Вакансии

Проект: Мы разрабатываем систему, автоматизирующую весь жизненный цикл инвестиционной сделки. Наша инвестиционная платформа — уникальное решение на российском рынке для выдачи и сопровождения инвестиционного финансирования юридическим лицам. Современный стек и архитектура: - Микросервисная архитектура: Kubernetes, Docker, Istio, Kafka - Микрофронтовая архитектура: модульные фронтенд-модули - Интеллектуальные агенты: AI-банкир, AI-методолог - Производственные агенты: разработчик, тестировщик, ревьювер - Системы автоматизации: CI/CD, логистика, мониторинг Требования: - Глубокое знание JavaScript/TypeScript, React, Redux - Знание парадигм программирования, CSS, HTML - Опыт разработки микрофронтов - Fullstack-опыт: backend (микросервисы) + frontend - Опыт работы с автоматизациями и системами CI/CD - Агентный режим разработки: работа с LLM (LangChain, LangFuse, OpenCode, Codex, Claude, инференсы) - Опыт опенсорс-контрибуции и патчинга внешних библиотек - Умение проектировать и внедрять исследовательские гипотезы в продакшн Задачи: - Разработка и внедрение AI-агентов (AI-банкир, AI-методолог) - Разработка производственных агентов (разработчик, тестировщик, ревьювер) - Разработка и внедрение систем автоматизации производственного процесса - Исследования и выдвижение гипотез, проверка их в пилотных проектах - Интеграция решений в инвестиционный ландшафт Сбера - Реализация ключевых frontend-решений с учетом микрофронтовой архитектуры - Проведение code review и техническое проектирование - Наставничество и передача знаний команде Условия: - Возможность участия в интересном проекте - Возможность профессионального и карьерного роста в компании - Опыт работы в команде профессионалов - Уровень заработной платы обсуждается индивидуально - Формат работы - удаленно на территории РФ

Location: Poland; Uruguay; Argentina; Armenia; Romania Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We're on the lookout for a Mobile Test Automation Engineer to join our team working on a social news aggregation platform. WHAT YOU’LL DO - Design, maintain, and execute automated and manual tests for iOS and Android mobile applications. - Build and maintain mobile automation suites using XCUITest and Espresso. - Perform hands-on functional, regression, integration, exploratory, usability, and end-to-end testing on real devices and emulators. - Diagnose failures, investigate defects, and partner with engineering teams to identify root causes. - Develop test plans, test cases, test procedures, and release-quality reports. - Integrate automated tests into CI/CD pipelines and monitor test and infrastructure stability. - Collaborate with developers, product managers, and partner engineering teams throughout the Agile development lifecycle. - Identify cross-platform impact areas and provide risk-based test coverage for new features and experiments. - Help drive quality practices across unit, integration, and end-to-end testing. - Estimate testing effort and work independently in a fast-paced environment. REQUIRED SKILLS & EXPERIENCE - 4+ years of experience building or maintaining automation frameworks for mobile applications. - Advanced hands-on experience with XCUITest and Espresso — framework development, maintenance, debugging, and CI execution. - Strong experience testing iOS and Android mobile applications, preferably social media or high-scale consumer apps. - Experience building scalable mobile automation frameworks and integrating them into CI/CD pipelines. - Strong knowledge of mobile QA methodologies, SDLC, test strategy, and test documentation. - Strong understanding of mobile platforms, device fragmentation, networking, permissions, notifications, deep links, and app lifecycle behavior. - Ability to independently create test plans and coverage strategies from product requirements. - Strong exploratory testing and risk-assessment skills. - Experience working in Agile/Scrum environments with frequent or weekly production releases. - Experience using tools such as Jira, Confluence, and common test-management systems. - Strong written and verbal communication skills. PREFERRED QUALIFICATIONS - Experience testing social, community, messaging, or user-generated content platforms at scale. - Experience testing across iOS, Android, web, and mobile web. - Experience with API testing and backend validation. - Experience testing experiments, feature flags, personalisation, feeds, notifications, and user-generated content. - Experience supporting frequent or weekly production release cycles. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Russia; Perm; Moscow Workplace: remote 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. THE ROLE We are hiring a Team Lead, Web3 to lead a cross-functional team of frontend, backend, smart contract and QA engineers in XsollaZK, Xsolla's Web3 ecosystem on a zkSync-based L2. Your team builds: smart wallets built on account abstraction; SDKs that game studios and partners use to bring players on-chain; infrastructure backend services for tokenizing in-game items and currencies; ecosystem dApps: a DEX, an NFT marketplace and an auction. This is a management role. Most of your time goes to people and delivery: building the team, growing engineers, and making delivery predictable. The rest goes to technical leadership: architecture, reviews and hands-on code where it matters. Responsibilities WHAT YOU WILL OWN The team: hiring, onboarding, growth and