Задачи:
— Разработка и поддержка микросервисов на Go
— Проектирование REST/gRPC API
— Работа с базами данных (PostgreSQL), оптимизация запросов
— Интеграции с внешними сервисами (email, телефония, платёжные системы и т.д.)
— Участие в код-ревью, обсуждении архитектурных решений
— Написание unit- и интеграционных тестов
— Поддержка CI/CD пайплайнов
Будет плюсом:
— Опыт разработки CRM/ERP или похожих бизнес-систем
— Опыт работы с высоконагруженными системами
— Знание принципов DDD, CQRS
— Опыт менторства/код-ревью для junior-разработчиков (для senior-уровня)
Условия:
— Гибкий график: старт 09:00-12:00 по мск
— Возможность влиять на архитектуру продукта
— Этапы интервью: Общение с HR, Техническое собеседование с тимлидом, Финальная встреча с командой заказчика
SendNOW ищет QA Engineer с опытом в Fintech / Payments для самостоятельного тестирования продукта, работы с API и логами, участия в релизах и развития QA-процессов в команде.
Задачи:
— Тестировать мобильное приложение iOS / Android, веб-кабинет и админку.
— Проводить manual testing и писать/поддерживать автотесты UI / API.
— Сопровождать релизы: проверка задач, smoke и regression testing, проверка hotfixes и production issues.
— Тестировать REST API через Postman: payloads, status codes, headers, authentication, webhooks.
— Анализировать логи и ошибки в GCP Cloud Logging, Sentry, Crashlytics и воспроизводить/локализовать проблемы.
— Анализировать требования, acceptance criteria и макеты Figma, находить пробелы и неоднозначности.
— Создавать понятные bug reports в Jira и вести задачи до закрытия.
— Готовить test plans, checklists, test cases и test scenarios; создавать скринкасты багов и протестированных сценариев.
— Развивать QA-подходы в команде: чек-листы, регрессии, bug reporting и release testing.
Требования:
— 3+ года опыта в Fintech / Payments (интеграции, платёжные провайдеры или денежные переводы).
— Уверенный manual testing web и mobile.
— Практический опыт тестирования REST API и интеграций.
— Уверенный Postman.
— Понимание HTTP/HTTPS, методов, status codes, headers, idempotency и webhooks.
— Умение читать логи (GCP Cloud Logging / Sentry / Crashlytics).
— SQL / NoSQL на уровне запросов.
— Опыт с UI / API автотестами (Playwright, Cypress, Appium, Newman или аналоги).
— Понимание CI/CD и Scrum.
— Понимание UX и пользовательских сценариев.
— Английский B1+.
Условия:
— Фултайм, удалённо из любой точки мира по времени GMT+3.
— Оформление — Service Agreement.
УдалённоmiddleУсловия: фултайм, удалённо из любой точки мира по времени GMT+3; оформление — Service Agreement
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
Platform security is foundational to protecting Phantom and the systems our users rely on. We’re hiring a Senior Platform Security Engineer to own and improve security across our AWS and Kubernetes environments. You’ll work directly with infrastructure and engineering teams to secure the control planes, identities, workloads, and deployment systems behind our most critical products.
We’re building an AI-native security team that aggressively uses AI to expand the speed, depth, and reach of our work. We’re looking for a strong security engineer with high agency who can identify the risks that matter, build practical controls, and own problems through verified remediation. This is a hands-on role for someone who is comfortable working in production systems, writing code and infrastructure, responding to incidents, and making security improvements without slowing down the teams building on the platform.
This role is fully remote; however, we’re only open to candidates based in the US and Canada.
RESPONSIBILITIES
- AWS Security: Own and improve security across Phantom’s multi-account AWS environment, including IAM, Identity Center, networking, compute, storage, secrets, logging, and organization-level guardrails.
- Kubernetes Security: Secure production Kubernetes environments running on Amazon EKS, including cluster configuration, workload identity, RBAC, admission controls, network boundaries, secrets, container security, and tenant isolation.
- Identity and Access: Design least-privilege access models for engineers, services, and automation. Build scoped, auditable, and time-bound access paths for sensitive production systems.
- Mission-Critical Systems: Protect the infrastructure supporting products and services that handle sensitive data and high-value operations.
- Cloud Security Architecture: Lead security design for new infrastructure, platform services, and major architectural changes.
- Infrastructure and Policy as Code: Build reusable security controls using tools such as Pulumi, Terraform, Kubernetes policy engines, and automated configuration validation.
- CI/CD and Supply Chain Security: Harden build, deployment, and release systems, including GitHub Actions, workload federation, build runners, dependencies, artifacts, signing, provenance, and access to production environments.
- Security Automation: Build tools that identify and remediate cloud and Kubernetes risks at scale. Apply AI-assisted workflows where they materially improve analysis, coverage, or response speed.
