Задачи:
— Функциональное тестирование сложных сценариев, включая проверку микрофронтов и корректности работы ролевых моделей с разными правами доступа.
— Тестирование интерфейсов (UI/UX) на соответствие требованиям.
— Проверка контрактов между Frontend и Backend, а также между микросервисами (REST API).
— Проверка внутренней бизнес-логики микросервисов.
— Проверка корректности вычитывания операций из блокчейн-сети.
— Проверка записей транзакций в блокчейн, контроль целостности и неизменяемости.
— Проверка механик оффчейн-сбора консенсуса.
— Написание и поддержка автотестов на Java (TestNG).
— Разработка эмуляторов и заглушек (Wiremock) для изолированного тестирования микросервисов.
— Настройка и конфигурирование тестовых сред.
— Работа с инструментами мониторинга для анализа поведения системы под нагрузкой и в штатном режиме.
— Подготовка тестовой документации и отчетов по качеству продукта.
Требования:
— Опыт от 3 до 5 лет на позиции тестировщика (функциональное/интеграционное тестирование).
— Высшее техническое образование.
— Уверенное владение SQL (все базовые команды, JOIN-ы, вложенные запросы, фильтрация данных).
— Глубокое понимание REST API (методы, коды ответов, авторизация, работа с JSON/XML).
— Опыт разработки автотестов на Java с использованием TestNG.
— Опыт работы с инструментами мониторинга (Kibana, Grafana, Zabbix или аналоги), умение читать логи и метрики.
— Базовое понимание принципов интеграции с блокчейн-сетями.
— Опыт подготовки тестовой документации (тест-кейсы, чек-листы, отчеты о дефектах).
— Опыт настройки и конфигурирования тестовых сред (поднятие стендов, обновление конфигов).
— Практический опыт разработки эмуляторов/заглушек (Wiremock).
Будет преимуществом:
— Опыт тестирования блокчейн-решений или финансовых платформ.
— Понимание основ криптографии и управления ключами.
— Опыт работы с микросервисной архитектурой и Kubernetes/OpenShift.
— Опыт тестирования асинхронных взаимодействий (Kafka, очереди сообщений).
— Знание BDD-подхода (Cucumber, Gherkin).
Условия:
— Участие в инновационном проекте федерального уровня в быстрорастущем сегменте ЦФА.
— Официальное трудоустройство по ТК РФ, полностью «белая» заработная плата.
— ДМС на сотрудника и детей после испытательного срока.
— Работа в сильной команде экспертов с прозрачной системой постановки задач.
— Возможность профессионального роста и изучения блокчейн-технологий (онбординг, менторство).
Location: Global - Remote; United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Software Engineer
We build the infrastructure that frontier AI labs use to evaluate coding agents and language models: benchmark datasets, agent evaluation runs at scale, and automated task quality checks. You would own features across the stack, from the data model and background jobs to the screens our users work in every day.
This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone.
What you will do
Design and ship features end to end: data model, API, background workers, and the UI when the change needs it.
Build and improve how agents and models are evaluated: running trials in sandboxed environments, scoring results, and turning thousands of runs into results people can trust.
Improve how benchmark tasks are quality-checked: verifiers, rubric-based and LLM-as-a-judge grading, and deciding whether a task is clear, solvable, and fair to score.
Integrate new models, agents, and benchmarks in a way that generalizes, without a special case for each one.
Keep the system fast and reliable as usage grows: efficient queries, safe migrations, and concurrency that holds up under load.
Review teammates’ pull requests against our engineering guidelines and help keep the codebase consistent.
What you bring
5+ years building and operating production backend systems, with ownership of at least one service from design through on-call.
Bachelor’s degree or higher in Software Engineering, Computer Science, or a related field.
Strong Python and experience with Django (or a similar framework), PostgreSQL, and a task queue such as Celery. What matters most is having run a real system, not knowing a particular framework.
Hands-on experience in LLM evaluation, beyond calling a model API. You understand how a benchmark task is built, how an agent trial is scored, and how results are aggregated and compared. Experience with Harbor, Terminal-Bench, SWE-bench, Inspect, or a similar harness is a strong plus.
Judgment about task quality. You can spot ambiguous instructions, weak or gameable verifiers, leaked answers, and checks that pass for the wrong reason.
Good tradeoffs. You reach for the smallest design that solves the problem, extend what already exists before adding something new, and can explain what you chose not to build.
Ownership. You take a fuzzy request, find the relevant code, ask questions only when the answer changes the design, and finish the job, including migrations, tests, and edge cases users will hit.
Quick adoption of team conventions. You read the written guidelines and your first pull requests already match them in naming, structure, tests, and error handling.
Comfort with a TypeScript and React frontend when a change is visible there. You don’t need to be a frontend specialist.
Clear writing. Your pull request descriptions and design notes explain why, not just what.
Nice to have
Experience running agents in sandboxed or containerized environments (Docker, Kubernetes, or cloud sandboxes such as Modal or Daytona).
Experience with LLM-as-a-judge or rubric-based grading, and with reducing judge bias and noise.
Familiarity with coding agents such as Claude Code, Codex, or OpenHands, and with MCP.
Experience with distributed job scheduling, concurrency limits, or database locking at scale.
Contributions to open-source evaluation or infrastructure projects.
How we work
Written engineering guidelines, applied consistently, with the same review bar for everyone.
Business logic lives in services. Hot paths stay cheap. Lint and tests pass before a pull request is ready.
The same vocabulary in the code, the API, and the UI.
We prefer deleting code to adding it, and simple designs to clever ones.
A strong first month looks like several changes merged with light review, and one area of the system you can change confidently without a guide.
Compensation:
$xxx,000 - $xxx,000 Base Salary + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Talablar:
— Node.js, NestJS, JavaScript va TypeScript bo‘yicha bilim va tajriba
— PostgreSQL, MongoDB, Redis bilan ishlash
— REST API va microservices arxitekturasi
— Jest yoki Vitest orqali test yozish
— Docker va Git vositalarini bilish
— Code review jarayonini tushunish
Vazifalar:
— Backend servislarni ishlab chiqish va qo‘llab-quvvatlash
— REST API va tashqi tizimlar bilan integratsiya qilish
— Ma’lumotlar bazalarini loyihalash va optimallashtirish
— RabbitMQ yoki Kafka bilan ishlash
— Vue 3 va Nuxt 3 frontend qismi bilan integratsiya
— CI/CD, monitoring va loglash jarayonlarida ishtirok etish
Qo‘shimcha ustunliklar:
Vue 3, Nuxt 3, TypeORM, Prisma, Kafka, RabbitMQ, WebSocket, OAuth 2.0 va payment integratsiyalari bo‘yicha tajriba.
Sharoitlar:
— Rasmiy ishga joylashish
— Maosh oyda bir marta to‘lanadi
— Mahsulot arxitekturasini rivojlantirishda ishtirok
— Professional o‘sish imkoniyati mavjud
Ish joyi Toshkent shahrida, ofisda. Ish jadvali 5/2, 10:00 dan 19:00 gacha.
Take early People products to production and grow them into a suite of experiences, across standalone products, plugins, and everyday tools, that move from answers and insights to personalized guidance, proactive support, and approved actions.
Location: Mexico; Brazil; Costa Rica; Argentina; Colombia; Bolivia, Plurinational State of
The Product Engineer will design, develop, and improve customer-facing features for a fast-growing digital marketplace. This role combines full-stack software development, product ownership, and problem-solving to deliver scalable solutions that enhance the user experience.
The ideal candidate is a hands-on engineer who enjoys building products from concept to production, working independently, and using modern AI technologies to accelerate development. This position requires strong backend expertise in Python and Django, solid frontend development skills, and the ability to make practical technical decisions in a fast-paced startup environment.
Responsibilities
Design, build, and launch new product features from concept to production.