performance of frontend, backend, smart contract and QA engineers Delivery: predictable commitments, a sustainable pace and the quality of what the team ships How the team works: processes, engineering standards and an AI-assisted workflow Relationships with Product, DevOps and other Xsolla product teams: priorities, dependencies and expectations The technical direction of the team's product area: on-chain / off-chain architecture and key technical decisions, justified in writing Security and reliability of what the team ships: signing flows, contracts that hold user assets, production operation and the team's on-call rotation WHAT YOU WILL DO People Set clear goals and expectations for each engineer Run regular 1:1s, performance reviews and career development conversations; give direct feedback and address underperformance Hire engineers across disciplines: define roles, run interviews and onboard new people Grow engineers through mentoring and build the team's next leaders Build a culture of technical excellence, collaboration and continuous learning Delivery Work with Product to shape requirements, estimate and plan work Manage scope, workload, risks and dependencies so the team delivers on its commitments Report progress, risks and blockers to stakeholders Lead the team through production incidents and post-mortems Continuously improve development processes and team efficiency Technical leadership Review architecture and critical code across backend, frontend and smart contracts, with a focus on edge cases specific to Xsolla products: smart wallets, tokenization of in-game items and currencies, marketplace and auction flows Lead key decisions on smart wallet integration (UserOperations, paymaster and gas sponsorship), session keys and the signing flow Identify systemic risks (key management, signature phishing, bundler and RPC dependencies) and make sure they are addressed before they become incidents Contribute hands-on to critical features when needed Set up AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) and drive its adoption across the team REQUIRED Management experience 5+ years of engineering management experience Managing cross-functional teams that combine several disciplines (for example frontend, backend, smart contracts and QA) Teams you led shipped dApps to production and maintained them People leadership Hiring and building teams: defining roles, running interviews, onboarding Performance management: setting goals, giving feedback, running performance reviews, handling underperformance Growing engineers: career plans, mentoring Delivery and stakeholders Delivery planning: estimation, sprint planning, managing scope, risks and dependencies Working with Product and other teams on priorities and trade-offs; explaining technical trade-offs to non-technical stakeholders Leading a team through production incidents and post-mortems Balancing management with hands-on technical work Technical depth A strong technical background: hands-on engineering experience across the Web3 stack, deep enough to lead technical decisions and review work on each layer: Web3 libraries and wallets: viem and wagmi in production; how wallet signers work (EOAs, browser and embedded wallets, smart accounts, EIP-191, EIP-712, EIP-1193); smart wallets (UserOperations, paymasters, ERC-1271) Backend: Go and TypeScript (Node.js); processing on-chain events (idempotency, reorgs, retries); asynchronous messaging (Kafka, RabbitMQ or NATS ); PostgreSQL and Redis; REST and gRPC API design Frontend: React and TypeScript; web security fundamentals ( XSS , CSRF , CSP , safe handling of signatures and keys in the browser) Smart contracts: reading Solidity and the EVM (storage, gas, proxy upgrade patterns, access control); common vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) Operations: Docker, Kubernetes, CI/CD; observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to Have ZK Stack and zk -rollups: EraVM vs EVM , system contracts (ContractDeployer, NonceHolder), L1↔L2 messaging, bridging and finality Smart contract development in Solidity with Foundry Deeper account abstraction: ERC-4337 EntryPoint versions and validation rules (ERC-7562, ERC-6492), modular accounts (ERC-7579 / ERC-6900), session keys and delegated permissions (ERC-7710 / ERC-7715), EIP-7702 Hands-on experience with wallet and AA infrastructure technologies (Sequence, thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, ZeroDev, Safe{Core}), with clear views on build versus buy Key management: HSM , MPC / threshold signing, social or guardian-based recovery DeFi ( DEX , AMM ) and NFT marketplaces (ERC-721, ERC-1155, auctions) go-ethereum and abigen Managing distributed or remote teams Gaming or fintech experience with high-load systems HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built on the Technical depth part of the Required section and the technical items in What you will own . People and delivery. Built on the Management experience , People leadership and Delivery and stakeholders parts of Required : real situations from your experience with hiring, performance, delivery and incidents. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. 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. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Fanatics Betting & Gaming (FBG) is building the industry’s most trusted, scalable, and fan-centric sportsbook experience. Our Internal Platforms team powers the systems that enable customer operations, marketing, support, and data-driven decision making—centered around Salesforce and deeply integrated backend services. We are seeking a Senior Salesforce Engineer to develop, and maintain scalable Salesforce solutions that support critical internal workflows and customer-facing operations. This is a hands-on engineering role requiring strong Salesforce development expertise, comfort working across integrations and distributed systems, and a passion for building high-quality internal platforms. You will work closely with Marketing, Operations, Product, Data Engineering, and Backend Engineering teams to deliver robust Salesforce capabilities that integrate with third-party systems and internal APIs. Responsibilities Salesforce Engineering & Platform Development Build, and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), Flows, and declarative features . Participate in the end-to-end implementation of Salesforce enhancements, from requirements gathering through deployment and support. Apply scalable and maintainable patterns for triggers, flows, automation, and custom components. Write high-quality, testable code with appropriate unit test coverage and participate in code reviews. Integrations & Distributed Systems Develop and maintain integrations between Salesforce and external/internal systems using REST/SOAP APIs, middleware, and event-driven patterns. Partner with backend engineers to design clean integration contracts between Salesforce and Java-based services. Troubleshoot and resolve complex integration and data flow issues across systems. Collaboration & Stakeholder Partnership Collaborate with Product Managers, Business Analysts, and cross-functional partners to translate business requirements into technical solutions. Partner with Marketing, VIP, Operations Support, Risk, and Data teams to ensure Salesforce solutions meet business and regulatory needs. Clearly communicate technical decisions, trade-offs, and implementation details to both technical and non-technical stakeholders. Data Management & Platform Quality Support data migrations, imports/exports, and ongoing data quality initiatives. Ensure strong data integrity, security, access control, and performance across the Salesforce ecosystem. Contribute to platform reliability, availability, and operational excellence. Documentation & Best Practices Create and maintain technical documentation for Salesforce customizations, configurations, and integrations. Follow and help evolve engineering best practices related to Salesforce DX, Git workflows, CI/CD pipelines, testing, and deployment strategies . Continuously identify opportunities to reduce technical debt and improve platform scalability. Experience and Skills Required 3-5 years of hands-on Salesforce engineering experience , with strong proficiency in Apex, Lightning Web Components, and Salesforce automation. Strong experience with Salesforce configuration, including custom objects, flows, validation rules, and security model design . Experience building and maintaining API-based integrations between Salesforce and third-party or internal systems. Working knowledge of Salesforce DX, Git, and CI/CD pipelines . Ability to work independently on complex projects while collaborating effectively within a team. Strong problem-solving skills and attention to detail. Preferred Salesforce Platform Developer I or II certification. Additional Salesforce certifications (Administrator, App Builder, Architect). Experience with: Data migrations and large-scale data operations Event-driven architectures and distributed systems Highly available, production-critical platforms Experience working closely with cross-functional teams such as Marketing, Product, Operations, and Data. Experience working with AI model or agent platforms, including building on or integrating agents into production workflows. Familiarity with platforms such as Anthropic, OpenAI, Amazon Bedrock, LangChain, Google Vertex AI, Microsoft Copilot Studio, CrewAI, or AutoGen is a plus. Familiarity using AI-powered coding assistants to design, build, and test new functionality from the ground up, with the ability to move quickly while maintaining high code quality and test coverage. Interest in leveraging emerging tools and workflows to improve developer productivity and platform throughput. What We Value Passion for building high-quality internal platforms that directly impact business outcomes. Strong ownership mindset and commitment to engineering excellence. Collaborative approach and desire to continuously learn and improve. Comfort operating in a fast-paced, evolving environment. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $128,000 — $160,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Задачи: — обработка Excel, PDF и сканов; — извлечение и нормализация данных; — сопоставление данных и поиск расхождений; — интеграция OCR и Document AI; — использование LLM для интерпретации данных; — разработка backend/API; — участие в архитектуре MVP; — работа с обезличенными финансовыми документами. Требования: — Python от 3 лет; — pandas, Excel/CSV; — парсинг PDF; — backend и REST API; — алгоритмы matching, нормализации и очистки данных; — Git; — умение самостоятельно проектировать решения. Будет плюсом: OCR, PyMuPDF, pdfplumber, Camelot, Tabula, fuzzy matching, Document AI, OpenAI/Azure OpenAI/YandexGPT, reconciliation, On-Premise.

