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Senior Performance Marketing Manager / Digital Lead в Fledge — новое dating-приложение для рынка США. Удалённая работа.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are looking for a Senior Associate, Marketing Operations to own the operational engine behind Garner’s demand generation motion. You will run day-to-day campaign operations, deliver marketing reporting and analysis, and keep lead data flowing to sales with speed and fidelity. This is an automation-first role: you will use AI tools to continuously convert manual work into monitored, hands-free processes, so the role gets more leveraged as you build. This role reports to the Director of Marketing Operations. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own campaign operations end-to-end, including campaign enrollment, list processing, tracking setup, and CRM data hygiene, ensuring every campaign is accurately tracked and attribution is preserved Own the marketing ops request queue, triaging and delivering requests within SLA and escalating only what requires systems-level judgment Use AI tools and automation to convert repetitive campaign ops and request work into hands-free, monitored processes, measured by declining manual effort per campaign Deliver marketing reporting and analysis, maintaining and automating the reporting library (recurring refreshes and event, webinar, and email performance reports) and executing one-off data pulls and analyses as needs arise Own day-to-day lead routing operations, monitoring flow health, resolving routing exceptions, and maintaining speed-to-lead as routing logic and data sources evolve What you will bring to the team: 1–3 years of experience in marketing operations, revenue operations, or a related operational role, preferably at a B2B organization Hands-on HubSpot experience (workflows, forms, segmentation); Salesforce familiarity is a strong plus An automation-first mindset: you’re comfortable with detail-oriented execution, and you’re routinely asking how a process could be made repeatable or hands-free Fluency with AI tools (e.g., Claude) applied to real workflows, or strong motivation to build it fast Data comfort: confident building reports and working in spreadsheets; SQL or Python exposure is a plus A self-starter mindset toward understanding, documenting, and navigating new systems Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $95,000 - $115,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Poland; Ukraine; Israel; Portugal; Spain Workplace: remote About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.   We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines.  At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. About Marketing team: The marketing team handles comprehensive 360º communication and comprises over 150 people. We manage all aspects in-house and operate a robust automation engine. Our combined monthly traffic across all brands exceeds 31 million. As a marketing team member, you'll play a crucial role in the upcoming phase of our brand's growth as we expand and introduce new products to the market. And now, we are looking for a Senior Email Operations Team Manager who is prepared to contribute to the next chapter of our company's growth. What you'll be working on: Strategic Own email-channel-driven attributed revenue as a business outcome, setting the strategic direction for how email contributes to LTV, retention, and expansion across airSlate products Define email and push notification strategy in line with product and marketing strategies Lead churn-prevention and win-back initiatives across email and push notifications as coordinated, signal-driven programs rather than one-off campaigns Set the email roadmap for 2026 and beyond — audit existing programs, identify gaps and quick wins, and prioritize initiatives across three products against attributed revenue targets Define how email fits within multi-channel orchestration, establishing boundaries and handoffs between email, in-product messaging, and other channels Data & use of data Translate behavioral signals, predictive churn scores, and lifecycle stage classifications into actionable segmentation logic and program triggers Define data requirements for email programs — specify the user signals, cohort definitions, and event triggers needed from the data engineering team, and own those requests Own the team's contribution to the revenue attribution model — partner with data teams to define lifecycle-stage KPIs and validate that email is correctly credited under the new attribution framework Own email dashboards with the data team and align them with lifecycle dashboards, so attribution reporting accurately reflects email's contribution to revenue at each funnel stage Use generative and agentic AI tooling to drive personalization and automation at scale across a large, multi-product subscriber base Operational Manage and develop three email marketing specialists — set priorities, coach on execution quality, and connect daily work to strategic lifecycle goals Coordinate across the email development team, data team, demand gen, and product stakeholders to deliver lifecycle programs end-to-end within airEML Maintain and evolve automated email journeys across all four products, with the authority to rebuild or retire programs where data supports it Ensure email deliverability and list health at scale across a large, multi-product subscriber base What we expect from you: 5+ years in email marketing as a senior contributor or leader, retention marketing, or lifecycle marketing with an email focus — B2C or B2B SaaS/subscription products at scale preferred Proven ownership of an email and/or retention/lifecycle program end-to-end — strategy, journey design, segmentation logic, and KPI ownership, not only execution Familiarity with attribution models, including how attribution windows affect reported email performance and how to navigate model transitions Experience using behavioral data and predictive models for segmentation, such as churn scoring or lifecycle stage classification Hands-on experience with a major marketing automation or email platform (Braze, Klaviyo, Iterable, Marketo, HubSpot, or an internal equivalent) A track record of cross-functional collaboration with Product and Data Science teams, not siloed within Marketing Strategic thinking at the program level, not only the campaign level Strong analytical skills, including comfort with dashboards and data-warehouse-sourced data, and the ability to derive lifecycle insights independently Understanding of email deliverability and list health at scale (100K+ subscriber base) A Bachelor's degree in Marketing, Communications, Business, or a related field, or equivalent practical experience Upper-Intermediate (B2) or higher English, written and spoken What helps you rock: Experience in a multi-product or multi-brand environment What we offer   Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.   Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience,  plus a performance-based bonus system and stock options so you share in the company’s growth.   Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.   Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.   Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.   Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.   Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.       It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.   Read our Recruitment Privacy Notice to Learn how we process your personal information.

Задачи: — ручное функциональное тестирование: проверка новых фичей (UI и API компоненты); — автоматизация тестирования: разработка и поддержка автотестов на TypeScript + Playwright; — контроль регресса: анализ результатов прогонов автотестов; — работа с дефектами: локализация багов и расследование причин падения автотестов; — документация: ведение и актуализация. Требования: — опыт manual+auto тестирования от 5 лет; — опыт с TypeScript + Playwright - MUST; — опыт работы с базами данных и умение писать базовые SQL-запросы; — опыт работы с системами контроля версий (Git) и понимание CI/CD; — понимание клиент-серверной архитектуры, уверенная работа с DevTools и инструментами для тестирования API. Будет плюсом: — опыт тестирования стриминговых сервисов или real-time систем (WebRTC, WebSockets); — опыт тестирования высоконагруженных систем. Условия: — полностью белую стабильную заработную плату; — отсутствие бюрократии — гибкие условия работы; — расширенный пакет бенефитов, включающий медицинскую страховку, покрытие налогов, курсы иностранных языков, профессиональное обучение, а также необходимую для работы технику; — дружную и интернациональную команду, которая ценит профессионализм и сотрудничество.

Gray Swan is an American cybersecurity startup that protects artificial intelligence systems and large language models (LLMs) from hacker attacks, vulnerabilities, and failures. Work format: Remote (US only) or on-site in Pittsburgh, Boston, New York City, Philadelphia, San Francisco, or Seattle.

Location: United Kingdom; Tel Aviv Office Workplace: Remote The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. Chainalysis has become known as the leader in blockchain investigation and compliance software. Our products have built trust in blockchains by taking down terrorist financing campaigns https://blog.chainalysis.com/reports/cryptocurrency-terrorism-financing-al-qaeda-al-qassam-brigades-bitcointransfer, disrupting major ransomware operations https://blog.chainalysis.com/reports/netwalker-ransomware-disruption-arrest, identifying the Twitter hackers https://blog.chainalysis.com/reports/chainalysis-doj-twitter-hack-2020, and more. We are building the data platform https://blog.chainalysis.com/reports/series-f/ for blockchain, cryptocurrency, and web3. We’re looking to bring onboard a Senior Software Engineer with deep PostgreSQL and Java Spring Boot experience who executes high-impact projects and is excited about building at a significant scale! In this role, you’ll: - Own and improve our data ingest Java service for enriched transfers generation and aggregations. - Design and tune PostgreSQL transaction batching, indexing, and replication strategies. - Contribute to the next-generation architecture. The team is evaluating a wide stack of cutting edge technologies. You will run PoCs, benchmark latency, and write ADRs and contribute to delivering the next generation to PROD. - Build and maintain scalable API services on AWS that handle thousands of requests per second - Help automate network onboarding end-to-end. - Debug production issues across microservices, define SLOs, and participate in the on-call rotation - Integrate LLM-based tools into daily engineering work and build agentic automation for operational tasks: automated incident triage, self-healing pipelines, and intelligent alerting We’re looking for candidates who have: - 8+ years with PostgreSQL in production: schema design, query optimization, partitioning, replication, and performance tuning under write-heavy, high-throughput workloads - 8+ years building Java Spring Boot services: REST APIs, JDBC, connection pooling, and JVM performance profiling - Experience with Kafka or equivalent streaming systems: consumer groups, offset management, and partition lag debugging - Track record operating distributed systems on AWS: microservices, multi-silo deployments, Terraform - Strong cross-system debugging skills: tracing a serving delay from a Datadog metric to a Humio log to a code path - Comfort with AI-assisted development and agentic engineering practices - A bias to ship and iterate alongside product and design partners - A genuine excitement for significantly scaling large data systems Technologies Core (experience required): - PostgreSQL - Java Spring - Kafka Expected familiarity: - AWS - Kubernetes - Terraform - Python - Github including Github Actions - DataDog - Humio - PagerDuty NICE TO HAVE - Database migration experience (evaluating and cutting over between storage systems) - Flink, Spark, or lakehouse formats (Delta Lake, Iceberg, Parquet) - Kubernetes operations (StatefulSets, HelmReleases, stateful workloads) - Mentoring engineers and driving technical decisions through RFCs/ADRs - Interest in the cryptocurrency AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Задачи: — развивать и оптимизировать backend образовательной платформы; — участвовать в разработке новых сервисов и функциональности; — проектировать и реализовывать backend-решения с учётом производительности и масштабируемости; — работать с существующей кодовой базой: находить узкие места, устранять технический долг и улучшать архитектуру; — повышать стабильность, производительность и отказоустойчивость сервисов; — интегрировать внутренние и внешние сервисы; — участвовать в архитектурных решениях и выборе подходов к реализации новых задач; — взаимодействовать с другими разработчиками и смежными командами; — самостоятельно декомпозировать сложные задачи и доводить их до результата. Стек Backend: PHP 7.4+, Symfony 5+, MySQL 5.7+, Docker, Kubernetes (K8S), Sentry, Graylog. Ожидаем: — 5+ лет коммерческого опыта в PHP-разработке; — уверенное знание PHP 7+; — глубокий опыт работы с Symfony 5+; — уверенное знание MySQL и понимание принципов оптимизации запросов; — глубокое понимание ООП, SOLID и принципов чистого кода; — опыт проектирования и развития backend-архитектуры; — умение работать с большой существующей кодовой базой, находить проблемы в логике и архитектуре и предлагать оптимальные решения; — понимание принципов построения высоконагруженных и отказоустойчивых систем будет преимуществом; — опыт работы с Docker и Kubernetes; — самостоятельность, ответственность за результат и способность принимать технические решения. Условия: — официальное оформление по ТК РФ с первого дня; — полностью белая зарплата, выплаты 2 раза в месяц; — оплачиваемые отпуск и больничные; — современный офис в 10 минутах от м. Балтийская; — график 5/2, с 9:00 до 18:00; — бесплатные напитки и сладости; — оплачиваемые парковочные места; — массажное кресло и PlayStation в офисе; — отсутствие дресс-кода.

