Вакансии

Location: London; Belgrade Workplace: Hybrid About the role Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless. Responsibilities - Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention - Build data pipelines and real-time feature computation that power detections and ML models - Collect and process trust signals - Integrate fraud decisions into product, auth, and payment flows across Perplexity - Own reliability of production services: observability, alerting, safe rollouts, incident response - Build internal tooling for investigation, enforcement, and auditability - Partner with fraud analysts to turn new abuse patterns into production detections quickly Qualifications - 5+ years building and operating high-throughput, latency-sensitive backend systems in production - Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust) - Hands-on experience with Kubernetes, Terraform and cloud infrastructure - Solid data fundamentals: stream/batch computations, caching and storage trade-offs - Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely Nice to have - Fraud prevention, anti-abuse, or payments-risk domain experience - Experience serving ML models in production - Client-side experience (web or mobile) for signal collection

Location: Chicago, New York City, London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines delivering data across DRW. As a Senior Data Engineer in our Unified Platform organization, you will design, build, and operate the data platform and managed services used by Traders, Quantitative Researchers, and Back-Office personnel. You will own engineering projects and service components, work directly with platform users to solve technical problems, and contribute to metadata management and governance capabilities. This is a hands-on role combining technical design ownership, software development, production support, and mentorship within the broader platform architecture. Key Responsibilities Design, build, and operate managed platform services for data storage, distributed query execution, batch and streaming processing, and workload orchestration. Own technical designs and implementation decisions for services and components within the broader platform architecture, and lead their delivery from requirements through deployment and support. Automate provisioning, configuration, upgrades, and monitoring for managed services, reducing manual operations and improving consistency across deployments. Build and integrate metadata management tools, including data catalogs and lineage tracking, to help users discover datasets and understand their structure, ownership, and dependencies. Implement schema governance, data quality checks, access controls, and usage tracking in line with established policies, working with security and data stakeholders on technical requirements. Work with users of managed services to diagnose integration and performance issues, clarify technical requirements, and improve the services their workloads depend on. Improve the reliability and performance of managed services and shared processing infrastructure through observability, capacity management, and testing. Participate in production support and incident response for these services, resolving root causes and maintaining operational runbooks. Deliver platform upgrades and data migrations with appropriate validation and compatibility checks to protect downstream workloads. Lead design and code reviews for the services you own, document technical trade-offs, and contribute improvements to architectural patterns shared across the team. Mentor less experienced engineers through hands-on collaboration and feedback, promoting maintainable code, automated testing, and sound operational practices. Required Qualifications 7+ years of experience working with modern data technologies and/or building data-intensive distributed systems. Expertise in Java and/or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL, Bash, and Linux environments. Experience building and operating managed data or infrastructure services offered to other teams, including operational automation and production support. Demonstrated ownership of engineering projects or service components from technical design through deployment and ongoing operation. Strong understanding of distributed systems trade-offs, including fault tolerance, concurrency, partitioning, and recovery from partial failures. Production experience with batch and streaming systems, including practical knowledge of state management, retries, replay, and data consistency. Experience with data processing or query technologies such as Flink, Spark, or ClickHouse , and the ability to evaluate their performance and operational trade-offs. Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka. Familiarity with open table formats such as Iceberg or Delta Lake. Practical experience with data modeling, schema governance and evolution, and data quality controls. Experience integrating metadata management, data cataloging, or lineage capabilities into data systems. Experience with data formats and serialization systems such as Arrow, Parquet, Protobuf , or Avro. Experience with cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring. Strong communication and problem-solving skills, with the ability to troubleshoot issues with platform users, collaborate across teams, prioritize competing work, and deliver in a fast-paced trading environment. Desirable Qualifications Experience extending or scaling data catalogs or lineage tracking tools across multiple storage and compute technologies. Experience implementing access controls, usage tracking, or other governance capabilities in shared data environments. Familiarity with financial datasets and the needs of trading, quantitative research, or back-office users. The annual base salary range for this position is $160,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