Location: Russia; Moscow; Perm Workplace: remote About Xsolla 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. About the Role We are hiring a Staff Software Engineer to own the smart wallet and account abstraction layer of XsollaZK, Xsolla's Web3 platform on a zkSync-based L2. This is an individual contributor role with a large technical scope. You are the technical anchor for how millions of players get an on-chain account they never have to think about. The product. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account. The account is derived from their identity claim, is identical on every device, and its private keys never leave the client. It is not a separate wallet screen: it is the player's inventory. It backs: minting and gifting; trading on our Bazaar marketplace; Merkle-based reward airdrops; gas sponsorship; an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. Responsibilities The technical strategy and architecture of the smart wallet platform: account model, signing, session management and gas abstraction at scale The smart account and permissioning model, evolved to meet both product and compliance needs The security model where our signer meets third-party applications: what a player is actually approving, and proof that the UI shows it The custody and recovery roadmap, from today's interim mechanisms (including raw key export) to MPC -based custody Cross-team technical decisions on account architecture, SDK contracts, data modeling and platform reliability, with buy-in from the wallet, marketplace, SDK, mobile and security teams Engineering standards in the Web3 domain Production escalations in the wallet and account abstraction domain WHAT YOU WILL DO Design and evolve the ERC -4337 user operation lifecycle (prepare → sign → submit → confirm), EIP -7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives (including origin-bound Smart Sessions) that let players act without a prompt on every transaction Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable Define EIP -1193 / EIP -6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow Design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets Identify systemic risks (key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths) and lead initiatives that resolve them before they become incidents Write RFCs and design docs; review critical code, contracts and designs Work with product, security, legal and infra teams to align on the roadmap and turn business and regulatory needs into well-scoped technical plans Create leverage for the engineering org through documentation, tooling and mentorship Serve as the escalation point for complex production issues: a stuck user operation, a drained paymaster, a signing prompt a player didn't understand Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively REQUIRED Experience 8+ years of engineering in the Ethereum ecosystem working with crypto wallets and smart wallets Designing or operating a production smart wallet or account abstraction system serving real users and real value Shipping and operating systems where a bug meant lost funds. You can talk concretely about the guardrails, reviews and rollback paths you put in place Account abstraction and smart wallets ERC -4337 in depth: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules ( ERC -7562), gas estimation and its failure modes, counterfactual deployment, signature validation for undeployed accounts ( ERC -6492) EIP -7702 and the post-Pectra landscape: EOA delegation, its interaction with EntryPoint v0.8, and the risks it introduces (residual key authority, delegation phishing, storage collisions) Building on or extending production smart account implementations; modular account standards ( ERC -7579 / ERC -6900) Session keys and delegated permissions: scoped, time-limited, policy-bound authority; TTLs and contract allowlists, origin binding, permission revocation; ERC -7710 / ERC -7715 Signature schemes and wallet interfaces: EIP -712 typed data, ERC -1271 contract signatures, WebAuthn / passkey (P-256) signers; EIP -1193, EIP -6963, EIP -5792 batched calls, ERC -7677 paymaster interfaces Smart contracts and EVM Solidity and the EVM : reading, reviewing and writing account, paymaster and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors L2 specifics and their effect on wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, RPC and indexer semantics Backend Go: idiomatic code, concurrency patterns, performance profiling TypeScript and SDK design: client-side SDK surfaces that internal and external teams build on Distributed systems and their trade-offs (consistency, availability, failure modes); reconciling off-chain state against an authoritative on-chain result Data and infrastructure PostgreSQL: schema design, query optimization, migrations at scale Kubernetes: deploying, operating and debugging services Asynchronous messaging and event-driven design (Kafka or NATS ): consumer groups, at-least-once delivery Git, CI/CD Security Key management in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each