Вакансии

Задачи: — Проводить ручное и автоматизированное тестирование продукта; — Разрабатывать тест-кейсы и поддерживать автотесты; — Тестировать пользовательские интерфейсы, интеграции и функциональность продукта end-to-end; — Взаимодействовать с командой разработки, выявлять и сопровождать исправление дефектов. Требования: — Имеет 5+ лет коммерческого опыта в QA; — Отлично знает Python, Pytest, Playwright; — Будет плюсом Docker и CI/CD; — Имеет опыт как ручного, так и автоматизированного тестирования; — Обладает сильными аналитическими навыками и вниманием к деталям. Условия: — Релокацию на Кипр для вас и семьи; — Конкурентную заработную плату; — Медицинскую страховку; — Оплачиваемый отпуск, корпоративный спорт, обучение и тимбилдинги и многое другое.

Location: Limassol, Cyprus Workplace: on-site We are looking for a hands-on DevOps Engineer with strong, recent AWS experience to join our infrastructure team. You will work in a hybrid environment spanning AWS, private OpenStack clouds, OKD, virtual machines, and bare-metal Linux servers. We are primarily looking for someone coming from an AWS/Linux/automation background. Our platform serves hundreds of thousands of requests per second across many thousands of virtual machines. We are therefore looking for someone who is already comfortable working with high-load, business-critical production systems, rather than someone whose experience has been limited to small-scale or early-stage environments. CORE STACK: AWS Terraform OpenStack (as a consumer: VMs, networking, storage) OKD / Kubernetes (OKD is the upstream of OpenShift) Helm / Helmfile Ansible GitLab CI/CD Linux Virtual machines and bare-metal servers Prometheus / VictoriaMetrics / Grafana ELK Our dedicated platform teams operate the underlying OpenStack and OKD platforms, while your team owns and operates the workloads running on top of them. Previous OpenStack or OKD expertise is not required: you will not be responsible for building OpenStack or maintaining the OKD control plane, but you should be comfortable deploying, operating, and troubleshooting workloads running on these platforms. Job Responsibilities Typical tasks in this role include: Build and evolve AWS infrastructure with Terraform — extending existing modules and writing new ones — across compute, networking, storage, IAM, databases, and load balancing (EC2, VPC, S3, RDS, ALB/NLB, IAM); Provision and manage OpenStack virtual machines and the Linux services running on them, as well as workloads running on bare-metal Linux hosts; Deploy and operate workloads in OKD using Helm and Helmfile, including maintaining charts, values, and templates, and troubleshooting deployments; Build and improve GitLab CI/CD pipelines for application and infrastructure deployments; Manage Linux systems with Ansible, including writing new roles and adapting existing ones; Own observability for your workloads: configure metric collection in Prometheus and VictoriaMetrics, maintain Grafana dashboards, set up and tune alerts, and work with centralized logging in ELK — collection, parsing, and helping teams find and understand issues in application and infrastructure logs; Work closely with Development and QA teams — supporting production systems as well as the test environments used for day-to-day development, and helping with deployments, environment configuration, infrastructure issues, and release blockers; Troubleshoot issues across infrastructure, networking, Linux, CI/CD, and application platforms, including problems that span multiple systems; Automate repetitive operational tasks and take part in infrastructure upgrades, migrations, and improvements. Review infrastructure code and work with DevOps, Development, QA, and Platform teams on changes that cross team boundaries. You’ll thrive here if you have Has strong, recent hands-on AWS experience in large-scale, high-traffic, business-critical production systems; Has solid experience with Terraform and Infrastructure as Code; Has practical experience running workloads in Kubernetes-based environments and working with Helm; Has experience building and maintaining CI/CD pipelines, preferably with GitLab CI; Has hands-on experience with Ansible, including writing or maintaining roles; Understands infrastructure networking: TCP/IP, DNS, routing, load balancing, firewalls/security groups, and connectivity troubleshooting; Has practical experience with metrics and alerting (Prometheus, VictoriaMetrics, Grafana) and centralized logging (ELK); Can troubleshoot complex problems independently and follow them across multiple layers of the stack; Is confident with Linux, virtual machines, and production infrastructure, is comfortable working outside fully managed cloud services, and understands what runs underneath the application. Comfortable using Bash, Python, or similar for automation. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 minutes); Technical interview (1.5 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: Remote - US About MariaDB Are you ready to shape the infrastructure for a groundbreaking cloud database platform? MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB Cloud is revolutionizing the way businesses manage their data in the cloud. We're on a mission to provide a seamless, powerful, and user-centric Database-as-a-Service (DBaaS) solution that sets new industry standards. MariaDB Cloud is a Multi-cloud Database-as-a-Service platform offering, specializing in managing MariaDB, one of the most popular open-source relational database systems. MariaDB Cloud is more than just a database; it's a comprehensive and innovative platform that delivers continuous availability, autonomous operation, and serverless capabilities. We're redefining the database experience to make it more accessible, intuitive, and efficient than ever before. The Opportunity About the Role We are seeking a Senior Software Engineer to join a small, high-ownership team building robust cloud infrastructure for our globally deployed relational database engine. You will design and implement the application layers, business logic, and API workflows at the intersection of data management, cloud operations, and relational database services—critical components that enterprise applications depend on for correctness, performance, and governance. This is a hands-on, end-to-end role. You will lead features from whiteboard to production: owning implementation, writing clean and scalable code, and leveraging deep expertise in cloud orchestration to ensure robust deployment across multi-cloud environments. Proficiency in Terraform is essential for managing our complex infrastructure and ensuring reproducible deployments. Our team is small by design, offering high individual impact and direct visibility into engineering strategy. The ideal candidate has scaled infrastructure across multiple cloud providers and approaches every challenge with an ownership mindset—shipping production-grade systems that set new industry standards. Key Responsibilities 8+ years of experience in software development with deep expertise in distributed systems and cloud-native architecture. Proven track record of designing and operating multi-cloud infrastructure at scale across AWS, GCP, and Azure. Advanced proficiency in Terraform for Infrastructure as Code (IaC) and complex cloud orchestration. Expertise in containerization and orchestration using Kubernetes and Docker in production-grade environments. Experience building and maintaining robust CI/CD pipelines for automated, scalable deployments. Strong command of Go or Python for developing cloud-native applications, controllers, and automation tooling. BS/MS in Computer Science or a related technical field. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Knowledge of MariaDB server is a plus. Required Qualifications Experience 5+ years of professional software development experience, with at least 2 years focused on data-intensive applications, database-adjacent features, or enterprise software. Demonstrated end-to-end ownership of a non-trivial production feature or module: you have taken something from functional specification through implementation to production. Hands-on production experience deploying, debugging, and managing application services across at least two major public clouds (AWS, Azure, GCP). Experience building or integrating with vector databases, embedding pipelines, semantic search, or retrieval-augmented generation (RAG) systems. Prior work building LLM-based applications or workflows using AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or equivalent). Technical Skills Strong proficiency in Python for AI application development, alongside high proficiency in at least one backend language (such as Go, Java, or C++). Deep, practical application of relational databases: writing complex SQL, structural indexing, query optimization, transactions, and schema design. Experience implementing temporal data models, event-driven tracking, audit logs, or utilizing system-versioned tables. Solid understanding of application security fundamentals: authentication, authorization, RBAC, row-level security, and multi-tenant data isolation at the application layer. Proficiency with modern application monitoring tooling: structured logging, distributed tracing (OpenTelemetry), and functional alerting. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Preferred Qualifications Experience contributing to or maintaining open-source projects in the database, AI/ML application, or agent-tooling ecosystem. Hands-on experience developing MCP servers or integrating A2A (Agent2Agent) protocols into production systems. Familiarity with agent memory frameworks such as Mem0, Graphiti, or Letta. Experience leveraging graph databases or multi-hop graph traversal (Neo4j, Kuzu, FalkorDB, or similar) within applications. Background with in-memory data grids or semantic caching systems (Redis or similar) to optimize AI token usage. Experience packaging applications for on-premises or air-gapped deployment environments, including regulated infrastructure. Knowledge of MariaDB or MySQL application development, system-versioned tables, or temporal SQL. Location & Job Info Full-Time - Remote - US Why Join Us Compensation The annual anticipated U.S. base salary range for this full-time position is $141,000-$185,000. Actual salaries may vary and fall outside of this range depending on factors such as a candidate’s qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than the job description as posted. Salary is one component of MariaDB’s total rewards package.  