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Location: New York, Chicago, or Remote About Us: When someone is out of work with a serious injury or illness, the last thing they need is a claims process that's slow, confusing, or unfair. That's what EvolutionIQ is here to fix. EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026. Your Impact: This is a hands-on Staff Engineer role that impacts a whole business. You'll help architect systems and set the engineering best practices others build on, think hard about where and how to bring AI to bear (the right tools, in the right systems, at the right time), and write the code that turns those decisions into value for our customers. There's serious architecture in this work: assessing complex, sometimes messy legacy platforms, deciding what to keep, rebuild, or replace, and setting the technical direction. And there's serious coding: building the production systems that direction turns into, and prototyping new ideas from scratch. The two reinforce each other, and we're looking for someone who wants both the architectural judgment and the daily craft of writing excellent code. Key Responsibilities: Architect systems and write the code that makes them real, bringing EvolutionIQ's AI-native products into CCC's auto casualty business Dig into complex, sometimes messy legacy systems; decide what to rebuild, replace, or keep; and drive that work hands-on Build backend architectures that hold up in production, moving between fast prototypes and stable, long-lived systems, with AI and agentic tools core to how you work Set the engineering standard (best practices, design docs, code reviews, consistency) in close partnership with Product, Data Science, and Data Engineering Requirements: 8+ years of engineering experience, with a track record of owning features end to end: partnering with Product, scoping, designing data models, implementing, and living with the system long-term A strong hands-on coder in our stack: Python primarily, with TypeScript / JavaScript across the front end Deep architectural experience with existing systems, not just greenfield: evaluating, modernizing, and replatforming, including multi-tenant, multi-user backends and solid relational database design Experienced with AI-assisted and agentic engineering tools, and can point to real work you've shipped faster because of them Ask the right questions to understand a customer's business problem, and connect your technical work to business impact A crisp communicator with the emotional intelligence to build trust across teams Nice to Have: Experience across both startups or scale-ups and larger enterprises, which mirrors the EvolutionIQ-into-CCC nature of this work Familiarity with insurance, claims, or the auto casualty space Work-life, Culture & Perks: Compensation : The base salary range is $245-270K , with flexibility depending on a candidate’s background and experience plus annual bonus plan Well-Being : Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family : Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life : Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training : $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement. Sponsorship : We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals. You will design environments and actions for agentic professional work, make model selection decisions, manage context windows, create optimal tools, and develop evals that enable faster iteration loops to unlock new capabilities. We're looking for engineers and researchers who are immersed in the space, driven to ship impactful products, and are experienced in using practical evaluations to drive task completion quality and customer delight. WHAT YOU'LL DO - Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, and ship agents that get the job done. - Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development. - Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns. - Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions. - Stay current on new developments in agentic systems and bring those learnings back to the products we build. WHAT YOU HAVE - 10+ years (post-BS/MS) of software engineering experience. - Passion for building effective domain-specific agents. - Iterative mindset: you develop proof of concepts, make decisions quickly, and ship v0s. - Comfortable with when and how to use evaluations to drive quality. - Humble and adaptable about code and frameworks. We expect you to drive adoption of new best practices as they develop. - We are hiring for this role across Mid, Senior, and Staff levels. - Proficiency in Python and experience working with LLM APIs and agent frameworks. - Experience with shipping user-facing products, either on the backend or full-stack. COMPENSATION $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Задачи: — Спроектировать целевую архитектуру новой платформы с нуля: домены, сервисы, интеграции, модель масштабирования. — Определить границы MVP и заложить архитектурные инварианты для дальнейшего развития. — Спроектировать контур интеграции с моделями нейросетей (изоляция вычислений, контроль SLA). — Принимать ключевые решения по стеку и паттернам, проводить код-ревью, формировать инженерную культуру. — Взаимодействовать с ИБ/DevSecOps, закладывая требования безопасности на этапе проектирования. — Сформировать команду после завершения архитектурно-аналитической фазы. Требования: — 6+ лет коммерческой backend-разработки, из них 2+ года в роли Tech Lead / Solution Architect на HighLoad проектах. — Отличное знание Java и уверенный опыт проектирования распределенных систем (очереди, кэши, масштабирование). — Опыт работы с Go (или сильная экспертиза в HighLoad и готовность стать владельцем Go-контура). — Понимание frontend-архитектуры (взаимодействие с React) и принципов встраивания AI/ML в промышленные ИС. — Умение проектировать MVP как архитектурно правильное ядро, а не «костыль». — Опыт работы в проектах с требованиями ИБ и аттестации будет огромным плюсом. Условия: — Зарплата: от 400 000 ₽ на руки (выплаты 2 раза в месяц). — Формат: Офис в Москве (5/2, 09:00-18:00 или 10:00-19:00). После испытательного срока — 1 день удаленки. — Оформление: строго по ТК РФ. — Бонусы: IT-аккредитация, выдача техники, подключение к ИИ-сервисам, обучение, возможность карьерного роста.

