Вакансии

Задачи: — Владеть процессом доставки фич: от технической проработки до выхода в production — Работать совместно с Product и бизнесом над приоритизацией и поиском оптимальных решений — Повышать скорость и предсказуемость разработки: сокращать time-to-market, улучшать процессы delivery — Принимать архитектурные и инженерные решения, которые помогают продукту масштабироваться — Проектировать и развивать backend-архитектуру, API и интеграции — Участвовать в сложных технических решениях и помогать команде находить эффективные компромиссы — Планировать работу команды, декомпозировать задачи и помогать достигать целей спринтов, проводить code review — Использовать современные AI-инструменты для ускорения разработки и повышения качества — Внедрять практики эффективного использования AI в инженерных процессах команды Требования: — 2+ года опыта в роли Tech Lead / Team Lead (приоритет) — 3+ года коммерческой разработки на Python — Опыт управления инженерной командой и ответственности за delivery — Понимание современных backend-архитектур: микросервисы, REST, очереди, кеширование — Опыт работы с PostgreSQL — Практический опыт работы с Docker и Kubernetes — Понимание CI/CD и современных подходов к поставке ПО — Опыт использования AI-инструментов в разработке — Умение принимать технические решения с учетом бизнес-ограничений — Способность выстраивать процессы разработки и масштабировать команду Будет плюсом: — Опыт разработки на Go — Опыт работы с Kafka — Опыт работы с ClickHous — Опыт масштабирования высоконагруженных систем — Знание frontend-разработки (TypeScript/JavaScript, React/Vue/Angular) — Опыт построения DevOps/SecOps практик — Понимание LLM-инференса и интеграции AI-сервисов

TradingView — это аналитическая платформа и социальная сеть, которую используют миллионы инвесторов и трейдеров из более чем 100 стран. Мы предоставляем доступ к данным со 100+ торговых площадок по всему миру. Мы ищем iOS-разработчиков в наше мобильное направление. Задачи: — Разрабатывать и поддерживать iOS-код на Swift с фокусом на качество и архитектуру. — Реализовывать сложные экраны и поведение интерфейса с использованием UIKit, SwiftUI и CoreAnimation. — Работать с архитектурой приложения, используя подходы VIPER и MVVM. — Работать с асинхронной логикой и многопоточностью (GCD, Swift Concurrency). — Оптимизировать производительность и разбираться в сложных проблемах стабильности. — Интегрироваться с backend-API и обеспечивать корректную работу клиентской логики. — Взаимодействовать с продуктом, дизайном и QA в процессе разработки. — Участвовать в Code Review и делиться экспертизой. Требования: — 4+ лет опыта разработки iOS-приложений. — Уверенное знание Swift и практический опыт работы с UIKit и SwiftUI. — Опыт разработки сложных экранов и поддержания стабильного пользовательского опыта на разных устройствах. — Опыт оптимизации производительности приложений с точки зрения скорости и эффективности. — Хорошее понимание Clean Architecture и опыт работы с архитектурными подходами VIPER и MVVM. — Умение работать с многопоточностью с использованием GCD и Swift Concurrency. — Глубокое понимание принципов дизайна iOS-платформы и гайдлайнов пользовательского интерфейса. — Опыт работы с CoreAnimation. Будет плюсом: — Понимание алгоритмов и структур данных. Условия: — Гибридный формат работы из офиса в Тбилиси с поддержкой релокации. — Работа с профессионалами и наставниками, готовыми поддержать вас, профессиональное обучение. — Работа в сертифицированной международной компанией. — Медицинская страховка со стоматологической помощью. — Компенсация 50% занятий по английскому языку. — Компенсация 50% занятий с психологом. — Компенсация обедов. — Организация тимбилдингов и корпоративных мероприятий, митапы. — Комфортные офисы, снеки и фрукты на кухне, адаптивное рабочее пространство.

