Вакансии

Location: Minsk Workplace: onsite National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. Processing millions of transactions daily across a rapidly growing network of high-volume retail terminals, NRS generates massive volumes of operational data. To empower our retailers and internal teams with instant insights, NRS is building a state-of-the-art, high-throughput Real-Time Reporting Engine powered by ClickHouse. This strategic initiative involves modernizing our data infrastructure, building scalable analytical pipelines, and delivering sub-second reporting dashboards for large-scale transaction datasets. We are seeking an experienced Technical Project Manager (Data & Reporting Platform) based in Minsk to join our distributed engineering team. In this role, you will lead the end-to-end delivery of our core ClickHouse real-time reporting platform, coordinating cross-functional efforts across backend engineers (Golang/Node.js/PHP), database architects, data engineers, QA, and frontend developers (Vue.js). The ideal candidate possesses strong technical project management fundamentals, a solid grasp of data systems/ETL workflows, and naturally leverages AI workflows (Claude, Gemini) to optimize sprint planning, write technical specifications, streamline documentation, and track technical deliverables. This role requires 3 days a week in-office work at our Minsk office facility to collaborate in person with our engineering team, along with regular remote collaboration with teams in Israel and the U.S. Responsibilities: Program Execution & Technical Project Delivery Lead end-to-end project execution for our ClickHouse real-time reporting platform, managing schedules, sprint backlogs, dependency mapping, and technical milestones. Partner closely with backend developers, data engineers, and UI teams to plan and execute high-throughput data pipelines, data aggregation flows, and reporting API deployments. Manage technical risks, identify pipeline bottlenecks, resolve execution blockers, and establish clear criteria for platform stability and performance testing. Act as a technical bridge between Product Management, System Architects, and Engineering teams to translate complex reporting requirements into clear user stories and technical tasks. Leverage modern AI productivity tools (Claude, Gemini) to accelerate sprint documentation, analyze project risks, summarize technical alignment meetings, and draft comprehensive project specs. Metrics, Stakeholder Management & Status Reporting Establish and maintain KPIs, execution velocity metrics, and project health dashboards in Jira/Confluence. Provide weekly progress updates to senior leadership, including the VP of Technology, CTO, and key business stakeholders. Oversee SLA requirements, data delivery timelines, and release readiness checklists across global teams. Organize and facilitate cross-functional release management, ensuring smooth rollouts with zero downtime for reporting services. Data Integrations & Cross-Team Collaboration Oversee data integration initiatives with third-party platforms, external data feeds, and internal microservices. Understand partner technical specifications, API structures, data schema expectations, and support escalation paths. Lead Agile ceremonies (Sprint Planning, Daily Standups, Backlog Grooming, Retrospectives) for distributed engineering groups across time zones. Required Qualifications: 5+ years of Technical Project Management experience leading complex software development or data engineering initiatives. Proven Data & Platform Project Management Experience: Hands-on experience delivering projects focused on databases, business intelligence (BI), analytics, ETL/data pipelines, or high-throughput reporting systems. Agile & Jira Mastery: Advanced proficiency in Jira (Scrum/Kanban management, roadmapping, custom workflows, automation) and Confluence documentation. Strong AI Integration Capabilities: A habitual and demonstrated workflow using AI assistants (Claude, Gemini) to optimize project planning, write specifications, summarize requirements, and improve delivery velocity. Technical Understanding of Systems Architecture: Solid conceptual understanding of microservices, REST/gRPC APIs, SQL/database architectures, CI/CD pipelines, and cloud environments (AWS). Scope & Risk Management: Proven ability to manage technical debt, negotiate scope trade-offs with product owners, and clear complex engineering blockers independently. Cross-Functional & International Experience: Exceptional team leadership skills with experience working alongside global teams in the U.S. and Israel. Strong Communication: Excellent spoken and written English, comfortable facilitating technical design discussions and executive briefings. Nice to Have: Experience managing projects involving ClickHouse or other columnar/OLAP data stores (Snowflake, BigQuery, Redshift). Background in managing high-availability, low-latency financial, transaction, or POS reporting environments. Familiarity with data visualization tools or reporting dashboards (Grafana, Tableau, Metabase, custom Vue.js dashboards). PMP, PMI-ACP, CSM (Certified Scrum Master), or equivalent Agile/Project Management certifications. Work Schedule & Location: Location: Minsk, Belarus (Office). In-Office Requirement: 3 days per week at our Minsk office facility. Time Zone Overlap: At least 3 hours of daily overlap with U.S. Eastern Standard Time (EST). What We Offer: A central role in delivering a high-impact, real-time data engine for the U.S. retail tech market. Direct collaboration with highly skilled engineering and product leadership in Minsk, Israel, and the U.S. Clear career advancement opportunities within a rapidly scaling data platform team. Competitive compensation package. Our benefits: Hybrid work opportunity! Modern office with free parking in the very center of Minsk. An exciting and challenging job with talented people around. Competitive salary and growth opportunities. Really good hardware. 26 vacation days & 5 fully covered sick days without sick leave required per year. Compensation for professional training, seminars, and conferences. Sports activities reimbursement and loyalty program. Medical insurance. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our National Retail Solutions brandprovides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing. NRS is now expanding into a completely new vertical: restaurant technology.We are building a brand-new Restaurant POS platform, a modern and highly capable system designed specifically for restaurant operations. This is one of the most significant product expansions in NRS history and will open a major new market for the company.This is a real opportunity to help build something new and important.