Develop and maintain backend applications using Python, Django, and PostgreSQL.
Build and improve responsive, user-friendly interfaces using JavaScript, HTML, CSS, and modern frontend technologies.
Take ownership of the full development lifecycle, including architecture, implementation, testing, deployment, and maintenance.
Integrate AI models, APIs, and automation tools into existing and new product features.
Identify and resolve performance bottlenecks, optimize database queries, and improve application scalability.
Maintain and improve existing systems by troubleshooting issues, refactoring code, and implementing technical improvements.
Collaborate with product stakeholders to translate business requirements into functional, customer-facing solutions.
Leverage AI-assisted development tools to improve coding efficiency while maintaining code quality.
Work independently, prioritize effectively, and deliver high-quality solutions in a distributed startup environment.
Requirements
3–6 years of professional experience in full-stack software development, preferably building SaaS platforms or customer-facing web applications.
Strong hands-on experience with Python, Django, and PostgreSQL in production environments.
Solid frontend development skills using JavaScript, HTML, CSS, and modern frameworks such as React.
Demonstrated experience building and shipping complete product features independently.
Experience developing and integrating REST APIs and third-party services.
Practical experience integrating large language models (LLMs) or AI-powered functionality into applications.
Strong understanding of database optimization, application performance, and scalable backend architecture.
Experience using AI-assisted coding tools such as Claude Code, Cursor, or similar technologies.
Previous experience working in startups, scale-ups, or small product-focused engineering teams.
Strong problem-solving skills, technical ownership, and ability to work with minimal supervision.
Advanced English communication skills (C1 or equivalent).
Preferred
Experience with React, Next.js, and TypeScript.
Familiarity with OpenAI APIs, RAG, AI agents, and AI workflow automation.
Experience with Redis, WebSockets, asynchronous processing, or real-time applications.
Knowledge of AWS, Docker, CI/CD pipelines, and cloud infrastructure.
Experience building or scaling SaaS products, marketplaces, or high-traffic platforms.
Familiarity with payment integrations, third-party APIs, and workflow automation.
Experience working with Figma or collaborating directly with product designers.
Experience improving legacy systems, refactoring codebases, and optimizing database performance.
Benefits
Salary:
$4,000 to $4,500 USD per month
Performance Bonus — annual cash bonus tied to company growth (13th-month pay).
PTO: 2 weeks
Setup: Fully Remote
Проектирование, разработка и сопровождение frontend-приложений и fullstack-сервисов. Проработка бизнес-требований, функциональных сценариев и архитектуры решений.
Location: Wrocław, Poland; Sofia, Bulgaria; Porto, Portugal
New opportunities in Europe!
🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects.
We invite an Junior Software Engineer with hands-on experience in Angular and Node.js to join our team. In this role, you’ll help build and maintain cloud-based enterprise applications, contributing across both frontend and backend. You'll collaborate closely with engineers and cross-functional teams to deliver new features, enhance existing solutions, and support ongoing product improvements.
🟩
What's in it for you:
Work on enterprise-scale applications used by businesses worldwide, gaining exposure to the Point of Sale (POS) and payment processing industry
Contribute to impactful features across the frontend and backend while expanding your full-stack development expertise
Join a collaborative engineering environment that encourages knowledge-sharing and professional growth
✅ Is that you?
1.5+ years of experience as a Full-Stack Software Engineer
Strong experience building frontend applications with Angular and TypeScript
Some experience with Node.js for backend development
Experience working with payment systems or understanding of payment processing workflows
Experience integrating with hardware devices or working with hardware-related systems
Understanding of integrations between frontend and backend components
Experience working with relational databases (SQLite or similar)
Experience writing unit tests and following code quality best practices
Strong problem-solving and communication skills, with the ability to collaborate across teams
Upper-Intermediate English level
Desirable:
Familiarity with cloud environments, preferably AWS
Familiarity with payment systems or payment processing workflows
🧩
Key responsibilities and your contribution
In this role, you'll use your full-stack expertise to improve our client’s cloud-based restaurant management platform, enhancing its features to better serve small and medium-sized businesses.