Location: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Security and Threat Operations Engineer at OnePay, your work will have a direct impact on protecting our fast-moving fintech environment. You will turn production signals into actionable detection, response, and hardening initiatives, partnering closely with Product Security, Platform Security, and Engineering teams. Your efforts will enable us to proactively identify, monitor, and stop compromised behaviors across OnePay's products and infrastructure, ensuring the continued safety and trust of our business and customers. You will: - Build and tune detections, alerts, and monitoring workflows across cloud, application, identity, and edge environments. - Review traffic patterns across APIs, authentication flows, and WAF telemetry to identify malicious activity, abuse patterns, and anomalous behavior. - Use AI responsibly as a force multiplier for triage, analysis, and workflow automation, while helping define guardrails for AI-enabled systems. - Help operate OnePay's vulnerability management program by triaging, prioritizing, and driving remediation for findings from Wiz, vulnerability scanning, and related workflows. - Develop Python-based tooling and automation to improve investigations, enrichment, response, and operational scale. - Partner with Product Security to translate threat models, security reviews, and product risks into production detections and response playbooks. - Investigate security events end to end, including triage, scoping, containment support, and follow-through on remediation. - Support vulnerability management and operational security practices in ways that align with PCI and SOC 2 expectations. - Participate in proactive threat hunting, detection improvement, and a 24x7 security incident response on-call rotation. TOOLS WE USE We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. We also embrace AI-assisted development, so engineers have their choice of Claude Code or Cursor to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. YOU BRING - 5+ years of experience in information security, threat detection, security operations, detection engineering, or incident response, ideally in a cloud-native or product-focused environment. - Strong experience investigating suspicious activity in web, API, authentication, and infrastructure telemetry, with the ability to distinguish attacker behavior from normal production noise. - Demonstrated ability to review traffic and event patterns for signs of malicious activity, fraud, account abuse, credential attacks, reconnaissance, and exploitation attempts. - Strong Python programming skills and the ability to write maintainable code for automation, enrichment, analysis, and security operations tooling. - Experience building and tuning detections in a SIEM or detection platform and working with observability and logging systems such as CloudWatch, Datadog, or similar platforms. - Experience operating or supporting a vulnerability management program, including triage, prioritization, remediation tracking, and stakeholder coordination. - Familiarity with cloud and application security findings from platforms such as Wiz, including CNAPP, runtime, code, and vulnerability scanning use cases. - Experience with at least one major cloud provider, preferably AWS. - Working knowledge of identity and access systems, modern authentication flows, and the security implications of internet-facing applications and APIs. - Strong understanding of threat modeling, risk prioritization, and practical security controls across applications, infrastructure, and cloud environments. - Practical experience using AI tools in security workflows, along with sound judgment about AI-specific risks such as prompt injection, data leakage, excessive tool access, and weak auditability. - Excellent analytical, communication, and cross-functional collaboration skills, especially in environments where security needs to move quickly with product and engineering teams. - Drive and proactivity - everyone here is a builder and executor WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Lisbon, Portugal At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your Mission At Catawiki, our Platform Horizontal has evolved from solely managing the cloud into a broad function supporting Reliability, Developer Experience, Security, and Quality. We take a holistic approach to creating systems and tools that help developers deliver applications seamlessly and reliably without getting bogged down in infrastructure complexity. As a Platform Engineer , you’ll work at the intersection of development, infrastructure, and operations. You’ll help shape and execute our long-term platform vision, empowering Catawiki teams to deliver value to customers with speed, reliability, and security. What You'll Do You’ll build and improve the platform capabilities that enable our engineering teams to develop, deploy, and operate applications effectively at scale. Build a self-service developer platform with a particular emphasis on developer experience, designing and maintaining platforms that abstract complexity and give teams the tools to deploy, monitor, and optimise their applications. Orchestrate cloud-native infrastructure , manage Kubernetes clusters and other cloud resources, focusing on performance, scalability, and cost efficiency through FinOps practices. Boost developer productivity by building and enhancing CI/CD pipelines, GitOps workflows, and reusable templates that accelerate development and deployment cycles. Drive reliability and scalability through applying practices for fault tolerance, disaster recovery, and scaling so applications run smoothly under changing conditions. Improve platform operations usage and enhance our observability stack to monitor platform health and resolve incidents proactively. Collaborate and innovate by partnering with product teams to understand their needs, build simple and impactful solutions, and champion cloud-native best practices across Catawiki. What You'll Bring You measure what matters, introduce changes gradually, and treat failure as a normal part of learning. You use tooling and automation wherever possible to reduce toil, and enjoy sharing knowledge with others. Cloud-native expertise : At least 5 years of production experience with Kubernetes, container orchestration, and cloud platforms such as GCP, AWS, or Azure. Automation mindset : Experience automating workflows and CI/CD pipelines and working with infrastructure-as-code tools such as Terraform or Ansible. Observability experience : Hands-on experience using and maintaining tools such as Prometheus, Grafana, ELK, or OpenTelemetry to improve reliability and performance. Strong ownership : You proactively address platform issues and work toward long-term scalability and resilience. Collaborative approach: You work effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions. Continuous learning : You keep developing your knowledge of cloud-native tools, technologies, and practices in a fast-moving ecosystem. How We Work The Platform Horizontal supports engineering teams across Catawiki by reducing infrastructure complexity and providing reliable, secure, and scalable foundations. We collaborate closely with product teams to understand their challenges and improve their development experience. We favour self-service capabilities, reusable solutions, automation, and measurable, gradual improvements. We share knowledge and treat reliability, security, quality, and developer experience as shared responsibilities. Where You'll Be This is a Hybrid role based in Lisbon. You will work from our Lisbon Hub a minimum of 2 days per week. This role is open to candidates worldwide. For selected candidates, Catawiki can provide visa sponsorship and relocation support to the relevant location , subject to eligibility and applicable restrictions. In Return You’ll be part of an enthusiastic, highly motivated team of 800+ Catawikians . A competitive Annual Gross Base Salary depending on your level, competencies, and overall experience. Meal Allowance Card stipend per working day, in addition to salary. Health Insurance from day 1 (including dental coverage), with access to multiple hospitals and clinics and a vast wellness network. A Work From Home Allowance to help with your monthly household bills. Commuting between your home and our office is covered by Catawiki. Amazing Office right in the centre of Lisbon. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