Location: Remote / Boston / Salt Lake City / San Francisco / New York The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. We're looking for a midlevel or senior IC to join our Platform/API engineering team. You'll be responsible for building, maintaining, and promoting our JavaScript client library, working closely with our design team to bring production-ready interfaces to life. This role is primarily focused on TypeScript/JavaScript, with some full-stack/Python work as well. Responsibilities Own, build, and maintain our JavaScript client library, ensuring it is robust, well-tested, and easy for external users to integrate with. Integrate native libraries into JavaScript/TypeScript code using tools like N-API, node-addon-api, or Wasm. Build responsive, performant front-end applications using React, Redux, Vite, Web Workers, and WebSockets. Contribute to full-stack projects, including backend work in Python (or Rust), REST API design, and database/migration work. Work between design and engineering teams to translate designs (e.g. Figma handoffs) into production-ready components and design systems. Set up and maintain CI/CD pipelines, including publishing to npm. Document components using Storybook or similar tooling. Collaborate cross-functionally to ensure smooth feature rollouts and updates. Preferred background Experience working between high-performing design and engineering teams, including production-ready design systems and tools (e.g. Figma handoffs). Proficiency with React, Redux, Vite, Web Workers, and WebSockets. Background in trading, market data, or quantitative finance. Hands-on backend experience building APIs, working with databases, and migrations. Full-stack experience with backends in Python or Rust, including REST API design. Familiarity with Storybook or similar component documentation tooling. Good communication skills and work ethic for a remote workplace. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $130,000–$215,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Location: Remote - Toronto, Ontario Workplace: Remote The Company At Nylas, we specialize in making it easier for developers to add email, calendar, and contact management features into their applications. We provide APIs, which streamline the integration of these functionalities, ensuring they are secure and effective. This enables better, safer, and more reliable communication within apps. Supporting over 100,000 developers and collaborating with more than 900 companies globally, Nylas plays a pivotal role in how digital communication tools are built and utilized. Our technology spans various sectors, from healthcare to education, simplifying the complex process of app development related to communications. By reducing the barriers in communication technology, we empower developers to innovate and enhance user interaction across platforms. ABOUT THE TEAM At Nylas, we are building the infrastructure that powers modern communications. Our APIs and platform help developers integrate email, calendar, scheduling, contacts, notetakers, and agent accounts into their applications without managing the complexity underneath. The Nylas Dashboard is the control plane for that platform. It is where customers create applications, connect accounts, configure domains, manage grants, debug issues, explore product capabilities, monitor logs, and understand how their integrations are performing. As Nylas continues to evolve for an AI-native future, the Dashboard must evolve with it. We are turning it from a traditional admin surface into a fast, intuitive, intelligent product experience that helps developers ship faster, understand what is happening across their integrations, and confidently operate full-stack communication workflows. ABOUT THE ROLE We are looking for a Software Engineer to help build and modernize the Nylas Dashboard and the full-stack product surfaces that surround it. This individual will be primarily responsible for the Nylas Dashboard, but the scope extends beyond frontend pages. You will work across the stack, owning the user-facing surfaces, APIs, services, data models, product workflows, and internal platform patterns that make Nylas easier to use and easier to build on. This is a foundational role for someone who wants to shape how developers interact with Nylas in the AI era. You will help transform the Dashboard into a polished, reliable, AI-native control plane that supports core Nylas products, including Email, Calendar, Scheduler, Notetaker, Transactional Send, Inbound Email, and Agent Accounts. You will partner closely with product, design, backend engineering, platform engineering, and go-to-market teams to ship experiences that feel fast, coherent, and deeply useful to technical users. WHY THIS ROLE IS DIFFERENT This is not a narrow frontend role, and it is not limited to a single product surface. You will own critical product surfaces that every Nylas customer touches. You will help define the patterns other teams build within. You will work on the Dashboard shell, navigation, shared components, product pages, backend APIs, authorization flows, observability surfaces, onboarding experiences, and agent-powered workflows. The person in this role should be excited by the idea of making Nylas feel more modern, cohesive, fast, and AI-native. You should care about developer experience, product craft, system design, and the operational details that make complex platforms feel simple. If you want to help modernize a developer platform for the AI future we are already in, this role is for you. WHAT YOU’LL DO - Build and own core Dashboard infrastructure, including the application shell, navigation, layout patterns, shared components, and product surfaces used across Nylas. - Design and implement full-stack product experiences across frontend, backend APIs, data models, permissions, service integrations, and deployment paths. - Modernize the Nylas Dashboard into a fast, polished, cohesive control plane for developers and technical teams. - Build AI-native and agent-facing experiences that help users configure products, understand errors, debug integrations, apply best practices, and operate Nylas more effectively. - Work across Nylas product areas, including Email, Calendar, Scheduler, Notetaker, Inbound Email, Transactional Send, Domains, Logs, and Agent Accounts. - Partner with backend and platform teams to design clean APIs and service boundaries that support excellent user experiences. - Drive performance as a product feature. Profile, measure, and optimize Dashboard interactions so the product feels fast and responsive. - Create reusable abstractions and shared patterns that help other engineering teams ship product surfaces consistently. - Improve onboarding, activation, self-serve configuration, troubleshooting, and product discovery across the Dashboard. - Use AI-assisted development tools to accelerate implementation, improve quality, explore product behavior, and help define how AI fits into Nylas’ engineering workflows. - Ship incrementally and continuously, using customer feedback, product intuition, and technical judgment to improve the platform every week. - Collaborate closely with Design, Product, Customer Success, Solutions Engineering, and Developer Relations to translate customer feedback into product improvements. WHAT WE’RE LOOKING FOR - 4+ years of experience as a software engineer building user-facing products. - Strong full-stack engineering experience, especially with modern frontend development using React, TypeScript, and component-driven architecture. - Experience building backend APIs, services, data models, and integrations that power production product experiences. - A strong product mindset. You care about usability, information architecture, developer experience, performance, and the details that make software feel excellent. - Experience building products for developers, technical users, internal platforms, or complex B2B SaaS workflows. - Systems thinking. You naturally create reusable abstractions, composable components, shared patterns, and clean APIs rather than one-off solutions. - Comfort working in ambiguous product areas. You can take a rough problem statement, clarify the goal, make pragmatic tradeoffs, and turn it into shipped software. - Strong communication skills and the ability to collaborate effectively with product, design, backend engineering, platform engineering, and customer-facing teams. - A bias toward shipping. You move quickly, iterate based on feedback, and hold a high bar for quality without getting stuck in long planning cycles. - Experience using AI tools in your own development workflow, with opinions on how they should improve engineering productivity and product experiences. NICE TO HAVE - Experience working on dashboards, developer portals, control planes, admin surfaces, or platform products. - Experience with Next.js, GraphQL, REST APIs, Go, gRPC, Postgres, Redis, or cloud-native service architectures. - Experience building observability, logging, debugging, billing, authentication, authorization, or configuration surfaces. - Experience working on horizontal platform teams where other engineering teams build on top of your infrastructure. - Experience building agent-powered products, AI-assisted workflows, or LLM-powered developer tools. - Experience working with design tools such as Figma and v0. - Contributions to open source projects, especially in the React, TypeScript, frontend infrastructure, or developer tooling ecosystem.   