Develop, maintain, and enhance enterprise applications using Angular and Node.js, delivering functionality across both frontend and backend
Develop and integrate APIs to support communication between application components and services
Investigate, troubleshoot, and resolve technical issues across the application stack
Collaborate with engineers, QA, and other cross-functional team members to coordinate work and deliver reliable, well-integrated solutions
Participate in technical discussions, contribute to implementation approaches, and maintain relevant technical documentation
Contribute to code quality, maintainability, and continuous improvement of development practices
Our next steps:
✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract
Interested? Find out more:
📋
How to Join Us
💻 LinkedIn Page
📈 Our website
💻 IG Page
By submitting application, I've read and agree to the Dev.Pro
Private Policy and Consent on Processing of Personal Data
. I agree to have my Personal Data being stored and processed by Dev.Pro.
Задачи:
— Создавать мобильные приложения от идеи до релиза, используя AI-инструменты для ускорения разработки и проверки гипотез.
— Собирать и уточнять требования совместно с Product Manager.
— Прорабатывать технические решения и декомпозировать задачи.
— Подбирать инструменты и технологии, включая AI-инструменты и coding agents.
— Разрабатывать frontend на iOS, при необходимости backend и интеграции.
— Проверять работоспособность, тестировать гипотезы и исправлять ошибки.
— Настраивать CI/CD и автоматизировать сборку.
— Подготавливать релиз, деплоить приложение и публиковать его в App Store.
— Поддерживать и развивать выпущенные приложения на основе обратной связи и результатов проверки гипотез.
— Работать над 2-3 проектами параллельно.
Условия:
— Заработная плата до 320 000 ₽ за месяц, на руки.
— Компания Evrone занимается продуктовой разработкой стартапов и цифровой трансформацией бизнеса в России, США и Европе.
— Основные рынки продуктов: США, Канада, Великобритания, Австралия и Новая Зеландия.
— В работе мобильные приложения для массового рынка по подписочной модели (Health & Nutrition, Astrology, крипто-симуляторы, QR-сканеры, PDF-компрессоры, трекеры сна и другие subscription-продукты).
— Процессы включают ежедневные дейли, недельное планирование и спринт-ревью, совместное обсуждение функциональности и релизов с Product Manager, возможность корректировать объём работ от спринта к спринту.
Этапы рекрутинга:
— HR-интервью (мотивация, soft-skills, технический блиц-опрос и т.д.).
— Проверка реальности опыта (понадобятся подтверждающие документы на опыт в резюме).
— Техническое интервью.
— Интервью с проектным лидом и оффер.
Location: New York, NY; Pittsburgh, PA
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding
innovative solutions to complex technical problems
, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role
We are looking for an experienced AI Research Engineer to join our Speech team. The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques, and a particular focus on speech modeling: ASR, TTS, speech-to-speech models, audio tokenization, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, benchmarks and evaluations, deployment, and monitoring. On the Speech team, we’re training custom models to understand the speech of non-native learners, working closely to support product teams working on features like Video Call and the learning path.
You will...
Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment.
Contribute to the development and training of speech models and large-scale neural network models.
Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives.
Participate in and help drive strategic product and business decision making as a member of the Speech leadership group.
Stay up-to-date with the latest developments in machine learning, particularly in speech models, and apply this knowledge to drive advancements in our projects.
Mentor team members, providing guidance and support in their professional development.
Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.
You have...
Proven experience as an AI research engineer, for example, in speech recognition, TTS, LLMs, or related fields.
Strong background in training and fine-tuning large models in an applied setting.
Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.
Excellent leadership and communication skills, with the ability to manage and inspire a team.
Deep understanding of machine learning concepts, frameworks, and best practices.
