 8.x с использованием возможностей Laravel
— Оркестрировать ИИ через Dify
— Развертывать, конфигурировать и интегрировать Dify (Workflow, Agents, RAG); связывать backend приложения с Dify API
— Проектировать и разрабатывать API
— Создавать чистые, документированные RESTful/gRPC контракты для мобильных и веб-клиентов компании
— Управлять асинхронными процессами
— Оптимизировать тяжелые запросы к LLM через очереди (Laravel Queues/Horizon), настраивать потоковые передачи ответов (Server-Sent Events / Стриминг)
— Проектировать и оптимизировать схемы реляционных баз данных под хранение истории диалогов, контекста, логов и сессий ИИ
— Писать Unit/Feature тесты (Pest/PHPUnit)
— Участвовать в Code Review и поддерживать высокие стандарты кодовой базы
Требования:
— Опыт коммерческой разработки на PHP от 4 лет, из которых не менее 2 лет - активная работа с фреймворком Laravel
— Глубокие знания баз данных и систем кэширования: уверенное владение и глубокое понимание принципов работы Redis и PostgreSQL
— Асинхронное взаимодействие: глубокое понимание принципов асинхронного взаимодействия сложных систем
— Экспертиза в асинхронности
— Глубокое понимание работы очередей, планировщиков задач (Cron) и паттернов обработки долгоживущих соединений
— Уверенные знания SQL
— Опыт оптимизации сложных запросов, индексации таблиц и проектирования архитектуры данных для высоконагруженных систем
— Будет плюсом:
— Наличие опыта интеграции Dify (или аналогичных LLM-оркестраторов вроде Flowise/Langhope) в реальных проектах
— Понимание специфики LLM
— Понимание принципов работы языковых моделей, токенизации, контекстных окон, логики работы эмбеддингов и семантического поиска
Условия:
— Оформление в аккредитованную ИТ-компанию
— График 5/2 с гибким началом
— Формат работы: гибрид или офис (Москва, Краснодар), удалённо из других городов РФ
Задачи:
– участвовать в проектировании и реализации функционального модуля Казначейство, рефакторинг существующих решений
– обеспечивать стабильность и производительность информационных баз
– внедрять современные практики разработки: автоматизированное тестирование, контроль версий (Git)
– лидировать команду разработчиков 1С по задачам технического развития
– развивать технические компетенции команды, проводить Code Review
– оптимизировать процессы разработки, внедрять стандарты кодирования и документирования
Требования:
– опыт работы в разработке на платформе 1С:Предприятие — не менее 5 лет
– глубокое понимание архитектуры 1С, объектов метаданных, обработки событий
– опыт разработки и внедрения решений по управленческому учёту и МСФО
– навыки проектирования сложных конфигураций, оптимизации производительности
– умение читать и анализировать код, проводить Code Review
– опыт работы в БИТ Финанс, ERP-системах или крупных корпоративных проектах будет плюсом
Задачи:
• Создание автоматизированных систем на базе ИИ
• Разработка backend AI-платформы: REST API, БД, фоновые задачи, интеграции с AI-сервисами
• Разработка frontend и админ-панели (React / Next.js)
• Интерфейсы загрузки, генерации и отображения изображений/видео
• Платёжные сценарии и пополнение баланса
• Обработка длительных AI-генераций и их статусов
• Адаптивная вёрстка, локализация, тёмная/светлая тема
• Оптимизация производительности, SEO и UX
• Участие в проектировании архитектуры, написание тестов, code review
Требования:
• Python, FastAPI, SQLAlchemy — коммерческий опыт от 3 лет
• JavaScript / TypeScript, React, Next.js (App Router, SSR, CSR, Server Components) — от 3 лет
• REST API, авторизация (access/refresh tokens, cookies, protected routes)
• State management: TanStack Query / SWR, Zustand / Redux Toolkit
• Формы и валидация: React Hook Form, Zod
• WebSocket / SSE / polling, очереди и фоновые задачи
• PostgreSQL, интеграция внешних API и платёжных систем
• Работа с файлами, S3, изображениями и видео
• Адаптивная вёрстка по Figma, UI-компоненты и design system
• Git, code review, базовое покрытие тестами
• Самостоятельность: декомпозиция задач и доведение до production
Будет плюсом:
• Опыт AI-сервисов и работы с изображениями/видео
• Интеграция платежей и загрузка файлов в S3
• Админ-панели, PWA, мультиязычность, дизайн-системы
• Опыт работы с AI-инструментами (Cursor, Claude Code и др.)
• Опыт создания/интеграции анимаций на сайте (GASP, Framer Motion, CSS & Tailwind или др)
Условия:
• Полностью удалённый формат
• Сильная команда и развитие
• Корпоративный английский
• Адаптация и поддержка на старте
About this role
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.
What You Will Do:
— Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
— Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
— Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
— Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
— Optimize performance, reliability, and cost of the ML platform
— Evaluate and integrate emerging Databricks features
— Stay ahead of the curve by engaging with the latest developments in machine learning and AI
— Serve as senior ML technical advisor to Faire’s data science and production engineering teams
— Represent Faire at ML conferences and meetups
— Mentor ML engineers and raise the overall bar for Machine Learning at Faire
What it takes:
— 10-12 years of experience building and improving large-scale ML or data platforms
— A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
— Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
— Proven ability to design systems that support multiple data science teams and production workloads
— Strong background in distributed systems, ML infrastructure, and cloud architecture
— Demonstrated technical leadership across teams and orgs; ability to influence without authority
— Experience integrating LLM workflows into enterprise platforms is a plus
— Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus
Tech Stack:
Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:
— Languages: Python, SQL, Kotlin
— ML Frameworks: PyTorch, PySpark, MLFlow
— Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL
— Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform
— Generative AI: Claude Sonnet 4.5, ChatGPT 5.2
Conditions:
Hybrid work format with office presence 3 days per week (Tuesdays, Thursdays, and a flex day) and flexibility to work remotely up to 4 weeks per year. Remote work possible for candidates located in Ontario, Canada.
Salary Range:
$248,000 to $341,000 per year, eligible for equity and benefits. Actual base pay depends on skills, experience, market demands, and location. Base pay range subject to change.
В роли Python-разработчика предстоит создавать и совершенствовать высоконагруженные сервисы и платформенные решения на Python, участвовать в проектировании и улучшении архитектуры продуктов совместно с командой, а также оптимизировать производительность сервисов и автоматизировать процессы разработки. Работа включает взаимодействие с базами данных, распределёнными системами и современными инструментами разработки, участие в code review, обсуждение технических решений и развитие инженерных практик. Влияние на развитие продуктов охватывает все этапы — от проектирования до сопровождения. Кандидат должен хорошо владеть Python и понимать его принципы работы, иметь опыт участия в code review, разбираться в многопоточности и асинхронном программировании, писать читаемый и поддерживаемый код, а также иметь опыт работы с базами данных и понимание их принципов. Знание инструментов наблюдаемости, таких как логирование, метрики и трассировка, а также понимание принципов ООП, SOLID и основ функционального программирования являются обязательными. Дополнительным преимуществом будет опыт проектирования распределённых систем, работа с Kubernetes, внедрение AI-решений или интерес к AI, LLM и RAG, а также участие в улучшении процессов разработки и развитии продуктовых решений. Работа выполняется в удалённом формате.
УдалённоmiddleГеография найма не уточнена
УдалённоseniorCosta Rica
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seniorWe believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