INTERVIEW PROCESS (SUBJECT TO CHANGES) - Round 1 - The Intro: 30 minute discussion with the Hiring Manager - Round 2 - The Deep Dive: 60 minute live technical assessment - Round 3- The Loop: A series of 45-minute chats with the team (max 3 hours) where we look for the "what, why, and how" behind your best work.   During the various discussions, candidates selected to meet with us are strongly encouraged to not only discuss their knowledge, skills, experience, and abilities but also to showcase examples of their current or previous work. We expect you to clearly outline the "what," "why," and "how" behind your contributions.   Actual compensation will be determined based on individual qualifications, which are objectively assessed during the interview process. Factors influencing salary include knowledge, skills, experience, and abilities. Nylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Your job is to build Alpaca's algo trading platform to satisfy our users who expect high quality and performance from their brokerage service.  This opportunity is similar to joining AWS or Heroku in their early days,  designing and architecting our platform by wearing many different hats in our small team. As an experienced engineer, you will write tons of code and make critical decisions about delivering the best experience to our customers.  This certainly requires deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed system architecture for high availability and object-oriented data modeling with long term growth in mind. Joining an early stage startup, the payoff to this highly demanding environment will be worth the effort. You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading). Who You Are (Must-Haves): Strong, experienced software engineer with lead experience is preferred Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python Low latency and high throughput optimization Experience with messaging queues and message brokers Analytical data-oriented mindset and skills Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control System design skills with object-oriented data modeling, service-oriented architectures, system abstraction Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS) Who You Might Be (Nice-to-Haves): Algo trading experience (either professional or personal) FIX protocol knowledge Experience with observability, tracing, continuous profiling and benchmarking Financial market (exchange, broker-dealers, clearing, etc.) knowledge Experience with financial ledgers Statistical and quantitative analysis skills Experience with major cloud platforms (we primarily use GCP) Experience with Docker and Kubernetes How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 are looking for growth engineers to join our growth team. This key role will help drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. Key responsibilities Develop and implement technical solutions to support user acquisition, activation, retention, and revenue growth Design and execute A/B tests and experiments to optimize user onboarding, feature adoption, subscription conversion, and overall product experience Collaborate with product and marketing teams to identify growth opportunities and translate them into technical requirements Minimum qualifications Experience working on user growth (acquisition, activation, retention, monetization) or have worked in a revenue focused organization like ads. Have experience full-stack development (web/React and backend), and experience with data analysis and experimentation frameworks Take a data-driven approach to problem-solving, with a keen eye for identifying patterns and opportunities in user behavior and metrics Are passionate about the potential of AI to reach and benefit a wide audience, and eager to tackle challenges in scaling AI products Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional partners and teammates Preferred qualifications 5+ years of experience as a software engineer Have ideas for experiments to run to drive user growth or monetization Able to dive into data and identify opportunities Possess a vision for the future of AI product growth and a drive to make that vision a reality 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.

Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: Remote - United Kingdom Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . About the job The Twilio Presales Engineer is both highly technical and a skilled executive relationship builder. They are comfortable showing an engaging communications experience to a CEO or sketching out a flow on a whiteboard with technical decision makers. This position is needed to deliver the technical win and product fit to our customers across the EMEA region. A Twilio Presales Engineer is an experienced pre-sales engineer who builds customer trust in Twilio’s Customer Engagement Platform, resulting in customer success at our largest, most strategic accounts. The Presales Engineer leads the technical pre-sales relationship, proposes technical architectures, demonstrates the product, anticipates concerns, and provides creative solutions to our customers' most complex communications and customer engagement challenges and needs. Responsibilities In this role as Presales Engineer, you’ll: Work alongside Twilio New business Account Executives, other Twilio Solutions Engineers, Professional Services and Twilio Partners as needed through the pre-sales process, to strategise and plan for deal success. Build a successful business partnership with Twilio Account Executives focussing on great business discovery within prospects and communicating the business value of Twilio solutions. Take part alongside Account Executives in qualification, discovery, demonstrations, Proof-of-Concept, RFP response, design documentation, technical presentations and enablement sessions during the sales cycle. Develop subject matter expertise on the customer needs and requirements, and Twilio’s best in class communications technology. Lead technical discovery sessions with our customers to uncover their needs and challenges to articulate Twilio’s ability to enable their success and solve their challenges. Build and present powerful and complex presentations and product demos to help showcase the capabilities of Twilio Communications Products. Form an understanding of a customers business and help solve problems they’ve identified as well as uncover areas of opportunity. Build trusted advisor relationships at the highest levels of our customers and present creative new solutions and architectures that enable and inspire innovation Contribute to the wider Twilio Solutions Engineer community by sharing knowledge, building demo assets and reusable presentations. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Twilio is looking for a Presales Engineer with a strong desire to work in a technical pre-sales role. You will need: Required: At least 3 years in a technical pre-sales role in CPaaS, SaaS or Telecom space Solid understanding and experience of the sales cycle and the role of a pre-sales engineer Solid understanding of voice protocols (VoIP), SIP implementations or messaging APIs Creativity: you’ll need to be a problem solver, able to collaborate with others to drive success. An engaging storyteller: you can gain audience confidence and communicate complex topics to multiple levels of technical and non-technical audience. Ability to ask the right questions to build a deep understanding of a customers needs and guide them to a technical solution using Twilio Communications products Knowledge of public cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architectures Experience writing code in one or more of the following areas, multiple areas of experience would be advantageous: Backend (Java, C#, Node.js, Python or PHP) Web (JS, React) Experience with designing and consuming REST APIs Desired: Hands on experience with with backend development (Java, C#, Node.js, Python, PHP, etc) Familiarity with Mobile development, especially for iOS and Android. Previous experience in Telecommunications, SIP, WebRTC, or Contact Centre in a technical role Experience with automation, cloud-native development and skills with a major cloud platform. Experience with sales methodologies Location This role will be remotely based in the UK or Ireland We prioritise connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