Wallet threat modeling: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, paymaster griefing and DoS Leadership Leading multi-quarter technical initiatives across teams Influencing architecture and standards beyond your immediate team RFCs and design docs that stand on their own and are actionable without you in the room AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English English at C1 level Nice to Have Hands-on experience with ZK Stack and zk -rollups Hands-on experience with embedded and ecosystem wallet and AA infrastructure technologies (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}), with clear views on build versus buy MPC / threshold custody, social recovery or guardian-based recovery in a consumer product NFT and token infrastructure at scale: ERC -721 / ERC -1155 / ERC -20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security or identity projects, including authoring or reviewing ERC / EIP standards Compliance requirements for crypto consumer products: KYC / AML , geofencing, MiCA , SOC 2, ISO 27001, GDPR data minimization, audit logging Identity and auth integration for wallet derivation: OAuth 2.0 / OIDC , JWT verification, token scoping Platform or infrastructure engineering: building systems other engineers build on Owning a mobile wallet surface: React Native / Expo, WebView provider injection, native signing UI Gaming industry experience: platforms for game developers, publishers or players How We Work Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We work across time zones, so a design has to stand on its own. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. System design. You design part of a wallet or account abstraction platform end to end and walk us through the trade-offs. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. 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. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible)

Задачи: — Работа с legacy-кодом и его постепенный рефакторинг; — Переписывание и вынос логики в API; — Разработка и поддержка backend на PHP; — Разработка frontend на Angular; — Работа с микросервисной архитектурой; — Проектирование и поддержка REST API; — Интеграция сервисов через очереди (RabbitMQ); — Работа с базами данных (PostgreSQL / MySQL); — Использование Doctrine ORM; — Оптимизация производительности и рефакторинг; — Участие в код-ревью; — Использование AI-агентов/ассистентов в разработке; — Взаимодействие с командой (backend, frontend, QA, DevOps). Требования: — Опыт коммерческой разработки 2–4 года; — Уверенная работа с Git; — Опыт работы с Docker / docker compose; — Понимание CI/CD процессов; — Уверенное знание PHP 8.3+; — Опыт работы с Symfony или Laravel; — Уверенный опыт работы с Doctrine ORM; — Понимание ООП, SOLID; — Опыт построения REST API; — Опыт работы с Angular 19+, RxJS; — Уверенное знание TypeScript; — Понимание SPA архитектуры; — Уверенное знание SQL; — Опыт оптимизации запросов; — Понимание индексов и транзакций. Условия: — Официальное трудоустройство в аккредитованной IT-компании с первого дня; — Удаленная работа, полная занятость; — Зарплата по результатам собеседования и выполнения тестового задания.

Вакансия предполагает руководство кросс-функциональной IT-командой, включающей Backend, Frontend, Mobile, QA и аналитиков, с задачами по планированию спринтов, управлению backlog, определению приоритетов и объема работ. Необходимо контролировать сроки выполнения, загрузку команды, а также управлять рисками, блокерами и зависимостями. В обязанности входит координация работы разработки, Product Manager, бизнес-подразделений и смежных команд, организация релизов, ведение проектной документации и дорожной карты проекта. Требуется опыт работы с delivery-метриками, такими как Velocity, Capacity, Cycle Time, Lead Time, WIP и Predictability. Кандидат должен иметь не менее 5 лет опыта в роли IT Project или Delivery Manager, опыт управления командами из 10 и более человек или несколькими командами, а также опыт работы с web и мобильными продуктами. Важно понимание технологий Backend, Frontend, API, интеграций и процессов релизов, а также практический опыт применения Scrum, Kanban и LeSS. Необходимы навыки работы со Story Points и delivery-метриками, умение управлять рисками, изменениями, зависимостями и взаимодействовать со стейкхолдерами. Требуется свободное владение казахским и русским языками. Работа в офисе в Алматы, график 5/2.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid Capital.com builds and operates web and mobile trading platforms, public and partner APIs, and the backend services behind them, all in a highly regulated environment. As Application Security Architect, you will be the senior design authority for the security of these products. You will set the direction for how we secure software at scale: you will own secure-by-design patterns and standards, lead threat modelling and architecture reviews, and define the application security baseline that engineering teams build against. Working closely with the Product Security team and the Director of Product Security, you will guide AppSec processes and set the vision for your area without direct line management. You will treat security as a shared outcome rather than a gate, balancing strong protection with developer experience and delivery speed, and you will earn adoption through enablement rather than mandates. Responsibilities: Security Architecture & Standards: Define and maintain secure-by-default reference architectures for common patterns: web apps, mobile backends, microservices, public and partner APIs, and event-driven services Own core application security architecture decisions: authentication and authorisation, session management, API security, secrets management, multi-tenant isolation, and security logging and auditing Lead the redesign of user authentication and the delivery of security features into the product Develop and roll out application security standards, secure-coding guidelines, configuration standards, reusable design patterns, and architecture decision records (ADRs) that engineers can apply without a security expert in the room Define internal policies for the safe use of AI-assisted and vibe-coding tools Define security requirements for acquired technology and guide its secure integration Threat Modelling & Design Review: Establish and run a threat-modelling operating model, covering scope, cadence, templates, and facilitation, proportionate to each product's risk tier Own the security review stage of the new product approval process, covering architecture design and configuration Lead design reviews for high-impact initiatives: new products, new auth flows, payment and sensitive-data flows, platform migrations, and major refactors Identify design-level risks and agree practical, prioritised mitigations with engineering teams Secure SDLC, DevSecOps & Supply Chain: Assess the current state of application security, propose improvements, and drive the secure SDLC strategy with Engineering and Security leadership Oversee AppSec processes and own the tooling strategy (SAST, DAST, IAST, SCA, and secrets scanning), including how findings flow back to engineering Embed security controls as guardrails in CI/CD through policy-as-code, with agreed enforcement and escalation paths Partner with DevOps to organise repository management and prevent supply-chain attacks, covering safe component usage, dependency management, SBOMs, and build integrity Improve the security of our internal tools Requirements: Experience: 8+ years in technology, including 5+ years in a dedicated application or product security role, with a strong engineering background and hands-on architecture or design ownership Proven track record creating, documenting, and rolling out security standards, patterns, and best practices across a complex engineering organisation Deep, demonstrable threat-modelling experience across product portfolios Technical: Experience designing and implementing a secure SDLC in a cloud-native environment. Strong AWS knowledge is required, and exposure to GCP or other clouds is welcome Strong command of OWASP standards (Top 10, ASVS) and DevSecOps practice, including AppSec tooling (SAST, DAST, IAST, SCA, secrets scanning) and vulnerability management Deep understanding of modern distributed architectures: microservices, REST and GraphQL APIs, event-driven systems, OAuth2/OIDC, and containerised workloads (Docker, Kubernetes). You should be able to reason about their trust boundaries, attack surface, and data flows across web and mobile clients Collaboration: Exceptional ability to influence and align engineering teams without direct authority, and to brief both engineers and executives Pragmatism and strategic thinking: you balance the ideal with the achievable, protect delivery throughput, and turn long-term direction into an actionable plan Clear written communication through diagrams, ADRs, and patterns, plus a track record of mentoring and cross-functional collaboration Nice to have: Experience in fintech, trading, brokerage, or another regulated environment Awareness of relevant regulatory and compliance drivers: FCA and CySEC operational resilience, GDPR, and PCI DSS Software supply-chain security, including SBOMs and artifact and build integrity Experience securing AI-integrated product features, or using AI to scale an AppSec programme Experience building or running a Security Champions programme CSSLP, GIAC GDSA, or a hands-on offensive security certification. Certifications are valued but secondary to demonstrated experience What you'll get in return: You will join the company, that cares about work and life balance Annual Bonus based on the performance review cycle Generous Annual Leave Policy Medical Insurance and Pension fund, with additional benefit packages based on the location Hybrid working model (3 days from our modern office and 2 days fully remotely) Comprehensive Workation Policy with 30 more remote days available. Possibility of taking two additional days of paid leave per year to dedicate to volunteering efforts.