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$220,800
—
$331,200 USD
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
Location: Bellevue
Workplace: Hybrid
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
Principal Product Designer, Platform
Full time · Hybrid (3 days per week onsite)
Bellevue, WA or Austin, TX
About the team
Within the UiPath Platform, Maestro is our orchestration layer: where agents, robots, and people are brought together to run business processes end to end, and where those processes are designed, built, and deployed.
Maestro is tackling a new class of design problems: how people, agents, and automation work together in complex business processes. You'll help define the interaction models for that world, not just apply patterns that already exist.
We are making the AI surfaces that a new generation of builders work in—people who move between intent, design, and running software without changing tools. And we build Maestro as a deeply integrated team, where design, product management, and engineering share the work and blur the lines between roles.
About the role
You will own the end-to-end experience of one or more Maestro products, from enterprise developer surfaces, through observability, to the consumer-grade business apps our customers rely on to get their work done. You meet with customers to understand their goals deeply, so you know where the product needs to go.
PMs and engineers are your crew. You work with them every day and ship together. The lines between roles are blurring on purpose, but the quality of the experience is yours to own.
You will ship what you design. Designers here use tools like Claude Code and Codex to turn an idea into a working prototype the same day and a shipped feature in days or weeks. You explore in the real product instead of stopping at a mockup, and when it is right, you can open the PR yourself alongside engineering.
When a hard problem cuts across product, engineering, and design, you bring the team to a decision. Your impact extends beyond your own product: you raise the quality bar, shape how we build, and make the designers around you better.
You will report to the Director of Product Design for Maestro.
What you'll own
- The experience. The end-to-end UX of one or more Maestro products and the quality bar they are held to.
- Design direction. You set it with your PM and engineering partners, carry it through delivery, and resolve the gaps when the three functions see the problem differently.
- Coherence across Maestro. What you build on your products has to hold up alongside the others. You work with fellow Maestro and platform designers to ensure consistency.
- Quality of implementation. You move beyond design mocks and prototypes and contribute to production code—ensuring quality from design to the end customer experience.
- Team influence. You create opportunities for designers to grow and help shape how design, product, and engineering build together.
- Design strategy. You inform the design strategy for your products and help shape the direction of Maestro more broadly, turning customer needs, business goals, and technical possibilities into a clear point of view for where the experience should go.
- Business outcomes. Design is measured against the same product metrics the team carries. You establish the baseline for your product and are precise about what design influences.
What we're looking for
- Deep product design experience. Typically 10+ years owning meaningful product areas, with a consumer-grade quality bar you can bring into a complex enterprise domain.
- Exceptional product and design judgment. You know how to work with internal teams and customers to uncover what is needed, not just what they ask for. This is non-negotiable.
- Design leadership. You can align product, engineering, and design around a complex problem, make the tradeoffs clear, and move the team toward a decision.
- Strong instincts, backed by evidence. You dig into unfamiliar domains, spot gaps early, and push quality higher rather than waiting to be told.
- Business curiosity. You want the context and go get it—from PMs, data, and customers directly rather than waiting for a brief.
- You build. You use tools like Claude Code or Codex to move directly from an idea to working software. You don't need to be a software engineer, but you should be comfortable working in a modern frontend codebase. If you haven't worked this way yet, you should be excited to learn.
- Strong product judgment. You can take a position on what should be built, make the case with designers, PMs, and engineers, and change course when the evidence calls for it.
- Cross-product thinking. You can design for several teams and surfaces while keeping the overall experience coherent.
- Excellent communication. You can go deep with engineers on implementation details and work with product leaders on strategy and priorities.
- Familiarity with tools like Figma and GitHub, and comfort working through ambiguity.
Experience we value
- Experience designing AI or agentic products, especially where people and automation share the work.
- Experience designing tools for builders: developer, low-code, or workflow products.
- Experience with design systems shared across multiple product teams.
- Experience in business automation or enterprise software.
#LI-JV1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
О продукте
Forecast & Replenishment (FnR) - это самый масштабный проект по цифровой трансформации в цепочке поставок и первый в России проект по созданию и внедрению полностью отечественного ПО в F&R для такого размера бизнеса в офлайн-ритейле.
