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Задачи: — Ручное функциональное, регрессионное, Smoke и приемочное тестирование Web приложений и Backend — Создание и актуализация тестовой документации: дизайн тест-кейсов, составление чек-листов, оформление баг репортов, накопление базы знаний о продуктах — Тестирование UI/UX — Плотное взаимодействие с командой разработки, участие в планировании — Тестирование требований Требования: — Понимание SDLC и потребностей разработки — Умение тестировать требования к ПО — Опыт исследовательского тестирования — Умение формировать чек-лист, предугадывать поведение системы — Знание основных техник тест-дизайна и умение применять их на практике — Владение инструментами для тестирования API — Навыки работы с консолью Linux/Unix-систем, знание основных консольных утилит и умение ими пользоваться — Понимание клиент-серверной архитектуры — Понимание работы сетевых протоколов — Умение составлять простые SQL запросы (select, delete, update и т.д.)

Задачи: — Организация и развитие QA процессов для платформы управления производством. — Взятие на себя ответственности за качество backend-решений и приложений для планирования производственных линий. Требования: — 5+ лет опыта в QA. — Опыт в роли Team Lead или Senior QA. — Опыт построения и управления QA процессами. — Тестирование backend приложений. — Знание Linux, Docker, облачных провайдеров (AWS/GCP/Azure). — Умение работать с неполными требованиями. — Сильные аналитические навыки. — Практический опыт использования современных AI-инструментов. Будет преимуществом: — Опыт построения QA процессов с нуля. — Наставничество QA инженеров. — Опыт с AI-агентами, SAP/ERP, мобильным тестированием, DevOps, CI/CD. — Опыт работы в стартапах. Условия: — Зарплата: $5,000 в месяц — Удалённая работа

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers’ lives easier while continuously improving internal systems to deliver faster and at the best cost. If you’re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we’d love to hear from you. About the Role Are you passionate about building scalable backend systems while owning the cloud infrastructure that powers them? As a Senior Backend Engineer (Platform & DevOps) at Toters, you'll split your time between designing and developing production-grade backend services and improving the cloud platform, deployment pipelines, and operational excellence that enable our engineering teams to deliver software safely and efficiently. In this role, you'll own services end-to-end—from application design and implementation to deployment, monitoring, scalability, security, and production reliability. Working closely with Software Engineers, Product Managers, and Infrastructure teams, you'll help build resilient systems that power our products while continuously improving the developer experience. In this role, you will: Backend Engineering Collaborate with cross-functional teams to translate business requirements into scalable backend solutions. Design, develop, test, and maintain high-performance backend services using PHP (Laravel). Design and build RESTful APIs and microservices that power customer-facing and internal applications. Write clean, maintainable, and well-tested code following engineering best practices. Optimize application performance, database queries, caching strategies, and system scalability. Participate in architecture discussions and contribute to technical decisions that improve long-term maintainability. Conduct thoughtful code reviews and mentor engineers through technical guidance and best practices. Platform & DevOps Design, build, and maintain cloud infrastructure on AWS to support highly available and scalable applications. Build and improve CI/CD pipelines that enable fast, reliable, and secure software delivery. Manage containerized applications using Docker and Kubernetes. Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or similar tools). Improve system observability through monitoring, logging, alerting, and performance dashboards. Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency. Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews. Implement security best practices for applications, infrastructure, secrets management, and access control. Continuously improve deployment processes, operational tooling, and developer experience across engineering teams. Key Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 6+ years of experience in backend software engineering, with significant hands-on experience in cloud infrastructure and DevOps practices. Strong experience developing backend applications using PHP (Laravel) . Solid understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and software architecture. Experience designing and building RESTful APIs, distributed systems, and microservices. Strong experience with relational databases such as PostgreSQL or MySQL , along with caching technologies such as Redis . Strong hands-on experience with AWS , including services such as EC2, ECS, Lambda, RDS, S3, IAM, CloudWatch, VPC, and SQS. Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools. Experience working with Docker and Kubernetes in production environments. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Strong understanding of Linux systems, networking fundamentals, and cloud security best practices. Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, Prometheus, or the ELK stack. Experience owning production systems, participating in on-call rotations, and resolving production incidents. Strong communication skills with the ability to collaborate across teams and mentor engineers. Passion for building scalable, secure, and reliable systems while continuously improving engineering excellence. Nice to Have Experience with Go , Python , or additional backend programming languages. Experience with messaging and streaming technologies such as Kafka , RabbitMQ , or AWS SQS/SNS . Experience deploying serverless applications using AWS Lambda. Experience with Helm, ArgoCD, or GitOps workflows. Experience building Internal Developer Platforms (IDPs) or improving developer tooling. Experience with service mesh technologies such as Istio or Linkerd. Experience working in high-growth technology companies, e-commerce, or on-demand delivery platforms. AWS certifications are a plus. Why Toters? Flexible work environment with hybrid-friendly roles. Opportunity to work across software engineering and cloud infrastructure, building systems that directly power Toters' products. Solve complex engineering challenges involving backend architecture, cloud infrastructure, automation, and distributed systems. Collaborate with talented engineers in a culture of ownership, mentorship, and continuous learning. Direct impact on products used by thousands of customers every day. Competitive compensation package. Exclusive discounts on Toters orders. First-class medical insurance.