About the team The KYC team focuses on driving operational excellence by automating and optimizing processes for Airwallex’s internal ops teams. They build tools and systems to streamline user onboarding and registration approval, predict and mitigate user risk (including blocking malicious users), and leverage AI and automation to enhance the efficiency of internal operations. What you’ll do As an Engineering Lead / Manager in the KYC team, you will play a key role in developing and optimizing critical systems and tools to improve user onboarding, automate manual operations, and enhance risk detection. You will work closely with product, operations, and engineering peers to deliver impactful technical solutions at scale. You will mentor and guide others as the team grows. This role is based in Singapore. Responsibilities: 1. Design, build, and maintain scalable automation tools and systems that improve internal operational efficiency and customer onboarding experience. 2. Develop and implement AI and data-driven solutions to predict user risks and prevent fraudulent/malicious activities. 3. Collaborate with stakeholders (product managers, operations, compliance, and other engineering teams) to define requirements and deliver impactful solutions. 4. Participate in architectural discussions and code reviews, contributing to high-quality engineering standards. 5. Continuously improve system reliability, performance, and scalability. 6. Serve as a technical role model for junior team members and support their technical growth when needed. Who you are Minimum qualifications: 1. Bachelor’s degree in Computer Science or related fields. 2. At least 5+ years of software engineering experience. 3. Strong ability to quickly understand complex business processes and propose effective technical solutions. 4. Excellent organizational and communication skills, with proven ability to collaborate across different teams and stakeholders. 5. Solid software engineering skills, with experience in backend or frontend development using Kotlin/Java/React/TypeScript. 6. Hands-on experience in building scalable, robust automation or workflow systems. 7. Self-driven and proactive in identifying problems and driving improvements. Preferred qualifications: 1. At least 1+ year of experience leading or mentoring engineers, ideally as a team lead or project lead. 2. Experience applying AI or machine learning techniques to solve real-world problems, especially in automation or risk detection scenarios. 3. Familiarity with commonly used automation and workflow tools in cloud environments (e.g., AWS, GCP, Kubernetes, CI/CD pipelines). 4. Experience mentoring or guiding junior engineers in a technical capacity. 5. Previous experience working in fintech, payments, or a fast-paced startup environment. 6. Familiarity with compliance, risk control, or onboarding related business domains is a plus.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Event Contracts are one of the fastest-growing financial innovation categories globally over the past two years, showing significant potential across crypto, politics, sports, and macro events. We are building our own Event Contract product line from the ground up. We are looking for a Senior Product Manager who understands both financial products design, trading systems and market microstructure to take the business line to the next growth phase. What You’ll Be Doing Own the full lifecycle of this business line — from mechanism design and liquidity build-out to user growth and experience optimization — driving the end-to-end planning and execution of the Event Contract product line. Product Mechanism Design : Own the overall design of Event Contract products, including but not limited to product specs for Up-Down, Between (range), and Hit; strike price generation logic; settlement mechanism design; and the specs of contracts on crypto, equities, and other underlyings. Market Depth & Liquidity Framework : Design and drive the Market Maker incentive and obligation framework (spread, depth, uptime, and other obligation metrics); continuously monitor order book quality (spread / depth / uptime) to keep the product competitive on key liquidity metrics. Business Growth : Own user experience, user growth, and business scaling for this category — including defining and executing user growth campaigns, acquisition/retention/activation strategies, and coordinating channel and operations resources; accountable for core business metrics such as trading volume and user count. Competitive Research, Data-Driven Decisions & Cross-Team Collaboration : Continuously track the product mechanisms, fee structures, volume composition, and growth strategies of leading domestic and international competitors, translating industry best practices into product iteration plans for our platform; conduct in-depth analysis of internal trading data to produce actionable product and growth recommendations; work closely with Trading Engine, Frontend, Risk/Settlement, Liquidity/Market Making, and Operations teams to drive execution and iteration. New Business Exploration : Explore opportunities to combine event contracts with other product formats (e.g., structured products, social/community mechanics, copy trading, broker distribution partnerships) to open up new growth curves for the platform. What We Look For In You Experience building complex backend systems from 0 to 1 (e.g. trading systems, ad systems, e-commerce systems, or payment systems). Candidates with internet product growth experience, having led acquisition/retention/activation campaigns and owned business outcomes and metrics, have a strong advantage. Exceptional learning ability, logical reasoning, and quantitative skills. Strong ability to abstract and translate real-world business scenarios into elegant data structures and business logic. Deep understanding of financial derivatives principles, and experience owning the 0-to-1 design or large-scale overhaul of futures/options trading systems is preferred. Alternatively, strong learning ability and transferable methodology from building similar complex systems are welcome. Strong drive and leadership. Excellent data analytical skills. Strong insight and judgment, and able to identify hot topics and market opportunities amid constant change. Sustained interest in and understanding of event contracts underlying such as crypto, macro events, sports, and politics. Ability to systematically produce AI tools to improve personal work output and efficiency (AI leverage) — e.g. using AI to support data analysis, documentation, and code/query writing in day-to-day work. Experience investing or trading in equities, FX, crypto spot/derivatives, or quantitative trading is preferred. Nice-To-Haves Experience in options product design or trading, or hands-on trading/research/industry experience with similar event contracts platforms is a plus. Experience designing Market Maker strategies or liquidity incentive mechanisms is a plus. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Event Contracts are one of the fastest-growing financial innovation categories globally over the past two years, showing significant potential across crypto, politics, sports, and macro events. We are building our own Event Contract product line from the ground up. We are looking for a Senior Product Manager who understands both financial products design, trading systems and market microstructure to take the business line to the next growth phase. What You’ll Be Doing Own the full lifecycle of this business line — from mechanism design and liquidity build-out to user growth and experience optimization — driving the end-to-end planning and execution of the Event Contract product line. Product Mechanism Design : Own the overall design of Event Contract products, including but not limited to product specs for Up-Down, Between (range), and Hit; strike price generation logic; settlement mechanism design; and the specs of contracts on crypto, equities, and other underlyings. Market Depth & Liquidity Framework : Design and drive the Market Maker incentive and obligation framework (spread, depth, uptime, and other obligation metrics); continuously monitor order book quality (spread / depth / uptime) to keep the product competitive on key liquidity metrics. Business Growth : Own user experience, user growth, and business scaling for this category — including defining and executing user growth campaigns, acquisition/retention/activation strategies, and coordinating channel and operations resources; accountable for core business metrics such as trading volume and user count. Competitive Research, Data-Driven Decisions & Cross-Team Collaboration : Continuously track the product mechanisms, fee structures, volume composition, and growth strategies of leading domestic and international competitors, translating industry best practices into product iteration plans for our platform; conduct in-depth analysis of internal trading data to produce actionable product and growth recommendations; work closely with Trading Engine, Frontend, Risk/Settlement, Liquidity/Market Making, and Operations teams to drive execution and iteration. New Business Exploration : Explore opportunities to combine event contracts with other product formats (e.g., structured products, social/community mechanics, copy trading, broker distribution partnerships) to open up new growth curves for the platform. What We Look For In You Experience building complex backend systems from 0 to 1 (e.g. trading systems, ad systems, e-commerce systems, or payment systems). Candidates with internet product growth experience, having led acquisition/retention/activation campaigns and owned business outcomes and metrics, have a strong advantage. Exceptional learning ability, logical reasoning, and quantitative skills. Strong ability to abstract and translate real-world business scenarios into elegant data structures and business logic. Deep understanding of financial derivatives principles, and experience owning the 0-to-1 design or large-scale overhaul of futures/options trading systems is preferred. Alternatively, strong learning ability and transferable methodology from building similar complex systems are welcome. Strong drive and leadership. Excellent data analytical skills. Strong insight and judgment, and able to identify hot topics and market opportunities amid constant change. Sustained interest in and understanding of event contracts underlying such as crypto, macro events, sports, and politics. Ability to systematically produce AI tools to improve personal work output and efficiency (AI leverage) — e.g. using AI to support data analysis, documentation, and code/query writing in day-to-day work. Experience investing or trading in equities, FX, crypto spot/derivatives, or quantitative trading is preferred. Nice-To-Haves Experience in options product design or trading, or hands-on trading/research/industry experience with similar event contracts platforms is a plus. Experience designing Market Maker strategies or liquidity incentive mechanisms is a plus. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Limassol, Cyprus FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Senior AQA Engineer (Fullstack) in the Cyprus office - a certified Great Place to Work®. We are developing a social trading platform and are looking for a strong automation engineer who will build end-to-end test coverage across all product layers, with a primary focus on native mobile applications (iOS / Android) and web. This is a role with real autonomy — you will not be "just another QA in the team," but the person who defines quality standards and gradually builds a process where code physically cannot be pushed to production without passing tests. Currently, there are no automated tests for the mobile applications at all — you will be responsible for building automation from scratch and establishing the surrounding processes. Reporting to: QA Lead Responsibilities: Design and develop a mobile automation framework from scratch for native iOS and Android applications Develop and maintain the backend automation framework (API testing) Cover critical social trading user scenarios: trade copying, deposits/withdrawals, trading account operations Extend test coverage at the web and API levels Integrate tests into CI/CD: execution on every commit, pipelines, reporting Establish pre-commit quality gates using Git hooks (husky / pre-commit) — mandatory test execution before code reaches the repository Execute tests on real devices, emulators/simulators, and cloud device farms Drive automation culture: introduce stabilization/automation iterations to prevent coverage degradation over time Candidate profile: Mobile Experience building mobile automation frameworks from scratch for iOS and Android Native drivers: XCUITest (iOS) and Espresso / UiAutomator2 (Android) Appium 2.x/3.x as a cross-platform tool for native / hybrid / mobile web Strong hands-on experience with Android Studio (ADB, emulators) and Xcode / Simulator Experience running tests on real devices and cloud farms (BrowserStack) Understanding of mobile app architecture, locator strategies, gestures, and testing under different network conditions Understanding that mobile tests are more logically maintained within the application repository rather than as a separate project in another language Languages and Frameworks Strong Java skills (modern versions); solid understanding of OOP Kotlin and Swift knowledge is a plus Test runners and assertions: JUnit 5, test data generation with Instancio / JavaFaker Web / API UI automation with Playwright (Java), Page Object Model, stable locators API automation: REST Assured, REST API and authorization handling Understanding of flaky tests and retry strategies Data Handling Databases: MariaDB / MySQL, state validation via SQL / JDBC Test data setup and cleanup CI/CD and Processes Build management with Gradle, custom tasks for different test suites CI/CD: GitLab CI / Jenkins, integrating automated tests into pipelines Git hooks / husky / pre-commit as a quality gate Reporting: Allure Test management: Jira Nice to Have Experience in fintech / trading / payment products Experience using AI tools in testing (Copilot, AI assistants for test generation/analysis) Experience with Testcontainers Familiarity with App Store / Google Play guidelines Our offer: A certified Great Place to Work®  reflecting our commitment to a positive culture, employee well-being, and support Welcoming, young and multicultural team with approachable leadership Ability to contribute to dynamic business at a growth phase High level of autonomy, support of ideas and putting your expertise into the best practices for the company Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders Competitive remuneration, regular salary reviews and performance-based incentive schemes Vibrant company life: from team activities to global celebrations New beautiful office in an easily accessible location with company-provided fruits, breakfasts and lunches Free access to multiple sports and wellness facilities across the country Free company-provided parking Medical insurance and pension fund after probation period A gift and a day off on your Birthday Visa and work permit support if required Journey to FP Markets: Interview with HR (30 - 45 min) Technical interview with your future manager (1 - 1.5h) Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!

Location: Netherlands; Romania; Bulgaria; Canada; Serbia; Germany; United States; Spain; Hungary; United Kingdom; Portugal; Moldova; Poland Workplace: Remote ABOUT THE COMPANY Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. ROLE OVERVIEW We're looking for a Senior AI Product Engineer to build the AI operating layer behind our marketplace. You take a valuable but unclear business problem — improve lead quality, cut refunds, automate a manual workflow, extract intelligence from calls — and turn it into a dependable production system end-to-end: investigate, define success, design, build, deploy, and improve on real usage data. You are a one-person AI product team for high-leverage problems, not a spec-taker. We are expanding beyond real estate into new service-business niches, and growth is powered by reusable software and automation — not proportional growth in manual work. Every system you ship either compounds into that leverage or exposes where it leaks — no in-between. WHY THIS ROLE EXISTS Our growth is not limited by ideas or data — we already run 40K+ members, 750+ verified daily leads, and 50B data points powering AI. It's limited by how fast we can turn ambiguous, high-value problems into shipped AI systems that actually move business metrics. We need a builder who owns the complete production outcome — not a prompt tinkerer, not a researcher, not a PM who delegates the build. REQUIREMENTS: - Strong record of building and shipping production software end-to-end, ideally in a SaaS, marketplace, or workflow product — with real users and real revenue on the line. - Strong Python and/or TypeScript, plus solid backend fundamentals: APIs, databases, auth, data models, testing, and deployment. - Hands-on experience shipping LLM-powered functionality using model APIs, structured outputs, tool/function calling, retrieval, context engineering, and agentic workflows. - Production automation experience: webhooks, events, queues, schedules, retries, idempotency, monitoring, and failure recovery — not just happy-path demos. - Practical evaluation skills: test sets, traces, quality metrics, regression checks, feedback loops, and root-causing real production failures. - Daily fluency with AI coding agents (Claude Code, Codex, Cursor, or equivalent) — you review, test, refactor, and secure generated work, not ship it raw. - English C1+; our stakeholders, users, and business owners are US-based, and communication must be sharp and clear. - AI-first by default — if you are not already using AI to 3x your own output, you will be behind the rest of engineering. - Product ownership and strong judgment in ambiguous, fast-moving environments — you clarify goals, make tradeoffs, and connect every technical decision to a business KPI. WHAT YOU'LL BE DOING: - Discover high-value product and operational problems by working directly with users, business owners, and internal teams, then frame clear success criteria before writing code. - Design and ship customer-facing AI features and internal automations across lead quality, matching, prediction, call intelligence, CRM, support, and operations. - Build agents and workflows that safely use tools, APIs, databases, calls, SMS, email, and other company systems — with human approval where risk requires it. - Create the context layer around models: instructions, retrieval, memory, structured outputs, tool definitions, permissions, and feedback loops. - Build reliable event-driven and scheduled automation using webhooks, queues, schedulers, retries, idempotency, audit logs, and graceful fallbacks. - Create evaluation datasets and automated checks that measure usefulness, accuracy, failure modes, regressions, latency, and cost — before and after release. - Investigate real production failures and improve the complete system, not just the prompt or the model response. - Turn successful solutions into reusable components and patterns that support additional iSpeedToLead niches without rebuilding from zero. - Own architecture, quality, security, and business outcomes — not just the pull request. THIS IS NOT FOR YOU IF - You want a prompt-only role or a research position focused on training foundation models. - You do no-code-only automation and can't own real production code. - You call yourself a product manager who delegates the build. - You ship unreviewed "vibe coding" and call it done. - You need a complete spec before you can start. - You optimize for demo quality instead of measurable business impact. WHAT WE EXPECT FROM YOU (FIRST 3 MONTHS) We don't do long onboarding: access on day one, context in days, first shipped improvement in the first 30. - Days 1–30 — Understand and ship: you have learned the product, data, and workflows, identified the best first problem with evidence, and released one useful, low-risk improvement in production. - Days 31–60 — Own the workflow: you have launched one meaningful AI product or automation with evaluation, monitoring, clear ownership, and a human fallback — running against real marketplace volume. - Days 61–90 (the bar) — Prove and repeat: the system shows measurable business impact (fewer manual hours, faster verification, lower refunds, better matching, higher conversion, or shorter time from idea to production), reliability is proven, and the solution is turned into a reusable pattern for future workflows or niches. NICE TO HAVE: - Voice AI, call transcription, telephony, SMS, email, CRM, or customer-support automation experience. - Lead generation, marketplaces, real estate, sales technology, or marketing automation background. - Ranking, scoring, prediction, experimentation, or data pipeline experience. - Cloud deployment, Docker, CI/CD, observability, security, and handling sensitive customer data. - MCP, vector search, LangGraph or equivalent orchestration, Temporal, n8n, or custom workflow engines. - Track record taking a product or automation from zero to one in a fast-moving startup. WHAT WE OFFER: - Impact: Own visible, high-value problems with direct access to decision-makers, users, and production feedback at the core of a product-led, AI-powered marketplace. - Autonomy: High ownership, low bureaucracy, and real authority to choose tools based on results and define the reusable AI architecture for multiple future niches. - Flexibility: Remote-first culture with flexible hours and async-friendly communication. 4+ hour overlap with Asia/Dubai required for weekly reviews. - Compensation: Competitive fixed base salary above the market average. - Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff. - Time Off: 15 paid vacation days plus 5 paid sick days annually. - Growth: Unlimited learning policy — paid courses, books, and growth resources. - AI-Heavy Environment: AI is deeply embedded across prospecting, research, engineering, and workflows. - Ownership: Real decision-making power and direct ownership of your outcomes. Location: Remote, 4+ hour overlap with Asia/Dubai