Задачи: — Разрабатывать и улучшать пользовательские функции iOS-приложения в ключевых продуктовых сценариях — Вести продуктовые и технические инициативы от определения проблемы до результата в продакшне — Переводить бизнес-задачи и потребности пользователей в практические технические решения без ожидания полностью подготовленного ТЗ — Разрабатывать надёжные клиент-серверные интеграции и учитывать реальные edge cases в production — Улучшать архитектуру приложения, качество кода, производительность, стабильность и поддерживаемость продукта — Определять критерии успешности новых функций, отслеживать результаты после релиза и улучшать решения на основе полученных данных — Участвовать в code review, развитии инженерных стандартов и обсуждении продуктовых и технических решений — Тесно взаимодействовать с продакт-менеджерами, дизайнерами, аналитиками, backend-разработчиками и другими mobile-инженерами Требования: — Способность начинать работу с понимания бизнес-цели и пользовательской проблемы, а не только с готового технического задания — Умение превращать неопределённые задачи в понятные решения и конкретный план реализации — Навыки самостоятельного предложения улучшений продукта, UX, производительности, стабильности и технической архитектуры — Опыт ведения инициатив end-to-end: от обсуждения проблемы и разработки решения до релиза, мониторинга результатов и последующих итераций — Понимание влияния технических решений на пользовательский опыт и бизнес-метрики — Умение обсуждать компромиссы, аргументировать технические решения и доводить инициативы до результата — Использование продуктовых данных и результатов экспериментов для оценки эффективности реализованных функций

Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you Our client is building the standard path for governed data sharing across product services, analytics, and AI/ML. The Data Platform team owns the contracts, control mechanisms, publication paths, catalog metadata, lifecycle rules, lineage, permissions, and runtime building blocks that make reusable data safe and practical at scale. This is a role for someone who wants to shape a platform early, while working on concrete production problems from the start. Our client already has the production systems, Kafka backbone, PostgreSQL databases, analytical consumers, and AI/ML use cases that need a better data foundation. The challenge is to turn that reality into a standard path that engineers actually want to use. Our first milestone is focused: centrally managed publishing tables in service-owned PostgreSQL databases, captured through Debezium CDC into Kafka, and registered in DataHub with ownership, lifecycle, lineage, and impact-analysis metadata. Longer-term, the platform expands toward self-service data products, governed materialisations, durable shared state, and reusable data across the client’s operational and analytical systems. This is not a role where you only maintain an existing reporting pipeline. You will help design and build the platform path that other engineering teams use when they publish and consume shared data. What you will do Design and build platform services, tools, and workflows for contract-driven data publishing and consumption. Build the first production path for platform-managed PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration. Create GitOps-style workflows where contracts, schemas, ownership, lifecycle, compatibility, policy metadata, and runtime desired state are reviewed, validated, and reconciled as code. Build tooling that gives product engineers fast feedback before they publish or change data products. Help define how client models data products, publishing contracts, schema evolution, field stability, deletion semantics, access policy, lineage, and cost attribution. Operate and improve the CDC runtime model, including Kubernetes workloads, source-specific isolation, offsets, schema history, heartbeats, signal channels, lag visibility, replay, resnapshotting, and recovery. Integrate platform metadata into DataHub so engineers can discover data products, understand ownership, trace lineage, and reason about the impact of changes. Work with product, infrastructure, data engineering, analytics, and AI/ML teams to make the standard path easier and safer than bespoke point-to-point integrations. What you need for this Strong experience building and operating production software systems, preferably in platform, infrastructure, backend, or data-intensive environments. Deep understanding of distributed systems trade-offs: reliability, idempotency, replay, eventual consistency, ownership boundaries, compatibility, and operational failure modes. Practical experience with PostgreSQL or other relational databases, including schema design, migrations, transactions, replication, or operational performance. Experience with Kafka, event streaming, CDC, Debezium, or adjacent data-movement technologies. Direct Debezium experience is valuable, but strong fundamentals matter more. Experience building software that other engineers use: CLIs, internal platforms, control planes, automation, CI validation, developer tooling, or self-service workflows. Familiarity with Kubernetes and cloud or infrastructure platforms, including runtime isolation, deployment, observability, and operational ownership. Ability to turn ambiguous architectural direction into practical increments, make trade-offs explicit, and deliver useful production systems without waiting for perfect certainty. Clear written and spoken communication in English. This role involves aligning multiple engineering teams around standards, contracts, and ownership boundaries. Nice to have: DataHub or other data catalog, lineage, or governance systems. Open table formats such as Apache Iceberg, object-store-backed data lakes, S3, BigQuery, ClickHouse, or analytical storage systems. GitHub Actions, policy-as-code, infrastructure-as-code, controllers, operators, or reconciliation-based systems. Data contracts, schema registries, Protobuf, Avro, JSON Schema, compatibility checking, field-level metadata, or contract testing. Experience supporting analytics, AI/ML, feature-store-style access patterns, or cross-domain product-service integrations. Experience with JVM languages and Python, TypeScript, Go, or Ruby. 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.

Задачи: — Участвовать в release-процессе и обеспечивать качество продукта на всех этапах — Разрабатывать и поддерживать E2E-автотесты на Playwright — Разрабатывать и поддерживать API-автотесты — Проводить ручное тестирование frontend- и backend-частей продукта — Тестировать REST API и WebSocket — Работать с продуктом на микросервисной архитектуре — Менторить QA-инженеров и участвовать в развитии экспертизы внутри команды Требования: — Опыт работы в QA от 5 лет — Сильная экспертиза в ручном тестировании frontend и backend — Опыт автоматизации тестирования на JavaScript / TypeScript — Практический опыт работы с Playwright — Опыт тестирования REST API и WebSocket — Понимание принципов микросервисной архитектуры — Уверенные навыки работы с SQL — Опыт работы с CI/CD Условия: — Качественный профессиональный опыт, развитие навыков и комфортную рабочую атмосферу — Гибкое начало рабочего дня с 9:00 до 11:00 — Комфортный удаленный формат работы из любой точки мира — Частичную компенсацию медицинской страховки после испытательного срока — Компенсацию занятий спортом, английского языка и сессий с психологом — Возможность релокации в страны присутствия офисов, техника для работы — Корпоративные мероприятия, выезды на природу, тимбилдинги и мастер-классы, корпоративная библиотека

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 .