-Разрабатывать функциональное ПО проекта на основе подробного технического задания, программировать внутреннюю логику работы и производить рефакторинг в случае необходимости. -Автоматизировать генерацию отчетов и парсинг данных.
Location: San Francisco Bay Area, California; Los Angeles, California; Berkeley; Oakland; Daly City; San Mateo; Palo Alto, California; San Jose
Workplace: remote
About us
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name.
What you’ll do
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What we look for
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What we offer
Full-time.
On-site visits to client’s facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
*No Visa
sponsorship
How we hire
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
Soft skills interview.
Offer discussion.
We’re real
A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates.
You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
Location: New Jersey; New York; Pennsylvania; Connecticut; Massachusetts
Workplace: hybrid
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production. Then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter, without the layers, politics, and long wait for impact of a firm with a hundred thousand people. 350+ builders, 100+ customers in production, led by our founders since 2010, offices across North America, LATAM, and EMEA
Why Provectus?
Frontier access. Anthropic Preferred Partner:
newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged.
You are part of the customer’s team and inside their process, not a vendor running a project alongside it. Embedded is not staff augmentation.
Autonomous
. You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy maintenance grind, not a single stack.
Craft & growth.
Build beside senior FDEs on a Claude certified team, with a real platform (talks, OSS) to grow your name.
We give you a stage:
Claude certification, conference talks, open source contributions, published work under your own name.
What you’ll do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive. You are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints, working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What we look for:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production, not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a nondeterministic system, and you can explain what you measured and why
Strong engineering fundamentals. Dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Presales experience. Credible with senior stakeholders: you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open source contributions or public writing on applied AI
What We Offer:
Full time
On site visits to client’s facilities and our office in NYC once a week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(k) matching plan
Base salary $180k to $200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
We’re real:
A person reads your application. We filter out AI generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We’d be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Cofounder & CEO
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
Soft skills interview.
Offer discussion.
JКомпания не указана
51
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• Разрабатывать новый функционал и новые сервисы: прототипировать и проектировать решения. • Рефакторить существующий функционал и устранять технический долг.
УдалённоГеография найма не уточнена
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51
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Скрытые компании и отметки о просмотре ещё не подключены.
Full-Stack разработчик с опытом более 4 лет в создании и запуске цифровых продуктов под ключ — от проектирования архитектуры и UI/UX до backend-разработки, деплоя, оптимизации производительности и SEO.
Location: New York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York
Workplace: remote
About us
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
Autonomous. You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name.
What you’ll do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What we look for:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What we offer:
Full-time.
On-site visits to client’s facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
*No Visa sponsorship
We’re real
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates.
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
Soft skills interview.
Offer discussion.
JКомпания не указана
40
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Location: Europe/Ukraine
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you:
Requirements
— Experience: 4+ years of professional experience in software engineering, where the last 2+ years was hands-on experience in the blockchain domain.
— Strong production Golang: you write and ship services in Go, and you are comfortable reading, debugging and patching upstream Go codebases.
— Blockchain Expertise: Extensive experience with Ethereum, including a deep understanding of its protocol, smart contract development, and associated technologies.
— Hands-on experience in developing, deploying, and maintaining smart contracts on EVM chains (Solidity).
— Understanding of L2s and optimistic rollup fundamentals: block derivation from L1, batch submission, state proposals, the withdrawal flow, and forced inclusion.
— Understanding of OP Stack components and architecture.
— Kubernetes and CI/CD: familiarity with Kubernetes for container orchestration and CI/CD tools for deployment automation.
— Monitoring Tools: Familiarity with monitoring tools such as Prometheus and Grafana for performance tracking.
— Cloud Platforms: Familiarity with cloud platforms (preferably AWS) and experience with containerization (Docker) is a strong plus.
Would be a plus:
— Rust at the level of reading and patching code.
— Understanding of fault proofs: dispute games, bisection, FPVM, as well as ZK-based approaches.
— Experience in conducting and successfully passing smart contract security audits.
— Experience in developing blockchain nodes, bridges, indexers, etc.
Responsibilities
— Deploy, upgrade, and operate OP Stack components.
— Set up monitoring and alerting: Prometheus, Grafana, PromQL dashboards, instrumentation of domain metrics (economic, bridge, sequencing).
— Take part in the on-call rotation, drive incident response, and write post-mortems and runbooks.
— Work with the smart contracts, security and product teams on launches, network upgrades and hard fork activations.
— Foster collaboration, knowledge sharing, and professional growth.
— Work closely with cross-functional teams to define project requirements and ensure alignment with business objectives.
— Stay updated on advancements in blockchain technology and Ethereum, and apply new features and best practices to enhance our solutions.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
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72
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🎯 Опыт разработки и внедрения комплексных мастерпланов жилых территорий, градостроительных концепций, опыт разработки мастерпланов территорий с ограниченным статусом, ЗОУИТ; 🎯 Желателен опыт работы на соответствующей позиции не менее 3-х лет;
Предстоит создавать инструменты для внутренних пользователей, разрабатывать прототипы интерфейсов и участвовать в проектировании API вместе с бэкенд-разработчиками. Среди задач также развитие существующего кода, его ревью и оптимизация производительности.
🚀 The Adventure Ahead As a founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. You will work hand-in-hand with our most forward-thinking, strategic customers to transform complex L&D workflows into autonomous, high-impact AI agents.
Задачи:
— Участвовать в разработке клиентских приложений;
— Помогать тестировщикам в локализации ошибок;
— Проводить code-review;
— Разрабатывать unit-тесты.
Требования:
— Опыт разработки на Kotlin для Android более трёх лет;
— Опыт работы с Kotlin Multiplatfrom (KMP) обязателен;
— Опыт разработки BDUI;
— Умение проектировать клиент-серверное взаимодействие;
— Знание классических алгоритмов и структур данных;
— Умение разбираться в чужом коде и не бояться его.
Условия:
— Официальное оформление с белой зарплатой, ежеквартальные премии по результатам работы;
— Возможность работать удалённо или в гибридном формате;
— Широкий пакет ДМС (включая выезд за рубеж и стоматологию), страхование жизни и здоровья;
— Возможность учиться и развиваться за счёт компании: внешние тренинги и семинары, участие в конференциях, программы развития цифровых и управленческих навыков, корпоративный университет, школа наставников и многое другое;
— Программы мотивации для спикеров и авторов: внутренняя школа Speak Up School, Write Up, ачивки и баллы за выступления, подготовка спикеров к конференциям, сообщество авторов на Хабре;
— Обмен опытом через 12 технических комьюнити от java до devops;
— Яркая корпоративная жизнь с мероприятиями, конкурсами, творческими возможностями: митапы, демо-дни, открытые микрофоны, день IT-специалиста, волонтерство, корпоративное предпринимательство X5 Idea Challenge;
— Забота о благополучии сотрудников: 7 спортивных сообществ (бег, футбол, волейбол, баскетбол, хоккей, лыжи, триатлон), ежегодная Неделя здоровья;
— Скидки в экосистеме бизнесов Х5 («Пятёрочка», «Перекрёсток», «Много лосося», «Перекресток Впрок»);
— Программа привилегий Prime-zone (скидки на товары и услуги и специальные предложения от компаний-партнёров);
— Материальная помощь сотрудникам, попавшим в сложную жизненную ситуацию.
Опыт с Битрикс24 (коробка/облако)-от администрирования до разработки. Сильные бизнес-аналитические навыки: проведение интервью с заказчиками, выявление потребностей, описание AS IS / TO BE и подготовка ТЗ.
УдалённоseniorГеография найма не уточнена
УдалённоSan Francisco Bay Area, California; Los Angeles, California; Berkeley; Oakland; Daly City; San Mateo; Palo Alto, California; San Jose
ГибридNew Jersey; New York; Pennsylvania; Connecticut; Massachusetts
УдалённоNew York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York