Location: Athens, Greece We are looking for a Senior Backend Engineer (Python) to join a technically demanding project involving data-intensive processing, system integration, and semantic technologies. You will play a key role in taking ownership of an existing codebase, stabilising it, and evolving it in line with project requirements. This role is ideal for an experienced engineer who is comfortable working with complex systems and understands data-driven architectures . What You'll Do: Analyse, understand, and take ownership of an existing Python-based backend; Refactor and enhance backend components with a focus on maintainability and performance; Implement and maintain data processing pipelines and integration logic; Collaborate closely with data/semantic engineers on RDF/SPARQL-driven workflows; Contribute to architecture reconstruction and technical documentation; Support deployment, configuration, and troubleshooting activities; Ensure code quality through reviews, testing, and best practices. Requirements 3+ years of professional experience in backend development; Strong proficiency in Python; Experience with: Apache Airflow and AWS; Data-intensive or integration-heavy systems; APIs, batch processing, and backend services; Configuration-driven systems (XML / JSON / YAML); Solid understanding of: Software architecture and design patterns; Debugging and working with legacy codebases; Experience working in complex, multi-stakeholder projects (EU or public-sector projects is a plus). Nice-to-Have: Familiarity with Semantic Web technologies (RDF, SPARQL, OWL); Experience with data modelling or knowledge-based systems; Exposure to DevOps practices (CI/CD, containerisation); Experience contributing to or maintaining technical documentation (e.g. AsciiDoc, Antora). Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( SBEP/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy. We’re looking for a Senior Software Engineer to join our London (Hybrid - 3 days from the office) team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, developing, releasing and running large-scale web applications whilst transitioning our monolithic codebase to a microservice-based architecture Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features, whilst defining the backend architecture and tech stack for a product area Optimise Operations: Improve performance, reliability, scalability and security for our backend systems Collaborate & Influence: Build relationships across global engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: New York City Office Workplace: OnSite COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You’ll design and build agentic workflows that power complex healthcare processes to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems. You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow.. As part of our ML team, you’ll work hand-in-hand with researchers to translate new techniques and insights into production-ready systems. The ideal candidate has full-stack engineering experience, hands-on expertise with LLM APIs, and a proven track record of deploying AI systems into production. You’ll work across the stack - from data collection to training pipelines to AI agent orchestration to frontend integration - bringing cutting-edge AI solutions to life in real-world healthcare environments. RESPONSIBILITIES As a Senior Backend Engineer on the ML team at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product delivery. You’ll help build agentic systems that use LLMs, and vision models, and structured automation to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. - Ship full-stack AI systems end-to-end - Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows. - Go from ideation to code within hours; iterate quickly on experiments and data. - Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and product QUALIFICATIONS - Proficiency in full-stack development, with a strong understanding of system design, backend engineering, and observability infrastructure. - A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures. - Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Baku Workplace: onsite ABOUT YOU You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. WHAT YOU'LL DO Software Engineering & Problem Solving: Build and ship reliable, secure, and scalable backend systems. Own implementation from design to deployment, ensuring maintainability and performance. Participate in architectural discussions and offer informed technical input. Refactor legacy codebases to improve structure and efficiency while maintaining feature continuity. Drive production readiness by handling incident response, root cause analysis, and observability improvements. Technical Excellence: Write clear, testable, and well-documented code, emphasizing quality and automation. Contribute to a culture of engineering excellence through code reviews and design discussions. Advocate for sound software development practices and continuous improvement. Collaboration & Impact: Work closely with product managers, designers, and other engineers to align on objectives and deliverables. Contribute to technical scoping and estimation for features and infrastructure work. Identify opportunities to reduce technical debt and improve the developer experience. QUALIFICATIONS 6+ years of professional experience in software engineering. 2+ years of hands-on experience with Go (Golang ) in production environments. Strong experience working with PostgreSQL and/or MySQL. Proficient with containerization and orchestration tools: Docker, Kubernetes (K8s), and Helm. Familiarity with messaging systems like RabbitMQ or Kafka. Comfortable using Git and CI/CD tooling in collaborative workflows. Working knowledge of frontend technologies, especially React and/or Next.js . Basic understanding of cloud platforms (GCP preferred). WHAT SETS YOU ARART Experience building scalable, secure Login-as-a-Service platforms. Deep knowledge of OAuth2, OIDC, SAML, JWT, and session/token management. Strong grasp of social login, SSO, and federated identity. Designed multi-tenant identity systems with isolation and configurability. Delivered developer-friendly APIs, SDKs, and integration documentation. Strong English communicator, for both technical and non-technical topics. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