- Владение production-инфраструктурой и Kubernetes-кластерами. - Развитие инфраструктуры на Terraform/Terragrunt: network, data и identity.

Сопровождение и администрирование кластеров kubernetes (прикладные java, nodejs); Что важно:

Проработка решений для новых бизнес-задач заказчиков и развитие облачной платформы; Развитие технических компетенций смежных команд: проведение демонстраций, консультрование;

– Опыт разработки на Rust от 3-х лет. – Опыт проектирования, разработки и оптимизации отказоустойчивых модулей бизнес-логики на Rust с использованием async/await, Tokio, Futures.

Location: Canada Wide - Excluding Quebec Workplace: Hybrid Safe Software is looking for Senior DevOps to join our DevOps team. As a Senior DevOps engineer, you will lead the design and implementation of scalable CI/CD pipelines, develop and maintain cloud infrastructure, drive infrastructure automation initiatives, troubleshoot complex systems, and mentor junior team members. Your work will play a critical role in improving software delivery efficiency, system reliability, and the speed at which Safe delivers value to customers. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM As part of the DevOps team, you'll join a group of DevOps Engineers, Cloud Infrastructure specialists, and Software Developers who work collaboratively to deliver the platforms, services, and automation that support FME, the world's leading all-data, any-AI integration platform. The DevOps team is responsible for developing and maintaining CI/CD pipelines, supporting and managing cloud-based environments and services, monitoring system performance and reliability, maintaining software configuration and deployment processes, managing source code repositories and integration practices, troubleshooting operational issues, and driving continuous improvements that enhance the speed, quality, and efficiency of software development and delivery. WHAT YOU’LL BE DOING As a Senior DevOps, you will: - Lead the design and implementation of scalable and robust CI/CD pipelines to support agile development practices and rapid deployments. - Develop and manage cloud infrastructure, ensuring high availability, performance, and security across multiple platforms and environments. - Conduct system troubleshooting and problem-solving across platform and application domains, ensuring critical system security, availability, and fault tolerance. - Evaluate new technology options and vendor products, making recommendations to enhance and scale the company’s DevOps practices. - Mentor and provide guidance to junior DevOps engineers, fostering a culture of technical excellence and continuous improvement. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. Required skills: - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - Advanced certifications in relevant DevOps technologies, cloud platforms (AWS, Azure, Google Cloud), Kubernetes, Docker, or similar technologies. - 5+ years of experience in a DevOps role, with significant expertise in cloud services, automation, and CI/CD methodologies. - Deep understanding of the specific tools and systems used at Safe Software, coupled with a broad understanding of the regulatory and compliance landscape in the software industry. - Technical skills: 1. Expert in cloud computing, network management, and software development practices. 2. Proficient in scripting languages and automation tools. 3. Skilled in monitoring and optimizing large-scale distributed systems. 