- Cross-Functional Leadership: Partner closely with Infrastructure, SRE, Developer Experience, and product engineering teams. Establish practical platform-security standards and help teams adopt them.
QUALIFICATIONS
- 7+ years of experience in platform security, cloud security, infrastructure security, security engineering, or a closely related engineering role.
- Deep, hands-on experience securing production AWS environments. You understand IAM and resource policies, workload identity, network security, secrets management, logging, organization-level controls, and the ways these systems fail in practice.
- Deep experience securing Kubernetes in production, preferably Amazon EKS, including RBAC, workload identity, admission policy, network policy, pod security, secrets, and cluster hardening.
- Experience designing or securing mission-critical systems where compromise, excessive privilege, or loss of availability could have significant customer or business impact.
- Strong understanding of identity, authorization, least privilege, isolation, and blast-radius reduction across both human and machine access.
- Experience securing CI/CD and software supply chains, including GitHub Actions or similar systems, build runners, workload federation, artifacts, and production deployment paths.
- Experience writing and reviewing infrastructure as code using Pulumi, Terraform, CloudFormation, or similar tools.
- Ability to write production-quality code or automation in a language such as TypeScript, Python, Go, or Rust.
- High agency and ownership. You can take an ambiguous platform-security problem from initial investigation through implementation and verified remediation.
- Clear communication and a strong track record of partnering with infrastructure and engineering teams while maintaining a high security bar.
NICE TO HAVES
- Experience with AWS Nitro Enclaves or other trusted execution environments, including attestation, isolation boundaries, secure key handling, and operational lifecycle management.
- Experience securing financial, payments, wallet, custody, or other high-value transaction systems.
- Familiarity with key-management infrastructure, AWS KMS, CloudHSM, cryptographic signing systems, or secrets-management platforms.
- Experience operating or securing multi-region Kubernetes and AWS environments at significant scale.
- Familiarity with service meshes and cloud-native networking technologies such as Istio, PrivateLink, Transit Gateway, or eBPF-based controls.
- Experience with GitHub OIDC, Argo CD, Helm, Crossplane, or Kubernetes-based infrastructure delivery.
- Experience using cloud-security and observability platforms such as Wiz, Datadog, GuardDuty, Security Hub, or CloudTrail.
- Experience building policy-as-code, automated remediation, or security tooling used by a large engineering organization.
- Familiarity with blockchain infrastructure or self-custodial wallet architecture.
The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Задачи:
— Переводить бизнес-задачи в архитектурные и технические решения
— Развивать AI-продукты, интеграции, новые каналы и источники данных
— Определять затрагиваемые компоненты, API, контракты, модели данных и бизнес-семантику
— Декомпозировать разработку на проверяемые задачи для AI coding agents
— Проверять сгенерированный код, проводить code review, тестирование и выпуск изменений
— Отвечать за стабильность, безопасность и конечный результат
Требования:
— Опыт промышленной разработки от 3 лет
— Бэкграунд в аналитике данных, BI или системном анализе
— Умение работать с бизнес-требованиями, метриками, моделями данных и интеграционными контрактами
— Практический опыт промпт-инжиниринга: проектирование, тестирование и оптимизация промптов для LLM, построение многошаговых AI-флоу и достижение стабильного качества ответов
— Практический опыт с LLM, AI-агентами, RAG, tool calling, structured outputs и MCP
— Уверенное знание TypeScript или Python, API, SQL, Git, CI/CD и автоматизированного тестирования
— Понимание принципов работы современных языковых моделей, ограничений LLM и способов повышения качества генерации
— Системное мышление, самостоятельность и ответственность за продукт целиком
Будет преимуществом:
— Опыт создания и оптимизации сложных промптов для различных AI-сценариев (reasoning, extraction, generation, classification)
— Опыт создания evals, guardrails и контроля качества AI-ответов
— Опыт работы с React, Telegram-ботами, BI-платформами и семантическими слоями
Условия:
— Конкурентную заработную плату (обсуждается индивидуально)
— Профессиональный рост и участие в масштабных проектах
— Работу в крупном холдинге с активной цифровой трансформацией
— Сильную ИТ-команду и поддержку руководства
— Необходимость краткосрочного приезда в солнечный Ташкент для оформления
УдалённоmiddleГеография найма не уточнена, офис: Ташкент
Задачи:
— Переводить бизнес-задачи в архитектурные и технические решения
— Развивать AI-продукты, интеграции, новые каналы и источники данных
— Определять затрагиваемые компоненты, API, контракты, модели данных и бизнес-семантику
— Декомпозировать разработку на проверяемые задачи для AI coding agents
— Проверять сгенерированный код, проводить code review, тестирование и выпуск изменений
— Отвечать за стабильность, безопасность и конечный результат
Требования:
— Опыт промышленной разработки от 3 лет
— Бэкграунд в аналитике данных, BI или системном анализе
— Умение работать с бизнес-требованиями, метриками, моделями данных и интеграционными контрактами
— Практический опыт промпт-инжиниринга: проектирование, тестирование и оптимизация промптов для LLM, построение многошаговых AI-флоу и достижение стабильного качества ответов
— Практический опыт с LLM, AI-агентами, RAG, tool calling, structured outputs и MCP
— Уверенное знание TypeScript или Python, API, SQL, Git, CI/CD и автоматизированного тестирования
— Понимание принципов работы современных языковых моделей, ограничений LLM и способов повышения качества генерации
— Системное мышление, самостоятельность и ответственность за продукт целиком
Будет преимуществом:
— Опыт создания и оптимизации сложных промптов для различных AI-сценариев (reasoning, extraction, generation, classification)
— Опыт создания evals, guardrails и контроля качества AI-ответов
— Опыт работы с React, Telegram-ботами, BI-платформами и семантическими слоями
Условия:
— Конкурентную заработную плату (обсуждается индивидуально)
— Профессиональный рост и участие в масштабных проектах
— Работу в крупном холдинге с активной цифровой трансформацией
— Сильную ИТ-команду и поддержку руководства
— Необходимость краткосрочного приезда в солнечный Ташкент для оформления
УдалённоmiddleГеография найма не уточнена, офис: Ташкент
Location: Poland
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Ищем разработчика, который поможет выстроить тестовую инфраструктуру мобильного приложения Holisto и сделать разработку быстрее и стабильнее. Приложение уже имеет рабочую версию V3 на Flutter, которая тестируется на первых пользователях. В планах выпуск V4 с улучшениями по результатам beta-тестов и V5 для публичного запуска. Задача — работать с уже существующим продуктом, обеспечивая, чтобы новые изменения не ломали уже работающие функции.
Задачи:
— разобраться в существующем коде и логике V3
— восстановить требования по уже реализованным функциям
— превратить основные сценарии в тест-кейсы
— писать Flutter-тесты
— постепенно покрывать критические пользовательские сценарии golden и E2E тестами
— подключать тесты и покрытие к CI
— ловить регрессии между версиями V3, V4, V5
— находить edge cases до того, как их обнаружат beta-пользователи
— тестировать AI-функции Holisto, развивая подход к автоматическому тестированию LLM
Особенность: значительная часть разработки автоматизируется через AI-агентов, тест-кейсы служат машинопроверяемыми контрактами, которые помогают выявлять ошибки до релиза.
Требования:
— знание Dart / Flutter на уровне чтения чужого кода и самостоятельного написания тестов
— базовое понимание unit, widget, integration, E2E тестирования
— умение точно формулировать требования
— внимательность к деталям
— интерес к AI / LLM и современной разработке
— желание разбираться в существующем продукте, а не только писать новые функции
— коммерческий опыт не обязателен, важна хорошая база и способность быстро разбираться
Условия:
— удалённая работа, частичная занятость, можно совмещать с учебой или основной работой
— формат и мотивация обсуждаются отдельно в зависимости от опыта и уровня вовлечённости
— возможно получение доли в зарегистрированной Delaware-компании
— возможность перехода на оплачиваемый формат при хорошем результате
— роль может вырасти вместе с engineering-командой Holisto
Дополнительно приветствуется опыт работы с CI/CD, использование AI-инструментов в разработке, наличие GitHub / pet-проектов / примеров кода.
