Вакансии

Location: Remote - Riyadh MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical position focused on defining, validating, and guiding architectures for AI, analytics, cloud-native applications, and large-scale data platforms. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team through technical discovery, architecture design, proof-of-concept (PoC) delivery, production onboarding, performance validation, and long-term expansion. Success in this role requires hands-on expertise across the data stack, strong architecture and communication skills, and ownership of customer technical outcomes. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, data sources, application requirements, infrastructure constraints, and success criteria. Design end-to-end architectures that address those requirements. Data Platform Architecture: Design solutions across the full data stack, including ingestion and change data capture (CDC), batch and streaming pipelines, data processing, lakehouse storage and table formats, catalogs, query and analytics engines, orchestration, data quality, governance, and AI integration. Understand how these components work together and guide customers through architecture decisions and tradeoffs. AI and Analytics Workload Design: Define and validate architectures for AI/ML training and inference, analytics, lakehouse environments, high-performance data pipelines, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in AIStor, object storage, S3-compatible architectures, distributed systems, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & PoC Delivery Customer Technical Advisor: Build trusted relationships with customer technical stakeholders across data engineering, analytics, AI, infrastructure, platform, security, application, and operations teams. Guide customers toward informed architecture decisions. PoC Ownership and Delivery: Plan and conduct customer PoCs from initial scope through final technical review. Agree on success criteria, design and deploy the solution, integrate the required data stack components, build representative use cases, run functional and performance tests, troubleshoot issues, document results, and drive the PoC to a clear outcome and production plan. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering to help customers move from PoC to production and expand adoption across additional workloads and teams. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and deployment patterns across private, public, and hybrid cloud environments. Solution Integration: Work with customer teams and technology partners to integrate data sources, ingestion and streaming tools, processing and analytics engines, AI platforms, identity systems, observability tools, and infrastructure components. Technical Presentations and Enablement: Deliver architecture presentations, whiteboard sessions, demonstrations, workshops, and technical enablement for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Lead or contribute to technical responses covering the full data platform, including architecture, integrations, security, scalability, performance, and operational requirements. Product Intelligence & Market Expertise Product and Engineering Feedback: Capture customer requirements, PoC findings, integration needs, and field feedback. Work with Product and Engineering teams to resolve gaps and inform priorities. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competing data platforms. Explain technical differentiation in the context of customer use cases. Your Skills and Experience: 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience designing, integrating, and troubleshooting end-to-end data platforms. This should include several of the following: ingestion, CDC, batch and streaming processing, lakehouse architecture, catalogs, query engines, orchestration, data quality, governance, and AI/analytics workloads. Demonstrated experience leading customer PoCs, including defining success criteria, deploying and integrating components, validating functionality and performance, resolving technical issues, and presenting results. Strong understanding of object storage and S3-compatible architectures, including security, replication, data protection, performance, and scale-out design. Hands-on experience with Linux, networking, storage systems, containers, Kubernetes, and modern data center infrastructure. Practical experience with relevant data stack technologies, such as Kafka, Debezium, NiFi, Spark, Flink, Trino, Starburst, Iceberg, Delta Lake, or data catalogs. Experience with every listed technology is not required. Experience designing or supporting AI, machine learning, analytics, lakehouse, or large-scale data pipeline environments. Experience with public and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to lead technical discovery, design architectures, build demonstrations, analyze performance, troubleshoot integrations, and communicate tradeoffs clearly. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate with both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: LATAM Role Overview We are seeking a Senior Full Stack Web Developer to join an engineering team supporting a global entertainment and media organization. You will work within an agile development team, partner closely with product management, perform code reviews, and mentor other developers as you help build and maintain high-quality web applications. This role is a strong fit for self-motivated engineers who are passionate about both the business and the technology behind it. Deep knowledge of JavaScript, TypeScript, HTML, CSS, and Node.js is essential, and hands-on experience with React, Redux, Jest, Azure SQL, and MongoDB is a strong plus. Just as important is the ability to adapt quickly as technologies and priorities change. Key Responsibilities Develop and maintain web applications using modern web technologies. Collaborate with cross-functional teams, including product management, to define, design, and ship new features. Write clean, maintainable, and efficient code. Ensure the performance, quality, and responsiveness of applications. Identify and resolve bottlenecks and fix bugs. Guide and mentor other full stack developers on business and technical concepts to improve code quality and delivery speed. Help maintain code quality, organization, and automation across the codebase. Participate in code reviews and provide constructive feedback to peers. Stay current with industry trends and emerging technologies. Required Qualifications Minimum of five (5) years of experience as a Full Stack Web Developer or in a similar role. Mastery of front-end technologies such as HTML, CSS, JavaScript, and TypeScript, along with frameworks like React, Angular, or Vue.js. Strong experience with a Node.js framework such as Hapi.js or Express.js. Experience with database systems such as MongoDB, MSSQL, MySQL, PostgreSQL, or similar. Experience working on large single-page web applications with complex state management. Familiarity with UI frameworks such as Bootstrap, Semantic UI React, Material, Tailwind, or similar. Experience writing unit and integration tests using tools such as Jest, Chai, Cypress, or similar. Experience performing code reviews to ensure security, code quality, maintainability, and knowledge sharing across the team. Familiarity with version control systems such as Git. Solid understanding of RESTful APIs and web services. Very strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. Preferred Experience Hands-on experience with React, Redux, Jest, Azure SQL, and MongoDB. Experience with SAP/BTP integrations. Experience with cloud services such as AWS, Azure, or Google Cloud. Experience working in FinTech or financial systems environments. Experience working in agile development teams. Experience mentoring or leading other developers. Ideal Candidate The ideal candidate is a seasoned full stack engineer who takes ownership of quality, from clean code and solid test coverage to thoughtful code reviews. They are comfortable working across the front end and back end, collaborate easily with product and engineering peers, and enjoy helping other developers grow. Just as important as technical depth is the ability to adapt to changing technology, understand the business context behind the work, and contribute to a team culture of collaboration and continuous improvement. Your partner for AI, consulting, software development, and nearshore staffing.

Задачи: — null Требования: — Опыт работы с Power BI (дашборды, DAX, модели) не менее 3х лет — Уверенный SQL (joins, window functions, оптимизация) — Опыт работы с ETL/ELT процессами — Опыт работы с реляционными БД (PostgreSQL / MS SQL / др.) — Опыт построения Tabular OLAP-кубов (SSAS / Azure Analysis Services / др.) — Опыт работы с облаками (Azure / AWS / GCP) Условия: — Гибридный или удаленный график работы, но полная загрузка — Только штат и полная занятость, без возможности работать с ИП — Добровольное медицинское страхование и страхование жизни (ДМС) — Ежегодный пересмотр заработной платы — Годовой бонус 15% — Корпоративные скидки