4. Proficient in using AI coding agents like Claude in a production setting for various tasks such as issue debugging, testing, and feature generation. - Effective communication skills: 1. Strong leadership and mentoring skills. 2. Excellent problem-solving and project management abilities. 3. Effective communicator with the ability to convey complex technical information clearly. Desired skills / Bonus points: - Demonstrated ability to lead complex technical projects and drive innovation in DevOps practices, significantly improving operational and development processes. ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: Москва; Санкт-Петербург Workplace: Офис, Гибридный Яндекс Пэй — современный финтех-сервис Яндекса для платежей и управления личными финансами. Мы, команда SRE Финтеха, строим надёжную и отказоустойчивую инфраструктуру, обеспечивая бесшовную работу сервисов для наших пользователей. Приходите к нам делать современный банк на актуальном технологическом стеке! Яндекс Пэй, Сплит, Сейвы, карта Про — всё это сервисы Финтеха Яндекса, которые помогают нашим пользователям быстро, комфортно и безопасно проводить оплату, а также управлять собственными финансами. Мы делаем эти процессы бесшовными, создавая такой банк, которым нам самим хочется пользоваться. Команда SRE Финтеха отвечает за надёжность и доступность финансовых сервисов в компании. Мы придумываем, реализуем и сопровождаем разные архитектурные решения, создаём комфортные условия для разработки. Сейчас мы поддерживаем более трёхсот сервисов, развернули десятки кластеров разных баз данных и следим за тысячей виртуальных машин. Используем открытые технологии и популярные практики, работаем с Kubernetes, Istio, Terraform, Ansible и GitLab. Ищем инженеров с разным опытом, не обязательно из банковской сферы. Для начинающих подберём ментора, а сильным специалистам найдём возможности для реализации. Обязанности Развитие инфраструктуры Вы будете развивать ядро облачной платформы для Яндекс Пэй, Сплита и других сервисов: улучшать и автоматизировать инфраструктуру, устранять узкие места, избавляться от технического долга, обеспечивать надёжность и безопасность по мере роста нагрузки и количества сервисов. Архитектурные решения Вы будете заниматься глубокой проработкой архитектурных задач и внедрять их в продакшн. Речь идёт о серьёзных решениях, которые надолго станут частью платформы и будут определять её развитие. Инцидент-менеджмент Вы будете участвовать в работе с инцидентами: подключаться в сложных случаях, разбирать причины произошедшего и формировать задачи, которые снизят риск повторений. Большую часть инцидентов обрабатывает дежурная смена. Больше о разработке в Яндексе — в канале Yandex for Developers Требования * Работали с Unix-системами * Понимаете, как пользовательские приложения взаимодействуют с ОС * Работаете с базами данных SQL и NoSQL * Строили или администрировали отказоустойчивые системы, работающие 24/7/365 с минимальным участием человека * Понимаете, как устроены сетевые протоколы и зачем нужна маршрутизация * Писали на Python, C++ или Go * Локализовали проблемы в больших и сложных системах * Хотите развивать новый продукт Будет плюсом * Работали с публичными облаками: AWS, GCP, Yandex Cloud * Работали с K8s, Istio, Cilium * Использовали в работе Terraform/Terragrunt, Ansible, GitLab CI * Улучшали рабочие процессы * Умеете работать с большими проектами и декомпозировать их до прозрачного уровня * Имеете представление о практиках FinOps

— Развёртывание и управление Kubernetes кластерами на bare metal.

5+ лет в бэкенд-разработке (Python 3+, Django или что-то подобное). REST API, микросервисы, опыт работы с Docker/Kubernetes.

• Проектировать и разрабатывать backend-сервисы на Java.

