Вакансии

Location: Spain; Bulgaria; Romania; Poland; Slovakia; Czechia Staff DevOps Engineer Who we are Action1 is a cloud-native autonomous endpoint management platform that helps organizations automate operating system and third-party patching, assess vulnerabilities, and secure endpoints at scale. Trusted by thousands of organizations managing millions of endpoints globally, we are building the infrastructure that supports our continued growth. The Role Working hours Working hours close to the CET time zone are preferred to support regular collaboration with your manager and coordination of the team’s workload. Flexibility to adjust working hours for team coordination, planned production changes, and critical incidents. This includes working US time-zone hours for a couple of days when needed to attend team meetings, participate in cross-training, or support handovers. Job Scope We are looking for a Senior / Staff DevOps Engineer to build and operate Action1’s AWS infrastructure, improve deployment automation, and strengthen production reliability and security. This is a hands-on individual contributor role. You will identify problems, make technical decisions, and carry improvements through implementation and validation, with support and input from your manager and peers. You will join a small, collaborative DevOps team where your ideas help shape how we work. There is room to try new approaches, learn from experienced colleagues, and see your work make a difference in production. You will work closely with R&D and QA on releases and production needs. What you’ll do Build and evolve our AWS infrastructure. Design and operate secure, resilient infrastructure across multiple accounts and regions. Evaluate architecture decisions against production requirements, operational complexity, performance, and cost. Build infrastructure as code. Develop reusable components, reduce configuration drift, and make environments reproducible. Maintain infrastructure and automation in Git with peer review, testing, documentation, and clear ownership. Improve deployment pipelines. Build and maintain CI/CD pipelines, automated checks, deployment controls, and rollback mechanisms to make releases safer and more predictable. Develop reliable automation. Use programming, scripting, and APIs to simplify operations, eliminate repetitive work, and build tooling the team can maintain and support. Apply AI in daily DevOps work. Use approved tools such as Codex or Claude for infrastructure code, scripting, testing, troubleshooting, operational analysis, and documentation. Build reusable workflows, independently review and test outputs, protect sensitive information, and follow established review and change controls. Strengthen observability. Improve metrics, logs, traces, dashboards, and actionable alerts. Investigate performance and capacity constraints, connect telemetry to application behavior, and reduce unnecessary alert noise. Own production reliability. Participate in the on-call rotation and lead incident response when needed. Coordinate recovery, communicate clearly, investigate underlying causes, and verify that corrective changes address the problem. Validate resilience and recovery. Develop and test backup, recovery, failover, and maintenance procedures. Use controlled failure exercises where appropriate to identify weaknesses before they affect customers. Continuously assess AWS platform security. Review access, network exposure, logging, vulnerabilities, and misconfigurations across accounts and environments. Investigate security findings and suspicious activity, prioritize work by risk, and drive remediation through implementation and verification, coordinating with Security and the owners of affected systems. Improve AWS security controls. Evaluate and introduce practical improvements to threat detection, automated security checks, and response workflows. Strengthen least-privilege access, network controls, secrets management, encryption, hardening, and auditability. Integrate technical controls into infrastructure and delivery pipelines to meet security and compliance requirements. Improve cloud efficiency. Understand cost drivers, identify waste, and evaluate capacity and architecture improvements using measured workload behavior. Verify savings alongside performance and reliability. Share operational knowledge. Review infrastructure designs and automation code, document decisions, and maintain useful runbooks and technical documentation. What we’re looking for Substantial hands-on experience in DevOps, SRE, or cloud infrastructure engineering for production SaaS environments. A record of independently identifying and solving problems, prioritizing work, and coordinating dependencies while keeping others informed. Deep AWS knowledge and experience designing, operating, and troubleshooting distributed systems across multiple environments. Strong AWS security operations experience, including assessments, incident investigations, and vulnerability and misconfiguration remediation. Hands-on observability experience using metrics, logs, and traces to investigate production issues and build actionable dashboards and alerts. Strong programming or scripting skills in Python, Node.js, or a comparable language for maintainable automation and API integrations. Strong hands-on experience with both Terraform and AWS CloudFormation, supported by Git, code review, testing, and CI/CD practices. Sound understanding of operating systems, networking, DNS, TLS, identity, storage, and database behavior, with the ability to troubleshoot across system boundaries. Experience with production incident response, root-cause analysis, and recovery planning. Practical experience using AI tools in DevOps, including examples of their benefits, limitations, and how you validated and corrected their output. Analytical thinking and sound judgment: test assumptions, distinguish symptoms from causes, weigh trade-offs, verify results, and recognize when broader review is needed. Flexibility to collaborate across time zones and adjust working hours for team coordination, planned production changes, and critical incidents. Nice to have Hands-on Datadog experience for production troubleshooting and reliability improvement. Experience with Terramate for managing Terraform infrastructure across environments. Experience building operational tools or self-service workflows for provisioning, deployments, and environment management. Practical SRE experience, including service-level objectives, capacity planning, and reliability reviews. Experience supporting SOC 2, ISO 27001, or comparable requirements through technical controls and operational evidence. Experience developing AI agents with appropriate access boundaries, evaluation, and human oversight. Experience mentoring DevOps engineers and leading infrastructure or operational improvements. What we offer Fully remote work, with flexibility around team collaboration and production responsibilities. Ownership of infrastructure supporting a growing global platform. Challenging DevOps work and opportunities to deepen your technical expertise. Direct collaboration with experienced, supportive peers.