В этой роли вы будете заниматься проектированием, созданием и поддержкой масштабируемых распределённых бэкенд-систем, обеспечивающих работу платформы и продуктов. Вы возьмёте на себя полную ответственность за бэкенд-сервисы — от архитектуры и реализации до мониторинга и обеспечения надёжности в долгосрочной перспективе. Взаимодействие с командой продукта и инженерами позволит вам влиять на продуктовые решения, а не просто выполнять готовые задания. Вы будете работать с клиентами, превращая их расплывчатые запросы в конкретные предложения и планы для команды. В задачи также входит разработка и развитие компонентов бэкенда Web3-платформы, включая интеграции с протоколами, поддержку новых блокчейн-сетей и надёжное взаимодействие со смарт-контрактами. Важным аспектом работы является поддержание высоких стандартов качества кода, производительности, безопасности и наблюдаемости. Работа происходит в динамичной стартап-среде, где необходимо балансировать между скоростью и точностью. Искусственный интеллект используется как неотъемлемая часть инженерного процесса — для проектирования, ревью, отладки и выпуска продуктов. Вы будете участвовать в технических обсуждениях, код-ревью и наставничестве внутри команды. Требования включают опыт не менее 5 лет в проектировании и создании распределённых бэкенд-систем, глубокие знания алгоритмов, структур данных и шаблонов проектирования. Необходима готовность работать в быстром темпе стартапа и желание активно влиять на развитие продукта. Важно уметь общаться с клиентами, превращая их неясные задачи в конкретные решения. Опыт ежедневного использования ИИ в инженерной деятельности обязателен, а также способность критически оценивать его влияние. Требуется высокий уровень ответственности за качество кода, надёжность систем и пользовательский опыт, а также сильное чувство владения результатами работы.

Задачи и требования: — 5+ лет опыта работы с TypeScript/Node.js в продакшене. — Опыт работы с NestJS не менее 2 лет, включая модули, guards, interceptors, микросервисные транспорты. — Глубокие знания PostgreSQL: проектирование схем, индексация, EXPLAIN ANALYZE, миграции без простоя, паттерн database-per-service. — Опыт работы с реальными микросервисами: RPC, pub/sub, брокеры сообщений, идемпотентность, eventual consistency, saga/outbox. — Опыт работы с production blockchain (обязательно): HD кошельки (BIP32/BIP39), смарт-контракты, ABI, мультичейн, on-chain транзакции с реальными средствами пользователей. — Использование ethers.js, viem, @solana/web3.js. — Опыт работы с AI-driven workflow (обязательно): ежедневное использование Claude, Copilot или Cursor. — Создание автоматизаций или инструментов на базе LLM, а не просто использование ChatGPT для сниппетов. — Владение английским на уровне Upper-Intermediate. — Свободное владение русским языком. Плюсом будет: — Знание NATS JetStream (streams, consumers, delivery policies). — Опыт с observability stack: OpenTelemetry, Prometheus + Grafana, pino, распределённый трейсинг. — Опыт работы с Kubernetes, Helm, Kustomize. — Знание финтех-домена: PCI DSS, KYC/AML, платёжные системы. — Опыт наставничества инженеров среднего уровня. — Базовые знания React для бэк-офисных UI. Компания Utorg — финтех-компания, предлагающая современную инфраструктуру on/off-ramp и web3 для обеспечения первоклассного пользовательского опыта.