F&R - это высоконагруженная система прогнозирования спроса и формирования заказов, обеспечивающая сквозную end-to-end цепочку – от размещения заказа у поставщика до доставки товара в конкретный магазин.
Данная система — это не микросервисы и не монолит. Это отдельные Java-сервисы, масштабирование в которых происходит за счет Apache Ignite.
Задачи
Выявлять и анализировать требования, определять бизнес-потребности и переводить их в системные требования.
Описывать логику работы ПО, бизнес-алгоритмы, интеграции, взаимодействие компонентов системы, требования к обработке и хранению данных.
Формировать спецификации, описания процессов, модели данных, API-контракты и другие материалы, необходимые команде для разработки.
Декомпозировать бизнес-задачи на отдельные задачи разработки, учитывать зависимости между компонентами и участвовать в оценке трудоёмкости.
Проверять соответствие реализованного функционала согласованным требованиям, выявлять расхождения и сопровождать их устранение.
Готовить документацию и описания решений, представлять реализованный функционал заказчикам и согласовывать результаты работы.
Требования
Опыт работы системным аналитиком от 3 лет.
Уверенное владение SQL и опыт работы с базами данных.
Умение выявлять бизнес-потребности, формализовывать требования и описывать функциональные и нефункциональные требования к ПО.
Понимание принципов работы алгоритмов и оценки их сложности.
Навыки проектирования моделей данных: построение ER-диаграмм, нормализация данных.
Опыт моделирования бизнес-процессов с использованием BPMN, UML и/или DFD.
Опыт проектирования API-контрактов по OpenAPI, понимание подхода API First и принципов интеграции систем через REST API, брокеры сообщений и ETL/ELT-процессы.
Написание запросов SQL на среднем/высоком уровне, работа с СУБД.
Опыт разработки веб-приложений с нуля, работа с Git.
Стек:
Языки программирования: Backend, Calculation - Java, DE Pipelines - Python, Frontend - JavaScript, Vue
БД: PostgreSQL, Clickhouse, H2, Apache Trino, Apache Iceberg
Брокеры сообщений: Apache Kafka
Распределенные вычисления: Apache Ignite
Мониторинг: Prometheus, Micrometer, OpenTelemetry, Grafana
Контейнеризация: Kubernetes, Docker
Инструменты качества кода: SonarQube, JaCoCo, CheckStyle
Условия
Трудоустройство в аккредитованную IT‑компанию
ДМС со стоматологией и льготными условиями для членов семьи
Работу в максимально уютном офисе в центре Москвы (ст. м. Савеловская), в Краснодаре или удаленно из других городов РФ, так же есть офисы в Санкт-Петербурге (ст. м. Балтийская) и в Иннополисе
Корпоративные скидки от компании и партнеров, бесплатная подписка Магнит Премиум с повышенным кешбэком по программе лояльности М+
Ежегодная программа признания с ярким праздником и впечатляющим подарком
Поддержку в развитии через обучение, конференции и митапы, а также программу для руководителей — Leadership club
IT‑комьюнити — среда, где быстрее находишь решения, делишься практиками, пробуешь новые роли и растешь от эксперта в стекe до лидера инициатив
Мы являемся партнером Минцифры России по проекту Национальная система подтверждения IT‑компетенций
Работа над масштабными продуктами и проектами (Умный магазин, роботизация, беспилотность, GenAI и другое)
Социально–
психологическая поддержка от >370 специалистов по направлениям:
юристы, психологи, врачи, финансовые и ЗОЖ советники
Location: Islamabad, Pakistan
Workplace: hybrid
We are looking for a
Senior Software Engineer
to build and run backend services and internal web applications for our AI teams. You will write production-grade
Go, Python and TypeScript
, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.
Key Responsibilities
Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
5+ years of commercial software engineering, with
production work on both backend and frontend
. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
We are looking for a
Senior Software Engineer
to build and run backend services and internal web applications for our AI teams. You will write production-grade
Go, Python and TypeScript
, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.