Задачи: — Разрабатывать надежную серверную логику для взаимодействия с протоколами Lagrange и смарт-контрактами. — Интегрироваться с нодами различных сетей через JSON-RPC и WebSockets. — Создавать высокопроизводительные API для предоставления ZK-доказательств клиентским приложениям. — Реализовывать механизмы кэширования и очередей для обработки транзакций в реальном времени. — Обеспечивать безопасность и устойчивость системы к экстремальным нагрузкам и сетевым сбоям. — Участвовать в проектировании архитектуры протокола совместно с ZK-инженерами. Требования: — Опыт работы в backend-разработке от 4 лет. — Владение как минимум одним языком из стэка: Go, Rust или Node.js. — Опыт работы с Web3 библиотеками (ethers.js, viem, rust-web3) и понимание EVM. — Опыт написания и тестирования смарт-контрактов на Solidity (преимущество). — Понимание принципов децентрализации и работы систем консенсуса. Условия: — Работа удаленная, полный рабочий день. Вакансия рассчитана на специалистов, готовых работать удаленно из Армении.

Location: Remote Workplace: Remote We're looking for a Full Stack Engineer to join our Platform and Internal Tools team, the team responsible for services connecting third-party systems and data sources to product surfaces, as well as internal tooling for clinical providers and patient care coordinators. This team plays a pivotal role in Talkiatry's mission by creating and maintaining the technical infrastructure and tooling that allows us to efficiently match and book patients with providers, support providers in delivering great care, and allow our staff to quickly and effectively assist patients with problems. As an engineer on this team, you'll work on the problems involved in improving and optimizing healthcare delivery. You'll co-own systems that synchronize patient data across multiple platforms and data sources, solve integration challenges, and build tools that clinicians depend on to manage their patients and their day. You'll collaborate closely with product, design, and data to design and build reliable, extensible, and maintainable systems in TypeScript across both backend and frontend (running on AWS). Our team lives by the motto penned by Piet Hein: "Problems worthy of attack prove their worth by hitting back"—and that’s the kind of problems we like to solve. The challenges are meaningful precisely because patient care depends on getting them right. ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.   Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.   Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. YOU WILL: - Contribute to the design, development, and rollout of core technical features and large-scale initiatives that directly impact the efficiency and quality of patient care. - Write clear technical specifications, define architecture, and identify risks before project kickoffs. - Take part in engineering best practices—including code reviews, documentation, testing, and postmortems—to improve team efficiency and code quality. - Collaborate cross-functionally with product managers, designers, and analysts to translate business needs into actionable, measurable features. - Contribute across the stack: from building robust backend services and APIs to creating intuitive frontend tooling in React/TypeScript. - Drive simplicity and scalability in system design to maintain reliability and implementation velocity. - Mentor teammates and take active parts in high-impact initiatives. YOU HAVE: - 1-3+ years of professional software development experience. - Expertise in TypeScript and modern frontend frameworks. - Experience building backend services in TypeScript (Node.js, Express, or similar). - Demonstrated ability to deliver complex projects from design through production. - Experience collaborating with product and other engineering teams, measuring outcomes, and iterating quickly. - Excellent communication and documentation skills. - A bias for reducing complexity, improving systems, and mentoring others. NICE TO HAVE - Familiarity with Nest JS. - Familiarity with healthcare, telehealth, or regulated industries. - Comfort working in a fast-paced environment. WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands - It all comes back to care: we’re a mental health company, and we put our team’s well-being first Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're a small zero-to-one team at Anthropic building brand new consumer AI products. Our mandate: put the full power of frontier Claude models in people's hands, in products that don't exist yet. You'd be a founding engineer, and engineers here own products end to end. You won't be handed a spec. You'll come up with the bet, shape a vague idea into the leanest real version one, and ship it. Most zero-to-one bets don't work the first time, so you'll keep pushing new products over the line. If you'd rather have a clear spec and a stable