Задачи: — Администрировать и развивать Linux-инфраструктуру; — Настраивать и оптимизировать сетевой стек; — Писать production-коды на GO и Python; — Работать с сетевыми протоколами, поддерживать и развивать распределенную инфраструктуру доставки и маршрутизации трафика. Требования: — Уверенное администрирование Ubuntu; — Опыт работы с systemd (юниты, зависимости, hot-reload сервисов), netplan, journald, logrotate; — Настройку и оптимизацию сетевого стека Linux через sysctl (буферы, conntrack, очереди NIC), настройка IPv4/IPv6, swap; — Опыт написания идемпотентных Bash-скриптов; — Уверенная работа по SSH с большим количеством серверов; — Опыт реализации безопасных деплоев и green-blue updates; — Глубокое понимание TCP/UDP, TLS (SNI, ALPN, handshake на уровне пакетов), HTTP/1.1–HTTP/2, WebSocket; — Экспертное знание DNS; — Опыт построения DNS Load Balancing; — Опыт работы с CDN, nginx Reverse Proxy, TLS-терминацией, проксированием WebSocket, fallback-страницами и health-check; — Уверенный опыт разработки на Go (concurrency, тестирование, работа с сетевым стеком); — Опыт разработки на Python (FastAPI; слоистая архитектура); — Уверенный технический стек (SQLAlchemy, Alembic, pytest (unit и e2e, генерация конфигураций из YAML-деклараций)); — Опыт работы с Prometheus, Grafana, Docker, Docker Compose; — Навыки диагностики production-инцидентов с использованием tcpdump, dig, ss, iproute2; — Ежедневное использование AI-инструментов в разработке, автоматизации и инженерных задачах. Условия: — Полностью Remote, full-time 5/2; — Конкурентная заработная плата; — Полностью оплачиваемый испытательный срок (1 месяц); — Возможность напрямую влиять на архитектуру продукта и принимать ключевые технические решения; — Работу в небольшой сильной команде без бюрократии и долгих согласований.