Компания Vinted, ведущая онлайн-платформа для торговли одеждой секонд-хенд в Европе, ищет опытного Senior Backend Engineer для команды Member Acquisition. В работе используются технологии Golang, Ruby on Rails, MySQL, Memcached, Elasticsearch, а также инструменты GitHub, Grafana и Kibana. Формат работы гибридный, с возможностью работать в офисах в Каунасе или Вильнюсе, Литва. Основные задачи включают разработку и поддержку серверной части, оптимизацию процессов привлечения пользователей и обеспечение стабильности сервисов.

Задачи: — null Требования: — Опыт коммерческой разработки на Go 3+ года — Знание Go — Опыт работы с PostgreSQL — Опыт работы с gRPC/REST — Опыт работы с Kafka — Опыт работы с микросервисной архитектурой Условия: — Удалённая работа — Работа по Scrum Компания inDrive — международная IT-компания, работающая в 40+ странах и развивающая сервис Intercity, который функционирует в Казахстане, Мексике, Индонезии, Египте, Марокко, Пакистане и других рынках.

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. 🚀 Senior Software Engineer, Growth Platform - Backend Growth Platform is how DoorDash, Wolt, and Deliveroo market as one. We're building a single AI-native marketing platform across all three brands, unifying customer data, intelligence, and execution so every partner team can launch faster, personalize better, learn continuously, and scale wins across brands. The scope is global, the ambition is large, and we're only getting started. We're hiring backend engineers who want to be at the front line of what engineering looks like in the age of AI. 💡 What you’ll be doing An AI-first team by design. We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a focused team can ship. Real ownership, real impact. Growth Platform powers marketing across DoorDash, Wolt, and Deliveroo, reaching millions of users daily. You'll own features end-to-end, from the idea through production, and see your work matter at scale across three brands. Cross-org engineering at the frontier. We work across DoorDash, Wolt, and Deliveroo to unify customer data, intelligence, and execution into one platform. This is engineering at the intersection of product ambition, marketing at scale, and international complexity. Leverage those compounds. Everything we ship is leverage: unify the data, sharpen the intelligence, and streamline execution so every partner marketing team can launch faster, personalize better, and learn continuously. When we get it right, wins scale across all three brands instead of being rebuilt one at a time. We're building teams at the forefront of agentic coding. This isn't about using Copilot to autocomplete boilerplate. We mean engineers who: Design workflows where AI agents handle entire task loops, from spec to PR. Think in terms of orchestration: what does a human review, what does the agent own? Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team. Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype. If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in. 🔍 Our humble expectations Strong engineering fundamentals - you've built and shipped software that runs at scale, and you understand what that entails: testing, observability, reliability, and maintainability. Genuine enthusiasm for AI-first development. You use AI tools daily and have formed real opinions about how to get the most out of them. Ownership mentality: you drive projects forward, communicate clearly across teams and time zones, and don't wait to be told what to do. Collaborative instincts - Growth Platform sits at the intersection of backend, data, ML, and product. Cross-functional work is the norm, not the exception. 🙌 About You You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends. What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work. You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through. 🌍 Where You'll Work This role is based in our tech hub in Helsinki. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Backend-инженер в dating app — приложение знакомств под две платформы (IOS/Android). Нужен человек для совместного создания приложения на добровольных началах. Стек: Node.js, Fastify, Drizzle, PostGIS, Docker, Redis Удалённая работа.

Softnetix — белорусская IT-компания, разрабатывающая программное обеспечение для спортивной аналитики, iGaming и гемблинга. Офис в Минске или Варшаве.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .