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Location: Porter, Indiana About Snap! Mobile, Inc: Founded in 2014, Snap! Mobile is the creator of Snap! Raise, the nation’s largest and top-performing digital fundraising platform for high school and youth athletics and activities. Since its founding, Snap! Raise has helped over 150,000 schools, groups, and teams raise more than $1 billion . Snap! Mobile supports schools, teams, and organizations with Snap! Mobile One, an all-in-one app designed to simplify operations and enhance community engagement. Snap! Mobile One combines the power of Snap! Raise fundraising, fan and community engagement, event scheduling, registration, website management, messaging services, money management, and spirit wear to deliver everything administrators need to succeed in one easy-to-use app. Who we're looking for A well-connected, relationship-driven professional — coaches, teachers, athletic directors, or community leaders — who thrives on opening doors and closing deals. If you love the front end of sales and have a strong local network, this role was built for you. Got a day job, a coaching gig, or a packed schedule? No problem. This is designed to work around your life. This is not a remote position. Applicants must currently reside within the assigned territory to be considered. The opportunity You'll be boots on the ground, building partnerships with schools, sports teams, programs, and community organizations in your area — on your schedule. Your focus is to prospect, connect, and close — then hand off to an Account Manager who handles everything after. No backend admin, no long-term account management. Just pure relationship-driven sales with people you likely already know. Perfect as a side hustle, a part-time gig, or a way to monetize the network you've already built. What you'll do Tap into your existing local network toidentifyand engage potential partners Conduct in-person meetings, presentations, and demos — when it works for you Close new partnerships and hand off seamlessly to your Account Manager What you bring Current residency within the assigned territory (required— non-local applicants will not be considered) Strong local community ties and existing relationships Self-starter mentality with solid communication skills Comfort in a 100% commission, performance-driven environment Reliable transportation and a valid driver's license Ability to pass a background check, including driving record What you'll earn Uncapped commission — no ceiling on your earnings, no matter how many hours you put in The details Flexible contract (1099) — make your own schedule; designed to work as a side hustle or part-time gig One-quarterinitialcommitment with opportunity to extend No base salary, benefits, or paid leave CA Residents click here for privacy policy We use E-verify to onboard new hires. Please click here to learn more.

Задачи: — Управление полным жизненным циклом разработки функциональных возможностей: от брифинга и декомпозиции до релиза и анализа результатов. — Аудит существующих процессов и их оптимизация. — Разработка процессов с учетом специфики команды и продукта. — Организация рабочего пространства в системах Jira или ClickUp. — Настройка проектов, досок, статусов, рабочих потоков (workflow), шаблонов и дашбордов. — Подготовка документации, пользовательских сценариев, контрольных списков и блок-схем. — Самостоятельное формирование и заполнение задач для кросс-функциональных команд. — Декомпозиция функциональных возможностей на задачи для команд Frontend, Backend, QA, DevOps и дизайна. — Определение зависимостей между задачами, командами и этапами разработки. — Оценка трудозатрат в часах совместно с командами. — Планирование сроков и контроль загрузки команды. — Управление бэклогом и приоритизация задач в сотрудничестве с продуктовыми менеджерами и лидерами команд. — Контроль статусов, сроков, рисков и блокирующих факторов. — Проведение планирований, грумингов, ретроспектив и других командных встреч. — Организация и сопровождение плановых релизов, релизов нового функционала и экстренных исправлений (hotfix). — Подготовка релизных контрольных списков и контроль готовности всех участников. — Настройка автоматизаций внутри Jira или ClickUp. — Настройка интеграций между системами отслеживания задач, Slack, GitHub или GitLab. — Внедрение нейросетей для создания, заполнения и актуализации задач. — Автоматизация проектных процессов с использованием нейросетей. — Поддержание актуальности документации и процессов. — Подготовка регулярных отчетов о статусе для команды и стейкхолдеров. — Трансформация бизнес-требований в понятные задачи, пользовательские истории (user stories) и критерии приемки (acceptance criteria). Требования: — Опыт работы в должности Project Manager или Delivery Manager не менее 4 лет. — Опыт управления кросс-функциональными командами. — Опыт ведения проектов с участием команд Frontend, Backend, QA, DevOps и дизайна. — Уверенное владение системами Jira и Confluence или ClickUp. — Опыт настройки и реорганизации процессов в системах отслеживания задач. — Опыт создания рабочих потоков, шаблонов, дашбордов и автоматизаций. — Опыт настройки интеграций между системами отслеживания задач, Slack, GitHub или GitLab. — Практический опыт автоматизации рабочих процессов с помощью нейросетей. — Навыки использования нейросетей для создания и заполнения задач, генерации критериев приемки, декомпозиции функциональных возможностей и актуализации документации. — Способность самостоятельно выявлять и внедрять сценарии применения искусственного интеллекта для сокращения объема рутинных операций. — Умение самостоятельно формировать полные и понятные технические задания. — Навыки декомпозиции крупных функциональных возможностей и управления зависимостями. — Опыт оценки трудозатрат и планирования загрузки команды. — Опыт организации и сопровождения релизов. — Понимание жизненного цикла разработки цифровых продуктов. — Понимание принципов CI/CD, процесса code review и работы с техническим долгом. — Знание методологий Scrum, Kanban или Scrumban и умение адаптировать процессы под специфику команды. — Базовые навыки работы с Figma. — Базовое понимание SQL и инструментов мониторинга, включая Grafana или Kibana. — Понимание особенностей Telegram Mini Apps, WebView и TMA SDK. — Умение выявлять риски и блокирующие факторы до начала этапа разработки. — Навыки фасилитации встреч и фиксации договоренностей. — Понимание взаимосвязи между трудозатратами, ресурсами и бюджетом проекта. — Системное мышление, самостоятельность и внимательность к деталям.