Location: Montreal Workplace: remote ABOUT YOU  We are looking for a Site Reliability Engineer (Monetization) who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness. Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role. This is a hybrid embedded role: you remain part of the SRE organization (practices, standards, duty rotation) while being functionally embedded into the Monetization product domain. You'll build long-term working relationships with the domain's engineering teams, own a meaningful share of their application infrastructure execution, and co-author the reliability practices used company-wide. If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own the application-level infrastructure of the Monetization domain: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems Participate in the SRE duty rotation, supporting developers across the company Qualifications & Skills 3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP) Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes) Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams GCP experience (IAM, networking, managed services) Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions) Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash) Practical experience with incident response, post-mortems, and driving reliability improvements from incidents Strong collaboration and communication skills — this role works embedded with product development teams daily Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems Nice to Have: Kubernetes certifications Google Cloud Platform certifications HashiCorp certifications Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Site Reliability Engineer (Monetization) position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Handling infrastructure that processes sensitive financial transactions Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. Salary varies depending on experience level and location.

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we're scaling fast and we're looking for an Analytics Team Lead to make the quality of our identity technology visible, measurable, and relentlessly data-driven. The Impact You'll Make This role sits on the Document Intelligence team — the group behind Incode's industry-leading document processing. Our technology parses identity documents from around the world — passports, visas, driver's licenses, proof of address, and more — for some of the biggest enterprises on the market. Machine learning is the core of the product, and Analytics is what makes its quality visible and its roadmap data-driven. We're looking for a Senior Lead of Data Analytics who is, first and foremost, a sharp hands-on analyst — and who has the leadership experience to grow a small, high-impact team around them. Today the team is three people; you'll be the fourth, owning it end-to-end. This is a true player-coach role: you'll manage and mentor the team while personally writing the pipelines, queries, and analyses. Our analytics is partially built — some data pipelines and testing procedures are already in place, but metric coverage and visibility are far from complete. Your mission is to close that gap. What You'll Own & Drive Lead & Grow the Team — Run the analytics team as a formal manager: own the roadmap, hold 1:1s and performance reviews, develop your analysts, and participate in hiring as the team scales. Stay Hands-On — This role involves a lot of personal execution. You'll write SQL and Python pipelines for data collection, processing, and labeling — and do the analysis yourself. Expand the Metric Tree — Build out the end-to-end metric tree that measures product quality across the document-processing pipeline, closing coverage gaps where the product is currently blind. Build Visibility — Create reporting and dashboards that surface weak points and turn raw signals into clear insights for ML, product, and leadership. Own ML Quality Evaluation — Drive data preparation for ML, model quality assessment, and benchmarking, in tight collaboration with the ML team. Drive Experimentation — Design, run, and interpret A/B tests across mobile and server side, with genuine statistical rigor. Guard Data & Labeling Quality — Monitor accuracy and consistency, and build the controls that keep them high. Bridge to Engineering — When events or data are missing, pinpoint exactly what's needed and where it should come from, write clear and actionable tasks for the backend and data teams, and justify their prioritization in business terms. Systematize — Turn one-off analyses into repeatable, owned pipelines and reporting cadences. Your Background Team leadership experience , paired with a genuine appetite to stay hands-on — you lead and you build. Strong Python , with a bias toward clean, maintainable, well-structured code. Strong SQL and solid experience with columnar / analytical databases. Strong statistics and experimental design — you can design tests (A/B and beyond), reason about significance and power, and interpret results correctly. Modern data tooling — experience with workflow orchestration, data transformation, cloud storage, and experiment-tracking. Our stack is Python, S3, Redshift, ClearML, Airflow, and dbt; equivalent tools are perfectly fine — what matters is that you've worked with this kind of stack. Excellent communication — you can translate a data gap into a prioritized, business-justified requirement, talk to engineers and stakeholders in their own language, and make the case for what gets built. High ownership, autonomy, and pragmatism — comfortable prioritizing impact over perfection in an evolving environment. Bonus points for: Experience with ML-centered products — evaluating model quality and working alongside ML teams. You won't be expected to train production models; at most simple models for data filtering, plus the ability to run existing ones. Familiarity with data labeling processes and quality estimation/maintenance. Domain exposure to identity documents, OCR, or computer-vision pipelines. The Qualities That