Мы ищем опытного DevOps-инженера с фокусом на MLOps и BlockchainOps для работы в продуктовой компании ITM. Роль подразумевает полную занятость на удаленке и требует глубокого понимания AI и блокчейн-инфраструктур. Требования: — 1+ год опыта с AI-инфраструктурой (биометрия / Computer Vision) — 1+ год опыта с Blockchain инфраструктурой — 1+ год работы с Bare metal K8s — 1+ год работы с Nvidia GPU (Cuda, TensorRT) — 6+ лет общий опыт работы в роли DevOps Engineer — Гражданство РФ (проживать можно в любой стране +-UTC+3) Условия: — Fully remote work format — Only fulltime — Оформление по ТК РФ — 100% оплата больничного — Оплачиваемый отпуск 28 календарных дней

Задачи: — Разработка и развитие высоконагруженных backend-сервисов. — Проектирование архитектуры, работа с распределёнными системами и очередями сообщений. — Полный цикл: от проектирования до production, расследование инцидентов. — Взаимодействие с другими инженерными командами. Требования к кандидату: — 5+ лет коммерческой разработки на Java. — Глубокое знание Spring Boot, брокеров (Kafka/RabbitMQ/NATS), SQL и JVM (память, GC). — Понимание распределённых систем, репликации, шардирования, гарантий доставки. — Опыт с REST/gRPC и проектированием production-сервисов. — Реальный опыт работы в highload-продуктах (тысячи RPS, миллионы пользователей). — Опыт работы в крупных продуктовых компаниях (от 2+ лет). — Будет плюсом: Kotlin, Kubernetes, Cassandra/Redis/ClickHouse, highload-опыт, работа в крупных продуктах. Условия работы: — Релокационный пакет в Белград. — Официальное оформление в Сербии / ИП / ГПХ / B2B через Kleos (с закрывающими документами для EU). — ДМС после испытательного или частичная компенсация страховки. — Техника, компенсация спорта, обучения, английского, психолога. — Тимбилдинги, выезды, сильная инженерная культура.

Задачи: — Разрабатывать и развивать высоконагруженные кредитные продукты, которыми ежедневно пользуются миллионы клиентов; — Писать и поддерживать сервисы на .NET/C#, уделяя внимание надежности, производительности и качеству кода; — Проектировать API и BFF, участвовать в архитектурных и технических решениях; — Проводить code review, предлагать улучшения и развивать инженерные практики команды; — Использовать современные AI-инструменты для ускорения разработки; — Работать в тесном взаимодействии с командой, делиться опытом и участвовать в развитии процессов. Требования: — От 5 лет коммерческого опыта в backend-разработке, из них от 3 лет на .NET; — Опыт работы с разными технологиями, подходами и архитектурами; — Самостоятельность и готовность брать ответственность за результат; — Умение декомпозировать сложные задачи и принимать технические решения; — Сильное инженерное мышление; — Уверенный английский язык; — Опыт менторства, технического лидерства или управления небольшой командой будет преимуществом. Условия: — Гибкий график; — Бесплатный тренажерный зал в офисе; — Отсутствие дресс-кода; — Chill-зона с уютным двориком, workout-площадкой, скамейками и качелями.

Задачи: — Развивать, оптимизировать и масштабировать поисковое ядро Apache в среде AWS EKS. — Работать над качеством мультиязычного поиска (узбекский/русский языки), настраивая морфологию и синонимы. — Внедрять гибридный Vector с использованием семантических векторов (эмбеддингов). — Реализовывать алгоритмы персонального ранжирования LTR (Learning to Rank) на основе данных из нашей Data Platform. — Оптимизировать систему под High-Load нагрузки в десятки миллионов запросов. Требования: — Опыт работы со сложными поисковыми задачами в высоконагруженных e-commerce или классифайд-проектах. — Экспертные знания устройства Apache. — Уверенное владение Go для разработки микросервисов. — Понимание принципов работы алгоритмов ранжирования и векторного поиска. Условия: — Прямое влияние на продукт и архитектуру без лишней бюрократии. — Сильная инженерная команда и масштабные инфраструктурные вызовы.

Задачи: — разрабатывать и развивать высоконагруженные backend-сервисы; — проектировать и развивать микросервисную архитектуру; — работать с Java / Spring Boot; — интегрировать внутренние и внешние сервисы; — работать с Kafka / RabbitMQ, PostgreSQL, Redis; — участвовать в архитектурных решениях и оптимизации производительности; — обеспечивать надёжность, масштабируемость и отказоустойчивость сервисов; — работать с Docker / Kubernetes и CI/CD; — разбираться с реальными production-задачами, а не только писать новый код. Требования: — Middle+ / Senior уровень и уверенный коммерческий опыт с Java; — самостоятельно разбираться в сложных задачах; — понимать, почему выбрано то или иное архитектурное решение; — работать с нагрузкой и интеграциями; — видеть систему целиком, а не только свой кусок кода. Условия: — интересные задачи в сфере FinTech / Banking; — сильная техническая команда; — проекты, где можно влиять на архитектуру и решения; — возможность профессионального роста.