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Location: Warszawa, Poland; Madrid, Spain; Belgrade, Serbia; Bucharest, Romania; Vilnius, Lithuania; Rīga, Latvia; Almaty, Kazakhstan; Tallinn, Estonia; Tbilisi, Georgia; Yerevan, Armenia Workplace: fully 🧠 Tech Level: Senior 🗣 Language Proficiency: Requires fluent Russian, as part of the team communication is conducted in Russian 🧾 Employment type: Full time 🌍 Candidate Location: Poland, other EU countries, Armenia, Georgia, Kazakhstan 🕐 Working Time Zone: CET 🚀 Start: asap 🧭 Planned Work Duration: Preliminary 3 months with potential for extension 👥 Customer Description: The customer is a global mobility and urban services platform offering ride-hailing, intercity travel, delivery, and task assistance. 🧩 Project Description: Data-collection platform spanning a worker mobile application, back office, and backend services. ⚙️ Project Phase: Ongoing 👨‍💻Project Team: frontend, 2 backend, QA, product manager 💡 Hard Skills / Must Have: • Functional, integration, API, and end-to-end testing across onboarding, task processing, data capture, review, earnings, and payouts • Testing TTL, expiry, reassignment, quotas, targeting, financial flows, privacy, consent, retention, and erasure • Experience testing financial flows, such as accruals, balances, batch payouts, and reconciliation with third-party payout providers; understanding of data privacy requirements, including consent management, data retention, and erasure. • Experience testing integrations with internal and third-party services, such as authentication, CRM and push notifications, payout partners, LLM providers, and cloud storage (S3). • Strong understanding of microservices, event-driven and asynchronous architectures, including retries, timeouts, idempotency, duplicate events, and eventual consistency. • REST/gRPC API testing and automation with Postman • Automated testing with Playwright, Cypress, Appium, or similar frameworks • Troubleshooting using logs, metrics, traces, databases, message queues, SQL/MySQL, Kafka, Grafana, Kibana, and CloudWatch • Ability to validate consistency across the mobile app (Kotlin), WebView, back office, backend APIs, and distributed services, and troubleshoot partial failures and partner/service outages. • CI/CD, Docker, AWS, distributed-service testing, test strategy, release validation, and production issue analysis ✨ Hard Skills / Nice to Have: • Experience testing media capture and upload on mobile devices (photo, voice, video, text), including device fragmentation, permissions, poor or unstable networks, resumable uploads, and on-device validation. • Experience testing ML/LLM-powered features and validating AI-generated outputs. 📌 Responsibilities and Tasks: • Own test strategy, test planning, and release sign-off for the platform • Test mobile media capture and upload under real-world device and network conditions • Verify task lifecycle, quotas, submissions, review workflows, segmentation, and isolation • Validate financial, compliance, consent, erasure, and audit flows • Build and maintain end-to-end and API automation in CI, including load testing 🧪 Technology Stack: Kotlin, Playwright/Cypress/Appium, Postman, REST/gRPC APIs, SQL (MySQL), Kafka, Grafana, Kibana, AWS (S3, CloudWatch), Docker, CI/CD 📞 Interview stages: • English check (15 minutes) • Internal technical interview (1-1,5 hour) • Client interview (1 hour) • Client interview – cultural fit (45 minutes) 💼 What we offer Model: B2B contract with Bonapolia - one contract, one monthly invoice Rate: negotiated per candidate seniority and client budget Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days) Contract written under your country's law We handle the client-side paperwork: MSA, NDA, invoicing 🏢 About Bonapolia Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US. More at bonapolia.com

Location: Limassol, Cyprus We are looking for an Office Manager to join our team.Responsibilities:Office Supply Management: Organizing and maintaining inventory of all office necessities, including stationery and groceries, to ensure uninterrupted office functioning;Logistics Coordination: Managing interaction with courier services and contractors to guarantee timely delivery and document exchange;Employee Support: Providing administrative assistance to employees to create a comfortable and efficient working environment;Administrative Reporting: Keeping records and preparing regular reports to track office expenses and task completion statuses;Ad-hoc Task Execution: Handling various tasks from the head of the department to support broader operational goals;Workflow Optimization: Implementing AI-based solutions for routine scheduling and inventory tracking to streamline administrative processes.Requirements:Relevant Experience: At least 1 year of proven experience in an Office Manager position to ensure smooth and professional daily office operations;Software Proficiency: Experienced user of MS Office to maintain organized documentation, schedules, and digital records;Language Proficiency: English at a B2 level (with Greek as a valuable advantage) to communicate effectively in a multicultural environment and coordinate with local vendors;Information Management: Ability to process and organize a vast load of information to prevent operational bottlenecks and maintain order;Proactive Problem-Solving: Energetic and proactive attitude with the ability to multitask under pressure to resolve office-related issues quickly;Communication Skills: Strong verbal and written communication skills to provide high-quality assistance to employees and management;AI Tooling Awareness: Interest in using AI tools for task scheduling, automated reminders, and document drafting to increase personal and office productivity.We offer:High salary (plus performance bonuses and salary revision); Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00; 24-days holiday leave; First line seaview from your office; Corporate English and Greek lessons; GYM and SPA in the office; Corporate meals; Eventful corporate life; Exciting work challenges that allow you to grow to your full potential; Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Задачи: — Разрабатывать новый функционал, модули и компоненты внутренних бизнес приложений на 1C Bitrix/Bitrix24 и Laravel — Проектировать high load интеграции с внутренними и внешними сервисами (REST, SOAP, очереди) — Участвовать в техническом проектировании: оценке задач, выдвижении архитектурных решений, построении микросервисов и high load решений — Взаимодействовать с DevOps и Frontend командами (Docker Sworm, Kubernetes, CI/CD) — Поддерживать и развивать существующий код: рефакторинг, оптимизация производительности, обеспечение стабильности и масштабируемости систем — Заниматься подготовкой и поддержкой технической документации (Confluence, Swagger/OpenAPI, PhpDoc) — Принимать участие в планировании спринтов, оценке задач, ретроспективах — Проводить код-ревью, наставничество менее опытных коллег, передачу знаний внутри команды — Писать unit и интеграционные тесты, настраивать статический анализа

Требования: — Опыт в телекоммуникациях и 5+ лет в API-интеграционном тестировании. — Сильный опыт API-тестирования, автоматизации и API parity-тестирования при миграции и re-platforming. — Уверенное владение Postman / Newman, RestAssured или pytest-requests. — Опыт contract-тестирования (Pact или аналоги) и performance-тестирования (JMeter, k6, Gatling). — Знание OpenAPI 3.0, GitLab CI/CD и TMF/MEF-схем. — Умение проектировать production-load сценарии, анализировать latency и разрабатывать regression-тесты. — Опыт с синтетическими данными, UAT и подготовкой отчётности для sign-off. — Будет плюсом: MuleSoft, Quickwork. — Важно: необходим практический опыт API-миграций, параллельного развёртывания и проверки совместимости API. Локация: Европа.

Задачи: — Разработка новых и поддержка существующих фич в SSG и SSR приложениях на Vue 3 / Nuxt 3 — Проектирование и реализация переиспользуемых компонентов, работа с Composition API и TypeScript — Интеграция с REST API: работа с запросами, обработка ошибок, типизация ответов — Оптимизация производительности: lazy loading, code splitting, оптимизация рендеринга — Участие в code review, декомпозиция задач, взаимодействие с backend-командой при проектировании контрактов API — Разработка и поддержка технической документации, написание unit-тестов для компонентов и логики Требования: — Опыт коммерческой разработки на Vue 3 и Nuxt 3 от 2 лет — Уверенное знание Composition API, Options API — TypeScript — уверенное владение: типизация компонентов, props, emit, API-ответов — Понимание SSR / SSG в Nuxt: разница между серверным и клиентским рендерингом, useAsyncData / useFetch — Управление состоянием: Pinia (предпочтительно) или Vuex — Понимание реактивности Vue — HTML, CSS, адаптивная вёрстка — Опыт работы с Git в команде (PR, code review, branching) — Опыт с Vitest / Jest для тестирования компонентов — Понимание Web Vitals и оптимизации производительности — Знание Docker, базовый CI/CD — Опыт работы с дизайн-системами (Figma → код) Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо — Зарплата до 185 000 ₽ за месяц, на руки

BlueTuskr is a full-service e-commerce growth agency focused on paid media, owned media, creative, and analytics to help clients scale profitably. The Opportunity: We're looking for a Graphic Designer and Video Editor who creates with conversion in mind. This hands-on role involves designing for e-commerce brands including emails, landing pages, website sections, and social/ad creative. The candidate will work closely with email, CRO, Shopify development, and paid media teams, and use Claude and other AI tools to enhance workflow efficiency. What You'll Own: — Design campaign and automated flow emails (newsletters, welcome, abandoned cart, post-purchase, win-back, etc.) that are on-brand and built to drive clicks and revenue — Design mobile-first emails with clear hierarchy, scannable layouts, and strong calls to action — Prepare email-ready files and specs for clean builds in Klaviyo and other email platforms — Design landing pages, homepage, collection page sections, product page modules, banners, and promotional assets for Shopify stores — Partner with CRO team to design test variations based on data, heatmaps, and hypotheses — Hand off dev-ready Figma files to web developers with desktop and mobile layouts, organized layers, and clear specs — Design static social and paid ad creative for Meta, TikTok, and other channels — Create ad variations and iterations to support creative testing — Video editing for social and ad use (resizing, trimming, captions, simple motion) where needed — Follow client brand guidelines closely and flag inconsistencies — Apply design and e-commerce best practices including accessibility, contrast, legibility, load-friendly assets, and platform specs — Present work with clear rationale to internal teams and clients — Take feedback well and manage multiple accounts and deadlines — Use Claude and other AI tools to speed up concepting, copy-to-layout exploration, asset variations, and repetitive production tasks while maintaining confidentiality and AI use guidelines Who You Are: — Exceptional designer with strong eye for layout, typography, and color, supported by a portfolio — Conversion-minded, focusing on customer needs and actions — Detail-obsessed, catching misalignments, off-brand colors, and typos — Clear communicator who explains design choices and keeps team updated — Excellent time manager able to juggle multiple clients and deadlines remotely and asynchronously — AI-curious and capable, experienced with Claude or similar AI tools — Adaptable to different brand styles What Success Looks Like in First 90 Days: — Learned brand guidelines and design systems for assigned clients — Consistently deliver email, web, and social designs on time with minimal revisions — Handed off at least one web project or CRO test variation to Shopify dev team with clean, dev-ready files — Integrated AI into workflow to speed production — Earned trust of internal teams who come with ideas Must-Have: — 2–4 years of e-commerce digital design experience (email, website, social, etc.) — Portfolio showing e-commerce work with context on goals and results — Advanced proficiency in Figma — Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) — Hands-on experience using Claude and/or other AI tools in design workflow — Experience designing for web and supporting website creative (landing pages, site sections, PDPs) — Strong understanding of conversion-focused design and e-commerce best practices — Proven ability to follow and apply brand guidelines across multiple brands — Strong written and spoken English for async communication with U.S.-based team Strong Differentiators: — Video editing skills (Premiere Pro, After Effects, CapCut, or similar) — Experience designing for Klaviyo or other email platforms — Familiarity with Shopify themes and how designs get built — Experience designing A/B test variations or working with CRO data — Paid social ad creative experience (Meta, TikTok) — Agency background preferred This role is fully remote. Time Commitment and Availability: — Starts part-time at 15 hours/week with opportunity to scale — Availability between 9 a.m. and 6 p.m. EST Compensation: — $20–25 USD/hour based on experience and portfolio — Part-time, remote contractor role — Video editing experience is a strong plus and factored into the rate.