Set You Apart A player-coach at heart — you draw energy from both growing people and doing the work yourself. Craftsmanship in how you build — clean code, sound pipelines, and analyses others can trust and reuse. Intellectual honesty and statistical rigor — you follow the data where it leads and know when a result is real. A translator's instinct — you turn ambiguous signals into clear insight and make the business case for what to build next. Pragmatism and high ownership — you thrive in an evolving environment and push for impact over perfection. Why Incode? Mission with Meaning — Shape how billions of people prove identity — safely, simply, and ethically. Rocket-Ship Growth — Join at a defining moment where your work compounds in global impact. Elite Team & Technology — Collaborate with top-tier engineers, researchers, and scientists at the forefront of AI. Ownership & Autonomy — Operate with the freedom to test, build, and ship your ideas end-to-end. Global Impact — Your work will shape secure, frictionless identity verification experiences across continents. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for engineers to join the team building Spark, a lightweight implementation of Supabase written in Rust. It runs on an embedded SQLite-based engine with a Postgres-compatible SQL layer, and ships a PostgREST and Auth compatible API, so applications written against @supabase/supabase-js work as-is. It exists because AI builders and platform partners need a database they can give to every prototype without the cost or the wait: sub-second provisioning, a footprint small enough to run inside a sandbox, and an upgrade path to full Supabase when an app graduates to production. This is a role with a lot of agency. Small team, working product, patterns still to be set. You'll own large areas end to end and make real decisions from day one. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Grow API compatibility with the Supabase client, keeping behavior faithful to hosted Supabase and backed by conformance tests - Bring more of the Supabase stack to Turso/SQLite - Find and work around gaps in the underlying database engine, with minimal repros and tests - Build and harden the path for upgrading a project from Spark to full Supabase - Own the developer experience end to end: the CLI, local tooling, and docs - Build and harden the hosted offering while keeping the low cost structure in mind, kept loosely coupled so the implementation can be swapped without a rewrite - Work directly with design partners and turn real-world migration and integration friction into a sharper product - Engage with the open-source community and contribute back to the broader Supabase stack YOU MIGHT BE A GOOD FIT IF YOU - Have substantial backend or full-stack experience with strong fluency in Rust, have shipped production Rust, and have built or contributed to a backend system, framework, or developer platform before - Are a strong generalist, comfortable moving across the stack from API design to storage internals to infrastructure, and picking up whatever the problem needs - Read unfamiliar code without friction. A lot of the work means studying reference implementations in other languages, such as GoTrue in Go, PostgREST in Haskell, and matching their behavior in Rust - Have a solid grounding in SQL and relational databases, experience working close to a database engine (transactions, MVCC, type systems), and the curiosity to dig into where Postgres and SQLite differ - Know Postgres well enough to use it as the reference for correct behavior - Have run services under tight resource limits (multi-tenant, serverless, or embedded) - Have a bias toward compatibility and correctness, and reach for tests and specs to prove behavior - Think around corners. When everyone reaches for the standard playbook, you look for the simpler path that fits a smaller box. You break a complex system down to the 20% that covers 80% of the need, then make it run somewhere far smaller than it was designed for - Care about developer experience: clean APIs, fast feedback loops, and tooling that makes the right thing the easy thing - Are comfortable owning ambiguous, early-stage work and making sound calls that inform and define the spec. This is a founding role on a brand-new team - Are comfortable working in public repositories on a remote, async team - Communicate clearly in writing - Bonus: experience with the Supabase stack, building developer CLIs, a track record of open-source maintenance, or contributions to Rust database or web projects WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Задачи: ▫️ Развивать и оптимизировать core-ядро приложения: транзакции, балансы, историю операций, механизмы swap/bridge и on-ramp шлюзы; ▫️ Лидировать запуск новых продуктовых направлений: интеграцию криптокарт, IBAN-платежи, подписки и онбординг внешних провайдеров; ▫️ Отвечать за фичи end-to-end: от проектирования архитектуры до релиза, написания тестов и мониторинга стабильности на проде; ▫️ Тесно взаимодействовать в связке с Product, Design, QA и Backend-инженерами; ▫️ Участвовать в командных дежурствах (on-call) для обеспечения аптайма (примерно 1 неделя в месяц). Требования: ▫️ От 5 лет коммерческого опыта во фронтенде, из них от 3 лет — React Native на продакшен-проектах (в идеале в Fintech или Crypto); ▫️ Реальный опыт работы с ончейн-транзакциями, несколькими блокчейн-сетями одновременно и реальными деньгами пользователей; ▫️ Глубокие, экспертные знания React, React Native, TypeScript, а также строгая дисциплина покрытия кода тестами (Jest, Detox); ▫️ Понимание принципов безопасности мобильных приложений и криптографических операций; ▫️ AI-forward mindset: ты активно, осознанно и эффективно используешь ИИ-инструменты в ежедневной работе для ускорения рутины; ▫️ Свободный русский язык для внутренних коммуникаций и английский от уровня B2+. ▫️ Опыт работы конкретно с некастодиальными кошельками будет твоим огромным преимуществом! Условия: ▫️ 100% удаленка из любой точки мира в международной Agile-команде; ▫️ Сильная инженерная свобода: ты реально влияешь на архитектурные решения и выбор технологий; ▫️ Быстрый профессиональный рост в одном из самых трендовых и высокооплачиваемых направлений разработки; ▫️ Конкурентная заработная плата, которая обсуждается индивидуально под твои пожелания; ▫️ Прозрачный фидбек, культура открытого диалога и минимум согласований. Этапы найма: 1. Скрининг резюме 2. HR-интервью 3. Техническое интервью 4. Финал с CTO 5. Оффер!