Задачи: — Управление полным жизненным циклом разработки функциональных возможностей: от брифинга и декомпозиции до релиза и анализа результатов. — Аудит существующих процессов и их оптимизация. — Разработка процессов с учетом специфики команды и продукта. — Организация рабочего пространства в системах Jira или ClickUp. — Настройка проектов, досок, статусов, рабочих потоков (workflow), шаблонов и дашбордов. — Подготовка документации, пользовательских сценариев, контрольных списков и блок-схем. — Самостоятельное формирование и заполнение задач для кросс-функциональных команд. — Декомпозиция функциональных возможностей на задачи для команд Frontend, Backend, QA, DevOps и дизайна. — Определение зависимостей между задачами, командами и этапами разработки. — Оценка трудозатрат в часах совместно с командами. — Планирование сроков и контроль загрузки команды. — Управление бэклогом и приоритизация задач в сотрудничестве с продуктовыми менеджерами и лидерами команд. — Контроль статусов, сроков, рисков и блокирующих факторов. — Проведение планирований, грумингов, ретроспектив и других командных встреч. — Организация и сопровождение плановых релизов, релизов нового функционала и экстренных исправлений (hotfix). — Подготовка релизных контрольных списков и контроль готовности всех участников. — Настройка автоматизаций внутри Jira или ClickUp. — Настройка интеграций между системами отслеживания задач, Slack, GitHub или GitLab. — Внедрение нейросетей для создания, заполнения и актуализации задач. — Автоматизация проектных процессов с использованием нейросетей. — Поддержание актуальности документации и процессов. — Подготовка регулярных отчетов о статусе для команды и стейкхолдеров. — Трансформация бизнес-требований в понятные задачи, пользовательские истории (user stories) и критерии приемки (acceptance criteria). Требования: — Опыт работы в должности Project Manager или Delivery Manager не менее 4 лет. — Опыт управления кросс-функциональными командами. — Опыт ведения проектов с участием команд Frontend, Backend, QA, DevOps и дизайна. — Уверенное владение системами Jira и Confluence или ClickUp. — Опыт настройки и реорганизации процессов в системах отслеживания задач. — Опыт создания рабочих потоков, шаблонов, дашбордов и автоматизаций. — Опыт настройки интеграций между системами отслеживания задач, Slack, GitHub или GitLab. — Практический опыт автоматизации рабочих процессов с помощью нейросетей. — Навыки использования нейросетей для создания и заполнения задач, генерации критериев приемки, декомпозиции функциональных возможностей и актуализации документации. — Способность самостоятельно выявлять и внедрять сценарии применения искусственного интеллекта для сокращения объема рутинных операций. — Умение самостоятельно формировать полные и понятные технические задания. — Навыки декомпозиции крупных функциональных возможностей и управления зависимостями. — Опыт оценки трудозатрат и планирования загрузки команды. — Опыт организации и сопровождения релизов. — Понимание жизненного цикла разработки цифровых продуктов. — Понимание принципов CI/CD, процесса code review и работы с техническим долгом. — Знание методологий Scrum, Kanban или Scrumban и умение адаптировать процессы под специфику команды. — Базовые навыки работы с Figma. — Базовое понимание SQL и инструментов мониторинга, включая Grafana или Kibana. — Понимание особенностей Telegram Mini Apps, WebView и TMA SDK. — Умение выявлять риски и блокирующие факторы до начала этапа разработки. — Навыки фасилитации встреч и фиксации договоренностей. — Понимание взаимосвязи между трудозатратами, ресурсами и бюджетом проекта. — Системное мышление, самостоятельность и внимательность к деталям.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Release Engineer (SRE) to join our Release Engineering team (part of EngOps) — a production-operations expert who brings an SRE mindset to how Supabase ships and runs, making deploys safe, observable, and recoverable at scale. Release Engineering's scope has grown well beyond build-and-ship: we increasingly own the operational reliability of the systems that deploy and run Supabase. In this role you'll treat our deployment pipelines, pre-production signal, and the control plane itself as production systems — with SLOs, error budgets, and on-call ownership — and you'll be the person teams lean on when reliability is on the line. This is not a "gatekeeper" role. You'll make the reliable path the easy path: standardising how we deploy, instrumenting what we ship, and ensuring that when something breaks, we detect it quickly and recover quickly. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Own the reliability of Supabase's deployment and release systems, and the control plane they run on, against clear SLOs and error budgets - Turn pre-production into a trustworthy signal — standardizing and instrumenting today's fragmented, ad-hoc deployment workflows - Drive disaster-recovery readiness, including making environments reproducibly deployable from scratch (untangling undocumented secrets, unclear configuration ownership, and circular service dependencies) - Build and operate health and SLO monitoring for critical user flows, using synthetic testing to catch regressions before customers do - Reduce mean-time-to-detect and mean-time-to-recover for deploy-related incidents — which account for a large share of our incident load - Participate in on-call, lead blameless postmortems, and turn findings into runbooks, alerting, and automation that remove toil - Improve deployment observability and auditability — a clear record of what shipped where, when, and by whom - Document operational procedures — break-glass paths, access models, and runbooks — so reliability knowledge isn't tribal RELIABILITY & OPERATIONS - Define and track SLAs, SLOs, error budgets, and DORA delivery metrics — with meaningful alerting over noise - Ensure deployments fail fast and safely when health checks degrade - Harden access and break-glass workflows (e.g. scoped self-service) so the right people can act in an incident without unsafe workarounds - Partner with product engineering and platform teams to align release practices with reliability and availability targets YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years in SRE, production operations, platform engineering, or release engineering - Have operated production systems at scale and carried on-call for them - Are fluent in SLAs, SLOs, error budgets, DORA metrics, and operational KPIs — and the observability tooling behind them (Prometheus, Grafana, Alertmanager, or similar) - Have led incident response with tooling like incident.io http://incident.io (or PagerDuty / Opsgenie), run blameless postmortems, and driven down MTTD/MTTR - Operate confidently on AWS (multiple accounts, IAM, VPC) in production - Are comfortable with infrastructure-as-code (Pulumi, Terraform) and Kubernetes - Script and automate to eliminate toil rather than absorb it - Communicate clearly with both infrastructure specialists and product engineers - Thrive in async, globally distributed teams - Are comfortable navigating ambiguity and iterating toward better systems over time WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Москва HR-платформа Сбера "Пульс" ищет Java/Kotlin лида разработки. Обязанности * Разработка и поддержка backend-сервисов на Kotlin/Java в рамках текущего стека (Spring Boot 3, Exposed, PostgreSQL, Kafka, K8s) * End-to-end владение бэкендом: от обсуждения требований с системным аналитиком до выката в продакшен и последующей эксплуатации * Проектирование схем БД, миграций, доменных моделей и контрактов API * Реализация интеграций через Kafka и REST с внешними и внутренними системами с учётом отказоустойчивости и идемпотентности * Настройка деплоя и эксплуатации сервисов в Kubernetes (манифесты/Helm, конфиги, секреты), участие в CI/CD-пайплайне * Покрытие кода юнит- и интеграционными тестами (Testcontainers), совместная работа с тестировщиком над сценариями и приёмкой * Совместная работа с системным аналитиком: уточнение требований, валидация постановок на реализуемость, влияние на декомпозицию * Контроль качества и техдолга на бэкенде: code style, ревью собственных решений, рефакторинг, документация * Участие в инцидент-менеджменте: разбор проблем на проде, дежурство в разумных пределах, постмортемы * Технологические решения по стеку и архитектуре бэкенда — самостоятельно, согласовывая ключевые с тимлидом/архитектором * Соблюдение требований домена: безопасность данных, аудит операций, корректность денежных расчётов Требования * 5+ лет коммерческой разработки бэкенда на JVM, из них значимый опыт на Kotlin (желательно Kotlin 2) и/или современной Java (17+, опыт с Java 21 — плюс) * Глубокое знание Spring Boot 3, включая Spring Data, Spring Security, конфигурацию, тестирование (Spring Test, Testcontainers) * Уверенная работа с PostgreSQL: проектирование схем, индексы, оптимизация запросов, объяснение планов, миграции (Flyway/Liquibase), понимание уровней изоляции и транзакций * Опыт с Kotlin Exposed (или готовность быстро перейти с JPA/Hibernate/jOOQ) * Практический опыт с Apache Kafka: продюсеры/консюмеры, партиционирование, гарантии доставки, идемпотентность, обработка ошибок и DLQ * Опыт эксплуатации сервисов в Kubernetes: написание манифестов/Helm-чартов, конфигурация ресурсов, health/readiness probes, понимание сетевой модели, секретов, графика выкатки * Уверенный CI/CD: GitLab CI / GitHub Actions / Jenkins, сборка артефактов, контейнеризация (Docker), автоматические тесты в пайплайне * Понимание архитектурных паттернов: чистая/гексагональная архитектура, DDD-подход к моделированию домена, идемпотентность, транзакционные паттерны (outbox, saga), eventual consistency * Опыт проектирования и сопровождения REST API (OpenAPI/Swagger), понимание контрактного подхода * Самостоятельность и продуктовое мышление: умение декомпозировать задачу из бизнес-постановки в технические шаги, принимать архитектурные решения и нести за них ответственность * Внимание к надёжности: метрики, логирование, трейсинг (Prometheus/Grafana/OpenTelemetry или аналоги), умение разбирать инциденты в проде * Опыт работы в FinTech или другом домене с высокими требованиями к корректности денежных операций, аудиту и безопасности — сильное преимущество * Английский на уровне чтения технической документации Будет плюсом *   Опыт работы единственным бэкендером в команде или в условиях высокой автономии * Знание coroutines в Kotlin, опыт реактивного программирования (WebFlux, Reactor) * Опыт с распределёнными транзакциями, saga, transactional outbox в продакшене * Опыт с инфраструктурой как код (Terraform/Helmfile/ArgoCD) Условия * Инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти; * Среда для обмена знаниями – высокая экспертиза внутри команды; * Сплоченная команда, работающая над общими задачами и умеющая хорошо отдыхать; * Нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам * Стабильная заработная плата и годовой бонус; * Гибридный формат работы. Современный IT-офис вблизи Москва-Сити в пяти минутах от метро "Кутузовская", с фитнес залом; * Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития;  * 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 использования трёх близких; * Вознаграждение за рекомендацию друзей в команду Сбера.