Location: Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We’re looking for a strong Golang Backend Engineer to join a product-focused engineering team. In this role, you’ll work closely with other engineers to build and maintain scalable backend services, improve system performance, and contribute to the overall architecture of the platform. This is a great opportunity for someone who enjoys working in a fast-paced environment, is comfortable with modern backend technologies, and is eager to grow and experiment with new tools and approaches. The project provides maintenance and development for a high-load platform for hotel reservations, It requires improvements and optimizations of the UI and backend functionality. Develop and maintain backend services using Golang Collaborate with cross-functional teams (engineering, DevOps, product) Design and implement scalable APIs and services Work within a microservices-based architecture Ensure code quality through reviews and collaboration (e.g. pair programming) Identify and resolve performance and reliability issues Contribute to continuous improvement of engineering practices and processes Troubleshoot and debug complex technical issues 2+ years of hands-on experience with Golang Strong understanding of Go fundamentals, standard library, and best practices Experience designing and working with APIs (REST and/or gRPC) Experience with microservices architecture Good understanding of asynchronous communication and concurrency Solid problem-solving skills and proactive mindset Experience working in collaborative engineering teams Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with Linux environments Experience with containers (Docker, Kubernetes) and related tools (e.g. ArgoCD) Understanding of networking basics (routing, gateways, firewalls, etc.) Experience with other programming languages (Java, Scala, C/C++, Rust) Interest in the travel domain Degree in Computer Science or a related field

Location: United Kingdom; France; Belgium The Role Intellect delivers a clinically governed mental health programme to enterprise clients in the mining and resources sector, supporting remote and expatriate workforces. This is not a standard EAP. Cases begin with acute risk assessment on remote sites and run through structured treatment, fitness-for-work assessment and return-to-work clearance, in direct coordination with the client's chaplaincy, medical and people teams. This role covers the client's United Kingdom operations and a West African project site where the working language is French. It is a combined clinical delivery and case management role: the postholder conducts the assessments, delivers the therapy, writes the reports and owns the case, rather than coordinating a provider network. That design reflects the absence of an established provider network in the West African market at launch, and gives the client a single clinician who knows each case end to end. Full professional fluency in French and English is a non-negotiable requirement. Welfare calls, clinical assessment, case documentation and client communication in the West African market are conducted in French. Responsibilities Clinical assessment and delivery Conduct acute risk and welfare assessments for employees referred through the client's escalation pathway, in French or English as required. Deliver individual counselling and psychotherapy across the supported caseload, virtually. Conduct fitness-for-work assessments and produce the associated clinical documentation. Write risk assessments, session documentation, return-to-work memoranda and fitness-for-work reports to a standard that stands up to client and regulatory scrutiny, in the language the case requires. Delivery is capped so that case management availability is protected. Session load is agreed with the Head of Clinical Operations and reviewed as volume changes. Case management and coordination Own each case end to end, from referral through assessment, treatment, fitness-for-work and reintegration to closure. Align the initial support plan with the client's on-site teams, including session volume and cadence, and manage adjustments where clinically indicated. Coordinate with internal helpline, care excellence and network partnership teams on anything that cannot be delivered directly. Review the open case list for stalled items and follow up to keep cases moving. Clinical risk oversight and governance Confirm risk tiering against the client's framework and set review cadence and monitoring requirements. Make the clinical decisions the pathway requires, including disputed risk ratings and medical evaluation pathways where an employee declines therapy. Escalate to the Head of Clinical Operations where a case exceeds the scope of remote delivery or requires in-person intervention. Work within the differing regulatory, medical and emergency-escalation environments of each market, and flag where local pathways do not support the agreed protocol. Clinical protocols and client enablement Co-develop and maintain the clinical protocols, risk frameworks and SOPs the client's on-site teams operate to, including French-language versions. Design and deliver clinical training and framework guidance to client-side staff who are not clinicians, in French and English. Build out the in-market provider network alongside Network Partnerships, so that in-person and overflow capacity exists as the programme scales. Client relationship, insights and reporting Act as the named clinical contact for the client's chaplaincy, medical and health and safety leads in both markets, responding within the core window to queries that are frequently unscheduled and time-critical. Produce the case tracker and monthly clinical reporting, moving beyond utilisation to presenting issues, risk patterns, outcomes and service-level themes. Present clinical insight at client review meetings and translate it into recommendations the client's health and safety and people teams can act on. Requirements Full professional fluency in French and English, to the standard required for clinical assessment, therapy delivery and client-facing documentation in both languages. Registered clinical psychologist or qualified counsellor, with current registration in your jurisdiction and the right to practise remotely. Master's degree in clinical psychology, counselling or a related field. Minimum three years in clinical practice, including direct delivery of assessment and therapy to adults. Demonstrable experience managing acute risk, including suicidality, in a setting where you held the decision rather than advised on it. Experience of structured return-to-work, fitness-for-work or occupational mental health pathways. Able to work four hours a day, Monday to Friday, within the 08:00 to 17:00 UK and West Africa window. Desirable Experience working across multiple jurisdictions or with expatriate, rotational or multinational workforces. Understanding of remote industrial, mining, resources or energy operating environments. Additional language capability, particularly Mandarin. Experience contributing to clinical protocols, risk frameworks or SOPs. Prior case management or clinical account experience in a commercial setting.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview Fanatics Betting & Gaming (FBG) is on a mission to create the best online sportsbook in the industry. We are seeking an Engineering Manager to lead the team that builds the Balance and Ledger platform: the shared ledger and customer-level balance that holds customer funds across Fanatics. This leader will own systems where accuracy matters most, guiding the team through complex and ambiguous problems while ensuring operational excellence, consistent delivery, and long-term impact. The team sits within the Customer, Accounts & Transactions (CAT) domain and works closely with the Payments team. The Engineering Manager plays a central role in shaping the architecture, processes, and engineering culture of the balance platform. You will lead backend engineers (Java, Spring Boot, AWS) who are responsible for the ledger, the rules that decide where each portion of a balance can be used, and the migration of existing wallets onto a shared platform. At FBG, we're revolutionizing sports betting with cutting-edge technology, a customer-first mindset, and a world-class engineering team. You'll have the opportunity to work on complex, high-scale challenges in an exciting and rapidly growing industry, as part of a team that values innovation, integrity, and excellence. Responsibilities Operational Leadership & Ownership Lead an engineering team that owns the ledger and balance services for customer funds, where correctness, auditability, and availability are key. Drive operational excellence by setting high standards for security, reliability, observability, and on-call practices. Lead the phased migration of existing business wallets onto the shared ledger, including reconciliation, cutover, and rollback planning that avoids customer-visible downtime. Partner with Finance, Legal, and Compliance on fund attribution between businesses, settlement, chargebacks, and audit requirements. Identify and resolve technical and operational risks before they affect the business. Team Performance & Delivery Build and maintain a high-performing engineering team through hiring, coaching, performance management, and career development. Define and execute a roadmap that balances new capabilities, migration work, technical health, and operational load. Plan team capacity honestly, make tradeoffs visible, and hold the team to the commitments it makes. Deliver maintainable, scalable software that handles high transaction volume without losing or double-counting a transaction. Stay close enough to the technical work to review designs, take part in architectural decisions, and unblock engineers. Communication, Stakeholder Management & Product Partnership Communicate clearly with engineers, Product, Finance, Legal, Compliance, and executive stakeholders. Build partnerships with the Payments team and with the teams in other Fanatics businesses that depend on the balance, and agree on ownership boundaries. Write and present clear documentation, including roadmaps, vision documents, design reviews, and incident reviews. Represent the balance platform's technical perspective in broader company planning. Navigating Complexity & Ambiguity Lead the team through open questions that span engineering, finance, and regulation, using structured and data-informed approaches. Bring Product, Legal, Finance, and Engineering viewpoints together to make decisions that hold up over time. Provide clarity as requirements change, new businesses onboard, and regulatory expectations evolve. Travel Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team building activities. Qualifications We value aptitude and integrity over years of experience, but here are key skills that will make you successful in this role: 3-5+ years of experience managing software engineering teams, with a track record of delivering secure, scalable systems in regulated or high-stakes environments. Background leading teams or contributing in a Java and AWS ecosystem preferred. Experience with ledgers, wallets, balance services, payments, or other financial systems of record is highly desirable. Understanding of transactional consistency, idempotency, and data modeling in systems where accuracy cannot be compromised. Experience with event-driven architectures and message streaming platforms such as Kafka. Experience leading migrations of live, high-traffic systems with minimal customer impact. Ability to balance strategic direction with technical depth. Strong communication skills and the ability to influence across Engineering, Product, Finance, Legal, and Compliance. Experience working through complex, cross-functional, and regulatory challenges. Commitment to operational excellence and to building systems that people can trust. Passion for mentoring and developing engineers, and for fostering a culture of accountability, empathy, and innovation. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $190,000 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Worldwide Workplace: remote RequirementsPHP & Symfony: Strong Senior-level backend experience with PHP and Symfony, building and designing complex distributed systems;Architecture & API Contracts: Experience evolving API contracts with GraphQL, OpenAPI, Protobuf/gRPC, or Avro, including compatibility, deprecation, and breaking changes;Infrastructure & CI/CD: Hands-on experience with Kubernetes, Helm, and GitLab CI or similar tools for reliable application delivery;Messaging & Observability: Strong experience with Kafka, OpenTelemetry, metrics, tracing, and Grafana for scalable and observable services;Data & Modern Architecture: Experience with GraphQL and databases such as PostgreSQL or ClickHouse. GraphQL Federation will be an advantage;Ownership & Collaboration: Proactive and resilient approach, strong communication skills, and the ability to work effectively across teams and share technical expertise;AI & Modern Technologies: Experience using AI-powered development tools to improve engineering productivity, documentation, and technical decision-making.ResponsibilitiesBackend Development: Design and develop scalable PHP/Symfony services for complex, high-load systems;Architecture: Define technical solutions and evolve service architecture to ensure scalability, reliability, and maintainability;API Contracts: Design and evolve service contracts while managing compatibility, deprecation, and breaking changes;Infrastructure & Reliability: Work with Kubernetes, Helm, Kafka, CI/CD, and observability tools to ensure stable production services;Technical Documentation: Create and maintain clear architecture, API, and technical documentation to support cross-team collaboration;Engineering Collaboration: Work closely with other teams, share expertise, and leverage AI tools to improve engineering practices and delivery.We offerHigh salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

About the project The Project is a Smart City video-surveillance platform. The platform handles video conversion, integrates with storage, and uses an event-driven architecture. Deployed across several countries, it focuses on scalability, observability, and reliability. Stack Language & Frameworks: Kotlin, Spring Boot, Spring MVC, Spring Security Database: PostgreSQL, ClickHouse, JPA / Hibernate, Spring Data JPA Security: JWT, Spring Security, RBAC, permission-based authorization Async: Kotlin Coroutines Testing: JUnit, MockK, Testcontainers Infra: Docker, Kubernetes, Linux Monitoring: Prometheus, Grafana, logging, metrics, tracing Docs: OpenAPI / Swagger Responsibilities Develop and maintain backend services in Kotlin / Spring Boot; design and implement REST APIs and business logic; work with PostgreSQL / ClickHouse, JPA / Hibernate and optimize database access; identify and resolve N+1, lazy-loading and transaction-related issues; design and implement RBAC and permission-based authorization; implement tenant- and resource-level access control; work with JWT authentication and Spring Security; deploy and troubleshoot services in Docker / Kubernetes environments; refactor and optimize existing Kotlin code; write unit and integration tests; participate in code reviews and backend architecture decisions. Must-have 2+ years of commercial backend development experience with Kotlin / Spring Boot (Middle+ level); strong Kotlin knowledge and good understanding of Java ecosystem; production experience with Spring Boot / Spring MVC; solid understanding of Spring IoC, DI, proxies and @Transactional; practical experience with PostgreSQL and JPA / Hibernate; understanding of persistence context, lazy loading, N+1 and dirty checking; experience with Spring Security and JWT; good understanding of roles, permissions and RBAC; understanding of resource-level authorization and multi-tenant access control; hands-on experience with Docker, Kubernetes and Linux; ability to analyze and optimize existing code and database queries; solid understanding of collections, algorithmic complexity and basic performance trade-offs. Nice-to-have ClickHouse production experience; Kotlin Coroutines / Flow; experience with high-load or distributed backend systems; ABAC / policy-based authorization experience; Testcontainers; Kafka / RabbitMQ; Kubernetes operations and troubleshooting; Prometheus / Grafana / distributed tracing; OAuth2 / OpenID Connect; experience designing multi-tenant systems. Offer Strong engineering team and real impact on backend architecture; modern Kotlin / Spring stack, CI/CD, Kubernetes and code reviews; opportunity to work on security- and performance-critical backend components; flexible schedule; competitive compensation based on experience and interview performance.

Location: Berlin, Germany About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Компания Bitbanker — крипто-финтех платформа с продуктами обмена, депозитов, займов, переводов и инвестиций, работающая в России, Кыргызстане (VASP-лицензия) и ОАЭ. Задачи: — Держать архитектуру платформ, синхронизировать стеки Python и TypeScript, поддерживать устойчивость интеграций и связность сервисов. — Выстроить SDLC и процесс поставки от постановки задачи до выкатки в прод без зависания. — Внедрять DevOps/SRE-практики: единые окружения, мониторинг, наблюдаемость, протоколы реагирования на инциденты и сценарии резервного восстановления. — Готовить продукты к due diligence: архитектурная документация, аудит зависимостей, контроль лицензий open source, воспроизводимость сборки и поставки. — Работать с CISO по безопасности, блокировать релизы при критических рисках. — Управлять инженерными метриками: предсказуемость релизов, lead time, неуспешные выкатки, возвраты дефектов, покрытие мониторингом. — Ревьюить ключевые решения и код, погружаться в сложные узлы. — Развивать команду, снижать техдолг, помогать тимлидам со стандартами и приоритизацией. — Быть правой рукой CIO по технике, оценивать реализуемость бизнес-задач, подсвечивать риски и считать техническую стоимость решений. Требования: — Опыт 8+ лет в разработке, несколько лет в роли Architect, Head of Engineering или CTO в командах от 20–30 человек. — Уверенный продакшн опыт с Python и TypeScript (один стек глубоко, второй на уровне код-ревью и архитектурной оценки). — Понимание финтех/крипто специфики: платежи, кошельки, биржевые контуры, KYC, high-load, профильная безопасность. — AI-first майндсет, готовность внедрять AI-инструменты для роста скорости, качества и эффективности. — Hands-on подход и сквозная ответственность за полный цикл работы над задачей. — Системность и прагматизм: умение выстраивать процессы (git-flow, CI/CD, релизный менеджмент), аргументировать решения цифрами. — Операционная включённость, фокус на практическом результате. Плюсы: — Опыт упаковки платформы и прохождения технического due diligence перед M&A или инвестициями. — Глубокая экспертиза в high-load оптимизации, compliance и безопасности финансовых сервисов. — Опыт архитектурной координации команд, обслуживающих несколько продуктов. Условия: — Гибкий формат работы: 100% удалённо из любой точки мира или гибрид из офиса в Москве. — Конкурентная зарплата, соответствующая опыту и навыкам. — Работа в профессиональной команде с открытой и гибкой атмосферой. — Интересные задачи в быстрорастущей нише на стыке финансов и технологий.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: A sales role (though you will support expansion through value) A pure support role (you won’t just react to tickets) A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from the United States . Your responsibilities will include: Own the production journey Lead the transition from PoC to production Ensure customer workloads are deployed, stable, and scalable Drive time-to-production and time-to-value Ensure technical success in production Understand customer architectures and use cases Monitor and improve: - performance (latency, throughput) - cost efficiency - reliability Identify and resolve bottlenecks proactively Act as a trusted technical partner Work directly with customer engineering teams Provide guidance on best practices and optimisation Translate technical challenges into actionable solutions Manage risks and incidents Act as a primary technical contact for production issues Coordinate with internal teams to resolve incidents Communicate clearly during high-pressure situations Drive continuous improvement Identify opportunities to optimise and expand usage Provide structured feedback to Product and Infrastructure teams Help shape better solutions based on real customer needs We expect you to have: Technical background Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.) is a strong plus Ability to troubleshoot and reason about system performance Customer-facing experience Experience working directly with technical customers (e.g. engineers, ML teams) Ability to communicate complex topics clearly and effectively Ownership & execution Strong sense of ownership – you drive outcomes, not just tasks Ability to manage multiple customers and priorities Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: Experience with GPU workloads or AI infrastructure Background in solutions engineering, SRE, or technical support in B2B environments Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-DN1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $209,800 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Требования: — 5+ лет коммерческого опыта с Python и реальный production-опыт разработки AI-агентов, LLM orchestration и RAG. — Практический опыт с LangGraph / LangMem, Qdrant или аналогами. — Уверенное знание PostgreSQL, API и backend-архитектуры. — Опыт с Voice AI / WebRTC, real-time системами, конкурентностью и race conditions — большой плюс. — Самостоятельность, опыт запуска продуктов с нуля и сильный engineering mindset. — Английский Upper-Intermediate и свободный русский. — Будет плюсом: TypeScript / NestJS, Docker, CI/CD, NATS, high-load системы. — Важно: рассматривают только инженеров с практическим опытом самостоятельной разработки AI/LLM-решений. Сильного Python backend без такого опыта недостаточно. Условия: — Локация: удалённо.

The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies: — Python, Django/FastAPI, asyncio — Distributed systems, Microservices, Event-driven architecture — Apache Kafka — Docker, AWS (or other cloud providers) — SQL, PostgreSQL — CI/CD, Test automation — Prometheus, Grafana What You'll Do: — Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement — Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django — Architect distributed systems to support millions of users with low latency and high availability — Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching — Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load — Implement robust testing strategies, including unit, integration, and performance tests — Drive continuous improvement of development processes and system observability, including monitoring and logging — Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines — Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing Job Requirements: — 5+ years of experience in Python backend development — Solid experience with Django/FastAPI and asynchronous programming using asyncio — Production experience with Apache Kafka — Strong experience with distributed systems, microservices, or similar architecture — Experience deploying and managing containerized applications using Docker — Familiarity with any cloud provider, preferably AWS — Proficiency with SQL databases, especially PostgreSQL — Experience with CI/CD pipelines and test automation — Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent — Strong problem-solving skills and experience with code reviews — Comfortable working in Agile teams — English level: B2 or higher Nice To Have: — Experience with Kubernetes — Experience working with systems supporting 1M+ users — Experience with NoSQL databases — Exposure to event sourcing or CQRS patterns — Familiarity with frontend technologies such as React — Knowledge of big data tools such as Flink or NiFi — Exposure to infrastructure as code tools such as Terraform — Experience in the sports or betting industries