Задачи: — Разрабатывать и поддерживать интерфейсы на React, Next.js, TypeScript — Делать фичи, формы, лендинги, админки и MVP — Верстать интерфейсы по Figma с хорошим соответствием макету — Работать с API, Swagger / OpenAPI — Общаться с дизайнерами и product-менеджерами напрямую и декомпозировать задачи, давать примерную оценку сроков — Согласовывать с backend-разработчиками необходимые данные и API-контракты — Проверять то, что написал AI: читать код, запускать, тестировать, понимать логику, и вести документацию и подсказки для AI Требования: — Уверенный опыт работы с React, Next.js от 2х лет — Умение читать чужой код и разбираться в текущей архитектуре — Способность понимать, проверять и объяснить сгенерированный код ИИ — Самостоятельность и внимательность - проверка своей работы Условия: — Полная занятость — График 5/2 — Формат работы: удалённо

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. About the Role We're looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products. The role is end to end: you'll build the Agent workflows, define how we measure quality, keep them reliable in production, and shape where the product goes next. This role is for someone who has shipped LLM features to real users, stayed with them after launch, and can prove with data that their changes made things better. Job Scope: Build and own AI backend and Agent workflows - Design, build, and maintain multi-turn conversation systems, including context management, tool calling, knowledge retrieval (RAG), state management, and human handoff. Drive evaluation and continuous improvement - Define success criteria with Product, Design, and QA leads. - Turn production failures into evaluation samples and regression tests. - Measure the impact and side effects of every change before and after release. Diagnose problems across the stack - Isolate the root cause of failures: model judgment, knowledge gaps, abnormal tool responses, backend instability, or conflicting rules. - Apply the right fix for each cause rather than defaulting to prompt tweaks. Own production reliability - Handle timeouts, retries, graceful degradation, async jobs, and third-party dependency failures. - Make sure every issue is traceable through logs, every change is versioned, and every failure has a recovery path. Shape product and technical decisions - Give clear, reasoned positions on requirements, covering feasibility, cost, risk, and alternatives. - Propose better approaches and break work into phased, shippable deliverables. Communicate proactively and follow through - Share progress, blockers, ETAs, and next checkpoints without needing to be chased. - After launch, track real-world impact and leave clear documentation and handover materials. Requirements: - Production LLM/Agent experience at scale. You've built LLM or Agent features used by 10,000+ active users, and you've maintained and improved them after launch. - Strong backend engineering fundamentals. You're comfortable owning production code, APIs, data flows, and incident troubleshooting. Experience designing and implement backend services in Golang and integrate with LLMs and AI systems. - Real evaluation discipline. You've built evaluation sets, regression suites, and production monitoring, and you can explain how you confirmed an improvement was real rather than random fluctuation. - Ownership mindset. You make decisions, surface risks early, and don't consider a feature done until it's verified in production. - Web3 experience. Preferably 1 year of experience in a crypto, DeFi, or Web3 company (wallet, exchange, L1/L2 protocol, or DeFi platform strongly preferred) ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Belgrade, Serbia; Bengaluru, India; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a Solution Architect to own the solution architecture of Java services across Studio and Mosaic. The architect sets service boundaries, API and event contracts, persistence, identity, and integration patterns for authoring, governance, transformation, packaging, and delivery and stays close enough to the code to make those designs real in Micronaut services. Own solution architecture for Java services across authoring, governance, transformation, packaging, and delivery Define service boundaries and contracts for Studio and Mosaic, including assembler, resolver, LMS integration, content delivery, identity, and progress / learning-record services Design a canonical content model for modular lessons, topics, assessments, and media, and keep it stable across Java APIs and React experiences Define taxonomy and ontology services exposed through APIs so classification stays consistent across authoring, search, and delivery Architect workflows for approvals, versioning, quality gates, lineage, and audit trails Design standards-based transformation and packaging across XML, JSON, BITS, QTI, XLIFF, SCORM, xAPI, LTI, PDF, and ePub Lead integration architecture across the component CMS, taxonomy, translation management, search, publishing, and learner channels (including Canvas and Brightspace) Define AI-assisted drafting, tagging, enrichment, semantic search, and recommendation patterns, including how Java services call and govern those capabilities Establish human review checkpoints, attribution, prompt and model versioning, and traceability of AI-generated content Design identity and entitlement integration: Entra ID workforce SSO, Kong as the backend-for-frontend, JWT validation in Java services, LTI 1.3 learner federation, roles, paywalls, and secure access to published content Shape AWS runtime architecture for these services: Aurora PostgreSQL, S3 and CloudFront delivery, secrets, and container deployment Ensure end-to-end observability across authoring, classification, approval, transformation, delivery, and AI actions (OpenTelemetry, metrics, and correlated logs) Set engineering standards for OpenAPI, persistence (JPA and schema migrations), error semantics, and testability of the Java services 8+ years in solution, content, information, or enterprise architecture, with a substantial record of shipping Java services Production experience with modern Java (21+) service frameworks (Micronaut or Spring), Gradle or Maven, REST, and OpenAPI Experience with taxonomy and ontology platforms exposed through APIs Experience with translation workflows, translation memory, glossaries, and XLIFF exchange Knowledge of search and discovery architecture, including semantic search and recommendations Experience with publishing and transformation pipelines Familiarity with learning delivery standards and channels such as LTI 1.3, SCORM, xAPI, Canvas, and Brightspace Experience with API, event, workflow, and file-ingest architectures Strong cloud architecture experience on AWS (relational data, object storage, CDN, secrets, container platforms) Experience with gateway and session architecture, identity integration (OIDC/JWT, SSO, federation), and secure access patterns Familiarity with application stacks such as React front ends consuming Java services Experience integrating structured editors such as CKEditor with content models Experience with logical architecture across presentation, capability, content, integration, and infrastructure layers Hands-on Micronaut, Flyway, and PostgreSQL / Aurora Experience with Kong (or a similar API gateway) as a backend-for-frontend in front of Java APIs Experience with structured component CMS platforms and component-level content models Experience migrating legacy long-form content into modular reusable components Familiarity with xAPI learning-record stores and content analytics Knowledge of semantic standards such as SKOS or RDF Knowledge of content standards such as BITS and QTI Experience governing a canonical model across multiple vendor platforms Experience with OpenTelemetry and Prometheus-style metrics on JVM services

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and design to deliver work that scales. This is a full-time, fully remote position. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll D o Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking Fo r 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skill s Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачи: — Разрабатывать масштабируемые backend-сервисы и API. — Принимать архитектурные решения и обеспечивать высокие инженерные стандарты. — Писать production-ready код и активно использовать AI-инструменты для ускорения разработки. — Решать сложные технические задачи и повышать надежность системы. — Проводить код-ревью и поддерживать качество кода в команде. — Наставлять инженеров и повышать продуктивность команды. — Тесно сотрудничать с командами продукта, дизайна и QA. — Постоянно улучшать процессы разработки и инженерные практики. Требования: — Опыт разработки ПО 7+ лет. — Сильный коммерческий опыт с Node.js и TypeScript. — Опыт проектирования масштабируемых архитектур и распределенных систем. — Хорошее понимание PostgreSQL, Redis, REST API и асинхронных паттернов. — Опыт работы с Docker и CI/CD. — Опыт руководства инженерами и принятия технических решений. — Активный hands-on подход и желание оставаться близко к коду. — Опыт использования AI-инструментов (Cursor, GitHub Copilot, Claude Code или аналогичных) в ежедневной разработке. — Английский уровень B2/C1. Плюсом будет: — Опыт с React или Angular. — Опыт с RabbitMQ, Kubernetes и GitOps. — Опыт с Web3 или блокчейн-продуктами. — Опыт интеграции LLM API и AI возможностей в продукты. Условия: — Профессиональный рост: поддержка курсов, конференций и изучения английского (до 100% покрытия). — Баланс работы и жизни: удаленный или гибридный формат с гибким графиком в международных командах. — Оплачиваемый отпуск: до 20 дней отпуска + 8 корпоративных праздников + 5 личных дней в год. — Программы признания: структурированные оценки эффективности и командные награды. — Культура команды: выезды в международные локации (например, корпоративные апартаменты на Кипре).

Задачи: — Администрировать и поддерживать телефонию на базе Asterisk — Настраивать dialplan, SIP trunks, endpoints и маршрутизацию звонков — Подключать и управлять SIP-провайдерами — Поддерживать входящие и исходящие звонки — Интегрировать Asterisk с backend-системами через ARI / AMI и CRM — Диагностировать SIP/RTP-трафик и проблемы с качеством связи — Работать с Asterisk Realtime и MariaDB/MySQL — Управлять CDR и записями звонков — Мониторить инфраструктуру и самостоятельно устранять инциденты Требования: — 2+ года практического опыта с Asterisk — Уверенное знание SIP, VoIP, NAT, RTP, codecs — Практический опыт работы с ARI и/или AMI — Уверенное администрирование Linux — Опыт работы с MariaDB/MySQL и базовые знания SQL — Опыт с firewall, fail2ban и VoIP security — Умение самостоятельно диагностировать и решать проблемы телефонии — Будет плюсом: Redis, Nginx, monitoring tools Условия: — Полностью удалённая работа — $3000 fixed / month — График: Пн–Пт, 09:00–18:00 (UTC+3) — 1 час на обед + 3 перерыва по 15 минут — Формат работы — онлайн-офис

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are seeking an experienced Senior Technical Project Manager (TPM) to lead complex enterprise software and integration projects for customers across the EMEA region. The Senior TPM will own projects from discovery through deployment, serving as the primary bridge between enterprise customers, engineering teams, product teams, and internal stakeholders. This role requires strong technical knowledge combined with proven experience integrating software with customer enterprise systems and systems of record. The ideal candidate has 8–10+ years of relevant experience delivering technical software projects and is comfortable leading complex customer engagements involving APIs, enterprise integrations, cloud infrastructure, mobile applications, and distributed systems. This position is based in Porto, Portugal. Below are the responsibilities for the role: Lead complex enterprise software and integration projects across EMEA from discovery through deployment and post-launch support. Serve as the primary technical and delivery liaison between enterprise customers, engineering teams, Product, and other internal stakeholders. Collaborate with customers to understand business objectives, technical requirements, timelines, and success criteria. Translate customer business and technical requirements into actionable project and integration plans. Lead integrations with customer systems of record, including the exchange, reading, writing, and synchronization of business data. Coordinate development involving APIs, backend services, mobile applications, cloud infrastructure, databases, and enterprise systems. Manage project timelines, deliverables, dependencies, risks, priorities, and customer expectations across multiple concurrent initiatives. Facilitate technical and architectural discussions between customer and internal engineering teams. Lead testing, validation, release planning, and production readiness. Drive structured troubleshooting and root-cause analysis for complex customer and integration issues. Proactively identify project risks and drive mitigation and escalation plans. Provide clear project status, risk, and technical communication to customers and internal leadership. Mentor and support less experienced TPMs when appropriate. Promote best practices in project delivery, technical documentation, and cross-functional collaboration. Requirements 8–10+ years of relevant experience in technical project management, software delivery, software engineering, enterprise integrations, or related roles. Strong technical background with the ability to work directly with software engineers and customer technical teams. Proven experience integrating software with customer enterprise systems and systems of record. Experience designing or delivering integrations that read, write, and exchange data with external customer systems. Strong experience with REST APIs, integration workflows, authentication, and system-to-system communication. Experience delivering complex enterprise software projects from requirements and discovery through production deployment. Understanding of cloud environments, networking, databases, application architecture, and containerized applications. Strong troubleshooting and root-cause analysis capabilities. Strong enterprise customer-facing and stakeholder-management experience. Proven ability to independently manage complex projects, risks, dependencies, and escalations. Excellent communication, organizational, analytical, and problem-solving skills. Fluent professional English. Ability to work effectively with customers and distributed teams across the EMEA region. Based in or able to work from Porto, Portugal. The following are some nice to have requirements: Experience with ERP, WMS, CRM, MES, or similar enterprise platforms. Experience with platforms such as SAP or other business-critical enterprise systems. Experience with Java, Kotlin, TypeScript, JavaScript, React, or Android. Experience with Kubernetes and cloud-native environments. Experience with MySQL, MS SQL, OpenAPI, and API lifecycle management. Familiarity with wearable technologies, IoT integrations, frontline workforce applications, logistics, or manufacturing. Experience with DevOps practices and Agile or Scrum-based development. Bachelor’s degree in Computer Science, Engineering, or a related technical field. Additional European language proficiency. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ROLE SUMMARY Gravie is seeking a hands-on Staff Platform Engineer to do three things at once: build the golden roads and paved paths our engineering teams build on, define the north star architecture the organization moves toward, and design and deliver our AI-enabled capabilities. This is the hub role for technical direction at Gravie: long-term architectural direction and the standards that carry it converge here and radiate outward across teams. The ideal candidate combines deep distributed systems and AWS experience with real production generative AI experience, and is equally credible building a paved path teams voluntarily adopt and setting a target-state architecture the whole organization will inherit. They have established standards, reference implementations, and paved roads that engineers actually use, not just architecture documents. They will partner across Engineering, Product, Data, Security, and Infrastructure, and will work most closely with our Platform Engineering team, which is the primary vehicle for making change stick across the organization. At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower. This is a deliberately split role: roughly 40% golden roads and paved paths (hands-on, reference implementations, shared libraries, service templates, scaffolding, pipelines - a path isn't paved until a team other than yours has shipped on it), 30% north star architecture (published decisions that get adopted and enforced by tooling, not just written down), and 30% AI solutions (agent systems, retrieval and context design, evaluation, and guardrails). The mix shifts by quarter. Being the hub does not mean being the bottleneck - a good year looks like teams making more decisions on their own because direction and the paved path are clear enough to follow without asking. The role is planned and reviewed on this split, not funded out of leftover capacity; part of the job is saying out loud when the split is breaking toward a support desk. KEY RESPONSIBILITIES - Build the paved paths teams build on, including reference implementations, shared libraries, service templates, scaffolding, and pipeline templates, so the recommended way is also the easiest way. - Treat the paved road as a product with real users: measure adoption and time to first success, and fix the parts people route around. - Do the first real implementation yourself, on a real workload with a real team, not in a demo repository. - Build the distributed systems patterns the paths encode: backend services, event-driven workers, job pipelines, APIs, and relational data models. - Partner with the Platform Engineering team as the primary delivery vehicle - build paved paths with them, plan into their roadmap, and hand off sustaining ownership of what becomes shared infrastructure. - Own migration and adoption, including moving existing services onto the path and retiring what it replaces. - Stay in code review across teams and close to production incidents as primary evidence of where the path is failing. - Define and publish the target-state architecture, with clear owners and decision dates, and keep it current as the business changes. - Own the AWS foundations product and AI workloads depend on: multi-account structure and identity boundaries, network and data isolation, compute and serverless runtimes, managed data services, and tagging and cost governance. - Drive standards adoption to completion - from documents into pipelines, with adoption measured across repositories and teams. - Lead buy, build, and reuse decisions, evaluating models, frameworks, and vendors on accuracy, latency, reliability, privacy, security, and cost evidence. - Reduce surface area as deliberately as you add it - consolidate overlapping tools and standards and own the sunset path for what gets replaced. - Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services. - Design retrieval, context, and memory systems that ground AI outputs, including how sensitive data is scoped, redacted, and audited. - Develop AI-powered decision-support systems meeting the accuracy, traceability, and explainability requirements of healthcare and other regulated environments. - Build product-quality user experiences using React and TypeScript where AI capability has to become understandable and actionable. - Establish patterns for AI quality assurance - automated evaluations, regression testing, groundedness checks, and compliance guardrails - so those requirements are met by default. - Establish one standard way to build, run, evaluate, and operate AI systems. - Act as the connective point across teams: surface duplicated effort, pick up decisions with no owner, and align teams heading toward the same problem. - Drive cross-team communication - writing, demos, and working sessions - so direction and tradeoffs are understood by teams not in the room. - Build alignment where incentives differ across teams, and surface disagreement rather than resolving it quietly. - Contribute to roadmap and capacity planning so paved path, foundational, and AI work is sequenced alongside product commitments. - Work through the Platform Engineering team to effect change at organization scale rather than standing up competing surfaces. - Facilitate collaboration between engineering teams, Product, Data, Security, and Infrastructure, including running forums where cross-cutting work gets planned and unblocked. - Represent technical direction to leadership and carry business context back to engineering. - Partner with Product to shape the roadmap and translate ambiguous business problems into architecture. - Raise the engineering bar through design review, mentorship, and a working decision-record practice, and make architectural context available to both engineers and agents. - Partner with Security, Compliance, and Data on AI governance, access control, and data handling, designed in rather than retrofitted. QUALIFICATIONS - Eight or more years of software engineering experience, including time with architecture scope and an organization-wide remit, and ownership of complex systems from design through production. - Still shipping: writes and reviews code today, can open a meaningful merge request in an unfamiliar codebase within the first weeks. - Experience building internal platform capability that other teams voluntarily adopted - can name the paved path or golden road built, how many teams moved onto it, and what they routed around. - Hands-on experience building and operating production AI applications, not only prototypes, including evaluation, monitoring, failure handling, guardrails, latency, and cost control. - Deep AWS expertise across a multi-account organization: identity and permission boundaries, networking, compute and serverless runtimes, managed data services, managed model services, and cost and tagging governance. Infrastructure as code in Terraform, CDK, or both. - A track record of establishing architectural foundations where little existed - specific standards introduced, how they were adopted by teams that did not report to the candidate, and which failed and why. - Hands-on experience with agentic software development - using AI coding agents to create specs and plans, execute meaningful multi-step work, run and fix tests, validate results, and iterate while owning architecture, quality, and what ships. - Deep expertise in at least one primary area (Python or JVM backend and distributed systems, or React and TypeScript product engineering), plus ability to work across the full system. - Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows. - Strong judgment in testing, monitoring, failure handling, privacy, security, access control, and data governance, carried into a regulated or audited environment. - Experience working with or inside a platform or infrastructure team as the delivery vehicle for organization-wide change, including how ownership was divided and how a parallel platform was avoided. - Experience serving as a central technical point across multiple teams, with evidence of making those teams faster rather than becoming their approval gate. - Demonstrated ability to create alignment across disagreeing teams, and to contribute to roadmap and capacity planning so foundational work is actually scheduled. - Clear written communication and effective collaboration across technical and non-technical teams; influence without authority is the primary tool of this role. PREFERRED QUALIFICATIONS - Healthcare, health insurance, or benefits administration, including ICHRA, claims, eligibility and enrollment, or interoperability standards such as EDI and FHIR. - Previous experience in a venture-backed high growth company. - Internal developer platform or developer experience work, including golden path or paved road programs and adoption measurement. - Experience with GitLab CI at scale, including shared and templated pipelines. - Production observability and LLM observability practice, including Datadog. - Event-driven and streaming architecture, such as Kafka or Flink. - Practical experience with agent tooling and standards such as Claude Code, the Model Context Protocol, and agent SDKs. - Experience defining an AI governance or technology radar process alongside a security or compliance partner. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Задачи: — Разрабатывать и сопровождать фронтальную часть новой системы на базе React 18/19 и TypeScript — Проектировать архитектуру клиентского приложения с нуля: выделять переиспользуемые компоненты, модули и слои приложения, закладывая основу для долгосрочного развития — Реализовывать сложные пользовательские интерфейсы, включая динамические формы, дашборды и панели управления — Разрабатывать систему маршрутизации с использованием React Router, обеспечивающую навигацию по разделам новой системы — Создавать с нуля UI-компоненты и, при необходимости, адаптировать корпоративный UI Kit — Писать unit-тесты и интеграционные тесты для критически важных бизнес-сценариев с использованием Jest и React Testing Library — Влиять на технический стек и стандарты разработки, так как система создаётся с нуля и не имеет унаследованного кода (легаси) — Развивать проект с самых ранних этапов, закладывая архитектурные принципы и неся ответственность за качество реализованных решений — Проводить code review и участвовать в принятии архитектурных решений Требования: — 4+ года коммерческого опыта с React 18/19 — Уверенный TypeScript: generics, utility types, типизация сложных бизнес-сущностей — Redux Toolkit + RTK Query, понимание server/client state, кеширования и инвалидации — React Hook Form + Yup/Zod, опыт разработки сложных и динамических форм — React Router — Jest + React Testing Library, умение писать тесты на бизнес-сценарии — CSS Modules, Git — Умение писать поддерживаемый код, участвовать в Code Review и работать в команде — Опыт разработки сложных интерфейсов с нуля — Понимание архитектуры крупных frontend-приложений Будет плюсом: — Опыт с корпоративными UI Kit'ами — Conventional Commits — Опыт разработки CRM / CMS / админок — Опыт работы со сложными таблицами, фильтрами и CRUD-интерфейсами — Опыт работы с несколькими API / backend-системами

Требования: — Общий опыт работы от 6 лет. — Опыт работы системным аналитиком от 3 лет. — Опыт разработки систем промышленного уровня от 1 года: backend биллинговых систем, CRM, банковских back-office систем и т.п. — Практический опыт работы с микросервисной архитектурой, включая самостоятельное проектирование нескольких сервисов. — Опыт проектирования моделей данных. — Уверенное владение SQL, способность составлять сложные запросы для анализа состояния системы и данных. — Опыт подготовки технической документации: ТЗ, спецификаций, функциональных и бизнес-требований. — Знание HTTP, REST, JSON, XML, XSD. — Опыт разработки схем валидации XSD, желательно также опыт написания XSLT. — Понимание принципов построения межсервисных взаимодействий. — Опыт постановки задач разработчикам и приёмки результатов. — Хорошее понимание полного жизненного цикла разработки ПО. Будет плюсом: — Высшее математическое, техническое или финансовое образование. — Знание принципов работы финансовых рынков. — Опыт работы с протоколами FIX, FAST. — Опыт создания пользовательских интерфейсов. — Опыт работы по методологиям Agile / Scrum. — Знание и практический опыт работы с Jira и Confluence. Задачи: — Проектировать и описывать компоненты систем: микросервисы; объекты баз данных (сущности, индексы, агрегаты); интеграции через API и брокеры сообщений. — Проектировать и описывать сложные последовательности обработки бизнес-объектов: процессинг договоров, сделок и т.д. — Подготавливать детальные функциональные и системные требования к разработке. — Разрабатывать и документировать тест-кейсы. — Проактивно взаимодействовать с бизнес-заказчиками и смежными командами для уточнения требований. — Работать в тесной связке с разработчиками, архитекторами и тестировщиками. — Участвовать в постановке задач, сопровождении разработки и приёмке реализованного функционала. — Отвечать за корректность и работоспособность реализованного функционала.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Bookings team, reporting to the Director of OTA Platform. You’ll work closely with engineering, operational, finance, and customer service leaders to define and deliver the long-term product vision for Bookings, defining the shared workflows, backend capabilities, and data foundations that power internal operators, customer experiences, and future channels. Together, the team will focus on making holiday commerce scalable after checkout by automating routine post-order tasks, ensuring trusted data accuracy, and creating reusable capabilities across products and channels. Bookings sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Define and deliver the strategic roadmap, outcomes, and metrics for post-order platform capabilities in close partnership with Engineering, Finance, and Operations. - Build flexible, scalable backend capabilities, APIs, and shared workflows for bookings, amendments, financial operations, and customer contact handling. - Improve data accuracy and availability across order, booking, margin, and cost data to create reliable foundations for all internal and external consumers. - Drive operational efficiency by using data, AI, and smart automation to reduce routine manual work and simplify post-order exception handling. - Work closely with Engineering on technical strategy, including service boundaries, event/data models, observability, and migration from legacy systems. - Use data-led decision-making to define success measures such as resolution time, cost to serve, API adoption, and reconciliation accuracy. Your skillset: - Proven record of platform product leadership owning technical, API-heavy, data-rich, or operational platform products used by multiple teams. - Strong systems thinking ability to model complex end-to-end workflows and translate business needs into extensible product capabilities. - Technical fluency across APIs, service orchestration, data models, integration contracts, and system reliability to partner closely with engineering. - Operational and customer empathy with a track record of designing smart automation that improves both user experience and cost-to-serve. - Data and financial judgment with strong experience defining metrics, evaluating performance, and making confident trade-offs under operational constraints. - Strategic execution and influential communication skills to build cross-functional alignment, write clear decision narratives, and navigate ambiguity. The interview journey: - Talent acquisition screening - 30 minutes - First stage with the hiring manager - 45 minutes - Final stage with key stakeholders, including a platform case to present - 1 hour - Behavioural and culture conversation with VP of Product - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Задачи: — Frontend: React 18 или 19 и TypeScript, современный сборщик (Vite), управление серверным состоянием (TanStack Query или аналоги), компонентные библиотеки (MUI или аналоги), архитектура крупного SPA (Feature-Sliced Design или сопоставимый подход). — Backend: Python и FastAPI либо готовность перейти на этот стек с Node.js или Go; проектирование REST API, аутентификация и управление сессиями, работа с PostgreSQL. — Потоковые интерфейсы: SSE и WebSocket, вывод ответа модели по мере генерации, отмена запроса, обработка обрывов соединения. — Проектирование интерфейсов для длительных процессов: отображение статусов шагов, хода выполнения цепочки, повторных попыток и содержательных сообщений об ошибках. — Интеграция с корпоративной аутентификацией (LDAP, SAML, SSO), реализация ролевой модели на клиенте, разграничение видимости данных. — Docker, GitLab CI, самостоятельный вывод кода в среду и его сопровождение. — Разработка чат-интерфейсов и ассистентов с потоковой генерацией ответа. — Опыт создания no-code- и low-code-конструкторов, визуальных редакторов процессов. — Работа с дизайн-системой и её поддержкой. — Обеспечение доступности интерфейса и поддержка нескольких языков (русский, казахский). — Опыт продуктовой аналитики на клиентской стороне: события, воронки, метрики использования. — Использование AI-ассистентов в собственной разработке. — Продуктовый подход к работе, интерес к фактическому пользовательскому поведению. — Готовность к короткому циклу разработки и доработкам по результатам обратной связи от пользователей. — Самостоятельность в проработке задач при отсутствии готовых макетов. — Умение согласовывать контракты API с инженерами платформы. — Внимание к состояниям интерфейса: права доступа, ошибки, загрузка, отсутствие данных. Условия: — График 5/2, гибрид с первого дня работы. — Стабильный оклад + ежегодный бонус в размере до 2 окладов. — Расширенный пакет ДМС для сотрудников. — Социальный пакет, специальные предложения от партнеров и скидки на продукты Банка. — Реальные возможности для вертикального и горизонтального карьерного роста внутри компании.

Задачи: — Разрабатывать и поддерживать автоматизированные тестовые наборы для backend-сервисов и API — Улучшать фреймворк автоматизации тестирования и сопутствующую инфраструктуру — Создавать и поддерживать внутренние инструменты и утилиты для автоматизации — Проектировать и внедрять масштабируемые решения для автоматизации тестирования — Интегрировать автоматизированное тестирование в CI/CD пайплайны — Анализировать результаты тестов, расследовать сбои и проводить корневой анализ причин — Тесно сотрудничать с разработчиками, DevOps-инженерами и продуктовыми командами для повышения качества продукта — Повышать покрытие тестами, надежность и эффективность выполнения тестов — Участвовать в код-ревью и устанавливать лучшие практики автоматизации — Вносить вклад в стратегию качества и инициативы по непрерывному улучшению — Оценивать и внедрять современные инженерные инструменты и практики, включая AI-поддержку разработки Требования: — Опыт работы в QA Automation 3+ года (Middle) или 5+ лет (Senior) — Сильные навыки программирования на Python — Опыт разработки и поддержки автоматизированных тестовых фреймворков — Глубокое понимание методологий тестирования ПО, процессов QA и техник проектирования тестов — Навыки администрирования и устранения неполадок в Linux — Практический опыт работы с Docker и контейнеризированными средами — Опыт работы с CI/CD системами (GitLab CI, Jenkins, GitHub Actions или аналогичными) — Понимание основ сетевых технологий, включая TCP/IP, DNS, HTTP/HTTPS, TLS, REST API и клиент-серверную архитектуру — Опыт тестирования API, UI и backend — Умение работать с технической документацией на английском языке — Способность эффективно использовать AI-агентов для генерации кода, отладки, разработки тестов, анализа логов и повышения продуктивности — Опыт использования LLM для ускорения создания тест-кейсов, разработки автоматизации и расследования инцидентов Условия: — Работа по трудовому договору — Конкурентная компенсация — Гибкий график и возможность гибридной или удаленной работы в зависимости от роли — Возможность работать из любой точки мира до 45 дней в году — Частная медицинская страховка для сотрудника и семьи (в зависимости от локации) — Дополнительные оплачиваемые отпускные и больничные дни (в зависимости от локации) — Поддержка важных жизненных событий и праздников — Курсы иностранных языков — Современные офисы с закусками, напитками и развлечениями (в зависимости от локации) — Командные спортивные и социальные мероприятия Примечание: Вакансия доступна только при официальном трудоустройстве (трудовом договоре).

Задачи: — Формирование и развитие product vision для сетевого плагина Evo CNI в облаке; — Управление roadmap продукта: приоритизация задач, баланс между бизнес-ценностью и техническим развитием; — Работа со стейкхолдерами (инженеры, архитекторы, смежные команды, бизнес) и сбор требований; — Формирование и проверка гипотез, работа с метриками продукта (надежность, производительность, adoption); — Ведение продукта от идеи до production: декомпозиция задач, участие в планировании, контроль delivery; — Участие в проработке архитектуры совместно с техническими лидерами (CNI, dataplane, интеграция с облачной сетью). Требования: — Опыт работы Product Owner / Product Manager от 3–5 лет (желательно в B2B / platform / cloud продуктах); — Опыт управления технически сложным продуктом (инфраструктура, платформы, backend systems); — Умение формировать product vision и стратегию развития продукта; — Опыт управления backlog и roadmap, принятия решений по приоритизации; — Навык работы с метриками и принятия решений на основе данных; — Опыт работы с инженерными командами и понимание процесса разработки.

Задачи: — Разработка production-ready AI, LLM и agent-based решений. — Управление полным циклом разработки AI: архитектура, реализация, тестирование, деплой и эксплуатация. — Интеграция компонентов на базе LLM с детерминированной логикой, Context Engineering и Harness Engineering. — Разработка Tool Calling Loops и подключение API, backend-сервисов и корпоративного ПО. Требования: — Минимум 3 года опыта создания и поддержки production AI приложений на базе LLM. — Не менее 3 лет практического опыта в Agentic Engineering, включая дизайн, реализацию, интеграцию, деплой и поддержку AI агентов. — Опыт разработки Tool Calling Loops и интеграции с API и backend. — Опыт интеграции LLM-компонентов с Context Engineering и Harness Engineering (минимум 1 год). — Знание MCP и корпоративных AI интеграций. — Опыт с RAG-решениями и разработкой LLM приложений. — Умение управлять полным циклом AI разработки. — Отличные коммуникативные навыки для взаимодействия с командами и бизнес-стейкхолдерами. — Наличие минимум 2 проектов с подтверждённым опытом коммуникации со стейкхолдерами. Дополнительные преимущества: — Знания в области AI governance, безопасности, комплаенса и защиты данных. — Опыт работы с инструментами мониторинга AI, такими как Langfuse, Arize и аналогичными. — Опыт с корпоративными AI экосистемами, AI шлюзами, управлением жизненным циклом prompt и governance моделей. — Понимание дизайна мультиагентных систем и оркестрации агентов. — Более 2 лет опыта с RAG и MCP серверами. — Знакомство с AWS и AWS Kiro. — Опыт внедрения AI guardrails и мер безопасности. — Знание CI/CD и практик автоматизированного тестирования. Условия: — Контракт до 31 декабря 2029 года с возможностью продления. — Полная занятость. — Полностью удалённая работа в пределах ЕС. — Требуемый уровень английского C1. — Старт как можно скорее.

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: Here at Neo4j, we're looking for a software engineer with deep front-end expertise to join our Graph Engine team, the team behind Virtual Graph . React will be your core strength, but this is a genuinely full-stack role: you'll also work across backend systems, cloud, and connectivity, using technologies including Java, Scala, SQL, Cypher/GQL, Go, and TypeScript (with JDBC on the JVM side and React for the UI/client side). The team builds Virtual Graph, a new Neo4j product that lets customers query data in platforms like Snowflake, Databricks, and BigQuery as a graph, without moving it. We translate Cypher into SQL, run it on the customer's platform, and return the results as a graph. The product is in public preview and heading toward general availability, so there's still plenty to build. The team owns Virtual Graph end to end, from the query engine and database connectivity to the cloud infrastructure and the UI in the Aura console. You'll play a key role in guiding the UI's technical direction and collaborating with team members. Beyond the front end, you'll contribute across the rest of the stack and learn from a team of experienced engineers. We avoid silos, and everyone works across the product. What You'll Need: We're looking for 5+ years of practical experience in: Front-end development with React, at a level where you can drive technical decisions, front-end architecture, and mentor others Building complex, data-rich web applications Working beyond the front end: you're curious and willing to pick up new languages, backend systems, and cloud technologies You will ideally have experience and/or an interest in some of: Backend development in Java, Scala, or Go (JVM experience is a plus but not required) Cloud-native development and container orchestration (e.g. Kubernetes) Cloud data platforms such as Snowflake, Databricks, or BigQuery Distributed databases or database internals Database drivers and connectivity, e.g. JDBC or HTTP-based drivers Software architecture and keeping systems maintainable as they scale #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.