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Technical Lead, Machine Learning to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance. Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost. Key Responsibilities Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment. Fine-tune and optimize models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation . Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies. Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products. Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization. Requirements Proven experience building and deploying production-grade machine learning systems used by real users. Strong expertise working with large language models and understanding model behavior, limitations, and failure modes. Experience developing scalable ML infrastructure, training pipelines, and inference systems. Strong software engineering skills with the ability to write maintainable, production-quality code. Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety. Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment. Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Principal Machine Learning Engineer to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure. Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints. Key Responsibilities Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment. Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation. Design and operate scalable inference systems while balancing latency, cost, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies. Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications. Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety. Requirements Strong background in deep learning and transformer-based architectures. Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production. Proficiency with modern machine learning frameworks such as PyTorch or JAX . Experience with distributed training and inference frameworks, including technologies such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray . Strong software engineering skills with experience building robust, maintainable, production-grade systems. Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision. Ability to independently own end-to-end machine learning systems in fast-moving environments. Strong problem-solving skills with a focus on rapid iteration and continuous improvement. Preferred Qualifications Experience with one or more of the following is preferred: LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer Open-source contributions to machine learning or systems libraries Scientific computing, compiler technologies, or GPU kernel development Reinforcement Learning from Human Feedback (RLHF) pipelines, including PPO, DPO, or ORPO Training or deploying multimodal or diffusion models Large-scale data processing frameworks such as Apache Arrow, Spark, or Ray

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an iOS Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade iOS applications where AI interactions are central to the user experience, ensuring performance, reliability, and user trust across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable iOS applications that integrate advanced AI capabilities while maintaining a seamless and intuitive user experience. Key Responsibilities Build and maintain production iOS applications using Swift and SwiftUI . Integrate AI-powered features through backend APIs. Design user experiences for AI interactions, including loading states, streaming responses, retries, and fallback mechanisms. Optimize application performance, memory usage, and battery efficiency. Implement user feedback and analytics mechanisms to support AI evaluation and continuous product improvement. Collaborate closely with backend and machine learning engineers on API design and system behavior. Maintain high standards of application quality, stability, and reliability for App Store releases. Requirements Minimum 3 years of iOS development experience using Swift. Hands-on experience integrating AI-powered features into mobile applications. Strong understanding of async/await , concurrency, and background task management. Solid experience optimizing iOS application performance, memory usage, and responsiveness. Experience developing, releasing, and maintaining production iOS applications. Familiarity with designing applications that operate reliably under latency, partial failures, and non-deterministic AI behavior. Exposure to CoreML or lightweight on-device machine learning is an advantage. Familiarity with feature flags or remote configuration systems is preferred. Strong understanding of user experience design for AI-powered applications, with an emphasis on usability and user trust. Preferred Technical Skills Experience with the following technologies is preferred: Swift SwiftUI Swift Package Manager (SPM) SQL and NoSQL databases TensorFlow Lite (on-device inference)

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is looking for a Full Stack Engineer – AI Systems to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric. Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications. Key Responsibilities Build end-to-end product features across frontend, backend, and AI integrations. Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps. Integrate LLMs, memory systems, and external tools into scalable, production-grade applications. Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance. Improve system reliability, observability, and fallback mechanisms for AI-powered features. Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production. Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage. Requirements Strong experience in full stack software engineering across frontend and backend development. Solid understanding of system design, scalable architecture, and API development. Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies. Ability to work effectively in fast-paced environments with evolving requirements. Strong ownership mindset with experience delivering features from ideation through production deployment. Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations. Preferred Technical Skills Experience with some or all of the following technologies is preferred: Next.js Python Node.js PyTorch OpenAI, Anthropic, or open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an Android Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade Android applications where AI is at the core of the user experience, ensuring performance, reliability, and usability across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable Android applications that integrate advanced AI capabilities while maintaining a seamless user experience. Key Responsibilities Build and maintain production Android applications using Kotlin . Integrate AI-powered features such as chat, vision, voice, and recommendation systems through backend APIs. Design intuitive user experiences for AI interactions, including streaming responses, retries, and partial results. Optimize application performance, memory usage, and responsiveness for AI-intensive workflows. Implement analytics, logging, and user feedback mechanisms to support continuous AI evaluation and product improvement. Collaborate closely with backend and machine learning engineers to define API integrations and system behavior. Ensure application stability, security, and scalability within production environments. Requirements Minimum 3 years of Android application development experience using Kotlin. Hands-on experience integrating AI-powered features, such as Large Language Models (LLMs), computer vision, or speech APIs. Strong understanding of asynchronous programming using Coroutines and Flow . Experience working with RESTful or gRPC APIs and structured data formats. Strong debugging, troubleshooting, and performance profiling skills. Experience developing applications that operate reliably under conditions involving latency, partial failures, and non-deterministic behavior. Familiarity with ML Kit or lightweight on-device inference is an advantage. Experience publishing and maintaining production applications on the Google Play Store . Preferred Technical Skills Experience with the following technologies is preferred: Kotlin / Java SQL and NoSQL databases TensorFlow Lite (on-device inference)

Компания: Продуктовая IT-компания с офисом в Бостоне, США. Сервис помогает быстрее находить, оценивать и продвигать коммерческую недвижимость с помощью AI и глубокой аналитики рынка. Решение для брокеров, инвесторов и собственников, которым нужны актуальные листинги, точные инсайты и более быстрые решения по сделкам. Почему это интересно: — Продукт с реальной ценностью: Big Data + AI — Сильная команда инженеров и продуктовых специалистов — Минимум бюрократии, быстрые решения — Влияние на архитектуру и финальный продукт — Удаленная работа — Бонусы и stock options — Возможность релокации / стажировки в США — Время и ресурсы на рефакторинг и улучшения — Внутренние QA — разработчики не остаются один на один с качеством Задачи: — Разработка и развитие backend-компонентов продукта — Архитектурное проектирование и развитие серверной части системы — Руководство командой backend-разработки — Проведение code review, контроль качества кода и соблюдения инженерных стандартов — Участие в оценке задач, планировании спринтов и управлении техническим долгом — Проработка и внедрение решений по повышению производительности, стабильности и масштабируемости системы — Участие в проектировании и реализации новых функциональных модулей — Подготовка и актуализация технической документации — Взаимодействие с product-командой, дизайнерами и смежными техническими ролями — Наставничество разработчиков, участие в найме и онбординге — Внедрение и использование AI-агентов в продуктовых и внутренних процессах — Оценка, внедрение и масштабирование AI-решений — Обеспечение наблюдаемости, надёжности и управляемости AI-сервисов Требования: — Опыт в коммерческой разработке от 7 лет — Практическое использование AI агентов в процессах разработки от 1,5 лет — Опыт работы на каждом месте не менее 2,5 лет — Опыт управления командой от 3 лет — Английский не ниже В1 — Высшее техническое образование строго из списка ВУЗов: МФТИ, МГУ, НИУ ВШЭ, НИЯУ МИФИ, МГТУ имени Н. Э. Баумана, РУДН, МАИ, «МИСИС», ИТМО, СПбГУ, «ЛЭТИ», СПбПУ Петра Великого, УрФУ, Иннополис, ЮФУ, ТПУ, КФУ, НГУ, ТГУ, СФУ, Белорусский государственный университет, Белорусский национальный технический университет, Белорусский государственный технологический университет, БГУИР, КНУ им. Тараса Шевченко, КПИ им. Игоря Сикорского, ХПИ (Харьковский политех). Технологии: — PHP 8.x — MySQL / PostgreSQL — Redis — Elasticsearch — SQL — Linux — Git Будет преимуществом опыт работы с: — RabbitMQ — Go — Python — FastAPI — SQLAlchemy — Celery Условия: — График работы 5/2, оплачиваемый отпуск — Дистанционный формат работы из любой точки мира — Отсутствие бюрократии и микроменеджмента - ориентируются на результат

Задачи: — Разрабатывать новые mini apps и продуктовые модули для trading web-платформы с экосистемой mini apps (tournaments, challenges, loyalty, achievements, education и другие engagement-механики); — Создавать frontend на React + TypeScript; — Разрабатывать backend на Python (FastAPI / Django); — Интегрировать frontend с API, торговыми и аналитическими сервисами; — Проектировать архитектуру, участвовать в code review и технической декомпозиции; — Использовать AI-инструменты (Cursor, Claude Code, Codex) для ускорения разработки с обязательной проверкой качества кода. Требования: — Коммерческий опыт с React, TypeScript и Python; — Опыт разработки на FastAPI и/или Django; — Опыт работы с PostgreSQL/MySQL, Redis и REST API; — Понимание архитектуры SPA, Docker и CI/CD; — Опыт написания тестов и проведения code review; — Умение писать безопасный, масштабируемый и поддерживаемый код. Будет плюсом: — Опыт в fintech, trading, betting, gaming или iGaming; — Опыт с WebSocket, Kafka, event-driven архитектурой; — Знание Kubernetes, OpenAPI, BFF; — Понимание OWASP и принципов безопасной разработки. Условия: — Современный стек (React, TypeScript, FastAPI, Django, PostgreSQL, Redis, Docker); — Работа над высоконагруженным продуктом с real-time механиками; — Сильная продуктовая команда и обязательное code review; — Возможность влиять на архитектуру и развитие платформы; — В первую очередь рассматриваются кандидаты, которые уже находятся на Кипре.