Key Responsibilities
Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
5+ years of commercial software engineering, with
production work on both backend and frontend
. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Cairo, Egypt
Workplace: hybrid
We are looking for a
Senior Software Engineer
to build and run backend services and internal web applications for our AI teams. You will write production-grade
Go, Python and TypeScript
, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.
Key Responsibilities
Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
5+ years of commercial software engineering, with
production work on both backend and frontend
. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Москва
Наша команда работает над флагманским продуктом компании - программой долгосрочных сбережений, которая является основным продуктом Негосударственного Пенсионного Фонда. Мы ищем возможность усилить команду за счет опытного Java-разработчика уровня Senior.
Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры.
ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!
Обязанности
* Управление командой разработки ИС: планирование ресурсов, распределение задач, контроль сроков, качества и бюджета; проведение 1:1, оценка эффективности, наставничество;
* Участие в развитии архитектуры: проектирование и контроль реализации API, микросервисов, интеграций и CI/CD; обеспечение доступности, масштабируемости и отказоустойчивости;
* Организация процессов разработки: ведение бэклога, планирование спринтов, контроль code review, тестирования (unit/integration), баг-трекинга и управления релизами;
* Обеспечение качества кода и архитектуры: организация аудитов, выявление уязвимостей и несоответствий требованиям безопасности, координация исправлений;
* Внедрение SDD и AI SDLC: адаптация генеративных инструментов для кода, тестов и документации, автоматизация рутинных задач, повышение производительности команды;
* Координация взаимодействия с frontend-разработкой, тестированием, аналитиками, DevOps, отделом безопасности и инфраструктурными подразделениями; управление ожиданиями стейкхолдеров;
* Контроль DevOps-решений и observability: централизованное логирование, метрики, трассировка, алертинг;
* Участие в согласовании технических решений, оценке трудозатрат, рисков и сроков; проведение техсобеседований и участие в найме;
* Обеспечение исполнения заявок и соблюдения стандартов работы с ИТ-ресурсами, принятых в Фонде;
* Взаимодействие с отделом безопасности по вопросам соответствия ПО текущим стандартам;
* Управление инцидентами: организация диагностики, устранение узких мест, оптимизация производительности, проведение ретроспектив и внедрение улучшений.
Требования
* Опыт управления: Руководство командой разработки от 3 лет, общий опыт Java-разработки от 5 лет;
* Управление проектами: Опыт планирования, оценки сроков, управления рисками и бюджетами в проектах по разработке высоконагруженных Spring Boot приложений;
* Опыт работы с архитектурой: Проектирование модульных, масштабируемых систем с использованием DDD, Clean Architecture, Event Sourcing.
* Опыт построения CI/CD, опыт с Docker, Kubernetes (Helm, service mesh), GitOps;
* Опыт работы с базами данных: Глубокое владение SQL и NoSQL (PostgreSQL, MongoDB), опыт оптимизации, проектирования схем, шардирования и партиционирования.
* Практический опыт с Kafka, настройка потоков данных, гарантии доставки.
* Опыт настройки мониторинга (Prometheus/Grafana, Jaeger/OpenTelemetry) и управления секретами (Vault/K8s Secrets), понимание OAuth2/OIDC.
Условия
* Гибридный формат работы (современный офис в Москве, м. Шаболовская);
* Льготные ипотечные условия кредитования;
* Подписка Прайм с возможностью совместного использования на трёх близких;
* ДМС с первого дня и скидки на страхование для близких;
* Корпоративная пенсионная программа;
* Детский отдых и подарки за счет Компании;
* Обучение за счет Компании: онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификацию.
Global - Remote; United States; For applicants from the European Union, please review
УдалённоMexico; Brazil; Costa Rica; Argentina; Colombia; Bolivia, Plurinational State of
УдалённоjuniorWrocław, Poland; Sofia, Bulgaria; Porto, Portugal
Автоотклики