Задачи:
— разобраться в существующем коде и логике V3
— восстановить требования по уже реализованным функциям
— превратить основные сценарии в test cases
— писать Flutter-тесты
— постепенно покрывать критические user flows golden и E2E тестами
— подключать тесты и coverage к CI
— ловить регрессии между версиями V3, V4, V5
— находить edge cases до того, как их находят beta users
— тестирование AI-функций Holisto, развивать подход к автоматическому тестированию LLM
Требования:
— Dart / Flutter на уровне чтения чужого кода и самостоятельного написания тестов
— базовое понимание unit, widget, integration, E2E testing
— умение точно формулировать требования
— внимательность к деталям
— интерес к AI / LLM и современной разработке
— желание разбираться в существующем продукте, а не только писать новые функции
— коммерческий опыт не обязателен, важна хорошая база и способность быстро разбираться
Условия:
— удалённая работа, частичная занятость (part-time), можно совмещать с учебой или основной работой
— формат и мотивация обсуждаются отдельно в зависимости от опыта и уровня вовлечённости
— возможно получение доли в зарегистрированной Delaware-компании
— возможен переход на оплачиваемый формат при хорошем результате
— роль может вырасти вместе с engineering-командой Holisto
Особенности:
— значительная часть разработки автоматизируется через AI-агентов
— тест-кейсы являются машинопроверяемыми контрактами
— поддержка тимлида, помощь с погружением и review каждого PR
Дополнительно:
— приветствуются примеры кода, GitHub, pet-проекты
— в отклике желательно указать опыт с Dart / Flutter, виды тестов, опыт с CI/CD, используемые AI-инструменты, время, готовое уделять проекту
Задачи:
— разобраться в существующем коде и логике V3
— восстановить требования по уже реализованным функциям
— превратить основные сценарии в test cases
— писать Flutter-тесты
— постепенно покрывать критические user flows golden и E2E тестами
— подключать тесты и coverage к CI
— ловить регрессии между версиями V3, V4, V5
— находить edge cases до того, как их находят beta users
— тестирование AI-функций Holisto, развивать подход к автоматическому тестированию LLM
Требования:
— Dart / Flutter на уровне чтения чужого кода и самостоятельного написания тестов
— базовое понимание unit, widget, integration, E2E testing
— умение точно формулировать требования
— внимательность к деталям
— интерес к AI / LLM и современной разработке
— желание разбираться в существующем продукте, а не только писать новые функции
— коммерческий опыт не обязателен, важна хорошая база и способность быстро разбираться
Условия:
— удалённая работа, частичная занятость (part-time), можно совмещать с учебой или основной работой
— формат и мотивация обсуждаются отдельно в зависимости от опыта и уровня вовлечённости
— возможно получение доли в зарегистрированной Delaware-компании
— возможен переход на оплачиваемый формат при хорошем результате
— роль может вырасти вместе с engineering-командой Holisto
Особенности:
— значительная часть разработки автоматизируется через AI-агентов
— тест-кейсы являются машинопроверяемыми контрактами
— поддержка тимлида, помощь с погружением и review каждого PR
Дополнительно:
— приветствуются примеры кода, GitHub, pet-проекты
— в отклике желательно указать опыт с Dart / Flutter, виды тестов, опыт с CI/CD, используемые AI-инструменты, время, готовое уделять проекту
Задачи:
— Разработка и поддержка инфраструктуры проектов в Timeweb Cloud.
— Развитие Infrastructure as Code с использованием OpenTofu / Terraform.
— Разработка и поддержка Ansible-ролей и playbook'ов.
— Настройка и поддержка Docker / Docker Compose окружений.
— Разработка и поддержка GitLab CI/CD пайплайнов для инфраструктуры и приложений.
— Настройка сетевой инфраструктуры: VPC, NAT, firewall, reverse proxy, DNS, SSL/TLS.
— Поддержка stage и production окружений.
— Настройка и развитие мониторинга, логирования и алертинга на базе Prometheus, Grafana и Loki.
— Участие в расследовании инфраструктурных проблем и инцидентов.
— Автоматизация инфраструктурных и эксплуатационных задач.
Требования:
— Уверенное знание Linux.
— Опыт работы с Docker и Docker Compose.
— Опыт работы с Terraform / OpenTofu или другими IaC-инструментами.
— Опыт работы с Ansible.
— Опыт построения и поддержки CI/CD пайплайнов.
— Понимание сетей: TCP/IP, DNS, HTTP/HTTPS, NAT, firewall.
— Опыт работы с nginx, Angie, Traefik или другими reverse proxy.
— Понимание принципов работы PostgreSQL, Redis и других типичных сервисов веб-приложений на инфраструктурном уровне.
— Опыт работы с Git.
Будет плюсом:
— Опыт работы с Timeweb Cloud или другими облачными провайдерами.
— Опыт работы с GitLab CI/CD и self-hosted GitLab.
— Опыт работы с Prometheus, Grafana, Loki, Grafana Alloy.
— Опыт работы с Nexus или другими registry/repository manager'ами.
— Опыт построения инфраструктуры для PHP, Node.js или Go-приложений.
— Опыт работы с RabbitMQ, Centrifugo и другими инфраструктурными компонентами веб-приложений.
— Опыт настройки security-проверок инфраструктурного кода: Checkov, Gitleaks, Trivy и аналоги.
— Опыт работы с Kubernetes.
Задачи:
— Создание и поддержка кластеров: Kubernetes, Kafka, Greenplum, Cassandra, Hadoop, Apache Ozone
Требования:
— Опыт работы DevOps-инженером от 7 лет
— Установка и администрирование ОС Linux / Ubuntu / Talos
— Работа на уровне железа/сети: обновление прошивок сетевых карт, настройка бондинга (bonding)
— Глубокое понимание принципов DevOps и выстроенных процессов CI/CD
— Опыт работы с системами управления конфигурациями (Ansible) и оркестраторами
— Уверенная автоматизация рутинных процессов на Python и Bash
— Навыки написания скриптов автоматизации и опыт разработки веб-сервисов (API) на Python
— Отличное владение Docker и Git
— Опыт администрирования реляционных баз данных на уровне администратора
— Опыт работы с Apache Ozone
Условия:
— null
Задачи:
— Проектирование и разработка сервисов с применением принципов DDD.
— Формирование культуры тестирования: написание unit/integration тестов, обеспечение необходимого уровня покрытия и тестируемости кода.
— Наблюдаемость на стороне кода: метрики, структурные логи и сквозная трассировка запросов в самих сервисах. Сбор и визуализацию обеспечивает инфраструктура.
— Принятие и защита архитектурных решений в команде (контексты С3-С4 из модели C4), ведение ADR (Architecture Decision Records).
— Развитие сделочного контура (заказы и платежи): асинхронное межсервисное взаимодействие, идемпотентность денежных операций, транзакционный outbox, повторные попытки и отложенные срабатывания.
Требования:
— Опыт коммерческой бэкенд-разработки от 4-х лет на Go или Python.
— Уверенное знание алгоритмов и структур данных, умение применять их для решения практических задач.
— Уверенный опыт работы с PostgreSQL: оптимизация запросов, индексы, транзакции, уровни изоляции и блокировки, понимание планов выполнения (EXPLAIN), опыт ведения миграций. Работа с ORM (GORM) с пониманием генерируемого SQL.
— Умение проектировать и реализовывать API (REST, gRPC), понимание версионирования и контрактного тестирования.
— Уверенный опыт работы с Linux, Docker, Kubernetes (базовое понимание/опыт написания манифестов), настройка CI/CD пайплайнов.
— Глубокое понимание принципов чистого кода, SOLID, DDD, микросервисной архитектуры и паттернов распределенных систем.
— Уверенный опыт работы с брокерами сообщений (RabbitMQ, Kafka или аналоги): понимание гарантий доставки, обработка ошибок и dead-letter queues, идемпотентность и транзакционный outbox.
— Опыт AI-assisted development: уверенное использование AI-ассистентов разработки (например, Cursor, GitHub Copilot, Claude Code, Codex) для декомпозиции задач, подготовки черновиков кода, рефакторинга, написания тестов, поиска дефектов и работы с документацией.
— Умение критически проверять результаты AI: валидировать бизнес-логику, соответствие архитектуре и кодстайлу, покрытие тестами, производительность, безопасность и лицензионные риски.
— Готовность нести персональную ответственность за код и технические решения, независимо от использования AI-инструментов.
Условия:
— Удаленно, полная занятость, ТК РФ
УдалённоseniorГеография найма не уточнена, офис: Москва
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role overview
We are seeking a Senior Localisation Quality Engineer, a highly skilled and innovative individual who brings together design-phase product thinking, software engineering expertise, localisation awareness, and technical problem solving.
The role builds on the core responsibilities of a Senior Localisation QA Engineer, combining strong localization quality expertise with software engineering, automation, and earlier involvement in the product design and development lifecycle.
This role is ideal for someone who has worked closely with design teams in Figma, has experience reviewing and validating designs before implementation, understands how localisation impacts product and UI design, and can build scalable technical solutions to improve quality across the product lifecycle. You will partner with design, engineering, product, and localisation teams to identify risks early, improve design quality and localisation readiness, and create tools, systems, and solutions that enable faster and smarter delivery.
Rather than focusing only on post-implementation testing, this role emphasises early engagement in the design phase, including reviewing Figma files, prototypes, design systems, user flows, and content structures to ensure they are scalable, testable, and ready for localisation across languages and regions. You will also contribute as a hands-on engineer, building software, automation, integrations, and AI-driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision-making.
The ideal candidate combines strong software development skills, experience working with design systems and Figma-based workflows, practical understanding of localisation and internationalisation, and hands-on interest in engineering solutions to product and quality challenges.
Responsibilities
Design Systems, Figma & Early Product Quality
- Partner with designers, product managers, engineers, and the wider Localisation team to help identify localisation risks early in the design phase.
- Support the Localisation team by reviewing Figma designs and providing technical and design expertise to improve localisation readiness before implementation.
- Help the Localisation team identify and address design risks such as text expansion, truncation, layout issues, bidirectional languages, locale-aware components, and cross-market scalability.
- .Build and improve tools, automation, and processes that enable Localisation QA to identify issues earlier and at scale, including automated design and content validation, screenshot capture, localisation readiness checks, and quality validation across languages and regions.
- Work with the wider Localisation team to define best practices and guidance that help designers and engineers create products that are ready for localisation from the start.
- Collaborate with design teams on design systems, UI patterns, and content structures to improve quality and reduce downstream issues before code is written.
- Help define quality expectations, localisation considerations, and implementation guidance directly from design artefacts and product requirements.
Localisation Quality & Testing
- Perform hands-on Localisation QA testing across multiple languages, platforms, products, and regions, including linguistic, functional, visual, and internationalisation testing.
- Lead and support complex localisation quality initiatives, while contributing directly to day-to-day testing when needed.
- Develop and improve localisation test strategies covering linguistic, functional, visual, and internationalisation quality.
- Investigate complex localisation and internationalisation issues and work with engineering, design, product, and localisation teams to identify root causes and appropriate solutions.
- Help define localisation quality standards and ensure localisation considerations are integrated throughout the product development lifecycle, from design through implementation and release.
Software Engineering & Technical Solutions
- Design and develop software, internal tools, automation, and reusable services that improve product quality, design validation, and workflow efficiency.
- Build scalable software solutions that support validation of product experiences across design, development, and release stages.
- Contribute to codebases, frameworks, and technical infrastructure that improve quality signals, design consistency, and localisation support.
- Partner with software engineers to improve feature readiness, system testability, and quality-by-design practices.
- Integrate validation and quality workflows into modern development environments and CI/CD pipelines where appropriate.
Automation, Tooling & Process Improvement
- Identify opportunities to reduce manual work and improve localisation and product quality across design, engineering, and localisation workflows.
- Design and build tools, automation, integrations, or other technical solutions that help teams review designs, validate content, detect issues, and improve workflows.
- Choose the right technical approach for each problem, which may include traditional automation, scripts, plugins, APIs, AI/LLMs, or existing internal tools.
- Develop solutions that help identify localisation and quality issues earlier in the product lifecycle and provide faster feedback to teams.
- Prototype and test new approaches, measure their value, and develop successful solutions so they can be used by the wider Localisation team and potentially other teams.
Cross-Functional Leadership
- Act as a bridge across design, engineering, product, and localisation teams, helping align quality, scalability, and user experience goals.
- Communicate clearly with both technical and non-technical stakeholders, translating complex issues into actionable recommendations.
- Influence teams toward a shift-left, design-led quality approach.
- Contribute to planning, design reviews, implementation discussions, and release readiness with a focus on preventing issues early.
- Provide technical guidance and mentorship to members of the Localisation team, sharing engineering, automation, localisation, and quality best practices.
- Promote a culture of innovation, technical excellence, and continuous improvement.
Qualifications
Education
BS/BA in Computer Science, Engineering, Human-Computer Interaction, Design Technology, or a related field, or equivalent practical experience.
Experience
- 5+ years of experience in software engineering, design technology, quality engineering, localisation engineering, or related product development roles.
- Strong hands-on experience in software development, with the ability to build tools, systems, integrations, or automation that solve real product challenges.
- Experience working closely with design teams and Figma workflows, including reviewing designs, prototypes, component systems, and user journeys before implementation.
- Experience validating or testing Figma designs for quality, scalability, localisation readiness, and implementation feasibility.
- Practical understanding of localisation and internationalisation principles in digital products.
- Experience with localisation quality or testing across multilingual products, platforms, or regions.
- Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, or Java.
- Hands-on experience building or experimenting with AI agents, plugins, copilots, or intelligent workflow tools.
- Experience with APIs, structured data, system integrations, and modern software development practices.
- Familiarity with developer collaboration tools such as GitHub, JIRA, and Confluence.
- Strong understanding of product development lifecycle, Agile methodologies, and cross-functional delivery models.
Soft Skills
Excellent written and verbal communication skills.
Strong product thinking and problem-solving ability.
Comfortable operating across design, engineering, product, and localisation domains.
Self-motivated, adaptable, and effective in a fast-paced environment.
Strong organisational and stakeholder management skills.
Desired qualifications
Experience with Figma design systems, component libraries, and design-to-development workflows.
Experience creating or contributing to Figma plugins, design validation tools, or workflow extensions.
Experience building AI agents, assistants, or plugins for design, engineering, content, or localisation use cases.
Experience influencing product quality earlier in the lifecycle through design review and engineering collaboration.
Familiarity with multilingual product development, translation workflows, or international launch readiness.
Experience in video games, consumer technology, digital entertainment, or large-scale product environments.
Fluency in one or more non-English languages is a plus.
What We Offer
The opportunity to shape next-generation quality, localisation, and design-to-development practices.
A dynamic and inclusive workplace where technical excellence, collaboration, and global impact thrive.
Competitive compensation, performance bonuses, and comprehensive benefits.
Career growth opportunities in a forward-looking engineering environment focused on quality, localisation, automation, intelligent systems, and early product excellence.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: PL
Workplace: remote
Overview:
SOFTSWISS is hiring a Senior SOC Detection Engineer to join our Security Operations team. We are seeking a hands-on security professional to help build and develop our detection engineering function, strengthening the company’s ability to identify, investigate, and respond to security threats across Windows, Linux, and Kubernetes environments.
Purpose of the role:
You will be responsible for owning the full lifecycle of security detections, from researching attack techniques and defining logging requirements to developing, testing, deploying, and continuously improving detection content in Splunk. Your work will help enhance detection coverage, improve telemetry quality, reduce false positives, and ensure that security teams can reliably identify and respond to real threats.
Key responsibilities:
Develop, test, deploy, and maintain detection and correlation rules in Splunk or a similar SIEM.
Translate incident investigations, threat hunting, and attack research into effective detections.
Analyze false positives, false negatives, and detection gaps.
Improve detection coverage and map detections to MITRE ATT&CK techniques.
Develop and optimize SPL queries, dashboards, reports, and risk-based detections.
Define requirements for logging, parsing, normalization, enrichment, and data quality.
Develop monitoring and health checks for detection rules and data sources.
Contribute to automated detection testing, synthetic events, telemetry replay, and CI/CD workflows.
Participate in incident investigations, threat hunting, purple team exercises, and attack emulation.
Collaborate with SOC, Incident Response, Threat Intelligence, Infrastructure, and Engineering teams.
Document detection logic, data sources, dependencies, limitations, and expected behavior.
Required Experience:
Strong hands-on experience in SOC, Detection Engineering, Threat Hunting, Incident Response, or a related field.
Deep understanding of MITRE ATT&CK, common attack techniques, and detection methodologies.
Strong proficiency in Splunk SPL or another enterprise SIEM platform.
Experience developing complex queries, correlations, dashboards, and reports.
Practical experience tuning detections and managing exceptions and allowlists.
Ability to define and evaluate logging and telemetry requirements.
Proficiency in Python, PowerShell, or Bash for automation.
Experience with Git, code reviews, APIs, and basic CI/CD practices.
Understanding of Windows and Linux security monitoring.
Ability to independently investigate complex problems and drive solutions to completion.
Strong communication skills and the ability to work effectively across teams.
Nice to have:
Experience with Splunk Enterprise Security, CIM, data models, macros, and lookups.
Experience with Sysmon, Windows security auditing, Active Directory, auditd, osquery, Tetragon, Docker, or Kubernetes.
Experience with YARA, CALDERA, Shuffle, or other security automation and attack emulation tools.
Experience building detection quality metrics and automated validation frameworks.
Experience with Terraform, Ansible, or other infrastructure-as-code tools.
Participation in security research, conferences, or the broader security community.
Our technology focus:
Splunk Enterprise Security, MITRE ATT&CK, Windows and Linux telemetry, Kubernetes and container logs, Python, PowerShell, Bash, Git, and CI/CD.
Learn more about our hiring process
here (
link
)
– what to expect, how to prepare, and what makes SOFTSWISS different.
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events
Location: Worldwide
Workplace: remote
We are looking for a Senior Backend Developer to build and develop a high-load anti-fraud service. You will work on fraud detection mechanisms, risk profiles, event-driven data processing, and integrations with external services.RequirementsPython & Backend Development: At least 4 years of commercial development experience, with strong production experience building and operating high-load backend services in Python.Databases: Strong experience with PostgreSQL, including database design and query optimisation for reliable and performant backend systems. Experience with ClickHouse will be an advantage.Event-Driven Systems: Experience with Kafka and building aggregated state and read models from event streams, including deriving entity attributes from events, enriching them with external data, and maintaining consistency.Integrations: Experience designing and supporting integrations with external services to ensure reliable data exchange between systems.Architecture & Development Environment: Understanding of modern backend architecture and CI/CD processes, with confident use of Docker, Git, and Linux. Experience with DDD, CQRS, or GitLab CI/CD will be an advantage.Code Quality: Experience with unit, functional, and end-to-end testing to build stable, maintainable applications and minimise regressions.AI & Modern Technologies: Practical experience using AI-powered development tools to improve engineering productivity and development workflows.ResponsibilitiesDevelop and support the anti-fraud backend service to ensure stable operation under high load and support the development of fraud prevention capabilities.Implement fraud detection and scoring rules together with the anti-fraud team to identify and evaluate suspicious activity across different fraud scenarios.Build and own the risk-profile context: aggregate entity attributes from event streams, enrich them with data from external services, and maintain consistent and queryable risk profiles.Design and maintain integrations with external services to provide reliable data exchange and the information required for anti-fraud decision-making.Design and optimise data storage and backend components, including relational and non-relational databases, while monitoring performance, troubleshooting production issues, and improving system reliability.Continuously improve backend solutions and development workflows, maintaining code quality through testing and using AI-powered tools to increase development efficiency.We offerHigh salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.
Location: Nicosia
Job Overview
Wargaming is looking for a
Performance QA Team Lead
to join our
World of Warships PC
team. In this role, you’ll lead the Performance QA team, drive performance testing and automation using Python, and help ensure the game delivers a smooth and stable experience for players.
We’re looking for a technical leader with a strong and broad background in performance engineering, who can combine hands-on expertise with team leadership and help us continuously improve our performance testing practices.
Reports to
Head of QA
What will you do?
Lead the Performance QA team: task planning, coordination, mentoring, and technical guidance
Define and maintain performance testing strategy, coverage, baselines, thresholds, and regression criteria
Investigate performance regressions, identify bottlenecks, and drive root-cause analysis across client, backend, and system-level components
Drive performance testing and automation across game client, backend services, network interactions, and system-level scenarios
Create and maintain test infrastructure, tools, and frameworks for QA team
Maintain documentation for performance tests, tools, and testing processes
Collaborate with development and other teams to analyze performance results and drive improvements
Integrate and maintain performance testing within CI/CD pipelines
Participate in architectural and technical design reviews from a QA perspective
What are we looking for?
4+ years of experience in Performance QA, Performance Engineering, or related areas
Experience in leading QA teams or technical leadership
2+ years of professional experience with Python
Strong understanding of performance engineering principles and the ability to investigate performance issues across complex systems
Experience in at least one of the following areas: client performance, backend/load performance, distributed systems, or system-level performance analysis
Upper-Intermediate (B2) or higher English knowledge
What additional skills will help you stand out?
Experience in game development or performance testing of PC games
Knowledge of PC architecture and component interaction (CPU, GPU, memory, disk I/O)
Experience with game client profiling and GPU profiling tools
Experience with high-load or distributed backend systems
Experience evaluating, adopting, or integrating AI-assisted tools to improve team workflows, test development, and reporting
Work mode
This position is open in our Belgrade or Nicosia office
During the probation period: onsite work
After the probation period: onsite or hybrid (3 days per week in the office)
This role is eligible for relocation & immigration suppor
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:
21 days annual leave (additional days based on years of service: up to 25 days)
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave (10 days top-up to statutory allowance per year)
Maternity Leave (18 weeks top-up to statutory allowance per case)
Career development and education opportunities within the company
English Language courses fully covered by the company upon Manager’s approval
Private Health Care
Mental well-being program (iFeel)
Onsite gym and spa
Free parking close to the Nicosia offices, based on availability
Free drinks-equipped kitchen in every floor building
Eurobank benefits (if applicable)
Employee discounts (e.g. restaurants, bars, etc.)
Personal Gaming Account
Onsite canteen with subsidized prices for food and drinks
Company events, Social Clubs
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Belgrade
Job Overview
Wargaming is looking for a
Performance QA Team Lead
to join our
World of Warships PC
team. In this role, you’ll lead the Performance QA team, drive performance testing and automation using Python, and help ensure the game delivers a smooth and stable experience for players.
We’re looking for a technical leader with a strong and broad background in performance engineering, who can combine hands-on expertise with team leadership and help us continuously improve our performance testing practices.
Reports to
Head of QA
What will you do?
Lead the Performance QA team: task planning, coordination, mentoring, and technical guidance
Define and maintain performance testing strategy, coverage, baselines, thresholds, and regression criteria
Investigate performance regressions, identify bottlenecks, and drive root-cause analysis across client, backend, and system-level components
Drive performance testing and automation across game client, backend services, network interactions, and system-level scenarios
Create and maintain test infrastructure, tools, and frameworks for QA team
Maintain documentation for performance tests, tools, and testing processes
Collaborate with development and other teams to analyze performance results and drive improvements
Integrate and maintain performance testing within CI/CD pipelines
Participate in architectural and technical design reviews from a QA perspective
What are we looking for?
4+ years of experience in Performance QA, Performance Engineering, or related areas
Experience in leading QA teams or technical leadership
2+ years of professional experience with Python
Strong understanding of performance engineering principles and the ability to investigate performance issues across complex systems
Experience in at least one of the following areas: client performance, backend/load performance, distributed systems, or system-level performance analysis
Upper-Intermediate (B2) or higher English knowledge
What additional skills will help you stand out?
Professional QA experience in the game development industry
Knowledge of PC architecture and component interaction (CPU, GPU, memory, disk I/O)
Experience with game client profiling and GPU profiling tools
Experience with high-load or distributed backend systems
Experience evaluating, adopting, or integrating AI-assisted tools to improve team workflows, test development, and reporting
Work mode
This position is open in our Belgrade or Nicosia office
During the probation period: onsite work
After the probation period: onsite or hybrid (3 days per week in the office)
This role is eligible for relocation & immigration support
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:
Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave Compensation, Maternity Leave Benefits
Premium Private Health Insurance
Career development and education opportunities within the company
English clubs and platform for learning languages
Mental well-being program (iFeel)
Commuting allowance
Company events
FitPass membership
Discounts for employees
Personal Gaming Account
Coffee, fruits, and snacks in the office
On-site canteen with subsidized prices for food and drinks
Seniority Awards
Referral program - you can recommend the best talents to the Company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
УдалённоКанада, США; This role is fully remote; however, we’re only open to candidates based in the US and Canada; We strongly encourage candidates of all backgrounds to apply
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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