surface, that's a valid preference. It's just not this team. Claude is already one of the most-used AI products in the world. What we build shapes how millions of people use AI every day. The pace is fast and the products are new. If you love building consumer products from scratch and care about getting the details right, we'd like to hear from you. Key responsibilities Originate new consumer AI product bets and own them from first idea to launch Spot the gap between what Claude can do and what people actually experience, and bring the bet: what to build, why now, and the cheapest way to test it Take a vague direction and cut it down to the leanest real version one Set technical direction for the products you build Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns Partner with privacy, security, legal, design, platform teams and external partners to find a path to launch Iterate quickly based on user feedback and internal testing Keep pushing new products over the line, since most zero-to-one bets don't work the first time Minimum qualifications Experience building consumer-facing products, with a strong emphasis on product quality and user experience Experience taking a consumer product from nothing to real users Proficiency in React, Next.js, and TypeScript Backend experience with Node.js Preferred qualifications 5+ years of experience building consumer-facing products, with a strong emphasis on product quality and user experience Experience founding a company, being on a founding team, or being an early engineer on a new consumer product Experience with products that have real-time or streaming interactions (chat interfaces, live updates) Experience optimizing performance for consumer web apps, from bundle size and rendering to end-to-end latency High agency: you pick a bet and own it without a roadmap Relentlessness: you keep going when a bet fails, verify instead of assume, and stay curious rather than frustrated Product taste: you care a lot about product craft, and you know what you'd refuse to ship Unusually high EQ: you understand other teams' constraints, seek out collaborations that create value for both sides, and can work with any team at Anthropic Willingness to pick up slack, even if it goes outside your job description The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

• Развёртывание и администрирование Asterisk. • Работа с SIP-транками и dialplan.

Full Stack Developer с опытом RFID/IoT-интеграций.

Location: Tallinn Workplace: OnSite Restream is looking for a talented Security Engineer to join us to solve complex challenges and build world-class products. In this role, you will conduct architecture security reviews, application testing, penetration testing, and work with the engineering team, security researchers, and third-party vendors to ensure the security of our systems as we rapidly scale our product and organization. You understand the importance of simplicity and reliability, and you calculate the impact of every decision on each. We believe in small teams where each member contributes significant value. What You'll Do - Perform application and penetration testing. - Work with engineers to analyze systems, threat model new features, and create responsive controls to ensure end-to-end customer protection. - Work with third-party vendors to perform annual application and penetration testing reports. - Maintain, and grow our private bug bounty program; lead the transition to a public bug bounty program. - Give and receive code review feedback from the team. - Maintain a pulse on emerging technologies and discover hidden opportunities in our environment. - Ensure security and resilience of Restream production infrastructure. What We Look For - A scrappy, entrepreneurial attitude that gets high-quality projects done quickly. - Solid knowledge of web applications vulnerabilities and attack vectors. - Experience manually testing web applications, performing penetration testing, and using automated tools for reconnaissance and discovery. - Experience with scripting languages and at least one general-purpose programming language. Node.JS http://Node.JS (TypeScript) or Rust would be a plus but are not a requirement. - Strong written and verbal communication skills. - Self-directed, analytical, and work well in a team environment. - Passionate about keeping Restream customers and employees safe online. Back in 2015, Restream was founded in Ukraine. We had a burning passion for helping creators to be seen and heard. As the #1 multistreaming solution, Restream inspires over 10 million people worldwide to share their stories through live video and follow their dreams. We believe that a small but highly driven and focused team can make a lasting impact on people’s lives. What We Offer - A startup environment and a flat company structure - Work closely with founders and team to build and grow the product - Opportunity to make an impact on the evolution of the product - Ability to create something that influences people's lives - Equity packages for you to truly be a part of the Restream journey - The tech you need to get your job done

Location: Ukraine; Moldova; Albania; Kazakhstan; Montenegro; European Union; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE At Ruby Labs we are looking for an AI Engineer (Strong Middle / Senior level) to own and drive the quality, reliability and evolution of our AI systems in production. This is a high-ownership role. You will be responsible for end-to-end delivery of AI features, production stability of AI systems, and data-driven experimentation using tools like Langfuse and Cloudflare AI gateway for model routing. Increasingly, this includes agentic, tool-using AI systems: defining clean tool contracts (including MCP-based tools) and orchestrating how AI interacts with internal services, search and background pipelines. The stack is TypeScript end to end: Node.js and Hono services on Cloudflare Workers with Durable Objects and Containers, PostgreSQL, OpenSearch. Models from several providers run behind an AI gateway, with prompts, traces and evaluations in Langfuse. KEY RESPONSIBILITIES AI Systems Ownership & Feature Delivery - Take ownership of major AI features and LLM workflows and deliver them to production within agreed timelines. - Own AI output quality, structure and predictability across user-facing AI interactions, with consistent structured output across different LLMs for the same request type. - Integrate and orchestrate multiple LLM providers through an AI gateway, managing model selection, fallback strategies and cost optimisation. - Design and orchestrate tool-using and agentic AI workflows: clean tool contracts (including MCP-based tools), function-calling interfaces and reliable AI-to-system integrations. - Build and maintain multi-step LLM workflows and RAG pipelines (indexing, embeddings, retrieval, re-ranking) for reasoning, context reuse and search. Prompt Engineering, Evaluation & Experimentation - Design and manage production prompt systems with dynamic prompting, context injection, and conditional logic. - Own prompt management, the release of LLM experiments and Langfuse-based evaluation pipelines: test datasets, LLM-as-a-judge, output scoring. - Run A/B tests across models and prompts, analyse the results and present the data-driven impact of AI features and experiments. - Deep-debug LLM chains using Langfuse traces: identify bottlenecks, optimise for cost, latency and context-window usage, and root-cause hallucinations and logic errors. Code Quality & Production Reliability - Write clean, scalable and maintainable TypeScript across the Node.js / Cloudflare Workers stack. - Build reliable backend logic for AI systems: request and output validation, error handling, fallback flows for malformed or low-quality model responses, and reliable tool execution. - Ensure high code quality through tests (including validation and fallback paths for AI output), code reviews and clear engineering standards. - Monitor AI system metrics, quality signals, latency and release health, and resolve production issues with a documented root cause. - Document prompt designs, model and routing choices, evaluation results and architectural decisions, so others can pick up the work. QUALIFICATIONS - 4+ years of backend/fullstack software engineering experience, with production-grade TypeScript/Node.js. - 1+ year of AI/LLM systems in production with real users, not only side projects or experiments. - Daily use of AI-centred development tools (Claude Code, Cursor or similar). - Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini or similar) in production: structured output, function calling, streaming, token and cost control. - Experience with agentic AI, multi-step orchestration, tool-based workflows (function calling / tool execution) or RAG pipelines (indexing, retrieval, re-ranking). - Experience with LLM observability and evaluation tools (Langfuse, LangSmith or similar). - Experience with AI gateways and model routing (OpenRouter, Cloudflare AI Gateway or equivalent). - Solid understanding of relational databases (PostgreSQL) and caching (Redis, KV or similar). - Exceptional ownership and personal responsibility for engineering quality and delivery. NICE TO HAVE - Evaluation frameworks (LLM-as-a-judge, RAGAS) and building test datasets. - MCP (Model Context Protocol): building MCP servers/clients or designing tool contracts for AI agents. - Edge/serverless runtimes (Cloudflare Workers) and their services: KV, Durable Objects, Queues, R2, Containers. - Search engines and vector search (OpenSearch, Elasticsearch, pgvector), embeddings. - Background workflow engines (Hatchet, Temporal, Inngest) for high-volume LLM pipelines. - Browser automation and browser agents (Playwright, CDP, browser-use). - Practical fine-tuning for domain-specific tasks or strict JSON/schema compliance. - Working Python for data science, evaluation scripts, or AI tooling. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   THE OPPORTUNITY - Make web development faster by improving builds, type checking, linting, and tests, both locally and in CI - Evolve our monorepo, package management, and shared configuration so changes across applications and libraries are straightforward and reliable - Simplify development environment setup and support parallel work by engineers and coding agents, with clear documentation and tools that work with minimal configuration - Improve web delivery pipelines, including preview environments, progressive rollouts, production monitoring, and reliable rollback - Strengthen automated validation, including browser-based checks that help engineers and agents verify changes before they ship - Work with product and infrastructure teams to investigate web performance, improve observability, and address problems across application code, tooling, and delivery - Lead tooling upgrades and migrations across teams, balancing long-term improvements with the practical needs of engineers shipping products - Own improvements from design through rollout and ongoing maintenance, staying close to the people using what you build     WHAT YOU BRING - Solid experience building and maintaining production web applications, with a strong understanding of React and the modern JavaScript ecosystem - Strong TypeScript and JavaScript skills, including experience using Node.js to build tooling and automation - A good understanding of how web applications work, including browser behavior, module systems, bundling, caching, and performance - Experience improving developer tooling, build systems, automated testing, or CI/CD pipelines, and the ability to diagnose problems across those layers - Good judgment about reliability, security, maintainability, and when added complexity is worth the cost - The ability to lead a technical design, explain it clearly, and work with other teams to get changes adopted - Ownership: you can take an ambiguous problem, find a practical solution, and keep it working once people depend on it     NICE TO HAVES - Experience maintaining large monorepos, shared packages, or tooling used by multiple engineering teams - Familiarity with pnpm, ESM, and modern build, linting, and test tools - Experience with browser automation, end-to-end testing, web performance profiling, or production observability - Hands-on experience with coding agents and improving the environments, documentation, and feedback loops they rely on - Experience with GitLab CI, containers, or cloud infrastructure supporting web development and delivery - Contributions to open-source frontend infrastructure or developer tools       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Ищем AppSec инженера, способного выявлять уязвимости на уровне кода и архитектуры, а не на уровне отчётов сканеров. Ключевая ценность специалиста — глубокое понимание того, что именно находят SAST/DAST/SCA инструменты, где их слепые зоны, и умение закрывать эти зоны ручной работой.

Location: Spain, Remote/Spain Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams; Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data; Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering; Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback; Automate routine steps in CRM procedures and Jira (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs; Solid experience with Jira: workflows, JQL, automation rules, dashboards; Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing); SQL for your own analysis: joins, aggregations, working with large tables; Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana); Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation); Working with Git, merge requests and code review; Understanding of HTTP, REST APIs and webhooks; Process thinking: you can map a flow, spot the weak step and change it without breaking the rest; Clear writing in English (B2): instructions, task descriptions, short reports; Ownership and autonomy: you drive a change to the end, including agreeing it with other teams. Nice to have: Production experience with Node.js / TypeScript or Go services, and Postgres; Jira administration, Jira Service Management or Assets; Understanding of ITIL processes; Google Cloud and BigQuery; Experience with LLM tools or agents in support: prompts, evaluation, guardrails; Experience at a fintech company and/or a startup. What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn

-Backend-разработка: Строить и развивать серверную часть нашего сервиса чаевых на Python, используя современные фреймворки (Django/FastAPI). -Frontend-разработка: Создавать пользовательские и административные интерфейсы на React, делая их быстрыми и удобными.

Location: Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. 岗位概述 我们正处于 AI 重塑金融基础设施的历史节点。作为 AI Agent 架构师 ，你将成为 AI 智能体系的核心构建者——不只是编写代码，而是定义下一代金融级 Agent 如何感知市场信号、规划执行路径、记忆业务上下文与跨系统协作。你将主导打造可承载真实金融场景的 Agent 体系，覆盖交易辅助、风控研判、合规监察、用户智能服务等核心业务，让 AI 在加密金融的高速、高压、高合规环境中真正自主完成复杂任务。这里没有边界模糊的分工，有的是直接影响亿级用户体验的技术决策权，以及一支对 LLM 与 Agent 技术有极高密度认知的精英工程团队。 核心职责 Agent 体系架构设计 ：主导设计 AI 智能体架构，定义 Agent 在 Openclaw 平台上的运行模型、生命周期管理与资源隔离策略；构建支撑交易辅助、风控研判、合规监察等金融核心场景的 Agent 能力基座，确保系统在高并发、低延迟、强合规约束下稳定运行。 金融场景 Agent 工程化落地 ：将交易信号分析、风险识别、监管合规、智能客服等业务需求转化为可执行的 Agent 工作流；设计任务规划链路（ReAct / Plan-and-Execute）、异常回退机制与结果验证体系，推动 Agent 从 PoC 快速进入生产环境。 Openclaw 平台建设与演进 ：深度参与 Openclaw Agent Runtime 的架构演进与性能优化；设计插件体系、能力注册中心与多 Agent 编排机制，降低业务团队接入成本，持续提升平台的扩展性与复用率。 工具生态与内部系统集成 ：构建标准化工具调用框架，打通 Bybit 内部交易引擎、风控系统、数据平台与外部 API；设计工具权限管控、调用链追踪与错误恢复机制，集成 MCP 等标准协议，构建金融级异构工具生态。 生产质量与可观测性体系 ：主导 Agent 系统的可观测性建设，包括 Trace 追踪、Evaluation 评测、成本监控与延迟治理；建立金融场景下的 Agent 质量基线与回归测试体系，持续提升系统稳定性与可解释性。 技术前瞻与团队赋能 ：持续追踪 Agent 领域前沿进展，将研究成果转化为 AI 工程实践；制定团队 Agent 开发规范与最佳实践，通过 Code Review、技术分享与方向评审推动团队整体 AI-native 工程能力提升。 任职要求 扎实的 LLM/Agent 工程经验 ：具备 3年以上 AI 系统开发经验，其中 1年以上 大型语言模型（LLM）、RAG 或 Agent 系统的生产环境落地经验；具备 Openclaw 平台的开发与优化实战经验，熟悉其 Agent Runtime 架构、插件体系与多 Agent 编排机制，能基于 Openclaw 独立完成复杂 Agent 应用的工程化落地与性能调优。 系统架构能力 ：具备分布式系统设计能力，熟悉微服务架构、消息队列（Kafka / RabbitMQ）、异步任务调度等工程模式；能够独立完成从需求分析、架构设计到技术选型的完整决策链路。 编程能力 ：熟悉至少一门后端语言（ Golang / Java / Node.js ）；具备 REST API 设计与 Docker / Kubernetes 容器化部署能力。 LLM 核心技术理解 ：深入理解 Transformer 架构、Attention 机制、Prompt Engineering（CoT、Few-shot、Structured Output）；熟悉主流模型 API（OpenAI、Anthropic Claude、Google Gemini）及本地部署方案（Ollama、vLLM）。 工程质量意识 ：具备良好的代码设计习惯（设计模式、单元测试、CI/CD）；有构建 LLM 评测（Evaluation）体系或 Agent Tracing（LangSmith / Phoenix / Langfuse）的实战经验。 加分项 有 MCTS、A\*、强化学习（RL） 与 LLM 结合的规划/推理研究或工程经验，熟悉 SFT / RLHF 训练流程。 在 金融、 Web3 、合规 或其他高复杂度垂直领域有 Agent 系统落地经验，理解领域知识对 Agent 设计的特殊约束。 有开源贡献或在 NeurIPS / ICML / ACL / ICLR 等顶会发表过 Agent / RAG / LLM 相关论文。 具备 多模态（Multimodal） Agent 开发经验，包括图文理解、文档解析（PDF / 财报 / 研报）等非结构化数据处理能力。 熟悉 MCP （ Model Context Protocol ） 或参与过 Agent 标准协议的设计与实现。 About the Role We're at an inflection point where AI is fundamentally reshaping financial infrastructure. As an AI Agent Architect , you will be a core builder of AI's intelligent ecosystem — not just writing code, but defining how next-generation financial-grade Agents perceive market signals, plan execution paths, retain business context, and orchestrate across systems. You will lead the construction of Agent capabilities purpose-built for real financial scenarios: trading intelligence, risk assessment, compliance monitoring, and smart user services — engineered to operate autonomously in crypto finance's high-velocity, high-stakes, and high-compliance environment.This is a role with genuine technical ownership. You'll make architectural decisions that directly shape the experience of hundreds of millions of users, alongside an elite engineering team with exceptional depth in LLM and Agent technology. Key Responsibilities Agent Architecture Design : Lead the architectural design of AI's intelligent Agent layer — defining agent execution models, lifecycle management, and resource isolation strategies on the Openclaw platform. Build the foundational Agent capabilities powering core financial scenarios including trading intelligence, risk assessment, and compliance monitoring, engineered for high-concurrency, low-latency, and regulatory-grade reliability. Financial Scenario Agent Engineering : Translate complex financial use cases — trading signal analysis, risk identification, regulatory compliance, and intelligent customer service — into production-ready Agent workflows. Design task planning chains (ReAct / Plan-and-Execute), fallback and error recovery mechanisms, and result validation frameworks that accelerate the path from PoC to production. Openclaw Platform Development & Evolution : Contribute deeply to the architectural evolution and performance optimization of the Openclaw Agent Runtime. Design the plugin ecosystem, capability registry, and multi-agent orchestration mechanisms to reduce onboarding friction for product teams and improve platform extensibility and reusability. Tool Ecosystem & Internal System Integration : Build a standardized tool-calling framework connecting Bybit's internal trading engine, risk systems, data platforms, and external APIs. Design tool permission controls, call-chain tracing, and error recovery; integrate standards such as MCP to unify a financial-grade heterogeneous tool ecosystem. Production Quality & Observability : Lead the observability stack for Agent systems, including trace monitoring, evaluation pipelines, cost tracking, and latency governance. Establish quality baselines and regression testing frameworks for financial Agent scenarios, continuously improving system stability and interpretability. Technical Vision & Team Enablement : Track and internalize cutting-edge Agent research, translating advances into AI engineering practice. Define team-wide Agent development standards and best practices; drive AI-native engineering capability uplift through code reviews, technical sharing, and architectural reviews. Requirements Proven LLM / Agent Engineering Experience : 3+ years of AI systems development experience, including 1+ year of production experience with Large Language Models (LLMs), RAG systems, or Agent frameworks; hands-on development and optimization experience with Openclaw , including familiarity with its Agent Runtime architecture, plugin ecosystem, and multi-agent orchestration mechanisms. Systems Architecture Proficiency : Strong distributed systems design skills including microservices architecture, message queues (Kafka / RabbitMQ), and async task scheduling; capable of independently driving the full decision chain from requirements analysis through architecture design to technology selection. Programming Expertise : Proficiency in at least one backend language ( Golang / Java / Node.js ); solid REST API design and containerized deployment skills (Docker / Kubernetes). Deep LLM Technical Understanding : Strong grasp of Transformer architecture, Attention mechanisms, and advanced Prompt Engineering (CoT, Few-shot, Structured Output); experience with major model APIs (OpenAI, Anthropic Claude, Google Gemini) and local deployment solutions (Ollama, vLLM). Engineering Quality Standards : Strong software design fundamentals (design patterns, unit testing, CI/CD); hands-on experience building LLM evaluation frameworks or Agent tracing pipelines (LangSmith / Phoenix / Langfuse). Nice to Have Experience combining MCTS, A\*, or Reinforcement Learning (RL) with LLMs for planning and reasoning; familiarity with SFT / RLHF training pipelines. Proven Agent system deployments in high-complexity vertical domains such as Finance, Web3, or Compliance , with an understanding of domain-specific constraints on Agent design. Open-source contributions or publications in NeurIPS / ICML / ACL / ICLR on Agent, RAG, or LLM-related topics. Experience with multimodal Agent development, including vision-language understanding and unstructured document parsing (PDFs, financial reports, research papers). Familiarity with MCP (Model Context Protocol) or prior involvement in designing and implementing Agent communication standards. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Задачи: — Разработка архитектуры проектов, сервисов и модулей; — Написание чистого, поддерживаемого и масштабируемого кода; — Ревью пулл-реквестов; — Работа с чужим кодом и рефакторинг. Требования: — Коммерческий опыт разработки на PHP от 5 лет; — Глубокая экспертиза в Laravel, а также знание и понимание Yii2 и Symphony; — Знание основ HTML, CSS, JS; — Опыт работы с Linux, bash, Docker; — Уверенная работа с реляционными БД: индексы, внешние ключи, оптимизация запросов; — Опыт работы с Redis/Memcache; — Способность разбираться в чужом коде; — Использование ИИ в разработке; — Самостоятельность в технических решениях и зрелый подход к разработке. Будет плюсом: — Опыт с Node.js, NestJS; — Опыт с NoSQL; — Опыт в аутсорсе или на нескольких проектах одновременно. Условия: — Формат работы: удалёнка, full-time.

• Использовать AI-инструменты для разработки (Cursor/Copilot/ClaudeCode и аналоги) ежедневно для ускорения разработки, рефакторинга и генерации тестов — при этом проверяя результат и поддерживая чистоту кода.

Задачи: — Разработка новых функций и продуктов на TypeScript — Написание unit-тестов с использованием TypeScript и Jest — Исправление различных багов, зарегистрированных в Jira — Участие в процессе релизов и деплоя Требования: — Более 6 лет опыта разработки, предпочтительно с TypeScript и Node.js — Продвинутые навыки фронтенд-разработки с использованием React или аналогичных технологий — Опыт работы с Git и системами контроля версий — Понимание систем сборки JavaScript и пайплайнов разработки — Практический опыт работы с фреймворками тестирования, такими как Jest или Mocha — Pонимание Redux и Immer или аналогичных библиотек неизменяемости — Знания SSH Преимущества: — Опыт работы с C++ — Понимание CI/CD пайплайнов — Хорошее знание Docker и Linux-систем — Опыт работы с WebSockets и долгоживущими приложениями — Знакомство с AWS Условия: — Зарплата от 5.000 до 10.000 EUR — ДМС — Оплачиваемый ежегодный отпуск до 25 дней — Бесплатное членство в спортивном клубе — Возможность получения ВНЖ/ПМЖ в Болгарии При заинтересованности, ждем Ваше резюме на английском языке.

Location: Москва Workplace: Офис Команда личного кабинета Яндекс ID создаёт и поддерживает инфраструктуру, которая позволяет миллионам пользователей управлять своими данными и получать доступ ко всем сервисам Яндекса. Мы ищем коллегу в команду разработчиков интерфейсов. Наш стек: React, TypeScript, GraphQL, Effector, Vite. Яндекс ID — ключевой компонент экосистемы Яндекса. Мы обеспечиваем сквозную авторизацию на портале и во внешних сервисах, отвечаем за регистрацию, авторизацию и управление пользовательскими данными. Наши приоритеты — удобство и безопасность. Команда личного кабинета Яндекс ID создаёт и поддерживает инфраструктуру, которая позволяет миллионам пользователей управлять своими данными и получать доступ ко всем сервисам Яндекса. Наша команда разработчиков интерфейсов взаимодействует с бэкенд-командами всей компании, продуктами и дизайнерами. Мы живём двухнедельными циклами планирования и полугодовым стратегическим планированием. Любим автоматизировать то, что становится рутиной. Стек технологий: React, TypeScript, GraphQL, Effector, Vite. Обязанности Проектирование продукта и архитектуры Вам предстоит участвовать в проектировании продукта, обсуждать и предлагать архитектурные решения вместе с командой, продуктами и дизайнерами. Интерфейсы и эксперименты Вы будете разрабатывать интерфейсы, поддерживать многочисленные эксперименты и обновления, писать на JavaScript и TypeScript для браузера и на Node.js для BFF. Качество, скорость и безопасность Вы станете улучшать качество и повышать скорость работы интерфейсов. Вместе с командами из разных сервисов Яндекса вы сделаете так, чтобы управление пользовательскими данными было удобным и безопасным. Больше о фронтенде в Яндексе — в канале Yandex for Frontend Требования * Работали с React и TypeScript в production-проектах * Понимаете асинхронные процессы: загрузки, ошибки, повторные запросы, многошаговые флоу * Знакомы с GraphQL (желательно Apollo Client) * Писали unit- и E2E-тесты (Vitest/Jest, Playwright) * Умеете писать поддерживаемый код и работать в слоистой архитектуре (FSD или аналог) Будет плюсом * Работали с Effector или другим явным state management (Redux, MobX, Zustand) * Имеете опыт с NestJS либо BFF, SSR * Знакомы со Storybook, i18n, формами и валидацией

Talablar: — HTML, CSS, JavaScript — React, Vue yoki Angular — Python, Node.js yoki PHP — REST API, SQL, Git — PostgreSQL yoki MySQL — Web xavfsizligi asoslari Vazifalar: — Kompaniya saytlari va web-platformalarini ishlab chiqish — Frontend va backend qismlarini yaratish — API va CRM/ERP tizimlari bilan integratsiya — Telegram botlar va web-servislar bilan ishlash — Ma’lumotlar bazasi, sayt tezligi va xavfsizligini optimallashtirish Qo‘shimcha ustunliklar: Odoo, Django, FastAPI, Docker, Linux, Telegram Bot API va CRM/ERP tajribasi.