Agvend — B2B SaaS-платформа для агросектора Северной Америки с 8-летним опытом на рынке и ~30% рынка ag-retail в США/Канаде. В компании около 150 человек, из них ~100 в R&D. Полностью удалённая работа с офисами в Канаде, США и на Кипре для желающих. Стек технологий: Python, Django, DRF, Postgres, ClickHouse, AWS на бэкенде; TypeScript и React на фронтенде. Архитектура — модульный монолит с микросервисами-сателлитами. Используются 5 продакшен Kubernetes кластеров, около 150 тенантов, ~5K RPM. Инструменты CI/CD: CircleCI, Docker/ECR, Helm, Terraform, blue-green деплой. Задачи: — Полноценный fullstack: разработка фич end-to-end от API до UI без разделения на бэкенд и фронтенд. — Владение зоной ответственности: архитектура, code review, ответственность за продакшен. — Работа с реальной нагрузкой: Postgres и ClickHouse, мульти-тенантность, миллионы записей. Требования: — Senior уровень, 5+ лет коммерческой fullstack-разработки. — Продовый опыт на обоих концах: Python/Django/DRF и React/TypeScript. — Уверенные знания Python и Django/DRF, опыт работы с Postgres под нагрузкой. — React и TypeScript на продуктовом уровне, минимум 2 года. — Самостоятельность, умение вести зону без микроменеджмента, прямое взаимодействие с PM. — Русский язык — основной рабочий, английский — рабочий уровень. — Будет плюсом: опыт с ClickHouse, аналитическими БД, highload/финтех, Kubernetes, Helm, Terraform, CircleCI, очередями и распределёнными системами (Kafka, RabbitMQ), идемпотентность. Условия: — Работа в сеньорской команде, плоская структура без техлидов. — Безлимитные отпуска, soft management, отсутствие фиксированных часов, асинхронная коммуникация. — Оффсайты два раза в год (Кипр и Грузия/Армения). — Бюджет на обучение, конференции и технику. — Очень низкая текучка, многие работают по 5–6 лет. — Коммуникация внутри команды на русском языке. Контакт для отклика: @cant_exit_vim

Location: Ireland, Dublin 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. We are looking for an inspirational and hardworking person to join the Platform Hosting Cloud Security Engineering team at SIE! You'll be joining a team of innovative engineers who are unified in their mission to make PlayStation the best and most secure gaming platform. This support is fulfilled by minimizing impact to the platform while ensuring security needs are met. This role is highly technical and requires a shown grasp of security principles and how they are applied to production environments. You will assist in the planning, design, development, testing, and management of security tools and processes that provide protection and visibility of our cloud environments. Key Responsibilities Design, architect, and implement security controls and frameworks for PlayStation Infrastructure Be responsible for the detection of security gaps, and lead efforts to mature security tooling and operational processes Work with product and platform teams to define system requirements, engineer, and implement cloud based security applications and controls Write code to automate security processes which seamlessly integrate into code builds and deployments, applying DevSecOps processes and tools Architect, develop, and deploy automation solutions that help audit, secure, and affect changes across multi-cloud environments Champion tools for improving platform availability using automated protection mechanisms Document security designs, operating procedures, and technical recommendations clearly. Review existing security policies and maintain their freshness and understandability. Mentor senior and junior engineers and guide them in making design choices that protect Platform Advocate for security and privacy best practices across engineering teams. Qualifications 5-7+ years of experience in cloud security, security engineering, DevOps, platform engineering, or a related field. Hands-on experience securing cloud infrastructure in AWS, GCP, or both. Understanding of common security frameworks and compliance concepts, such as NIST or PCI DSS Proficient in multiple programming and scripting languages such as Python and Go Experience architecting and deploying IaC tools such as CloudFormation and Terraform Familiarity with CI/CD and DevOps tools and practices, such as GitHub, Jenkins, Kubernetes, and automated deployment pipelines. Shown experience building end-to-end enterprise level systems Hands-on experience with utilizing tooling like Wiz and AI tooling like Codex, etc. Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams. Proven record of success in coaching and growing people Technical certifications or other demonstrations of passion in security and technology such as CISSP, CCSP, AWS Certified Security are a plus! Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams. Technical certifications or demonstrated passion for security and technology, such as Security+, AWS Certified Security – Specialty, CISSP, or CCSP, are a plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR 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: Remote - USA Clover is reinventing health insurance by working to keep people healthier. We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds and swaths of life to help build the future of healthcare. Clover's engineering team is empathetic, caring, and supportive. We are deliberate and self-reflective about the engineering team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We are looking for senior software engineers that want to solve many different kinds of problems. You will work with other engineers, data scientists, and healthcare professionals and build tools to improve the health of real people. As a Senior Software Engineer, you will: Be responsible for simplifying the complexities of healthcare by building systems that multiply human efforts. Build and maintain production software that implements healthcare interoperability standards such as FHIR and HL7: Develop and test the APIs, services, and data pipelines that work with FHIR resources and HL7 messages. Translate standards and implementation guides into code, data models, validation logic, and automated tests. Preserve clinical meaning and data quality as information moves between systems. Master new tools and technologies to solve problems and move our goals forward. Help the team define and maintain development practices that let us iterate quickly while maintaining quality — including writing tests and documenting key implementations. Work with Product Managers and operational staff to develop new features. You should get in touch if: You have hands-on experience building production software with FHIR and HL7. You have been a Software Engineer for 5+ years and have experience in Python, Javascript, or Go. You have experience writing SQL queries in Postgres, MySQL, BigQuery, Snowflake, or other database systems. You are comfortable working as a data engineer cleaning, normalizing, and improving data quality. You can create and call Restful APIs, experience with gRPC is a plus. You have experience working with cloud services such as GCP or AWS You will love this job if: You are excited by big, complicated problems and try to solve them with pragmatic, well-engineered solutions. You have a natural curiosity that drives you to find out how things work and if they can work better. You enjoy working in a fluid, collaborative environment, defining and owning priorities that add to our larger goals. You can bring clarity to ambiguity while remaining open-minded to new information that might change your mind. You are not hesitant to jump in to help fix things that are broken and you feel great responsibility to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description. You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Reimbursement for office setup expenses Flexibility to work from home, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care. With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software. Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $169,200 — $220,000 USD

Задачи: — Проектировать и развивать identity-сервисы (SSO, MFA, управление сессиями, федерация). — Писать чистый, конкурентный и высокопроизводительный код на Go. — Работать с OAuth 2.0, OIDC, JWT, Keycloak, AWS Cognito. — Быть внутренним экспертом по безопасности: проводить security reviews и threat modeling. — Менторить инженеров и участвовать в формировании технического roadmap. Требования: — 7+ лет в бэкенде, из них 5+ лет уверенного Go + gRPC. — Глубокое понимание IAM, OAuth2, OIDC, JWT, криптографии и управления сессиями (опыт от 3-х лет). — Опыт работы с AWS, Kubernetes, IaC (Terraform / Terragrunt / OpenTofu). — Понимание OWASP Top 10, принципов secure coding и federated identity. — Английский от Upper-Intermediate (свободное общение с международными командами). Условия: — Локации: Albania, Azerbaijan, EU, Georgia, Macedonia, Serbia, Slovenia. — Формат: удаленка, гибрид или офис. — Возможность зарабатывать до +1000 EUR/мес за участие в жизни компании (входит в годовой бонус). — Компенсация сертификаций (AWS, PMP и др.), доступ к корпоративному порталу обучения, менторство. — ДМС и компенсация спорта (зависит от типа оформления).

Задачи: — Администрировать и развивать платформу VMware vSphere и VMware NSX-T в ЦОДах. — Поддерживать и развивать практики IaC, CaC (Terraform, Ansible и др.) для максимальной автоматизации. — Настраивать и поддерживать инфраструктуру: серверы, СХД, FC-коммутаторы. — Предотвращать и устранять сбои в системах виртуализации и сетевой инфраструктуры. — Обеспечивать требования информационной безопасности. — Взаимодействовать с командами разработки и эксплуатации. Требования: — Знания принципов работы VMware vSphere и VMware NSX-T (обязательное условие). — Знания принципов построения сетей и сетевых протоколов (BGP, OSPF), опыт работы с сетевым оборудованием Cisco. — Опыт работы с ОС Ubuntu или другими Linux-системами, пользовательский уровень Linux. — Владение одним или несколькими языками автоматизации: PowerShell, Python, Bash. — Опыт внедрения и администрирования высоконагруженных систем (24×7) на экспертном уровне (3+ лет): VMware (несколько кластеров в 3 ЦОД), NSX-T (микросегментация, распределенный файрвол, маршрутизация, IDS, IPS). — Настройка серверов, СХД и FC-коммутаторов с использованием IaC. — Автоматизация рутинных задач с помощью скриптов. — Опыт работы с CI/CD. — Оптимизация инфраструктуры под высокую нагрузку. — Работа с системами мониторинга (Zabbix, Grafana) и логирования (EFK). — Чтение технической документации на английском языке. Будет плюсом: — Опыт эксплуатации высоконагруженных 24×7 систем. — Работа с облачными провайдерами (VMware Cloud, AWS, Azure). — Знание сетевого оборудования Cisco/MikroTik. — Сертификаты по продуктам VMware. Условия: — Удалённая работа. — Официальное оформление по ТК РФ с первого дня. — Онбординг с наставником и регулярной поддержкой руководителя. — ДМС, оплата профессионального обучения, сертификаций, участие в конференциях. — Прозрачный и быстрый процесс подбора с минимумом этапов и экспертными интервьюерами. — Стабильность и развитие: масштабные проекты, зрелая среда, поддержка коллег и руководителей, отсутствие микроменеджмента. — Прозрачная система мотивации, зарплата без задержек на карту. — Официальное трудоустройство по ТК. — Компания развивается и растёт вопреки кризисам.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid The role As our 'Engineering Manager - Data', you will lead the engineering team responsible for creating and maintaining core models on our data platform. In this role, you will balance strategic leadership with technical delivery, shaping platform architecture while staying close enough to execution to ensure delivery, stability, and quality standards are met. You will empower and grow senior engineering talent, establish operational standards, and manage risk and dependencies across key quarterly initiatives. Partnering closely with product, platform, and security teams, you will ensure high-quality, scalable data products are delivered to solve meaningful customer problems. The team & how they connect The 'Dataverse' team consists of nine engineers located across Australia, New Zealand, and Canada who build and maintain the core models in our data platform. Working across remote locations, the team collaborates closely to manage cross-team dependencies and maintain continuous alignment. They foster an environment grounded in knowledge sharing, constructive feedback, and empathy for stakeholders. Initially, the role may focus on - Designing and building core models on the data platform using AWS and Snowflake infrastructure. - Streamlining real-time data flows and streaming architecture across platform services. - Leading delivery execution for complex data platform initiatives while managing dependencies and risks. - Coaching senior engineers, elevating engineering standards, and supporting team adoption of DataOps practices. Where and how you can work This role offers flexible hybrid working arrangements based out of our Sydney or Melbourne offices. You can balance remote work with designated office boost days to connect, whiteboard, and collaborate in person with your team. Here are some of the things we're looking for, for this role: - A background in data platform delivery alongside data engineering expertise and data modelling capability. - Practical familiarity with cloud infrastructure like AWS and Snowflake, along with an understanding of real-time streaming technologies and data flows. - Your leadership style combines delivery focus with the technical breadth required to guide architectural decisions and step in hands-on when required. - Proven capability in coaching senior engineers, setting clear expectations, and supporting individual career progression. - Demonstrated proficiency managing platform health, establishing Service Level Objectives, and leading operational performance. - Strong collaborative skills to build trusted relationships across product, platform, and security teams. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Задачи: — Обеспечение развертывания нашего программного обеспечения и связанного ПО — Проектирование и реализация компонентов в инструментах автоматизации, расширение и замена текущего кода для обновления с новыми функциями — Внесение идей по улучшению приложений и упрощению их использования — Поддержка развернутых облачных сред Требования: — Четкое понимание основ операционных систем Linux — Опыт системного и сетевого администрирования — Опыт управления физическими серверами HP, Supermicro, IBM — Опыт работы с физическим сетевым оборудованием HP, Cisco, Juniper — Опыт работы с системами хранения данных и/или FibreChannel SAN — Хорошие знания систем виртуализации Linux — Опыт работы с управлением логами и мониторингом — Опыт работы с инструментами автоматизации Ansible или Chef — Знание Git, Python и Shell-script для системных операций — Письменный английский достаточен Будет плюсом: — Опыт работы в ISP, хостинг-провайдере или сетевом операторе — Знание гипервизоров (KVM, Xen, HyperV, VMware) — Опыт работы с облачными платформами OpenStack, GCP, AWS — Опыт работы с Docker, Kubernetes — Опыт работы с дата-центрами — Опыт работы с программно-определяемыми сетями Условия: — Работа над интересным проектом с командой опытных профессионалов — Все условия для быстрого профессионального роста и усложнения задач — Конкурентная заработная плата с регулярным пересмотром — Гибкий график работы с учетом вашего часового пояса — Пятидневная рабочая неделя, 8 часов в день (понедельник-пятница) — Ежедневная практика английского языка в процессе работы — Возможность посещать конференции, митапы и другие профессиональные мероприятия

Задачи: — Эксплуатация и тюнинг СУБД: полный контроль над состоянием, профилированием и оптимизацией PostgreSQL под конфигурацию серверов в AWS; — Настройка и сопровождение отказоустойчивости и HA/DR: репликация, Patroni, PgBouncer, бэкапирование и катастрофоустойчивость; — Проактивный мониторинг: поиск медленных запросов (pg_stat_statements, анализ планов выполнения), оптимизация индексов, помощь разработчикам; — Развитие в Data Engineering: участие в построении ETL-пайплайнов и работа со смежным стеком данных (до 60% задач в перспективе); — Автоматизация: написание скриптов для сбора метрик, диагностики и обслуживающих процессов на Python и Bash. Требования: — Опыт от 5 лет в роли экспертного PostgreSQL DBA в высоконагруженных продакшн-средах; — Глубокое понимание PostgreSQL: процессы, память, WAL, блокировки, тонкая настройка autovacuum под High-Load; — Практический опыт с отказоустойчивыми связками (Patroni, PgBouncer, потоковая репликация); — Опыт работы с PostgreSQL в облачной инфраструктуре AWS (EC2 / RDS); — Желание развиваться в Data Engineering (ETL, пайплайн-инструменты); — Английский язык от уровня B2 / Upper-Intermediate для устного общения. Будет плюсом: — Опыт работы с инструментами Data Engineering (Airflow, Python-пайплайны); — Навыки программирования на C; — Опыт проведения миграций и мажорных апгрейдов больших баз данных. Условия: — Достойный оклад ($6000–9000); — Возможность освоить Data Engineering на реальных больших данных с поддержкой ментора; — Стабильный и технически зрелый проект без «пожаров» и хаоса; — Гибкий график работы и высокая степень инженерной автономии.

Location: London, United Kingdom Workplace: fully About InvestEngine We’re a London-based fintech on a mission to make ETF investing simple and accessible. Over 150,000 clients have trusted us with over £3.5 billion in assets — and we’re just getting started. We’ve been featured by MoneyWeek , Finder and Forbes , and we’re growing fast with big ambitions. About the Role We’re looking for a Middle Backend Developer to join our Backoffice team and help us build and improve the technical foundation that supports our growing business. You’ll work on backend challenges, develop reliable and scalable services, and collaborate with Product and business teams to bring ideas to life. You’ll have the opportunity to contribute to technical decisions, improve existing systems, and grow your expertise in a supportive engineering environment. What You’ll Do Design, develop, and maintain backend services in Python 3.11 using Django / DRF Contribute to architectural discussions and technical decisions Work with MySQL and Redis to build reliable and performant systems Build and improve RESTful APIs for internal and external integrations Improve system performance, reliability, and scalability Collaborate with Product, Compliance, and Business teams to deliver impactful features and automate back office processes and workflows Investigate and resolve production issues, identify bottlenecks, and help reduce tech debt Follow best practices in Git workflows, CI/CD pipelines (TeamCity, GitHub Actions), and code quality Contribute to improvements in our architecture, development processes, and internal tooling What We’re Looking For 3+ years of experience in backend development Strong Python skills and good knowledge of Django (or similar frameworks) Good understanding of relational databases , caching, and backend systems Experience with REST APIs and service development Ability to take ownership of tasks and work independently Familiarity with Git, CI/CD practices, and modern development workflows Good communication and problem-solving skills English (B2 level or higher) and fluent Russian Nice to Have Experience working in fintech , regulated industries, or internal B2B tools Familiarity with AWS , Docker , and message brokers (e.g. RabbitMQ, Kafka) Contributions to open source or personal side projects How We Work We’re a lean, collaborative team where developers have the opportunity to influence architecture, product direction, and engineering culture. You’ll have autonomy, trust, and support while working on meaningful, maintainable systems that scale with the business. What We Offer Impact from day one — work on business-critical systems and drive meaningful change Growth opportunities — develop your technical expertise and take on increasing responsibility Modern tech stack — Python 3.11, Django, MySQL, Redis, AWS, GitHub, TeamCity Remote-first and flexible — work from anywhere, at your own pace Unlimited vacation — take time off when you need it, no fixed limits Supportive team — thoughtful, skilled colleagues who care about quality and results Hiring Process 15-min Intro chat with our Talent team Follow-up HR interview with our Talent team Technical interview with the Backend team Gamified cognitive assessment to understand how you think and problem-solve Final conversation with our CTO

Location: Warsaw We're looking for a Senior Infrastructure Engineer who brings strong software engineering skills and a deep understanding of production systems. This role is a good fit for someone who enjoys building systems that make infrastructure more scalable, reliable, and easy to operate – using code, not runbooks. You'll work with a highly collaborative team to design and build the internal platforms that power all of Asana, from product features to AI systems to offline analytics. Our tech stack includes: AWS, Kubernetes (EKS), MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. We’re especially interested in people who think like backend engineers but care deeply about systems – things like failure modes, operational cost, debuggability, and performance. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve: Design and build frameworks, tools, and services that improve the reliability, observability, and scalability of Asana’s infrastructure. Lead end-to-end projects, from scoping and design through to rollout, across multiple systems and teams. Improve the operability of stateful infrastructure like MySQL, OpenSearch, and DynamoDB – and help drive Asana’s long-term vision for storage reliability. Debug production issues across the stack. Yes, there’s an on-call rotation – but this isn’t a pager monkey role. You’re here to fix things properly and make sure they don’t break again. Partner with product teams to shape a service-oriented architecture that enables fast, reliable development. Share knowledge through code reviews, design discussions, and mentorship. About you: Strong software engineering background – you’re comfortable writing production code and designing systems (we use Go, Python, Scala, TypeScript). 5+ years of experience building and operating backend systems at scale. Familiarity with distributed systems and storage technologies (SQL, NoSQL, Search), especially in cloud environments. Experience with AWS services (e.g. RDS, EKS, IAM), Terraform, and monitoring tooling like Datadog or similar. Solid understanding of SRE principles (e.g. SLIs/SLOs, error budgets, incident response), but you approach reliability as a software problem first. Clear communicator and strong collaborator – you're comfortable navigating trade-offs with stakeholders across the stack. Important: If you’re only comfortable with scripting, this isn’t the right role . We’re looking for engineers who build and ship real systems. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Why this role? Founding team: You’ll be one of the first SREs in Warsaw – and a key player in a growing team. Drive real change: This isn’t a role where you’ll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long-term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence – whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration : Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we'll offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment ( with 50% tax deductible costs for author’s rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family-forming support with Carrot . Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 31,000 - 36,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to 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 law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Задачи: — Работа с AWS инфраструктурой, включая VPC, IAM, EKS, RDS. — Управление Kubernetes платформой (EKS) с использованием Karpenter, Cilium, Istio. — Автоматизация процессов с помощью инфраструктуры как кода (Terraform, Terramate) и GitOps (ArgoCD, Atlantis). — Поддержка CI/CD процессов. — Обеспечение наблюдаемости с использованием Grafana, Loki, Tempo, Prometheus. — Участие в on-call ротации и решение инцидентов в продакшене. — Разработка внутренних инструментов на Go для автоматизации повторяющихся задач. Требования: — Несколько лет опыта эксплуатации production-систем на AWS и Kubernetes с реальной ответственностью on-call. — Глубокие знания AWS (VPC, IAM, EKS, RDS). — Практический опыт с Terraform и GitOps-подходом (ArgoCD, Atlantis, Flux или аналогичные). — Умение писать код, опыт или готовность изучать Go. — Сильные навыки расследования, отладки и решения проблем. — Быстрое обучение и адаптация к новым технологиям. — Свободное владение английским языком для коммуникации с командами инженерии, продукта и безопасности. Условия: — Удалённая, офисная или гибридная работа (Лимассол, Кипр). — Гибкий график работы. — Конкурентная зарплата и пакет опционов. — Оборудование для комфортной и продуктивной работы. — Премиум подписка SIMPLE. — 21 день оплачиваемого отпуска плюс праздничные дни. — Фокус на результатах, а не на времени за столом.

Задачи: — Взять на себя ответственность за QA для платформы управления производством, с текущим фокусом на приложение для планирования производственной линии. Требования: — Опыт работы в QA не менее 5 лет. — Опыт работы на позициях Lead/Senior QA. — Опыт организации и ведения QA процессов. — Опыт тестирования backend. — Знание Linux, Docker, облачных провайдеров AWS, GCP, Azure. — Умение работать с неполными требованиями. — Сильные аналитические навыки. — Практический опыт работы с современными AI инструментами. Будет плюсом: — Опыт построения QA процессов с нуля и наставничества QA инженеров. — Опыт работы с AI агентами. — Опыт работы с SAP/ERP. — Опыт мобильного тестирования. — Опыт работы с DevOps и CI/CD. — Опыт работы в стартапах.

Location: Australia Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Strong frontend skills with TypeScript/JavaScript and React Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience building data-oriented interfaces and visualizations 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.

Location: Portugal Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus #LI-Remote 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.

Задачи: — Ускорять и масштабировать LLM в продакшене: оптимизация инференса очень больших моделей (до 1T+ параметров), SGLang, KV/prefix caching, speculative decoding, квантизация. — Разворачивать распределенный инференс: MoE, tensor/expert/pipeline parallelism на multi-node / multi-GPU кластерах (32x H200 + AWS). — Заниматься Post-Training: обучать и дообучать модели компаньонов (SFT, DPO/RLHF), улучшать агентные каркасы и алгоритмы чата. — Осуществлять техлидство (без бюрократии и PM): ревью экспериментов команды NLP/CV (7 инженеров), выбор направлений и оценка гипотез. Требования: — Глубокий опыт оптимизации LLM в продакшене (SGLang, vLLM или TensorRT-LLM). — Опыт распределенного инференса/обучения гигантских моделей (MoE, multi-node clusters). — Понимание профилирования GPU, работы attention-кернелов и KV-cache. — Практика дообучения моделей (RLHF, DPO или аналоги). — Сильный бэкграунд на PyTorch / Transformers. — Английский или русский язык на профессиональном уровне. Плюсом будет: — Опыт разработки CUDA / Triton кернелов. — Бэкграунд в CV (опыт ускорения инференса гигантских GenAI моделей). — Опыт работы в AI-стартапах (Character.ai, Replika, OpenAI и др.) или BigTech (Яндекс, Сбер, T-Bank, Nebius, Meta, Mistral). — Профильное математическое / CS образование (МГУ, МФТИ, ВШЭ, Бауманка или топовые зарубежные вузы). Условия: — Полный Remote и максимум свободы без корпоративного gatekeeping. — Скорость: идеи становятся live-экспериментами за дни, а не quarters. — 28 дней отпуска + 7 wellness-дней в год без больничных листов. — $1,000 на обустройство хоум-офиса раз в 3 года. — Софинансирование обучения, конференций (50%) и медицинских расходов (до $1,000/год). — Доступ к опциональной A-team программе (опционы / % от выручки) после 1 года работы.