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 If the idea of contributing to the critical and core services that drive the fundamental functioning and building blocks of data processing involved in our data pipelines, this opportunity fits you well. As an engineer on the core team, you will design,  implement, and maintain the central parts of our data pipelines needed to operate the best-in-class reliable, secure, and scalable data movement.  You will prioritize the quality, efficiency, and reliability of the responsibility areas of the team while collaborating effectively with other peers and the rest of the engineering organization. The ideal candidate exhibits exceptional technical skills, meticulous attention to detail, creativity, motivation, and a results-oriented mindset. This is a full-time hybrid position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java17, JUnit5 Docker and Kubernetes AWS, GCP, Azure SQL, BigQuery Bazel, BuildKite What You’ll Do Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud Develop, maintain, and test code Conduct design and code reviews Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability. Understand and fix challenges related to performance and scalability. Participate periodically in on-call rotation Participate in the hiring process Mentor Junior developers Make Fivetran the most reliable and secure component of our customers’ data infrastructure Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems. Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices. Experience working with distributed systems Demonstrated ability to write well-structured and performant code Ability to lead software design to satisfy project requirements Experience in code reviews, design, troubleshooting and testing Experience programming in an object oriented / systems language such as Java, C++, C# etc Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s Experience interacting with continuous integration tools like Buidkite Bonus Skills​ Knowledge of observability tools like New Relic/Grafana is a plus Knowledge of AI tools and usage is a plus #LI-HYBRID #LI-EM1 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.

Location: United States (Remote); United Kingdom (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. About the Role We are looking for product focused full stack engineers to work on Teleport itself. You will build the user interfaces and backend APIs to implement them for all parts of Teleport. You will work on the full product lifecycle from working with customers to understand their problems, writing RFDs for your proposed design, implementation, testing, and documentation. Teleport is an open source project and most of the code you will write will be open source and written in Go (or Rust), TypeScript, React. What You'll Do - Making Teleport more efficient by adding server-side pagination and filtering capabilities https://github.com/gravitational/teleport/blob/master/rfd/0055-webui-ss-paginate-filter.md - Making Teleport easier to use by designing experiences that guide the user through the setup and onboarding process. - Building user interfaces that support our passwordless https://github.com/gravitational/teleport/blob/master/rfd/0052-passwordless.md vision. What We're Looking For - Go experience - TypeScript and React experience - Strong understanding of web security https://developer.mozilla.org/en-US/docs/Web/Security How We Hire - You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements. - You will join a 30 minute call with the hiring manager, and we will walk you through the take home exercise and help answer questions - You join a Slack channel and submit a coding challenge in Go and TypeScript https://github.com/gravitational/careers/blob/main/challenges/fullstack/challenge.md using GitHub. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money) THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours. THE ROLE As a Member of Technical Staff focused on Platform, you'll own the foundation everything else runs on. The infrastructure, backend systems, and developer experience that let a small engineering team ship agents into a regulated, high-stakes domain without slowing down. One framing we keep coming back to: agents are the primary users of our system of record, and they operate at scale, across every client, all the time. That puts unusual demands on the platform underneath — reliability, cost, and performance aren't afterthoughts, they're the product. If you build it, you own it. WHAT YOU'LL BUILD (AND OWN) - Core infrastructure and backend systems. The services, data stores, and APIs that everything else is built on—designed for a workload where non-human agents are the heaviest, most constant users. This is what lets the rest of the team move fast without the ground shifting under them. - Safe execution for agents. The sandbox where agents write and run code and take real actions, plus the controls that let them reach our backend and databases without doing damage—versioned SDKs, scoped permissions, rate limits, isolation. - Developer experience and internal efficiency. The build, test, deploy, and observability tooling that determines how fast a small engineering team can ship. In a team this small, the leverage of good internal tooling is enormous: every hour you save the team compounds across every acquisition we take on. - Performance and cost. The systems that keep agents fast and correct under real load, and keep our infrastructure spend sane as we scale across four or five acquisitions this year. An agent that's slow, flaky, or ruinously expensive to run isn't shippable. EXAMPLE PROBLEMS YOU'D WORK ON These aren't hypothetical; we're actively working on versions of all of these. - A sandbox where agents can safely write and run code. Our agents don't just call APIs—they write and execute code and take real actions. You'll build the sandbox that makes this safe: how we deploy it, how we version the SDKs agents write against, and how we give agents access to our backend and databases without letting them do damage—rate limits, scoped permissions, isolation. Get this right and agents can do far more, far more safely. - Cloud agents that triage and fix bugs. With a small engineering team shipping into a high-stakes domain, engineering time is our scarcest resource. You'll build agents that live in our infrastructure—triaging incoming bugs, reproducing them, localizing the cause, and proposing or landing fixes—so the team spends its time on problems that actually need a human. Internal leverage that compounds across every acquisition. - Powering the M&A acquisition engine. Growth runs through acquiring RIA firms, and every one arrives with its own stack—a CRM last updated in 2011, a proprietary custodian export, IT systems held together by a decade of habit. You'll build the infrastructure that onboards a new firm and its existing systems onto our platform fast, without a bespoke project every time. The faster and cleaner this gets, the faster we grow. - Querying years of portfolio data at agent speed. Agents need to reason over years of portfolio performance history, and they need it instantly—without hammering the systems that keep the product running. You'll build the read paths, stores, and deep integrations with custodians and performance-reporting providers that let agents query deep history quickly while keeping our backend systems isolated and healthy. - Maturing our backend. The platform is live and proven; now it has to scale across four or five acquisitions this year. You'll level up the foundation—data warehouses, pipelines, and the core systems everything runs on—so it holds up as data volume and agent load grow. THE KIND OF PERSON WHO THRIVES HERE You’re excited by ownership, ambiguity, and building things that matter. - You think in systems and take ownership of the whole stack. You're happiest when you understand how something works end to end, and you instinctively leave infrastructure better instrumented and better understood than you found it. You know "tech debt vs. shipping" is a false tradeoff here—the platform is the thing that lets everyone else ship, so its health is a feature, not a chore. - You're ambitious in a way specific to this work. You're building for people who manage real retirement savings and estate plans. "Good enough" means something different here. You'll rebuild something that works because you know it won't hold through the next acquisition—and that standard motivates you more than shipping faster than last sprint. - You move fast, and you know speed and reliability aren't in tension here. Advisors depend on what you build every day. Breaking prod isn't something you wait until Monday to fix. - You're someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don't have clean answers. The people who thrive here want to argue about architecture at lunch and then build something together in the afternoon. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you're genuinely energized by this environment (not just tolerant of it). WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next. - The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows. - The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is. - The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.

Location: Bangalore; EU Remote Workplace: Remote About the role Cyberhaven is redefining data security by tracing how sensitive data actually moves across endpoints, cloud, SaaS, and now AI tools and agents. Our AI Security team builds the backend systems that give enterprises real-time visibility and control over how their data flows into and out of LLMs, GenAI applications, and autonomous agents. We're looking for a Staff/Principal Backend Software Engineer to be one of the most senior technical voices on this team: an early contributor with substantial influence over the architecture of a new and rapidly evolving product line, solving multiple exciting technical challenges along the way. What you'll do - Architect, extend, and optimize a large-scale, highly scalable, fault-tolerant system that handles large graph datasets at enterprise scale processing billions of AI-related events from hundreds of thousands of endpoints in real time, with sub-second latency requirements. - Set technical direction for how Cyberhaven secures data flowing into and out of AI models, GenAI applications, and agents, shaping architecture decisions that will define this product line for years to come. - Architect and implement security features that protect customer data end-to-end. - Solve real-world scaling problems that require thorough performance analysis and troubleshooting. - Work with a modern, constantly evolving microservices based stack including Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, and Etcd. - Design and build connectors that integrate at the API level with SaaS and AI platforms commonly used in the enterprise (e.g. ChatGPT, Copilot, and other GenAI tools). - Write secure-by-design, hardened software that withstands real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet. - Raise the technical bar across the team through architecture reviews, mentorship of senior/staff engineers, and setting patterns others follow. Who you are - You have a strong track record building backends that are actively used at scale, and you've contributed significantly to and extended their architecture, not just shipped features. - You have deep, hands-on experience developing large applications in Go. - You've operated databases at very large scale. Knowledge of GCP services (BigTable, BigQuery, Spanner) is a plus. - You have experience profiling and optimizing distributed code that uses large databases and streaming platforms. - Experience building connectors that integrate at the API level with SaaS applications commonly used in the enterprise is a plus, especially with AI/LLM platforms. - You have hands-on production experience with microservices and Kubernetes. - You have excellent verbal and written communication skills in English, and can be available to frequently communicate with distributed teams in Europe and the US. - You thrive in fast-paced environments tackling ambiguous challenges, and you enjoy shipping with velocity. - You have a customer-centric mindset and enjoy direct feedback from customers. - You are based in India or the EU. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Задачи: — Переписать существующее iOS-приложение (Swift) на Android. — Полностью реализовать существующий функционал. — Интегрироваться с готовым Backend API. — Поддерживать и развивать Android-версию приложения. Требования: — Опыт коммерческой Android-разработки от 1 года. — Уверенное знание Kotlin. — Опыт разработки приложений под Android. — Опыт работы с REST API. — Понимание архитектуры мобильных приложений. — Умение писать чистый и поддерживаемый код. Будет плюсом: — Jetpack Compose. — Firebase. — Опыт публикации приложений в Google Play. — CI/CD и опыт настройки production-сборок. Условия: — Формат работы: гибрид, 5/2.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE We're looking for an Engineering Manager to lead our wireless network engineering team - the team that keeps one of the world's largest private IoT networks connected. Over a million devices across New Zealand, Australia, the US and Canada, spanning LoRa, cellular, and satellite direct-to-device, running on remote infrastructure in some of the hardest terrain there is. This isn't a pure delivery or pure people role. You'll be in the work: shaping the network architecture, weighing in on spectrum strategy and link budgets, reviewing the automation that runs our tower fleet, and helping your team do the best work of their careers. You'll need to hold the technical bar high while creating the space for others to grow. We're solving connectivity problems that haven't been solved before - keeping livestock connected hundreds of kilometres from the nearest town, where there's often no coverage at all. It's a role that demands absolute ownership: someone who can take a blurry problem, create clarity, and lead a team to nail it. THE KIND OF PROBLEMS YOUR TEAM SOLVES Halter is one system: hardware, software, and AI, running live on real farms. The wireless network team owns the connectivity layer everything else depends on: - Keeping over a million collars connected across LoRa, cellular, and satellite direct-to-device - in valleys, over ridgelines, and far beyond the edge of conventional coverage. - Planning coverage with real RF engineering: link budgets, path loss modelling, antenna selection, and spectrum strategy across multiple regulatory regimes. - Running a fleet of thousands of remote towers with zero-touch provisioning, configuration automation, and remote diagnostics - a truck roll to a hill-country site is expensive, so software has to do the work. - Squeezing every byte: our devices are power and bandwidth constrained, so protocol efficiency and data optimisation directly shape the product. - Making network health visible - turning telemetry from millions of radio links into signals engineers and field teams can act on. Every team here ships systems that have to work in a paddock, not just a browser tab. As an engineering manager at Halter, you're in the work, not above it: coaching engineers, shaping the technical bets, and staying hands-on. WHAT YOU'LL DO - Lead a team of wireless network engineers - supporting their growth, giving great feedback, running performance conversations, and helping them focus on what matters. - Own the technical direction and delivery of the network: architecture, reliability, and scalability across collar-to-tower-to-cloud connectivity. - Stay close to the technical details - spectrum allocation and compliance, LoRa and cellular behaviour, tower infrastructure, fleet configuration automation, and the software tooling that ties it together - and bring a strong point of view. - Own network reliability outcomes: uptime, incident response, and the on-call practices that keep a 24/7 physical network healthy without burning the team out. - Drive tower deployment and coverage strategy as we scale into new regions - site selection, RF planning, and delivery of critical infrastructure. - Hire and grow the team. Wireless network engineering is a rare skill mix, and you'll be building a world-class bench of it. - Work closely with firmware, backend, hardware, and field operations to shape what we build, not just how. You'll be in the room when requirements are fuzzy and you'll help make them clear. - Back engineering-led initiatives and look for opportunities to use AI tools to accelerate development or unlock entirely new ways of working. - Get out on farm. Deep domain knowledge matters and you'll be expected to develop it. - Contribute to the broader engineering culture and practices that make Halter a great place to build. YOU'LL BE GREAT IF YOU - Have led engineers directly - performance conversations, mentoring, hiring, the lot. - Have strong wireless networking fundamentals - you're credible on spectrum allocation, path loss, link budgets, and antenna behaviour, and can hold a high technical bar with specialists in these areas. - Have hands-on experience with LoRa/LoRaWAN, cellular, or other long-range wireless technologies deployed at scale. - Understand platform infrastructure - configuration management (Ansible or similar), fleet automation, and what it takes to run thousands of remote devices reliably. - Are comfortable in code (Go, Python, C++) - enough to review the team's tooling, dig into a data question yourself, and keep your technical judgement sharp. - Know how to shape and structure work without being overly prescriptive, and balance speed with quality. - Stay calm under pressure, have a low ego, and can rally a team through tough or complex work - including incidents on live infrastructure. - You've worked in fast-moving startups, seen growth, and tackled ambiguous problem spaces. Bonus points for experience with satellite direct-to-device or NTN, spectrum regulatory work (FCC, ACMA, ComReg, or similar), embedded systems or firmware exposure, and building or operating infrastructure in harsh, remote environments. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH There's a reason you visit your friends in person, live with your family and don't do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don't like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We're office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what's best for Halter. Our office vibe is something special, it's hard to describe until you're here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"