We provide a competitive benefits package. Additional benefits includes health insurance, life, and disability insurance, funds toward professional development resources, Flexible Paid Time Off (FPTO), paid holidays, 401(k), and parental leave, a massive degree of flexibility and freedom, just to name a few! Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. THE OPPORTUNITY: As a (Senior) Software Engineer, you’ll build core features for our flagship product, turning complex tax scenarios into simple, reliable experiences. You’ll bring a builder-first mindset: staying close to customer problems, using AI and modern engineering tools to move from idea to impact quickly, and taking ownership of outcomes—not just code. You’ll work hands-on in a cross-functional team and bring deep expertise in either frontend or backend engineering, while collaborating effectively across the stack. You’ll help us raise the bar for scalable design, quality, maintainability, and AI-first software development. YOUR RESPONSIBILITIES AND DECISIONS: - Partner with product management, design, and engineering to understand customer problems, shape pragmatic solutions, and deliver measurable outcomes. - Own work end to end—from discovery and technical design through implementation, release, monitoring, and iteration. - Turn ambiguity into action, make sound trade-offs, and deliver valuable increments without compromising long-term maintainability. - Contribute to technical direction and strategy in support of the long-term product vision. - Use AI-assisted development tools in your daily engineering work to accelerate exploration, implementation, testing, debugging, and documentation while maintaining high engineering standards. - Critically evaluate, validate, and troubleshoot AI-generated output, using effective prompting and appropriate safeguards rather than accepting results at face value. - Share effective AI-assisted development practices, encourage responsible experimentation, and help teammates improve how they use AI tools. - Improve developer experience through tools, automation, and engineering practices that enable reliable, frequent delivery. - Collaborate across product and platform teams, and contribute to an environment where people learn, grow, give constructive feedback, and raise challenges safely. YOUR PROFILE: - Professional software engineering experience (React, Node.js) and designing reliable backend services and APIs. Experience with React Native experience is a plus. - Able to work effectively across system boundaries and collaborate with engineers outside your primary specialism. - Use AI-assisted development tools in your daily engineering work to accelerate exploration, implementation, testing, debugging, and documentation while maintaining high engineering standards. - Able to evaluate and troubleshoot AI-generated output, use effective prompting where relevant, and share practical learnings with teammates. - Experience working with a public cloud environment such as Google Cloud, AWS, or Microsoft Azure. - Familiarity with DevOps concepts and practices, including CI/CD, observability, and operating software in production. - Understanding of core application and backend concepts such as authentication, databases, distributed systems, cloud infrastructure, and API integrations. - A builder-first, pragmatic approach: You turn customer problems into shipped outcomes. You take initiative, test and learn quickly, and make clear trade-offs between speed, quality, maintainability, and risk. - Passion for writing maintainable, elegant code and continuously improving how software is built. - A collaborative, positive attitude and a willingness to challenge ideas constructively. - You have a builder mindset. You thrive in environments where things are still taking shape, take initiative to move ideas forward, and find ways to create impact even when the path isn't fully defined. - You embrace trying things out over waiting for perfect conditions, ship early to learn fast, and treat iteration as progress.   WHY TAXFIX? - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions and yoga. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix page on LinkedIn to get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: Madrid Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. THE OPPORTUNITY: This role is based in Madrid, and requires at least 1 day a week in office presence as we work on a hybrid model. As a Senior Software Engineer, you’ll build core features for our flagship product, turning complex tax scenarios into simple, reliable experiences. You’ll bring a builder-first mindset: staying close to customer problems, using AI and modern engineering tools to move from idea to impact quickly, and taking ownership of outcomes—not just code. You’ll work hands-on in a cross-functional team and bring deep expertise in either frontend or backend engineering, while collaborating effectively across the stack. You’ll help us raise the bar for scalable design, quality, maintainability, and AI-first software development. YOUR RESPONSIBILITIES: - Partner with product management, design, and engineering to understand customer problems, shape pragmatic solutions, and deliver measurable outcomes. - Own work end to end—from discovery and technical design through implementation, release, monitoring, and iteration. - Turn ambiguity into action, make sound trade-offs, and deliver valuable increments without compromising long-term maintainability. - Contribute to technical direction and strategy in support of the long-term product vision. - Use AI-assisted development tools in your daily engineering work to accelerate exploration, implementation, testing, debugging, and documentation while maintaining high engineering standards. - Critically evaluate, validate, and troubleshoot AI-generated output, using effective prompting and appropriate safeguards rather than accepting results at face value. - Share effective AI-assisted development practices, encourage responsible experimentation, and help teammates improve how they use AI tools. - Improve developer experience through tools, automation, and engineering practices that enable reliable, frequent delivery. - Collaborate across product and platform teams, and contribute to an environment where people learn, grow, give constructive feedback, and raise challenges safely. YOUR PROFILE: - Professional software engineering experience (React, Node.js) and designing reliable backend services and APIs. Experience with React Native experience is a plus. - Able to work effectively across system boundaries and collaborate with engineers outside your primary specialism. - Use AI-assisted development tools in your daily engineering work to accelerate exploration, implementation, testing, debugging, and documentation while maintaining high engineering standards. - Able to evaluate and troubleshoot AI-generated output, use effective prompting where relevant, and share practical learnings with teammates. - Experience working with a public cloud environment such as Google Cloud, AWS, or Microsoft Azure. - Familiarity with DevOps concepts and practices, including CI/CD, observability, and operating software in production. - Understanding of core application and backend concepts such as authentication, databases, distributed systems, cloud infrastructure, and API integrations. - A builder-first, pragmatic approach: You turn customer problems into shipped outcomes. You take initiative, test and learn quickly, and make clear trade-offs between speed, quality, maintainability, and risk. - Passion for writing maintainable, elegant code and continuously improving how software is built. - A collaborative, positive attitude and a willingness to challenge ideas constructively. - You have a builder mindset. You thrive in environments where things are still taking shape, take initiative to move ideas forward, and find ways to create impact even when the path isn't fully defined. - You embrace trying things out over waiting for perfect conditions, ship early to learn fast, and treat iteration as progress. - You are able to be based in Madrid and work on a hybrid model ( 1 day per a week )   WHY TAXFIX? - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions and yoga. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix page on LinkedIn to get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: Ukraine; Czech Republic; Latvia; Spain; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Ukraine; Czech Republic; Bulgaria; Latvia; Spain; Hungary; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a AI Infrastructure Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Ukraine; Czech Republic; Latvia; Spain; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Задачи: — Работа на крупном проекте в роли опытного Frontend-разработчика на React. Требования: — Опыт работы в роли Middle/Senior разработчика React от 3-х лет; — Отличное владение JavaScript (ES6+); — Уверенное владение TypeScript; — Опыт работы с React: принципы работы, жизненный цикл компонентов, оптимизация; — Опыт работы с Redux/Redux Toolkit, TanStack; — Опыт работы с REST API, знание RESTful-рекомендаций, знание WebSocket и GraphQL; — Опыт оптимизации web-приложений; — Знание вёрстки (HTML/CSS/SCSS, CSS-in-JS, адаптивная вёрстка, особенности вёрстки под мобильные браузеры); — Знание и умение применять GOF, DRY, KISS; — Опыт проведения Code Review; — Опыт декомпозиции и оценки задач; — Знание методологий разработки (Agile/SCRUM); — Опыт работы с распределёнными системами управления версиями. Будет плюсом: — Опыт работы с React Native; — Опыт работы с MUI; — Опыт работы в проектах на базе микрофронтовой архитектуры; — Опыт работы и внедрения RTK Query. Стек проекта: — Инфраструктура: RedOS, Docker, Kubernetes, Nginx; — СУБД и хранилища: PostgreSQL, Redis, Pangolin, ClickHouse, S3; — Backend: .NET 8 / .NET 10; — Frontend: React, Redux/RTK Query, MUI, Vite, Module Federation, React Native; — CI/CD: MSBuild, Azure DevOps; — Интеграции: Kafka, RabbitMQ, ETL/ELT; — Мониторинг: Elasticsearch, Logstash, Kibana, Prometheus, OpenTelemetry, Grafana; — Безопасность: Vault, Keycloak; — Документация API: Swagger. Условия: — Работа в крупной, международной IT-компании; — Оформление по ТК/ИП; — IT аккредитация; — Техника для комфортной работы; — Система аттестаций; — Возможность принять участие в интересном проекте и последующих проектах компании.

В рамках данной позиции предстоит заниматься проектированием и разработкой AI-агентов, включая реализацию сценариев, оркестрацию, вызов инструментов и интеграцию с внутренними сервисами. Необходимо преобразовывать прототипы и модели Data Science в стабильные промышленные решения, обеспечивая их упаковку, интеграцию в сервисы и пайплайны, версионирование и сопровождение. Работа включает разработку на Python сервисов, библиотек и пайплайнов, написание автотестов и участие в код-ревью. Также требуется проектировать, создавать и поддерживать витрины данных для ML-моделей и агентов, обрабатывать большие объемы данных с использованием SQL, Hadoop и Spark, оптимизировать запросы и вычислительные задачи. Важной частью является обеспечение качества и наблюдаемости решений через логирование, мониторинг, обработку ошибок и контроль качества данных. Кандидат должен иметь опыт промышленной разработки на Python не менее двух лет, уметь писать поддерживаемый код с типизацией, тестированием, обработкой ошибок и логированием, а также уверенно владеть SQL, включая сложные запросы, оконные функции и оптимизацию. Требуется опыт построения и сопровождения ETL/ELT-пайплайнов и витрин данных, а также опыт вывода сервисов, моделей или data-продуктов в промышленную эксплуатацию. Необходимо понимание принципов работы AI-агентов, включая оркестрацию, вызов инструментов, управление состоянием и интеграцию с API, а также жизненного цикла ML-модели от артефакта и данных до инференса, мониторинга и обновления. Будет преимуществом опыт разработки AI-агентов с использованием LangGraph, LangChain, LlamaIndex или собственного оркестратора, а также опыт работы с LLM, RAG и векторными хранилищами. Дополнительным плюсом считается опыт оркестрации пайплайнов в Airflow или аналогичных системах, работы с Kafka и событийными архитектурами, знание Docker, CI/CD и Kubernetes, практический опыт с Hadoop и Spark, внедрение ML- или LLM-сервисов во внутреннем контуре, а также опыт в банковском домене, продуктах для юридических лиц или документообороте. Формат работы — офис или гибрид в Москве.

Задачи: — написание автотестов на Python с использованием pytest для backend и UI — использование подходов Playwright по аутентификации (Storage state, cookies, storage) — работа с базами данных через SQL и ORM — работа с брокерами сообщений Kafka — интеграционное тестирование, включая подготовку данных и мокирование — нагрузочное тестирование с использованием JMeter — параллельный запуск автотестов с Pytest XDist — валидация ответов с помощью Pydantic и JSON-схем, мокирование запросов через page.route — параметризация фикстур и тестов, multi-page сценарии в Playwright — мобильное тестирование — анализ утилизации ресурсов сервера при нагрузке Требования: — опыт работы в роли QA Automation Engineer (Python) от 3 лет — высшее IT-образование — уверенное знание SQL, опыт работы с Git — базовые знания по настройке CI для автотестов — понимание клиент-серверной архитектуры и HTTP-протокола — знание SOLID и DDD — понимание разницы между инженером по качеству и автоматизатором — понимание концепции мокирования Будет плюсом: — опыт работы с RabbitMQ — понимание RAG-систем — знание промт-инъекций — опыт тестирования LLM с подходом LLM-as-a-judge — понимание галлюцинаций в ответах LLM — написание пайплайнов CI/CD Условия: — формат работы: удалённо, в офисе или гибридно — на выбор

Задачи: - создание AI-агентов для автоматизации кредитного процесса; - интеграция AI-агентов в продукт; - улучшение качества и надёжности работы AI-агентов. Требования: - от 4 лет опыта продуктовой backend- или fullstack-разработки; - опыт разработки сервисов, бизнес-логики, API, работы с реляционными БД и интеграциями; - опыт работы с Docker, Kubernetes, Git, автотестами и CI/CD; - самостоятельно созданные и запущенные AI-агенты; - опыт работы с агентными фреймворками, мультиагентными системами, tools и function calling; - умение повышать надёжность агентов: трейсинг, evals, отладка и обработка ошибок; - опыт работы через AI-инструменты и выстраивания AI SDLC; - опыт разработки AI-интерфейсов, авторизации и стриминга будет плюсом. Условия: - формат: полностью удалённо, полный рабочий день; - долгосрочное сотрудничество с перспективой роста внутри проекта.

В рамках данной позиции предстоит обеспечивать качество программного обеспечения, участвуя в тестировании, создании тестовых сценариев и автоматизации тестирования. Кандидат будет вовлечён во все этапы разработки системы, а также заниматься разработкой и поддержкой фреймворка для автоматизированного тестирования. В задачи также входит создание вспомогательных инструментов, сервисов, утилит и скриптов. Требуется опыт автоматизации тестирования не менее 5 лет, уверенное владение Java 17+ с навыками написания поддерживаемого и расширяемого кода. Необходим глубокий практический опыт работы с Selenium/WebDriver, применение паттернов Page Object/Screenplay и понимание архитектуры автотестов. Опыт работы с TestNG на уровне проектирования тестовой структуры, а также уверенное использование Cucumber (BDD) для поддержки читаемых сценариев. Важен практический опыт работы со Swagger/OpenAPI, включая генерацию и кастомизацию клиентов. Кандидат должен уметь интегрировать UI-тесты с API-слоем (REST), работать с тестовыми данными и проверками. Требуется глубокое понимание web-архитектуры (frontend/backend, HTTP, REST), опыт настройки и оптимизации CI/CD для автотестов, а также знание современных SDLC и практик тестирования. Работа выполняется удалённо.

Требования: • Опыт работы Devops от 5 лет. • Глубокое знание Linux и умение пользоваться системными инструментами. • Опыт работы с Docker/Kubernetes/Helm. • Опыт развёртывания кластера Kubernetes будет плюсом. • Опыт работы с Ansible будет плюсом. • Опыт работы развёртывания баз данных в отказоустойчивой конфигурации. • Опыт развёртывания Kafka или других систем обмена сообщениями. • Опыт создания дашбордов в Grafana. • Опыт работы с git и CI/CD инструментами (Jenkins, GitLab CI). Задачи: • Настройка и поддержка CI/CD процессов. • Автоматизация развертывания и управления инфраструктурой. • Построение эффективных процессов развёртывания прикладных приложений и инфраструктуры для минимизации time-to-market. • Участие в планировании и заказе инфраструктурных мощностей. • Построение и поддержка инфраструктуры мониторинга. • Пакетирование программных компонентов от сторонних разработчиков. • Реализация мер по резервному копированию и отказоустойчивости инфраструктуры и баз данных. • Совместная работа с архитекторами и разработчиками в рамках технического дизайна информационной системы. • Работа в тесном взаимодействии с командой разработки для улучшения мониторинга и процессов развёртывания.

Задачи: — Руководить проектированием и развитием масштабируемых распределённых систем на Go — Отвечать за интеграцию и конфигурацию AI — от выбора моделей и интеграции API до prompt engineering и развертывания в продакшене — Переводить бизнес-цели в технические дорожные карты и планы поставки — Проводить архитектурные и код-ревью, наставлять старших инженеров — Представлять инженерную команду на встречах с внешними заинтересованными сторонами и оспаривать нереалистичные требования — Улучшать процессы CI/CD, наблюдаемости и инженерные процессы — Балансировать между кодированием, руководством командой и архитектурным контролем Требования: — 5–6+ лет коммерческого опыта с Go — 2+ года в роли технического лидера или ведущего инженера — Глубокие знания распределённых систем, микросервисов и конкурентности в Go (goroutines, каналы, синхронизация) — Практический опыт внедрения, настройки или интеграции AI/ML решений в продакшн-бэкендах, включая работу с LLM, RAG pipeline, OpenAI API, LangChain или аналогичными фреймворками — Опыт с CI/CD, облачной инфраструктурой и современными DevOps практиками — Высшее образование в IT — Готовность работать по CEST и использовать корпоративный ноутбук — Готовность выполнить live coding на Go во время интервью Условия: — Работа над долгосрочным продуктом с реальным бизнес-эффектом — Международная распределённая команда с коллаборативной культурой — Возможность взять ответственность за зрелое приложение — Гибкие условия работы и удалёнка

Задачи: – Разрабатывать и поддерживать новую функциональность продукта – Вместе с командой развивать архитектуру проекта – Проводить Code Review Требования: – Занимались коммерческой разработкой больше 5 лет – Обладаете отличными знаниями Java и Kotlin – Имеете приличный опыт с RxJava 2, Dagger 2 – Обладаете практическим опытом разработки приложений с многопоточностью – Создаете кастомные UI-компоненты – Хорошо знакомы с архитектурными паттернами MVVM и MVI – Знаете ООП и структуры данных Будет плюсом: – Знаете Gradle и имеете опыт написания своих плагинов – Работали с библиотеками Retrofit, OkHttp, Android Architecture Components – Понимаете CI/CD и имеете опыт его настройки

Задачи: – Заниматься обеспечением бесперебойной работы DEV/STAGE/PROD стендов; – Заниматься построением и поддержкой процессов CI/CD; – Использование подходов gitOps и IaC. Требования: – Опыт работы с контейнерными приложениями; опыт работы с ОС Linux (OEL, redhat, ubuntu); знание Kubernetes; – Опыт работы с высоконагруженными системами; – Знание bash, python; – Знание инструментов CI/CD (gitlab-ci); – Опыт работы с системами мониторинга и сбора логов(Prometheus/VictoriaMetrics/Vlogs/OpenSearch/Loki/Grafana; – Опыт работы с Ansible/Terraform; – Опыт работы с Postgres, Clickhouse, kafka. Вакансия в компании МТС, работа удалённая, полная занятость, зарплата обсуждается на собеседовании.

Задачи: — Реагирование и разрешение инцидентов в продакшене (Sev1–Sev4) — Участие в ротации дежурств (1 неделя из 5, отдельная оплата) — Создание и поддержка runbook'ов (управляемых как код с CI валидацией) — Разработка автоматизации и изменений инфраструктуры для клиентских окружений — Настройка систем наблюдения (Datadog, Prometheus, Grafana) — Подготовка постмортемов и техническая коммуникация с клиентами — Внесение вклада в базу знаний — 30–40% времени уделяется инженерным проектам (автоматизация, AI-инструменты, наблюдение) — Участие в развитии AI-усиленного L1 слоя (триаж и автоматизация на основе RAG) Требования: — Опыт работы 5+ лет с Kubernetes, Terraform, AWS/GCP/Azure, Datadog, Prometheus, Grafana, PagerDuty, Linux, Python, Bash, ArgoCD, Helm, CI/CD (GitLab CI / GitHub Actions) — Опыт дежурств в продакшене — обязателен — Опыт Java-разработчика или SRE — Умение работать с AI-агентами (критическое мышление) — Чтение чужого кода и внесение мелких исправлений — Знание SQL — Управление инцидентами (Sev1–Sev4) — Продвинутый английский для прямого общения с клиентами — Внимательность, ответственность, хорошие коммуникативные навыки Условия: — Работа полностью удалённая, только для LATAM (AMER хаб, GMT-3…-6) — Стандартные часы работы 09:00–18:00 по местному времени — Дежурства 1 неделя в ротации с отдельной оплатой (стендбай + оплата за инциденты) — Нет ночных смен, обязательное время восстановления после дежурств — Возможность стать одним из основателей AMER хаба — Реальная автономия, не позиция обработки тикетов — 30–40% времени на инженерные проекты — Работа напрямую с техническим лидом и командой CEMEA