Вакансии

Требования: — 3+ года коммерческой разработки ПО — 2+ года проектирования и архитектуры систем (паттерны, надёжность, масштабирование) — 1+ год разработки крупных распределённых или многопоточных систем на C#, C++, Java или Perl — 1+ год опыта Object Oriented Design О компании: AWS S3 — одна из крупнейших распределённых систем хранения в мире. Команда S3 Index разрабатывает ПО, отвечающее за надёжность и доступность метаданных ключ-значение.

Требования: — От 3 лет коммерческой разработки ПО (без стажировок) — От 2 лет проектирования и архитектуры систем (design patterns, надёжность, масштабирование) — Опыт программирования хотя бы на одном языке О компании: Команда S3 Storage Nodes в Amazon Simple Storage Service (S3): сервисы, которые хранят и отдают данные клиентов — триллионы объектов с надёжностью 11 девяток.

Location: Москва Workplace: Комбинированный Команда единых облачных технологий создаёт и внедряет облачные технологии для одной из крупнейших серверных инфраструктур. Наша технологическая платформа включает облако One Cloud, его UI, S3-хранилища, базы данных, средства и инструменты разработки, аналитику данных, инструменты мониторинга и диагностики. Проектный офис ведёт ключевые инициативы и выстраивает операционные процессы, которые помогают командам инженеров достигать поставленных целей в согласованные сроки без потери качества. Задачи Управлять проектами развития облачной платформы: планировать и контролировать сроки реализации, выявлять и решать кросс-командные зависимости Выстраивать прозрачность по портфелю с помощью проектных артефактов Растить метрику adoption на целевые инструменты облачной платформы, контролируя миграции инженерных команд: планировать этапы переезда, договариваться с командами, снимать блокеры и отслеживать прогресс Взаимодействовать с командами инфраструктуры и стейкхолдерами разного уровня, фасилитировать обсуждения и аргументированно отстаивать решения Требования Иметь опыт ведения кросс-функциональных проектов end-to-end в технологической компании не менее четырёх лет — от проработки концепции до внедрения и оценки результата Уметь управлять несколькими инициативами одновременно и обеспечивать результат в рамках согласованного скоупа Уметь выстраивать коммуникации со стейкхолдерами и обеспечивать прозрачность сроков и коммитов для них Ориентироваться в устройстве облачной инфраструктуры, знать практики инцидент-менеджмента, определять SLA и SLO для своих систем Самостоятельно выстраивать подход к решению неструктурированной задачи без постоянного контроля Будет плюсом Опыт проектов в области инфраструктуры и платформенных сервисов Опыт выстраивания процессов с нуля

Задачи: — Разрабатывать backend-функциональность и REST API с сохранением обратной совместимости. — Поддерживать существующий код, выявлять и исправлять ошибки. — Проводить рефакторинг с учётом границ модулей и архитектурных правил. — Оптимизировать запросы PostgreSQL, работать с индексами, транзакциями и миграциями. — Разрабатывать обработку фоновых задач и обмен сообщениями через RabbitMQ. — Интегрировать внешние сервисы, включая платёжные. — Писать тесты, участвовать в код-ревью и поддерживать качество кода. Требования: — Уверенное владение PHP 8.x, включая типизацию, enum, readonly, понимание PHP-FPM и OPcache. — Практический опыт работы с Yii2: ActiveRecord, DI-контейнер, модули, миграции, консольные команды и очереди. — Опыт работы с большой существующей кодовой базой и её постепенного рефакторинга. — Знание принципов SOLID, разделения ответственности и внедрения зависимостей через интерфейсы. — Уверенный SQL и опыт работы с PostgreSQL: индексы, EXPLAIN, транзакции, блокировки, миграции без простоя. — Опыт работы с RabbitMQ: маршрутизация сообщений, повторная обработка, DLQ, идемпотентность, понимание RPC и паттернов inbox/outbox. — Опыт разработки REST API, работы с JWT и обеспечения совместимости API-контрактов. — Навыки написания unit- и функциональных тестов. — Владение Git, Docker / Docker Compose и Linux на уровне повседневной разработки. Условия: — Работа в офисе в Москве, 5 минут от метро Бауманская. — График работы 5/2 с 9:00 до 18:00. — Удалённая работа не предусмотрена. Используемые технологии и подходы: — Основной стек: PHP 8.3, Yii2, PostgreSQL 16, RabbitMQ. — Архитектура: слоистая с разделением контроллеров, оркестраторов, сервисов, репозиториев и адаптеров. — Тестирование и качество: Codeception, PHPStan, Deptrac, PHP-CS-Fixer, PSR-12. — Процесс разработки: GitLab CI/CD, merge requests, код-ревью. Будет плюсом: — Опыт разработки сервисов с PostgreSQL, RabbitMQ, Redis, S3 / MinIO. — Знание ClickHouse, Tarantool или Sphinx.

Location: The Netherlands; United Kingdom; Spain; Germany Workplace: Remote ABOUT THE ROLE At ClickHouse, we believe in making product decisions grounded in data, not gut feelings. To support that, we've built a comprehensive internal data warehouse — read more about it on our blog https://clickhouse.com/blog/building-a-data-warehouse-with-clickhouse. It powers analytics, forecasting, and decision-making across every team in the company. Our stack centers on ClickHouse as the core storage and processing engine, complemented by dbt, Airflow, S3, AWS, Superset, and GitHub Actions. We ingest data from 30+ distinct external sources, process over 2.5 PB of data, and deliver most data marts to business consumers with a 1-hour end-to-end latency - a standard that demands highly optimized, rock-solid transformation pipelines. We're looking for a Senior Data Engineer to help evolve the DWH platform, push its technical boundaries, and deliver reliable, high-performance data models to business users across the organization. KEY RESPONSIBILITIES 1. DWH Platform Development - Design and develop reusable Airflow components - operators, connectors, and hooks - along with custom integrations tailored to our data architecture. - Build reusable dbt macros and abstractions: incremental strategies, ETL building blocks, and generic data quality tests, all optimized for ClickHouse-specific behavior and our data patterns. - Develop DataOps tooling - CI pipelines, data migration frameworks, and security controls - with a strong focus on reliability, self-service usability, and scale. 2. Team contributions - Conduct thorough code reviews for team members and other team contributors. - Actively participate in technical and architectural design discussions. - Drive technical leadership in specific areas of our stack. - Continuously improve the team's development environment, with a focus on automation - including AI-assisted workflows. - Contribute to platform stability through proactive troubleshooting and timely incident resolution. 3. Data modeling - Develop, refactor, and optimize business data models in line with our modeling standards and ClickHouse best practices. - Mentor and support contributors through code reviews and technical guidance. - Lead the design and implementation of the most technically demanding data marts - particularly those involving high data velocity, large volumes, or complex business logic. QUALIFICATIONS Required: - Exceptional SQL skills - this is non-negotiable. - Strong hands-on experience with Airflow, dbt, and Python. - Proven track record building and optimizing large-scale, high-throughput data pipelines. - Solid understanding of data warehousing fundamentals: ETL/ELT, dimensional modeling, and data quality. - Bachelor's degree in Computer Science or a related field. - Comfortable thriving in a fast-paced startup environment — exciting and dynamic, but sometimes wonderfully chaotic. Preferred: - Hands-on experience with ClickHouse - a significant advantage. - Familiarity with AWS or other cloud platforms. - Experience with CI/CD development, especially using GitHub Actions. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Компания S3 ищет опытного технического архитектора для повышения производительности и надежности систем 1С, развития интеграций и улучшения инженерных практик. - Устранение узких мест в 1С и СУБД.

Location: Tbilisi, Georgia; Limassol, Cyprus Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We're building a Master/Reference Data Management platform and looking for a strong Analytics Engineer to own its transformation core and semantic layer. The near-term goals are to cut the time-to-market of delivering new data to our 2M+ users by around 7x and to guarantee high-quality data across all TradingView services. We're looking for an Analytics Engineer to join the team building this platform. You will own the dbt project and the transformation layer. Your decisions will shape the canonical data model and the Gold layer the rest of the company builds on. Responsibilities Own the dbt project end to end, including transformations across all layers, reusable macros, and shared modeling rules Consolidate scattered and legacy transformations into unified, standardized pipelines Enable and expand dbt tests, and implement data quality checks across the Silver and Gold layers Design and implement golden-record determination and conflict resolution strategies for master and reference data Build and own the canonical data model, the semantic (Gold) layer, and the data catalog Define and enforce transformation standards and conventions for everyone consuming Gold, so that analysts, ops, and domain teams can self-serve Deliver data from Gold to end consumers, including integration to the frontend through internal systems What makes you the perfect fit 4 to 6 years of experience as an Analytics Engineer or Data Engineer Expert-level dbt, covering modeling, reusable macros, tests, project structure and conventions, with hands-on experience across different data sources such as RDBMS and S3 SQL as a native language, including query optimization from both the query side and the engine side, so indexes, partitions, and data layout Deep hands-on experience with data quality tooling such as dbt tests, great expectations, or soda Experience designing canonical and semantic layers, and dimensional modeling Deep knowledge of database modeling patterns Experience with master and reference data management and golden-record logic Ability to translate logic from Go, Python, or any other language into SQL Will be a plus Experience owning a key component of a mature data platform Exposure to market data or fintech What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Задачи: — Развитие продукта, построение системы работы с данными, усиление процессов и консультирование бизнеса по вопросам точек роста. — Анализ игровой экономики, баланса, поведения игроков и других аспектов игрового продукта. Требования: — Опыт работы продуктовым или маркетинговым аналитиком не менее 2,5 лет, общий опыт в аналитике от 4 лет. — Высшее физико-математическое или техническое образование и/или быстрый карьерный рост в крупных продуктовых компаниях с большим объемом данных (например, Avito, Yandex, inDrive). — Уверенные технические навыки в SQL, Python, мощная математическая и статистическая база, опыт работы с AB-тестами. Условия: — Работа удалённо из любой страны, при этом у компании есть офисы в Армении, Грузии, Казахстане, Сербии, Кипре. — Использование современного технического стека: databricks, pyspark, AWS, Appsflyer, Amplitude, S3, Airflow, Redshift, Monte Carlo. — Аналитики работают с данными через SQL и Python в Jupyter/Databricks ноутбуках, создают прототипы дашбордов в Tableau.

Location: New York Workplace: Remote WHY CLOUD INFRASTRUCTURE AT LANGFUSE Your work will keep Langfuse running — everywhere. Langfuse processes over a billion trace events per month. When a Fortune 50 company relies on Langfuse in production, they're relying on the infrastructure you operate. You'll own uptime, performance, and cost efficiency across our entire cloud footprint — and you'll make sure every self-hosted deployment runs just as smoothly. You'll operate Langfuse Cloud on AWS ECS Fargate and ClickHouse Cloud, with Datadog as the observability backbone. You'll also own our public self-hosted infrastructure — including our Helm chart, Docker Compose setup, and everything in between — so that teams from startups to enterprises can run Langfuse on their own terms. This isn't a "maintain what exists" role. We're scaling fast, and you'll be the person who makes sure the infrastructure grows ahead of demand — not behind it. Langfuse is now part of ClickHouse, which means the team behind the database at the core of our stack is one channel away. Few infrastructure roles give you that kind of direct access to the people who build your most critical dependency.   YOU WILL GROW AT LANGFUSE BY Own Langfuse Cloud operations: You'll run our production environments on AWS ECS Fargate and ClickHouse Cloud. You'll manage deployments, autoscaling, capacity planning, and cost optimization — making sure we stay fast and affordable as traffic scales. Build world-class observability: You'll own our Datadog setup end to end — dashboards, alerts, and SLOs. When something degrades, you'll ensure we know before our customers do. You'll build the monitoring culture that lets the whole team ship with confidence. Make self-hosting effortless: Thousands of teams run Langfuse on their own infrastructure. You'll own and evolve our Helm chart, Docker Compose configuration, and deployment documentation. You'll turn "works on my machine" into "works on every machine" — from a single-node setup to a multi-region enterprise deployment. Automate everything: CI/CD pipelines, infrastructure-as-code, automated scaling, zero-downtime deployments. You'll replace manual processes with automation that makes the team faster and the platform more reliable. Scale for what's next: We're growing fast and new product directions — like complex long-running agent observability and real-time evaluation — push the infrastructure in new ways. You'll be thinking ahead about what breaks at 10x scale and building the foundation before we get there. 10x is always just one quarter away here at Langfuse. Harden security and compliance: As more enterprises adopt Langfuse, you'll help ensure our cloud and self-hosted deployments meet the security and compliance bar that large organizations require.   WHAT WE'RE LOOKING FOR - Strong infrastructure or SRE engineer who gets excited about running systems at scale and making them better every day - Experience operating production workloads on AWS (ECS/Fargate, networking, IAM, S3, etc.) or on comparable hyperscale vendors. - Comfortable with container orchestration — Kubernetes and/or ECS, Helm charts, Docker - Experience with infrastructure-as-code (Terraform, Pulumi, CloudFormation, or similar) - Strong monitoring and observability instincts — you've built dashboards and alerts that actually caught problems (Datadog experience is a plus) - You organize yourself. You have strong opinions about reliability, automation, and how to ship infrastructure changes safely - Interest in open source software and genuine enjoyment helping users debug their self-hosted deployments - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred Bonus points: - Experience with ClickHouse Cloud or other managed analytical databases - Background in operating high-throughput event processing or observability infrastructure - Contributions to open source infrastructure tooling (Helm charts, Terraform modules, etc.) - Former founder PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Ищем Fullstack разработчика (PHP + Vue3) для проекта "Пульс Магнит" - это масштабная платформа, создающая единое информационное пространство для взаимодействия компании с подрядчиками, арендодателями, франчайзи и внутренними службами. Проект направлен на полную цифровизацию процессов эксплуатации торговых точек, ремонта оборудования и развития сети, объединяя разрозненные задачи в эффективную систему управления. Основу проекта составляет веб-платформа личных кабинетов, предназначенная для всех категорий внешних и внутренних пользователей. Здесь реализованы сложные интеграционные потоки, механизмы парсинга данных и инструменты для управления жизненным циклом сотрудничества. Команда: руководитель, 2 бекенд-разработчика (РНР), 1 фронтенд-разработчик (Vue3), 1 UX/UI дизайнер, системный аналитик. Стек технологий: PHP8, JS, TS, Laravel, Vue3, Cloud Native, PostgreSQL, Kafka, Redis, S3, Git, Podman. Задачи Разрабатывать и поддерживать сервисы личных кабинетов в экосистеме «Пульс»: микросервисы бэкенда и веб-интерфейсы для внешних и внутренних пользователей Проектировать и разрабатывать интеграции с корпоративными системами Принимать и документировать архитектурные решения: стек, структура репозиториев, паттерны взаимодействия микросервисов (совместно с архитектором и руководителем) Проводить code review, менторить бэкенд- и фронтенд-разработчиков команды, развивать стандарты разработки, внедрять AI-инструменты в процесс разработки и покрывать функционал автоматическими тестами; разрабатывать CI/CD и конвейера поставки (совместно с devops-инженером) Взаимодействовать со смежными командами по техническим требованиям и срокам Заниматься эксплуатацией и развитием сервисов после запуска: производительность, надёжность, доработки по результатам эксплуатации Требования Опыт коммерческой разработки на PHP с применением реактивных фреймворков на фронтенде от 5 лет; из которых хотя бы 2 года на PHP8 и Vue3 От года опыта на позиции техлида, сеньора, тимлида Глубокое понимание Cloud Native, реляционных и нереляционных СУБД, асинхронного программирования Опыт работы с микрофронтендовой и микросервисной архитектурой Опыт в энтерпрайз-разработке Понимание требований информационной безопасности Уверенное владение ИИ-инструментами Условия Трудоустройство в аккредитованную IT‑компанию ДМС со стоматологией и льготными условиями для членов семьи Работу в уютном офисе в центре Москвы (ст. м. Савеловская), Краснодаре и удаленную работу в других регионах РФ Корпоративные скидки PRIMEZONE, бесплатная подписка Магнит Премиум с повышенным кешбэком по программе лояльности М+ Поддержку в развитии через обучение, конференции и митапы, а также программу для руководителей - Leadership club IT‑комьюнити - среда, где быстрее находишь решения, делишься практиками, пробуешь новые роли и растешь от эксперта в стекe до лидера инициатив Мы являемся партнером Минцифры России по проекту Национальная система подтверждения IT‑компетенций Работа над масштабными продуктами и проектами (Умный магазин, роботизация, беспилотность, GenAI и другое) Социально– психологическая поддержка от >370 специалистов по направлениям: юристы, психологи, врачи, финансовые и ЗОЖ советники Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Data Engineer to build the four source connectors and ingestion pipeline that turns raw knowledge content into a governed, permission-tagged corpus in S3 and Amazon Bedrock Knowledge Bases. You’ll own the ingestion workstream end to end inside an architecture set by the Solution Architect, working paired with the retrieval engineer so no deliverable sits with one person. The mission: get every in-scope item from four source systems into the index with its metadata, permissions, and lineage intact — on a sync schedule the client can tune, with retirement propagating on the next run. WHAT YOU’LL DO - Build the iKNOW connector against Oracle B2C Service knowledge APIs — full inventory extract, then incremental sync by modified date with article status and answer version captured. - Build SharePoint, OneDrive, and Teams connectors on Microsoft Graph — site and drive enumeration, delta queries for incremental change, and capture of sharing and group membership as permission metadata on every item. - Build the Sitecore connector against its content APIs for public web content in scope. - Implement the ingestion pipeline — landing in S3 with per-source prefix convention, document conversion and text extraction, deduplication by content hash, metadata enrichment from taxonomy, and Bedrock Knowledge Base data source sync with chunking parameters set by the architect. - Produce inventory extracts for content disposition reviews and counts that feed the end-of-Phase-1 re-baselining. - Implement retirement handling — items marked retired or deleted at source are removed from the index on the next sync. - Handle throttling and backoff for Oracle and Microsoft APIs, idempotent re-runs, and failure isolation per source so one connector’s outage does not stall the others. - Instrument every pipeline stage with CloudWatch metrics and write the ingestion runbooks. - Pair with client IT during weeks 7–10 so they can run, re-run, and extend the pipelines after transition. REQUIRED SKILLS & EXPERIENCE - 4+ years building data pipelines in production, at least 2 of them on AWS with Python. - Hands-on with Microsoft Graph API for SharePoint and Teams content — delta queries, permissions, and throttling — or equivalent enterprise content platform experience. - Experience landing unstructured content (HTML, Office documents, PDF, chat transcripts) into S3 and preparing it for search or vector indexing. - Working knowledge of Amazon Bedrock Knowledge Bases data sources and sync behavior, or a comparable vector ingestion path on OpenSearch. - Infrastructure-as-code experience with Terraform or AWS CDK and CI for pipeline deployment into a client-owned account. - Comfortable working from a shared backlog in client repositories with documentation written as the work is done. PREFERRED QUALIFICATIONS - AWS Certified Data Engineer Associate. - Prior integration with Oracle B2C Service or another Oracle Service Cloud product. - Prior integration with Sitecore XM or XP content APIs. - Experience with AWS Glue, Step Functions, or EventBridge for orchestration, and with document parsing libraries for Office and PDF formats. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Solution Architect to own the technical design and outcome of an AWS-native retrieval platform engagement — architecture, security design, API contract, cost model, and technical risk. You’ll produce a design a client’s IT and Security teams approve, defend it through kickoff and delivery, and serve as the escalation point for engineers through hypercare. This is a principal-level role. You make decisions the engineers execute without relitigating them, and you defend those decisions to client IT, Security, and the Agent Assist provider. WHAT YOU’LL DO - Produce the target architecture for Amazon Bedrock Knowledge Bases with OpenSearch Serverless as the vector store, S3 as the landing zone, and the retrieval API on API Gateway and Lambda — and get it approved by client IT and Security by end of week 2. - Define the security design: IAM roles and least privilege for every pipeline and API component, encryption at rest and in transit, VPC and endpoint posture, secrets handling for external credentials, and an entitlement-aware permission model for retrieval. - Own the retrieval API contract and Integration Blueprint the Agent Assist provider builds against — request and response schema, versioning policy, authentication, rate limits, error semantics, and citation payload. - Decide and document the chunking, embedding model, hybrid search, and metadata filtering strategy including the cost model for OpenSearch Serverless minimum capacity, embedding on ingest, and re-embedding on model change. - Run the end-of-Phase-1 re-baselining checkpoint from the technical side — validate inventoried content volumes against the design and flag any change control triggers. - Cross-review the Knowledge Management Lead’s taxonomy and metadata model to ensure what stewards tag is what the index can filter on. - Author the operations design — CloudWatch metrics and alarms for connector sync health, ingestion failures, API latency, error rate, OpenSearch capacity, and retrieval quality regressions; review every runbook before handover. - Lead the transition readiness review in weeks 9–10 and sign the readiness checklist jointly with the client. REQUIRED SKILLS & EXPERIENCE - 10+ years in software or cloud engineering, including 5+ years designing production systems on AWS and at least two complete generative AI or search retrieval deliveries on Amazon Bedrock or Amazon OpenSearch. - Hands-on with Bedrock Knowledge Bases data sources and sync, OpenSearch Serverless vector collections, API Gateway, Lambda, IAM policy authoring, KMS, and CloudWatch. - Experience designing permission-aware retrieval over Microsoft 365 content — SharePoint and Teams via Microsoft Graph with Entra app registration — or an equivalent enterprise content platform. - A track record of writing architecture and API documents that a client’s security team approved on first or second review. - Experience as the named technical lead on a fixed-fee or fixed-scope engagement of 8–16 weeks. - Able to present to CIO or VP-level audiences and to interview with the client before kickoff. PREFERRED QUALIFICATIONS - AWS Certified Solutions Architect Professional and AWS Certified Generative AI Developer Professional. - Prior work with Oracle B2C Service (RightNow) knowledge APIs or Sitecore content APIs. - Experience with contact center Agent Assist integrations from any major provider. - Familiarity with SOC 2 or ISO 27001 control language. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Georgia On behalf of NDA, SaaS e-commerce , SD Solutions is looking for a talented Senior MLOps Engineer (Data & ML Platform) based in Georgia (Tbilisi) to join our growing team. You’ll own the data that Falcon’s offer-ranking model learns from: the raw sources, the pipelines, the training tables, and the monitoring around them. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: What you’ll do: Own the ML data pipelines: build and run batch pipelines on Spark and Databricks, from raw data to feature and training tables, including enrichment and backfills for late-arriving data. Onboard new data sources: bring in internal databases, external APIs, partner feeds and web data, and match them to Falcon’s own entities. Use LLMs inside pipelines: add LLM steps to batch jobs, such as turning text into embeddings and structured attributes. Keep training and serving consistent: make sure features match between training and the live inference service, which includes reading its Java code. Monitor data and model inputs: run scheduled data quality checks and Grafana alerts that catch bad data before it reaches the model, and find the root cause when something breaks. Ship like an MLOps engineer: deploy pipelines through CI/CD (GitHub Actions, Docker, AWS) with proper secrets handling, and keep run time and cost under control. Work with AI agents: coding agents write most of Falcon’s code. You’ll decide where agents fit, then check their output on row counts, distributions and edge cases before anyone relies on it. Requirements: 5+ years in data engineering, MLOps or ML platform roles, with pipelines you’ve run in production Production Spark: complex transformations, window functions, large joins, partitioning, and tuning for shuffles and skew. Databricks (jobs, Delta tables) is a big plus. Production Snowflake: SQL, loading and unloading, and cost management Large data volumes: hundreds of millions of rows a month, with incremental loads and backfills that keep run time and cost under control Strong Python: clean, tested code; Spark UDFs including pandas UDFs; pandas and PyArrow Data quality and monitoring: quality checks, drift and anomaly detection, and alerts people can act on Deployment: GitHub Actions, Docker, AWS (S3, IAM) and proper secrets handling Backend engineering: comfortable working in a service codebase, not only in notebooks and SQL AI-first habits: you already use coding agents daily and look for what to automate Fluent English and based in Georgia Nice to have: MLflow and feature stores Airflow or Databricks Workflows Kafka or Spark Structured Streaming Terraform DBT Scala for Spark Reading Java Time-based splits and preventing data leakage in training sets Ad-tech or e-commerce data experience About the company: NDA helps eCommerce brands boost revenue with highly relevant and rewarding post-purchase offers. Our platform delivers personalized offers to customers right after checkout, driving repeat purchases and increasing lifetime value through seamless integrations and data-driven insights By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Espoo Workplace: Hybrid Software Engineer - SAR Processing Platform Role highlights: Job title: Software Engineer Location: Espoo, Finland Department: SAR Processing Platform Reports to: Team Lead SAR Processing Platform Employment type: Permanent Workplace model: Hybrid - 3 days in the office Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Software Engineer, you’ll help build and run the platform that every ICEYE image passes through before a customer sees it. The SAR Processing Platform validates raw radar data, decides when and where to process it, runs the processing workflows, catalogs the products and gates their delivery. You’ll join a small team that owns this orchestration layer end to end, covering how incoming data is validated, scheduled and processed, how products are cataloged and delivered, and the tools operators use to run it. The platform runs in the cloud and on on-premises clusters at customer sites, and you’ll work daily with SAR processing engineers, other engineering teams across the platform, DevOps, product and delivery. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Build and maintain the backend services that schedule, process and catalog satellite data - Write and tune the processing workflows: resource sizing, reliability and integration of new processor versions - Keep production healthy: debug failed or stuck jobs from logs, metrics and the database, and turn recurring incidents into fixes or tooling - Ship through automated, version-controlled deployments to test, staging, production and on-prem environments, and roll out new processor versions and products with the SAR processing engineers using gradual rollouts and quality gates - Write tests, documentation and runbooks, and review teammates’ code What we’re looking for Must haves: - 2 to 5 years of backend software engineering experience, with solid Go and working Python, and willingness to read and occasionally change Rust - Hands-on Kubernetes and Docker as a developer: you have deployed, debugged and sized workloads yourself, not only used a cluster someone else ran - PostgreSQL (schema design, migrations, query debugging) and AWS fundamentals (S3, IAM, EKS or equivalent) - Experience running software in production, including incident debugging and postmortems - Pragmatic use of AI/LLM tools in daily development, fluent English, and comfort asking and answering questions in a distributed team Nice to haves: - Argo Workflows, Airflow or similar; NATS or Kafka; any Rust experience - Geospatial or remote-sensing data (GeoTIFF, COG, STAC, GDAL), or any large-file scientific data pipeline - Helm, Flux, Terraform; Prometheus, Grafana, OpenTelemetry Application Process 1. Recruiter Interview (30 mins online) 2. Hiring Manager Interview (60 mins online) 3. Technical Interview/ Task ( 60- 90 mins) 4. Onsite/ Final Interview (60 mins) Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Espoo Workplace: Hybrid Senior Software Engineer - SAR Processing Platform Role highlights: Job title: Senior Software Engineer - SAR Processing Platform Location: Espoo, Finland Department: SAR Processing Platform Reports to: SAR Processing Platform Team Lead Employment type: Permanent Workplace model: Hybrid : 3 days in the office Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior Software Engineer, you’ll shape the platform that every ICEYE image passes through before a customer sees it. The SAR Processing Platform validates raw radar data, decides when and where to process it, runs the processing workflows, catalogs the products and gates their delivery. You’ll join a small team that owns this orchestration layer end to end, running in the cloud and on on-premises clusters at customer sites, and you’ll help decide where it goes next. The hard problems are scheduling and routing under cost and latency constraints, data integrity across a multi-step pipeline, safe rollouts across many environments, and keeping a system that processes every ICEYE image reliable with a small team. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Own the design of the orchestration layer (scheduling rules, routing between processors, failure handling and resource planning) and build and maintain the backend services and processing workflows behind it. Write the design, argue it with production data, and land it in stages. - Lead incident response for processing incidents, run cross-team root-cause work with the SAR processing and other engineering teams, and make sure postmortem actions close. - Drive platform-wide changes across repositories and environments: multi-release rollouts across cloud and on-prem clusters, migrations that never lose data on first rollout, gradual rollouts and quality gates. Harden access to the platform with least-privilege access to data stores, audit logging across services, and access reviews with Security Engineering. - Review designs and code, pair on hard debugging, and raise the bar on tests, documentation and runbooks. Represent the platform toward SAR processing, other engineering teams, product, DevOps and on-prem customers: turn requests into prioritized work with a business case, and push back with data when needed. What we’re looking for Must haves: - 5+ years of backend software engineering, including building and operating distributed systems in production, with strong Go plus strong Python or Rust - Deep hands-on Kubernetes experience (resource management, scheduling, node pools and autoscaling, Helm), plus AWS (S3, IAM, EKS) and Terraform - PostgreSQL at depth (performance, zero-downtime migrations, query design) and experience with event-driven and batch pipelines: idempotency, at-least-once delivery, backpressure, large objects in S3 - A track record of running production (incident lead, reliability improvements you can quantify) and strong written design communication: you can lay out options, back a choice with data and get a team to agree. Fluent English, a collaborative mindset in a distributed team, and pragmatic use of AI/LLM tools in daily development Nice to haves: - Argo Workflows or another workflow engine at scale; NATS or Kafka; Rust for data-intensive tooling - Geospatial or remote-sensing data (GeoTIFF, COG, STAC, GDAL), or SAR specifically; on-premises Kubernetes (RKE2 or similar) and restricted deployments - GitOps and observability (Flux and Helm; Prometheus, Grafana, OpenTelemetry); security work such as IAM reviews, audit logging and pentest remediation Application Process 1. Recruiter Interview (30 mins online) 2. Hiring Manager Interview (60 mins online) 3. Technical Interview/ Task ( 60- 90 mins) 4. Onsite/ Final Interview (60 mins) Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Москва Наш продукт — это ИИ-помощник, который разработан для помощи сейлзам и трейдерам, снимая с них часть рутинных задач и процессов. Обязанности ### Чем предстоит заниматься: * развивать промпты агентов: системные и ролевые промпты, few-shot, схемы рассуждения, tool calling, извлечение структурированных знаний из документов * строить пайплайны эволюции промптов: версионирование, оффлайн-оценка (golden set, side-by-side, LLM-as-judge), итерации по ошибкам * решать задачи классификации и маршрутизации документов: разделение входного пакета по классам, подготовка релевантного контекста для агента * работать с RAG и эмбеддингами: chunking, выбор и тюнинг эмбеддингов, retrieval / rerank, оценка качества поиска * опромышливание проекта, ведение релизного цикла от прототипирования до вывода в прод * наблюдаемость. Langfuse, Phoenix, отладка по логам и трейсам, сбор метрик * тестирование агентов по обе стороны нестабильности: детерминированные проверки логики (мокирование LLM и внешних сервисов, снапшоты промптов, контракты схем) и оценка качества ответа агента (эталонные кейсы, LLM as Judge). Требования ### Мы ожидаем, что вы: * имеете опыт продакшн на Python 3.11+ от 5 лет: ООП, SOLID, async, типизация, Pydantic v2, структура сервиса. Умение читать, писать и менять чужой код * имеете опыт FastAPI и интеграций по HTTP: контракты, таймауты, ретраи, ошибки внешних сервисов * высшее техническое образование * прикладной опыт с LLM: имеете опыт промпт инжиниринга, работы с контекстом, tool calling, structured output * работали с агентными сценариями: Опыт с ReAct, LangChain, LangGraph. Работали с состояниями диалога, чекпонитами, ветвлением, вызовом инструментов, HITL, памятью сессии * имеете опыт разработки AI агентов, мультиагентных систем, RAG систем. Протокол A2A или межагентское взаимодействие по контракту * имеете опыт работы с Jenkins, OpenShift/DropApp, OpenSearch/Elasticsearch, S3. ### Бкдет плюсом: * опыт работы с GigaChat. Условия ### Что мы предлагаем: * комфортный современный офис на Вавилова, 19 * формат работы – гибрид * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Наша команда отвечает за качество моделей TTS в GigaChat – той части нейросети, которая занимается звуком. Сейчас мы ищем ребят, которые будут работать над базовым качеством, мультимодальным Гигачатом и другими классными проектами. _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * Писать пайплайны обработки аудио/видео данных. * Хотим обрабатывать десятки тысяч часов в день на кластере * инферить опенсорсные и внутренние модели на гпу (денойзер, распознавание, тулы для оценки качества аудио) * поддержка сетевого хранилища данных Требования * python и алгоритмы на хорошем уровне * опыт с multithreading и multiprocess * опыт обучения и/или инференса тяжелых моделей на нескольких гпу * s3, dvc, git Условия * гибридный или удаленный формат работы * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров

Location: Ukraine; Poland M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. We come to work every day to create actionable insights from alternative data. M Science is revolutionizing research, discovering new data sets and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data and technology to create a truly unique value proposition for both financial services firms and major corporations. We're looking for a Senior Data Engineer who is passionate about building robust, scalable data infrastructure and pipelines. You'll work with petabytes of data daily using cutting-edge technologies including Databricks, SQL, Python, Airflow, and modern AI development tools. This role requires someone who can architect solutions, mentor junior engineers, and drive technical excellence across our data platform. NOTE: This role requires flexible working hours to ensure at least 2 hours of overlap with colleagues based on both the US East Coast and West Coast. Expected working schedule: 12:00–20:00 CET. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines processing petabytes of data; Architect data solutions using modern cloud technologies (AWS, Databricks, Snowflake); Implement real-time and batch processing workflows using Apache Airflow; Optimize data storage and retrieval patterns for analytical workloads; Implement comprehensive data quality frameworks and monitoring systems; Establish data governance standards and best practices; Build automated testing and validation for data pipelines; Develop data lineage and metadata management solutions; Lead technical design reviews and architecture decisions; Mentor junior data engineers and promote best practices; Drive adoption of modern development practices including CI/CD for data pipelines; Leverage AI coding assistants (Cursor, Claude, GitHub Copilot) to accelerate development; Implement AI-driven data quality checks and anomaly detection; Stay current with emerging AI tools and their applications in data engineering. Requirements: 3-8 years of data engineering experience; Expert-level SQL - Complex queries, performance optimization, window functions; Advanced Python - Object-oriented programming, async/await, data processing libraries; Apache Airflow - DAG development, custom operators, workflow orchestration; Databricks - Spark optimization, Delta Lake, Unity Catalog governance; Cloud Platforms - AWS (S3, EMR, Lambda, Glue) or equivalent; Data Modeling - Dimensional modeling, data vault, modern data stack patterns; Experience mentoring junior engineers and leading technical initiatives; Strong communication skills for cross-functional collaboration; Experience with Agile methodologies and project management; Ability to translate business requirements into technical solutions. Will be a plus: Experience in financial services, fintech, or data intelligence companies; Background in consumer retail, digital media, or technology verticals; Advanced degree in Computer Science, Statistics, Mathematics, or related field. What we offer: 20 days of vacation; Public holidays; Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues); The exchange of experience and work with talented colleagues; Last but not least - valuable compensation for your efforts.