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Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Information Security Security Engineer Strong Middle Bulgaria, Canada, Croatia, Cyprus, Egypt, Germany, India, Japan, Malta, Poland, Portugal, Saudi Arabia, Spain, Ukraine, United Arab Emirates, United Kingdom Remote APPLY NOW REFER A FRIEND We are looking for a Policy Engineer to design, implement, and validate fine-grained authorization policies for AI agent platforms and cloud-native services. The role focuses on Cedar policy development, identity provider integrations, policy enforcement, and attribute-based access control. The ideal candidate combines hands-on security engineering experience with strong Python skills and a deep understanding of modern authorization architectures. What project we have for you Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. What you will do Design, implement, and maintain authorization policies using Cedar policy language. Develop and test policy definitions, validation workflows, and policy enforcement mechanisms. Configure and manage AWS AgentCore Policy in LOG_ONLY and ENFORCE modes. Build Python-based tooling for policy validation, testing, and governance. Integrate authorization frameworks with Microsoft Entra ID and other identity providers. Design claims mapping and token-based authorization flows using OAuth 2.0 and JWT. Implement fine-grained and parameter-level access control models. Develop and maintain ABAC and RBAC authorization patterns for platform services and AI agents. Partner with platform and security teams to ensure secure access governance across distributed systems. Create auditability and traceability mechanisms for authorization decisions. Support adoption of policy-as-code practices and authorization best practices. What you need for this • Cedar policy language — authoring and testing • AWS AgentCore Policy LOG_ONLY / ENFORCE modes • Python (policy validation tooling) • MS Entra claims mapping • Parameter-level access control patterns Experience: • 3+ years security engineering or backend engineering • Identity provider integration (Entra, Okta, Cognito) • Policy definition in any ABAC or RBAC system • Open Policy Agent (OPA) or Cedar hands-on Will be a plus: • LangGraph tool invocation patterns • AWS AgentCore Gateway integration What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: London Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Россия Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Мы в поиске Golang разработчика, который присоединится к нашей команде и будет развивать платформу лояльности, а именно - сервисы, реализующие экосистемный промодвижок . Основная миссия команды "M+ Engine" - предоставление награды конечному пользователю за выполнение условий. Каждый запрос пользователя (online - из приложения, offline - с кассы магазина) - это проверка большого количества правил, персональных предложений, наличия промокода и выдача какого-либо бенефита (бонусы, скидка и так далее). Все это нужно делать за минимальное время, тем самым решая не только технологическую задачу, но и придумывая комбинаторные подходы обсчета самого выгодного предложения. Команда: Teamlead, 3 Go разработчика, 2 QA. Стек: Golang, Postgres, CH, Kafka, Redis, gRPC. Задачи Внедрять современные технологии и подходы к разработке (Apache Kafka, gRPC) Создавать новые микросервисы Участвовать в выстраивании архитектуры промодвижка (гибкие настройки, гибкие награды, большие объемы данных) Писать unit и функциональные тесты Писать код, проводить ревью Требования Опыт коммерческой разработки на Go от 3-х лет Опыт коммерческой разработки backend от 5 лет Понимание протоколов HTTP/GRPC Знания устройства баз данных Условия Оформление в аккредитованную ИТ-компанию; Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы График работы 5/2 с гибким началом Работу в максимально уютном офисе в центре Москвы (ст. м. Савеловская), в Краснодаре или удаленно из других городов РФ, так же есть офисы в Санкт-Петербурге (ст. м. Балтийская) и в Иннополисе Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах Развитие – мы оплачиваем обучение на курсах и участие в конференциях Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Наличие корпоративных скидок PRIMEZONE и программ лояльности от компании Наличие корпоративной библиотеки курсов Возможность рекомендовать компанию своим друзьям, участвуя в реферальной программе Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Location: New York Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Разрабатывать новые функциональные модули и дорабатывать существующие на Angular и NestJS. Развивать функциональность аналитики, уведомлений, модерации и работы с видео.

Опыт работы в QА: от 5 лет.

Ищем Fullstack-разработчика, который возьмёт на себя техническую реализацию этого направления: от выбора архитектуры и технологий до внедрения системы в реальную работу предприятия. • Совместно с директором производства изучать процессы, определять требования и формировать направления развития продукта.