Location: Москва АС "Платформа Кибербезопасности" . В основе решения используются продукты SDP Hadoop и SDP Ozone в качестве BigData хранилищ и обработки данных. В контуре сопровождения несколько высоконагруженных кластеров и более 3000 потоков обработки данных Обязанности * настройка, поддержание работоспособности и развитие промышленных и тестовых сред (Hadoop, Ozone, Kafka, Spark, Flink) * обновление ОС на стендах (SberLinux OS Server, RHEL) и контроль версий ПО * устранение возникающих инцидентов и технологических задач по компонентам платформы * устранение рисков кибербезопасности (уязвимости компонентов, compliance-несоответствия) * участие в задачах развития платформы в части повышения надёжности и стабильности компонентов * подготовка и проведение приёмо-сдаточных испытаний, внедрение новых версий ПО * настройка и поддержка интеграционных взаимодействий со смежными системами АС Антифрод * проведение риск-менеджмента и capacity-менеджмента * управление дефектами и проблемами в Jira/ITSM * развитие процессов автоматизации DevOps, CI/CD и ротации секретов * развитие инфраструктурного и прикладного мониторинга компонентов системы. Требования *  опыт сопровождения и администрирования высоконагруженных автоматизированных систем в финтехе * знакомство со стеком: Apache Flink, Apache NiFi, Apache Spark, Kubernetes, Docker * опыт настройки Ranger / Sentry (управление доступом в Hadoop) * опыт работы с secman / HashiCorp Vault (управление секретами) * знакомство с AI/ML-инфраструктурой (LlamaIndex, LangChain, векторные БД) * опыт миграционных проектов (vendor replacement, инфраструктурная миграция) * знание ClickHouse, Nginx * опыт автоматизации DevOps и CI/CD пайплайнов. Условия * работа в офисе * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

— Коммерческий опыт разработки на Python от 3 лет.

Location: Las Vegas, United States Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

От 4 лет опыта коммерческой разработки, из них от 2 лет на Go (HTTP/gRPC, конкурентность, тестирование).

Location: Москва Мы разрабатываем систему для юридических лиц, которая автоматизирует весь жизненный цикл инвестиционной сделки. Наши команды работают над следующими направлениями: * алгоритмизированный и AI поиск потенциальных сделок и клиентов * управление процессом заключения инвестиционных сделок * финансовые расчеты и оценка портфеля * построение финансовой и управленческой отчетности по портфелю инвестиций Сбера * инвестиционные сервисы для компаний - наших клиентов. Работаем с микросервисной архитектурой (Kubernetes, Docker, Istio, Kafka). Используем specififcation-driven подход к разработке и активно развиваем эту методологию внутри Сбера. Обязанности ### **Чем ты будешь заниматься:** * взаимодействием с ProductOwner для выявления и формализации требований к автоматизации * проектированием решений, связанных с автоматизацией процессов, согласованием решений с разработкой, командами смежных систем, поддержкой и кибербезопасностью * формированием спецификаций по задачам в Git согласно SDD, их дальнейшим сопровождением в процессе разработки и поддержкой в процессе тестирования * выполнением приемки разработанного функционала, участием в финальных приемо-сдаточных испытаниях * проведением консультаций разработчиков в процессе разработки функционала и тестировщиков при его тестировании * активным изучением, применением и разработкой AI-решений. Требования ### **Ожидаем, что ты имеешь:** * опыт в роли Системного аналитика от 5 лет * опыт проектирования микросервисов и межсервисных взаимодействий: OpenApi, AsyncApi, WebSocket, Kafka * опыт проектирования БД, написания SQL-запросов * опыт работы по SDD * опыт проектирования пользовательских процессов, разработки диаграмм в нотации UML * понимание процессов CI/CD. ### **Будет плюсом:** * умение читать и понимать код * владение Postman / Insomnia * опыт работы с DBML * владение инструментами AI для анализа, генерации и автоматизации. Условия ### **Мы предлагаем:** * гибридный график * современный офис на Вавилова, 19 с собственным паркингом, столовой, кафетериями, зонами отдыха и спортзалом * ежегодный пересмотр зарплаты и годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь наставника на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * льготная ипотека и кредитование от Сбера * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров.