Вакансии

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA About the Role Cloudflare’s Emerging Technologies & Incubation team builds and launches bold new products on Cloudflare’s edge network. This role is on the Durable Objects team, which powers stateful serverless applications for Cloudflare customers. You’ll help evolve the runtime and the low-level routing and storage systems that support real-time chat, multiplayer games, AI agents, and other stateful workloads at scale. Responsibilities Build and improve the Durable Objects runtime. Design and develop the low-level routing and storage systems that power customer applications. Improve reliability, scalability, performance, and feature depth. Own code end-to-end from design through production. Solve complex problems in production distributed systems. Work across JavaScript, TypeScript, Rust, and C++. Help drive the continued evolution of the system. Desirable Skills, Knowledge & Experience 5+ years of experience writing systems software. Operational mindset with experience owning code in production. Strong foundation in data structures, algorithms, and system design. Deep expertise in at least one systems programming language such as C/C++ or Rust. Experience designing and architecting large-scale distributed systems. Familiarity with cloud platforms, especially serverless architectures. Experience as a technical leader or team lead, driving engineering decisions. Bonus Points Experience working on database internals, especially SQLite. Deep understanding of web technologies such as browsers, HTTP, JavaScript, and WebAssembly. Background in low-latency, real-time environments such as game streaming, high-frequency trading, or payment systems. Experience debugging, optimizing, and identifying failure modes in large-scale Linux-based distributed systems. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Mountain View, California, USA Workplace: Hybrid About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Foundation models: training, new architectures, RL, reward modeling, scaling - Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis - Frontier topics: multimodal models, agents, tool use, test-time compute, world models - Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI - PhD in ML/NLP — or equivalent practical experience you can point to - Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions - Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result If you learned through building, competitions, or collaborations outside academia, that counts. We care about evidence, not credentials. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go - You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output - You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $270,000 - $500,000+ bonus + equity + benefits. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Prague Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Backend Reliability (BRE) team is the backbone of our backend infrastructure and the guardian of our uptime. Our mission is to achieve and sustain 99.99% availability while building the tools, components, and safety nets that the entire engineering organization relies on. As a Senior / Staff Backend Engineer on this team, you won’t just close tickets - you’ll architect core reliability solutions that shape how Wrike scales, performs, and recovers from failure. Your Impact: Design, build, and maintain critical reliability components such as HTTP rate limiters, internal DB schema migration tools, circuit breakers, and distributed Redis-based caching. Troubleshoot complex production issues, optimize PostgreSQL usage, and ensure our distributed systems remain performant and stable under high load. Lead preliminary investigations during severe production incidents: identify likely root causes, assess impact, and propose mitigation options. The long-term fixes are then implemented by the owning team, based on your findings. Create scalable, reusable tools and frameworks that help other engineering teams build more resilient services. Leverage AI-powered tools and coding agents to accelerate development, analyze architectures, and automate repetitive or error-prone tasks. Influence reliability best practices across engineering by sharing knowledge, reviewing designs, and setting high technical standards. Your Qualifications: Strong expertise with Java/JVM, building scalable, high-performance backend systems; open to leveraging other languages when appropriate. Solid understanding of distributed systems concepts, including high availability, CAP theorem, and fault tolerance. Deep experience with relational databases (PostgreSQL) and key–value / non-relational storages (Redis). Practical experience with containerization and cloud-native environments, including Docker and Kubernetes. Hands-on experience with message brokers such as RabbitMQ or Kafka. Ability to work independently with minimal supervision, using critical thinking to question assumptions and validate your own decisions. Strong written and spoken English skills suitable for collaborating in an international engineering environment. Standout Qualities: Background in infrastructure engineering or Site Reliability Engineering (SRE), including infrastructure-as-code practices. Experience leading technical initiatives, driving cross-team projects, and mentoring other engineers while remaining an individual contributor. Familiarity with observability and monitoring stacks (e.g., Graylog, Zabbix, Grafana) and/or data analytics tools such as BigQuery. A strong interest in how complex systems fail and a track record of designing them to recover gracefully. Team Dynamics: You will join the Backend Reliability (BRE) team, a small, highly specialized, senior group focused solely on Wrike’s reliability. The team operates as an internal “reliability task force,” partnering closely with product and platform engineering teams across the company. You’ll collaborate with other senior engineers who value autonomy, deep technical discussions, and rigorous engineering practices. The culture is ownership-driven: you are trusted to manage your time, make architectural decisions, and drive initiatives to completion. Our Work Style: The BRE team works on core backend and infrastructure services that support millions of users. We operate in a collaborative environment that values clear communication, thoughtful design, and fast feedback loops. Tech focus areas include: Java/JVM-based services, PostgreSQL, Redis, Docker, Kubernetes, RabbitMQ/Kafka, and observability/monitoring tools. We encourage the use of modern AI-based tooling and coding agents as part of daily development and troubleshooting workflows. Work is organized with an emphasis on impact and reliability goals rather than ticket volume, giving you room for deep work and long-term improvements. Hybrid work mode (Prague, Czech Republic / Nicosia, Cyprus), with flexibility to balance focused individual work and collaborative sessions. Benefits & Perks: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Hybrid Working Model Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus What’s next? Interview with a Recruiter Technical interview System Design Interview Cultural interview Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Limassol Wisebits is an international IT holding company with a strong technical team. Our key product is a high-load video hosting platform used daily by millions of people around the world. Over more than 15 years in the market, we have built a professional team where engagement and initiative are truly valued.  If you want to work with a high-load product and have the opportunity to influence its development, join us! We are looking for an AI Automation Engineer who will develop and implement applied AI solutions to automate the company’s internal processes. The main goal of this role is to identify routine, time-consuming, or poorly scalable processes across different teams and turn them into reliable AI tools and services. What you'll be working on: Develop AI tools for automating code review and analyzing code changes. Build systems for automatically analyzing product and technical metrics, logs, and events, including anomaly detection. Integrate Slack, task trackers, knowledge bases, and the company’s internal services. Develop AI agents, for example, for creating tasks from Slack threads, searching for similar bugs, and preparing concise summaries. Automate incident analysis, identify possible root causes of failures, and prepare draft post-mortems. Create tools for automated checks of websites, domains, and SEO metrics. Design and develop custom MCP servers, RAG systems, and pipelines for working with corporate data. Evaluate the quality of AI solutions, reduce error rates, and control the cost and speed of their operation. Work with both cloud-based models and local LLMs. What we expect from you: Practical experience in developing solutions using AI/ML. Experience working with APIs of cloud AI platforms, such as OpenAI and Anthropic. Experience launching, additional training, and fine-tuning local models. Good understanding of how LLMs, Transformer models, embeddings, and vector search work. Experience developing custom solutions based on MCP and RAG. Experience integrating AI services with external APIs, databases, and corporate systems. Strong development skills in Python, TypeScript, Go, or other backend or systems programming languages will be an advantage. Understanding of different neural network architectures, including Transformers, NLP models, RNNs, and others. Experience with Docker, Linux, Git, and basic CI/CD processes. Ability to turn an informal business need into a working technical prototype and then into a stable production service. Nice to have: Experience with LangGraph, LlamaIndex, Haystack, Semantic Kernel, or similar frameworks. Knowledge of PyTorch, Hugging Face Transformers, PEFT, LoRA, or QLoRA. Experience with local inference using vLLM, Ollama, llama.cpp, TGI, or similar solutions. Experience with vector databases and search systems: PostgreSQL/pgvector, Qdrant, Milvus, Weaviate, Elasticsearch, or OpenSearch. Skills in building LLM quality evaluation systems: evaluation datasets, automated tests, human feedback, hallucination monitoring, and regression testing. Understanding of information security, access control, and confidential data protection when working with AI. Experience processing logs, metrics, and time series data, as well as detecting anomalies. Experience developing AI agents and systems using tool calling. Understanding of observability. Experience with Kubernetes and cloud platforms. We are not looking for an academic researcher, but rather a strong hands-on engineer who can quickly understand new AI technologies, build prototypes, validate their value, and bring successful solutions to production. What we offer: Work on an ML product with millions of users and real-life metrics. A compact team where every engineer can influence the product and develop expertise across several areas. Experienced colleagues to discuss ideas with, think together, and launch new projects and features. A simple structure with minimal bureaucracy and maximum responsibility. Annual salary review and bonuses. Benefits: medical insurance, tax compensation, learning opportunities, equipment, and language courses. Relocation to Cyprus: visa support, relocation coverage, flight tickets, and the first month of accommodation. Flexible schedule, a comfortable atmosphere, and team support. Work format: Remote / On-site Salary: from €3,500 net per month. The final compensation level may be higher and depends on relevant experience, skills, and overall match with the role requirements.