• Design and execute comprehensive manual and automated testing strategies for complex data pipelines, databases, APIs and backend systems.

- Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом.

Rebellions are looking for a Security Platform Engineer to design and develop software that integrates security data and automates monitoring vulnerability management inspections and reporting.

Задачи: — Построение и ускорение CI/CD процессов. — Автоматизация деплоя сервисов (backend и frontend). — Работа с Kubernetes: деплой, отладка, оптимизация. — Построение надежных rollout-стратегий с zero-downtime. — Проработка и реализация схем миграций баз данных с безопасными cutover сценариями. — Работа с PostgreSQL, включая репликации и failover. — Настройка и поддержка систем observability (Prometheus, Grafana, Elasticsearch). — Оптимизация производительности и отказоустойчивости. Требования: — Опыт работы в DevOps/SRE от 4–5 лет. — Уверенные знания Kubernetes. — Опыт работы с GitLab CI/CD. — Понимание rollout-стратегий и zero-downtime деплоя. — Опыт работы с PostgreSQL, включая репликации и миграции. — Хорошее понимание сетевых технологий (TCP/IP, DNS, балансировка). — Опыт работы с высоконагруженными системами. Условия: — Рыночная зарплата и премии. — Интересные задачи и ресурсы для их реализации. — Возможность обсуждения формата работы (офис или гибрид). — Преимущества работы в аккредитованной ИТ-компании. — Материальная помощь в важных жизненных ситуациях. — Корпоративное обучение и доступ к онлайн-библиотеке. — Корпоративные тренировки и спортивные активности (бег, футбол, волейбол, баскетбол, теннис и другие). — Комьюнити по интересам. — Скидки от партнеров на ДМС, связь, развлечения, подарки, спорт и другие услуги.

Задачи: — Поддержка и развитие функциональности личных кабинетов по услугам: услуга ОФД (передача данных о чеках в ФНС), Ferma (облачная касса), Renta (сервис для ТРЦ сбора и аналитики данных с касс о выручке арендаторов), ЭДО.Поток (сервис электронного документооборота), электронные чеки (логика, биллинг и визуализация статистики отправок электронных чеков покупателям), маркировка (передача данных о маркированных товарах в ЦРПТ через ОФД и ЭДО), QR Cash (API сервис для проверки чеков), запуск и развитие новых продуктов. — Выступать в роли продуктового менеджера в зоне поставленных задач: управление полным циклом разработки функциональности, включая подготовку технических заданий на разработку и дизайн, защиту решений, приемку разработки, анализ обратной связи от клиентов. — Предлагать улучшения по существующей функциональности и реализовывать новую. — Операционная поддержка существующих продуктов. — Сбор и анализ необходимых данных для эффективной реализации новой функциональности с учетом требований законодательства, отсутствия конфликтов с другими ИТ-продуктами, анализа конкурентов и изучения внутренней документации. — Возможность с ростом экспертизы получить ответственность за весь ИТ-продукт. Требования: — Опыт написания технических заданий на разработку с детальной проработкой бизнес-логики. — Умение общаться на языке, понятном разработчику, и понимание различий между frontend и backend. — Знание концепций agile-разработки. — Опыт управления проектами. — Понимание API-документации и написание технических заданий для API методов. — Владение Excel. — Знание лучших практик реализации интерфейсов. — Понимание принципов и процессов проектирования продукта. — Ведение проектов в гибкой методологии разработки. Ключевые личностные качества: — Умение аргументированно отстаивать свою точку зрения. — Легкое отношение к критике. — Настойчивость. — Гибкость в условиях меняющихся процессов. Условия: — График работы 5/2 с гибким началом дня. — Комфортный офис в современном бизнес-центре, 5 минут от станции метро Тульская. — Трудоустройство по ТК РФ. — Дополнительные опции аккредитованной IT-компании. — Возможность профессионального развития. — ДМС после прохождения испытательного срока. — Свободный дресс-код, лаунж-зона, отдельная кухня, чай и кофе в офисе.

Location: Belgrade, Serbia; Krakow, Poland; Lodz, Poland; Lublin, Poland; Remote.PL, Poland; Warsaw, Poland; Wroclaw, Poland We are looking for a Full Stack Developer with strong experience in Java and React to contribute to the development of an enterprise reporting and analytics platform. You will work on a mature product used by a large global customer base, helping deliver new functionality, improve performance, troubleshoot complex issues, and maintain high quality standards across the application stack. The project focuses on building enterprise grade solutions that provide advanced reporting, data visualization, and analytics capabilities integrated with widely used collaboration and work management platforms. The product serves a large global user base and continues to evolve with new features aimed at improving productivity, decision making, and user experience. Develop and maintain backend functionality using Java, Spring, and REST APIs Enhance and support frontend applications built with React and TypeScript Work with relational databases to implement features, troubleshoot data issues, and optimize query performance Investigate and resolve complex production issues by identifying root causes and implementing long term solutions Collaborate with product, support, and engineering teams to deliver new functionality and product improvements Maintain and extend existing framework based codebases while ensuring stability, performance, and maintainability Create and maintain automated tests to support product quality and reliability Participate in code reviews and contribute to engineering best practices Support CI/CD processes and contribute to code quality and security initiatives Prepare and maintain technical documentation related to features and system behavior 3+ years of relevant full stack work experience Solid backend experience with Java and the Spring ecosystem, including dependency injection and REST controllers; comfortable reading and safely modifying an existing framework based codebase rather than working only on greenfield projects Good command of relational databases and SQL, with the ability to troubleshoot data correctness and query performance issues; experience with multiple database vendors such as PostgreSQL, MySQL, Oracle, and Microsoft SQL Server is a plus Practical experience maintaining production UIs with React (Hooks and component composition) and TypeScript in a strongly typed codebase Familiarity with state management solutions such as Redux, Redux Toolkit, MobX, or similar technologies and modern frontend build tools such as Vite or Webpack Good understanding of object oriented programming principles, common design patterns, and automated testing Highly analytical, with a genuine passion for debugging. Reproducing difficult to replicate issues and identifying their root causes is a core part of this role A strong sense of ownership, with the ability to work autonomously, take on unfamiliar areas, manage support tickets, and drive issues through to resolution Good communication skills in English (B2 Upper Intermediate or higher). You will work with international colleagues and handle customer and support requests both in writing and during meetings Experience developing or maintaining Atlassian Data Center applications (P2 Plugins, Atlassian Plugin SDK, Spring Scanner, Marketplace applications), or a strong willingness to learn the platform Recent experience with Kotlin Experience supporting a customer facing product and working directly with customer and support requests Familiarity with BI and analytics tools or the OData protocol Experience with performance profiling and optimization of large datasets Awareness of secure coding practices, including input validation, injection prevention, SSRF mitigation, dependency management, and CVE remediation Awareness of Atlassian Cloud and cloud migration paths, for example JCMA, for Data Center applications

Location: USA Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. About the role Flex is looking for a Staff Software Engineer to build and scale our Fraud and Payment Risk Platform . You will lead the architecture and hands-on development of backend services and shared infrastructure for fraud prevention and payment risk decisioning. The platform combines real-time, near-real-time, and offline/batch-computed risk features with business rules, machine learning model outputs, and experimentation. You will make these capabilities reliable, scalable, and observable, enabling teams to develop, validate, and launch risk strategies faster and more safely. This is a hands-on backend and platform role with technical ownership from architecture through production. You will collaborate with product, risk policy, data science, and engineering teams to turn risk strategies into reusable platform capabilities. Your scope includes feature ingestion and integration, user acceptance testing (UAT), experimentation, and engineering infrastructure supporting the full machine learning (ML) lifecycle—from development and validation workflows through deployment, serving, and production monitoring—in partnership with data scientists who own model research and training. What you’ll do Lead backend architecture and development for the Fraud and Payment Risk Platform, including decisioning services, APIs, and shared infrastructure for evolving business needs. Design for scalability, performance, and reliability , balancing latency, throughput, availability, data consistency, and cost. Build capabilities for feature ingestion, integration, and serving , supporting real-time, near-real-time, and offline/batch-computed features with attention to freshness, correctness, and availability. Develop infrastructure for rules and experimentation , enabling teams to configure and version risk strategies, perform user acceptance testing (UAT), evaluate changes, and safely roll them out. Own engineering infrastructure across the ML lifecycle , supporting development and validation workflows, deployment, inference, versioning, safe rollouts, rollback, and integration of model outputs into risk decisions. Own monitoring and alerting across the platform , covering service health, feature freshness and quality, rule and experiment execution, and model inference. Partner with risk policy and data science teams to monitor model behavior and decision outcomes. Improve platform extensibility and usability , so teams can add features, rules, models, and experiments without duplicating infrastructure or tightly coupling systems. Drive complex initiatives from design through production , including technical design proposals, hands-on implementation, performance testing, migration planning, and cross-team coordination. Raise the engineering bar through design and code reviews, mentorship, and improvements to testing, documentation, deployment safety, and operations. Our backend stack includes Java, Spring Boot, Python, and AWS . Qualifications Minimum qualifications 6+ years of professional software engineering experience, including substantial experience building and operating backend systems in production. 5+ years of hands-on Java experience, including building services with Spring Boot. Experience leading the architecture and delivery of complex distributed systems or shared backend platforms. Strong understanding of API design, service integration, data modeling, caching, and distributed-system failure modes. Experience diagnosing performance bottlenecks and improving scalability and reliability through measurement, testing, and production troubleshooting. Experience with cloud infrastructure, containerized deployments, and relational and NoSQL data stores. Experience establishing observability, monitoring, and alerting for production systems. Ability to lead technical decisions across teams, communicate architectural trade-offs clearly, and mentor other engineers. Preferred qualifications Experience building risk platforms, decision engines, or fraud/payment risk systems is a plus, though risk-domain experience is not required Experience with feature platforms, configurable rules engines, experimentation infrastructure, or production model-serving systems. Experience building shared platforms that other engineering or risk teams adopt and operate independently. Familiarity with AWS services such as EKS, Aurora, ElastiCache, and DynamoDB. Experience with infrastructure as code and CI/CD automation using tools such as Terraform, CDK, and GitHub Actions. Familiarity with tools such as Datadog for observability and Snowflake for analytics. Compensation Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks. Tier 1 (NYC/Bay Area, Los Angeles, Seattle) $200,000 — $250,000 USD Tier 2 (Austin, Washington D.C. Philadelphia, San Diego, Chicago, Atlanta) $180,000 — $225,000 USD Tier 3 (Salt Lake City, all other USA cities) $170,000 — $212,500 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Задачи: — Разработка нового мобильного приложения в кросс-функциональной команде с активным взаимодействием с инженерами backend, frontend и QA. — Декомпозиция и планирование задач. — Участие в принятии технических решений и планировании процесса разработки. — Участие в код-ревью. Требования: — Отличное знание Swift (6+) и iOS SDK. — Коммерческий опыт работы с SwiftUI и Combine. — Опыт работы iOS-разработчиком от 3 лет. — Навыки применения Swift concurrency: async/await, actors. — Опыт работы в крупных приложениях с большой командой. — Понимание принципов SOLID и архитектурных подходов MV*. — Умение верстать сложный интерфейс в коде. — Навыки написания модульных тестов и понимание их важности. — Способность брать в работу фичу, уточнять постановку задачи и доводить её до конца. — Опыт работы в продуктовой команде. Условия: — Использование нативных инструментов и современного стека технологий, включая актуальную версию Xcode и поддержку iOS 18+. — Развитие инфраструктуры с применением модульной архитектуры и дизайн-системы. — Выделение времени на техдолг. — Ценность качества проекта: код-ревью, пересмотр подходов к разработке, автоматизация рутинных проверок и задач на CI/CD. — Поддержка направления Developer Relations с обменом опытом, внутренними митапами и подготовкой к публичным выступлениям. Компания: СберЗдоровье — крупнейшая в России Digital Health платформа, объединяющая различные сервисы цифровой медицины, работающая с 2012 года под брендом DocDoc, помогшая миллионам людей получить медицинскую помощь.

Location: Intellias Meet your recruiter Mariia Savchenko mariia.savchenko@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Strong Middle Romania Hybrid APPLY NOW REFER A FRIEND Intellias helps retailers deliver consistent, omnichannel experiences through technology. Join us to develop scalable solutions that drive performance and customer value What project we have for you We are looking for a hands-on AI Engineer to lead the technical design and delivery of enterprise AI agents and MCP-based integrations. The team will develop Model Context Protocol (MCP) services for local business applications and build AI agents that consume both these local MCPs and MCP services provided by a global platform team. The Senior AI Engineer will own solution design, support use-case discovery, provide technical leadership to the engineering team, and participate directly in implementation. What you will do Develop MCP servers/services for local applications . Expose application capabilities, data and business operations to AI agents through secure MCP interfaces. Integrate MCP services with existing REST APIs, databases and enterprise applications. Develop AI agents consuming both local and global MCPs . Implement agent instructions, tool calling, workflow logic and guardrails. Implement authentication, authorization and secure access to enterprise systems. Build reusable integration components and MCP tools. Perform end-to-end testing of agents and MCP integrations. Troubleshoot agent/tool interactions and integration failures. Monitor agent performance, reliability, latency and cost. Implement automated tests and CI/CD. Work closely with the Senior AI Engineer, global AI/platform teams and application owners. What you need for this Required skills Strong Python development skills. Backend or integration engineering experience. REST API development and integration. Microsoft Azure experience. Experience with LLM applications, tool/function calling or AI agents. OAuth 2.0 / Microsoft Entra ID or similar identity technologies. SQL and JSON. Git and CI/CD. Understanding of software engineering practices, testing and production support. English communication skills. Strong advantage Model Context Protocol (MCP) experience. Azure AI Foundry / Azure OpenAI. Copilot Studio. Semantic Kernel, LangGraph or other agent frameworks. Azure Functions / API Management. Power Automate. Experience integrating AI solutions with enterprise applications. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Remote Job Title: Marketing Automation Engineer (Braze) Build the infrastructure powering the future of restaurant payments At inKind, we’re building a new way to drive customers to restaurants. We power the relationship between millions of users and thousands of restaurants. We are looking for a Marketing Automation Engineer at inKind who can optimize the consumer relationship with a mix of marketing best-practices, strong understanding of data flow, and the ability to translate it to genuine personalization while technically executing on them at scale. You’ll collaborate closely with business and marketing teams to build systems that directly impact the restaurants and users who rely on inKind. As a Marketing Automation Engineer at inKind, you will be responsible for implementing marketing campaigns. You will receive creative briefs and project plans, and be responsible for drafting technical implementation docs and building them. Much of this building will be done dashboard-side in Braze Canvases. Optimizing platform usage, data-based triggering, and understanding user journeys are all key aspects of this role. Our team has a builder-first mindset, leveraging modern Consumer Engagement Platform (CEP) tools such as Braze and data warehouses like Snowflake, to power rich datasets of user information to use for personalization and customer lifecycle management. We are looking for  someone who can turn that data into dynamic, well-timed, high-relevance communication across email, SMS, and push — at scale. This role would have the opportunity to create genuine personalization engines using best-in-class tooling and data models. What You’ll Work On Platform Execution Architect and build complex journey flows - multi-branch, behavior-triggered, time-delayed - that respond dynamically to what users do in the app Create sophisticated email, SMS, and push templates using dynamic templating (in Liquid): conditional content blocks, personalized variables, abort conditions, and live data pulls Manage subscription and compliance workflows for SMS opt-in/opt-out, email unsubscribe, and push permission states and follow TCR regulations QA (Verify) every campaign before launch and own responsibility post-launch: audience spot-checks, template rendering validation, link tracking, SMS encoding, and cross-client email rendering Translate high-level marketing briefs into well-defined audience definitions, validating logic against actual user data before launch Understand CEP best practices to inform cadence of messaging, frequency capping, and prioritizing of marketing communications across lifecycle and ad-hoc campaigns Technical Rigor Write, understand, and document Liquid code to build dynamic content blocks Query our data warehouse (Snowflake) using SQL or review API payloads to validate that events and attributes match expected values, QA before launch, as well as triage potential issues. Use platform-native diagnostic tools (message logs, user lookup, event streams) to diagnose issues without needing an engineer to triage alongside you Understand technical limitations of campaigns and recommend well-scoped solutions Segmentation & Personalization Build precise, multi-condition audience segments using a full range of segmentation capabilities Maintain a clean, documented segment library — consolidating redundant definitions and flagging when underlying data changes affect targeting Partner with the cross-functional teams to define and action on lifecycle stages (active, lapsing, high-value, etc.) and build reusable and trackable segments that reflect those definitions reliably Build and maintain a reusable component library: shared content blocks, brand-compliant modules, and snippet logic the team can use without rebuilding from scratch Minimum Qualifications 4+ years of experience with a major CEP/CRM or marketing automation platform (Braze, Shopify, Iterable, Klaviyo, or equivalent) 2+ years of experience with Braze Deep expertise in journey/canvas building — multi-step, behavior-triggered flows with branching logic, delays, and channel mixing Dynamic templating skills: conditional blocks, variable logic, and live data integrations Experience with audience segmentation using behavioral data, custom attributes, and event properties Solid understanding of contact data models — user profiles, identified vs. anonymous users, subscription and consent management Ability to read API responses and event payloads to self-diagnose data issues without engineering support Liquid code proficiency Deep understanding of email deliverability fundamentals: list hygiene, bounce handling, unsubscribe management, and sender reputation Understanding of email domains/behavior and record management SMS compliance knowledge: opt-in/opt-out mechanics, quiet hours, carrier filtering, and message encoding Familiarity with TCR rules and regulations Preferred Qualifications SQL proficiency and experience working with a cloud data warehouse (Snowflake, Redshift, or BigQuery) for CRM analytics or audience building Background in consumer apps, marketplaces, or loyalty/rewards programs where lifecycle marketing directly drives repeat behavior Familiarity with how CRM data flows from a backend application via REST API or event streaming Experience with in-app messaging, content cards, or push notification strategy beyond transactional sends Some of Our Benefits Generous PTO and company holiday policy + company-paid Short Term Disability 100% employer-covered health and dental insurance; higher-tier and dependent coverage options available Vision plan available at employee cost Child care benefits and generous parental leave Dog-friendly Austin office with great views of downtown Daily lunches and snacks for in-office team members Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Location: Remote, AMER Workplace: Remote Supabase is the Postgres development platform, built by developers for developers. We aim to empower developers by providing a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We're looking for a Head of Ecosystem to lead the teams that make Supabase the backend for the platforms and tools developers already use. That covers AI app builders and coding agents, integrations with the developer tools teams rely on, and the Supabase Marketplace. You'll build this org from the ground up and shape how Supabase extends beyond its own platform. You'll also drive hiring, onboarding, and career development while maintaining high engineering standards. WHAT YOU'LL OWN: - Build and lead a new engineering org across platform partners, integrations, and Marketplace, hiring EMs and engineers as it grows - Own the technical relationship with the platforms building on Supabase, from integration health to escalations - Set and maintain clear roadmaps that balance partner needs with platform priorities - Partner with Product, Partnerships, and Sales to define and execute our ecosystem strategy - Ship a unified, self-serve surface for integrations and Marketplace - Maintain high engineering standards: roadmap hygiene, issue tracking, on-call, incident response, and responsiveness to partners WHAT YOU BRING: - Proven experience leading multiple engineering teams, including managing other managers - Experience building and running platform, API, or integration surfaces that third parties depend on in production - Technical credibility with partner engineering teams, and the judgment to say no - Experience building teams or an org from a small base, including hiring and developing engineering managers - Strong organizational and execution skills: setting roadmaps, driving accountability, and keeping teams moving under uncertainty - Experience managing remote, globally distributed teams - Excellent cross-functional communication skills, especially with Product and commercial teams - Collaborative, low-ego, and adaptable Bonus points if you: - Have experience with OAuth, platform APIs, or app marketplaces - Have worked on a developer platform's partner or app ecosystem - Have worked with AI app builders or coding agents 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.