Обзор продукта и технологий:
Функциональность продукта включает персональные поездки сотрудников, грузовую логистику, управление автопарком и диспетчерскую. Продукт ориентирован на внутреннее и внешнее использование.
Стек технологий: фронтенд — React/MobX/ReactQuery, бэкенд — микросервисы Java Spring Boot, Kafka, мобильные приложения iOS/Android, e-mail, S3-хранилища, OpenID, СУБД Postgres.
Требования к кандидату:
• Опыт работы в роли разработчика от 5 лет в проектах по разработке, модификации и/или внедрению ПО с использованием инструментов и технологий Java;
• Опыт работы со всеми указанными технологиями: Spring, Hibernate, Gradle, JMS, JAX-WS, Git, Jenkins, UML, JUnit;
• Опыт в управлении командой разработчиков (не менее 3 человек);
• Опыт командной разработки с использованием Confluence и Jira;
• Опыт работы как в каскадных (waterfall), так и в гибких методологиях разработки (Agile, DevOps, Scrum).
Задачи:
- Разрабатывать и развивать backend-функциональность на Java
- Участвовать в реализации бизнес-процессов, связанных с кодами маркировки
- Работать с PostgreSQL, Kafka и S3
- Разрабатывать и поддерживать сервисы на базе Spring
- Участвовать в проектировании интеграций между внутренними и внешними системами
- Декомпозировать задачи и планировать их выполнение
Требования:
- Отличное знание Java 8+
- Практический опыт работы со Spring Core, Spring Data, Spring Web и Spring Security
- Опыт работы с Apache Kafka
- Уверенное знание PostgreSQL
- Глубокое понимание ООП, SOLID и принципов чистого кода
- Базовый опыт работы с Kubernetes
Задачи:
• Проектировать и разрабатывать production smart contracts;
• Реализовывать vault-механики, токенизированные позиции, финансовый учёт, роли и лимиты;
• Интегрировать DeFi-протоколы;
• Вести полный цикл изменений: от технического дизайна и реализации до deployment и сопровождения;
• Писать unit, integration и fork-тесты в Hardhat, fuzz и invariant-тесты в Foundry;
• Проводить security review, готовить контракты к аудиту и устранять замечания;
• Постепенно подключаться к production-задачам на Rust.
Требования:
• Опыт разработки и поддержки нетривиальных smart contracts в mainnet или сопоставимой production-среде;
• Production-опыт с Solidity и глубокое понимание EVM;
• Уверенная работа с Hardhat;
• Практическое знание DeFi;
• Понимание рисков smart contract security;
• Английский для работы с документацией и технического общения;
• Интерес к развитию в Rust.
Будет плюсом:
• Участие в аудитах, bug bounty или security research;
• Опыт с инструментами анализа и верификации smart contract;
• Знание Yul/assembly, L2, bridges или cross-chain решений;
• Опыт с Rust, indexers, simulation или transaction tooling.
Условия:
• Фиксированная компенсация;
• Влияние на архитектуру и технические решения;
• Работа с production-контрактами и DeFi-интеграциями;
• Высокий уровень ownership;
• Возможность расширить профиль от Solidity до Rust и системной разработки.
ГибридseniorМосква
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Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma is building its founding Forward Deployed Engineering team to solve the complex, real-world challenges that emerge when bringing Figma’s products into large-scale enterprise environments and looking for founding Forward Deployed Engineers. As a Forward Deployed Engineer, you’ll embed directly with strategic customers, working across their codebases, design systems, developer environments, and workflows to make Figma’s products successful within their unique technical constraints. You’ll tackle the hardest adoption challenges hands-on, from complex frontend stacks and legacy systems to security and access requirements, while building trusted partnerships with customers’ senior engineering teams.
This is a senior/staff-level engineering role within Product and Engineering, not a sales or services function. You’ll work directly in customer environments when needed, using the minimum access required. Your goal is smooth adoption by the customer’s product and engineering teams, which means making complex workflows work simply in their environment and solving the underlying problems You’ll do that hands-on, often by writing Figma product code, then turn what you learn into a reusable path for future customers instead of taking permanent ownership of the customer’s codebase. Working closely with Figma’s Product, Engineering, Sales, and Customer Experience teams, you’ll help shape both the product and how this brand-new function works and scales. The role is highly collaborative, deeply customer-facing, and built for engineers who thrive in ambiguity, take end-to-end ownership, and want to solve the highest-impact problems at the intersection of product, engineering, and customer needs. This role includes periodic travel to work alongside strategic customers in person.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Make an enterprise design system agent-ready so AI tools generate faithful, on-system code: fix tokens, naming, and guidelines, wire up Code Connect, and run evals
Get Make Local, Code Layers, and our newest products working in a customer’s real environment, writing code, config, agent skills, and guideline files against their systems and ours
Run technical discovery: understand a customer's dev environment, toolchain, and constraints, then scope the fastest credible path to value, in addition to setting the customer up for long term success
Debug hard, unfamiliar integration problems (git workflows, CI, dev-environment setup, non-standard stacks)
Build LLM-powered workflows: MCP setup, agent skills, and prompt engineering tuned to each customer’s context
Turn one-off solutions into reusable playbooks and product feedback, so patterns you solve once become self-serve or shipped product
Bring learnings on friction back to Figma's Product and Engineering teams, influence what gets built next, and often build it
We'd love to hear from you if you have:
5+ years shipping production software end-to-end, with meaningful time embedded with customers or partner teams
Excellent customer-facing communication and technical partnership skills, with the ability to build trust with senior engineers and translate customer needs into actionable product and engineering solutions
Strong engineering fundamentals and adaptability, with the ability to quickly navigate unfamiliar codebases, languages, and technical environments to deliver production-ready solutions
Hands-on experience with design systems and design-to-code workflows, including component libraries, tokens, documentation, and the tooling that connects design artifacts to production code
Proficiency in TypeScript/JavaScript or Python, including demonstrated fluency with agentic coding tools (e.g., MCP, agent orchestration). You have hands-on experience integrating APIs and SDKs, troubleshooting toolchains and CI environments, and navigating enterprise requirements such as SSO, security reviews, access controls, data residency, and compliance frameworks
Comfort owning ambiguous technical problems end to end, identifying patterns across customer engagements, and turning field learning into reusable product improvements
While it's not required, it's an added plus if you also have:
Background in forward-deployed engineering, solutions engineering, professional services, developer experience, or a similar customer-facing technical role
Familiarity with developer tools, design-to-code workflows, or AI/LLM products, including tools such as Code Connect, Storybook, Style Dictionary, or comparable technologies
Proven ability to partner cross-functionally with Sales, Customer Experience, Solutions Architecture, or related teams to deliver complex enterprise engagements
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Задачи:
— Разработка и поддержка backend-сервисов на языке Go
— Участие в проектировании архитектуры и оптимизации производительности
Требования:
— Опыт разработки на Go
— Знание принципов построения распределённых систем
— Опыт работы с базами данных
Условия:
— Релокация на Кипр (город Лимассол)
— Работа в финтех-компании
— Полный рабочий день в офисе
Компания предлагает поддержку при переезде и адаптации на новом месте.
Задачи:
- Разрабатывать архитектуру платформенного решения и программных модулей на Java/Kotlin
- Разрабатывать интеграционные приложения
- Составлять техническую документацию по разработанному программному обеспечению
- Заниматься поддержкой работы приложений, программным сопровождением проекта
Требования:
- Опыт коммерческой разработки на Java/Kotlin от 3-х лет
- Опыт работы с PostgreSQL
- Опыт с высоконагруженными приложениями
- Будет плюсом опыт в Fintech сфере
Задачи:
- Разрабатывать и поддерживать исполнительные модули (agents, controllers, orchestrators) для автоматической настройки сетевого оборудования
- Производить интеграцию с существующей инфраструктурой: SNMP, CLI, NETCONF/RESTCONF/gNMI
- Автоматизировать полный цикл «конфигурация → развёртывание → мониторинг → отклик»
- Проектировать и сопровождать хранилища состояния сети (PostgreSQL)
Требования:
- Практический опыт разработки на Python или Go (от 5 лет)
- Навыки работы с PostgreSQL
- Опыт эксплуатации операторских сетей (от 5 лет)
- Знания сетевых технологий: IP/MPLS, Ethernet, QoS
We are looking for a Software Engineer with the possibility of relocation to Slovenia or remote work within the EU.
The position is full-time in the IT sector.
No further details about tasks, requirements, or conditions are provided in the text.
We are looking for a Software Engineer with the possibility of relocation to Slovenia or remote work within the EU.
The position is full-time in the IT sector.
No further details about tasks, requirements, or conditions are provided in the text.
Задачи:
- Проектирование архитектуры решения для высокой доступности и масштабируемости
- Оптимизация производительности
- Code review
- Участие в проектировании новых фич и сервисов
Требования:
- Опыт коммерческой разработки от 3 лет и разработки на Python от 2 лет
- Понимание настройки и запуска CI/CD пайплайнов
- Экспертиза в облачной инфраструктуре
- Опыт работы с бэкендом для AI и ML
Location: New York; San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field.
The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them.
You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast.
You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't.
RESPONSIBILITIES
- Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't.
- Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps actually act on. A build isn't done until the field is using it.
- Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap.
- Ship rep-productivity workflows fast — triage asks from the field, find the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday.
- Know when to go custom — not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default.
- Think in systems, not solutions — every workflow you build has upstream and downstream implications. Anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later.
- Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day.
- Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works.
REQUIREMENTS
- 3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company
- You’ve shipped production agents on Vercel — build custom internal GTM apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts
- Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools in production, not just experimenting
- Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits
- Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes
- A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them
- Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks
- Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly
- Experience in high-growth B2B technology companies
NICE TO HAVE
- Familiarity with enrichment and data-provider ecosystems beyond Clay
- Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer
- Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)
- Experience with highly technical software sales cycles and complex GTM motions
- An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works
- Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain
- Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go
- Challenging work and exposure to a variety of ML startups.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Задачи:
- Разработка бизнес приложений;
- Решение инцидентов и проблем, переданных на третью линию поддержки;
- Выполнение задач по оптимизации программного решения, по увеличению производительности систем;
- Контроль качества кода, проведение code review;
- Формирование предложений по развитию технической части проекта;
Требования:
- Опыт разработки на Java от 5 лет;
- Знание принципов объектно-ориентированного программирования и паттернов проектирования;
- Опыт работы со Spring Boot;
- Опыт работы с PostgreSQL;
- Опыт работы с RESTful API, сервисной архитектурой;
- Умение работать в команде, высокая степень ответственности и самоорганизации.
Задачи:
— разработка и доработка AI-агентов на Python с использованием FastAPI, aiohttp, LangGraph (или аналогичных фреймворков)
— проектирование и реализация end-сервисов по оценке залога в контексте микросервисной архитектуры
— создание и поддержка процессов инференса ML-моделей, интеграция предсказаний моделей в основную инфраструктуру платформы
— анализ требований, формализация функционала, проектирование архитектуры взаимодействия агентов и сервисов.
Требования:
— опыт разработки на Python и бэкенд-сервисов (FastAPI, aiohttp или flask/aiohttp)
— опыт проектирования и запуска AI- или rule-based агентов в продуктах
— понимание принципов REST API, асинхронного программирования на Python, event-driven подходов, интеграции микросервисов.
Условия:
— комфортный современный офис рядом с м. Кутузовская проспект
— формат работы – офис/гибрид
— оформление на срочный трудовой договор в рамках проекта
— ежегодный пересмотр зарплаты, квартальная и годовая премия
— корпоративный спортзал и зоны отдыха
— более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
— программа адаптации и помощь руководителя на старте
— расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
— гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
— подписка Прайм с возможностью совместного использования на трёх близких
— вознаграждение за рекомендацию друзей в команду Сбера.