О компании OperAI — интерактивная система на базе ИИ для управления операционной деятельностью компании. Цель — создать «второй мозг для CEO», сделать процессы прозрачными и управляемыми, помочь руководителям видеть риски, договорённости и реальное состояние компании. Сейчас запускают пилоты с первыми командами и проверяют продуктовые гипотезы. Требования: — Опыт в продуктовой или data-аналитике от 3 лет — Опыт проектирования архитектуры данных и построения аналитической инфраструктуры с нуля — Умение создавать модели, схемы и пайплайны для сбора, обработки и хранения структурированных и неструктурированных данных, в том числе с AI — Практический опыт работы с неструктурированными данными: переписками, расшифровками встреч, документами и корпоративными коммуникациями — Опыт построения процессов разметки данных: разработка схем разметки, критериев качества и инструкций для разметчиков — Уверенное владение SQL и Python для анализа и обработки данных — Понимание ETL/ELT-процессов, требований к качеству данных и принципов Data Governance — Глубокое понимание принципов работы LLM, embeddings, RAG и AI-агентов — Умение проектировать метрики и системы оценки AI-функций: точность, полнота, галлюцинации и реальная польза для пользователя — Готовность брать на себя ответственность и строить аналитическую функцию продукта с нуля Задачи: — Проектировать систему внутренней аналитики — Проектировать структуру хранения данных: события, встречи, задачи, решения, коммуникации и связи между ними — Помогать формировать единую модель данных для AI-функций продукта — Оценивать качество работы LLM: точность извлечения фактов, полноту, галлюцинации и полезность результатов — Разрабатывать подходы к разметке данных и созданию датасетов для тестирования AI-системы — Участвовать в проектировании AI-пайплайнов, RAG, embeddings и систем поиска по корпоративным данным — Находить закономерности в операционных процессах клиентов и превращать их в продуктовые решения — Определять ключевые продуктовые метрики и строить дашборды для команды и фаундеров — Анализировать поведение пользователей, пилотные запуски и продуктовые гипотезы — Вместе с разработчиками улучшать качество, наблюдаемость и надёжность продукта Будет большим плюсом: — Опыт проектирования архитектуры AI- или ML-систем — Работа с LLM API, векторными базами, LangChain/LangGraph или аналогичными инструментами — Опыт построения систем мониторинга и оценки качества LLM — Понимание операционной деятельности компаний: задач, встреч, решений, ответственности, сроков и отчётности — Опыт работы с BI-инструментами и продуктовыми системами аналитики — Опыт в B2B SaaS, стартапах или продуктах для руководителей и команд — Опыт взаимодействия с data engineering, ML и backend-командами Условия: — Equity-модель компенсации на начальном этапе — опцион — Возможность с нуля построить аналитику AI-продукта — Высокое влияние на архитектуру, продуктовые решения и развитие компании — Прямая работа с фаундерами — Пилотные клиенты и реальные данные для проверки гипотез — Гибкий формат работы и быстрый цикл принятия решений — Возможность вырасти в Head of Data / AI Analytics по мере развития проекта

Задачи: — Участие в развитии и эксплуатации Developer Platform на базе Kubernetes: развертывание, масштабирование, оптимизация кластеров, включая настройку сетевых политик и безопасности с помощью Cilium; — Настройка и поддержка CI/CD-пайплайнов с использованием GitLab CI, автоматизация процессов сборки, тестирования и деплоя приложений; — Внедрение GitOps-подхода с использованием Flux CD для управления конфигурациями; — Работа с системами управления секретами (HashiCorp Vault) и обеспечение безопасности инфраструктуры; — Оптимизация инфраструктуры для проектов на Golang, Java, Node.js, включая поддержку микросервисных архитектур; — Настройка и управление кластерами Kafka/Redis/Nats/Postgres; — Настройка и поддержка Istio Service Mesh; — Настройка и поддержка инфраструктурных сервисов в k8s и на ВМ; — Интеграция c Observability-стеком для сбора метрик, логов и трейсов. Требования: — Опыт работы от 3 лет в DevOps; — Глубокое понимание Linux, Kubernetes и сетей (включая сетевые политики через Cilium), управление Helm-чартами, troubleshooting; — Опыт работы с CI/CD-инструментами; — Навыки работы с инфраструктурой как код (Ansible) и GitOps-подходом (Flux CD/Argo CD); — Опыт работы с системами управления секретами (HashiCorp Vault); — Навыки написания скриптов на Bash, Golang или Python; — Владение английским языком для чтения документации. Будет плюсом: — Опыт работы с базами данных (Postgres); — Опыт работы с брокерами сообщений (Kafka/Redis/Nats/RabbitMQ); — Опыт написания backend-приложений или k8s операторов на Golang.

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Paphos, Cyprus; Remote, Germany; Warsaw, Poland Founding Tech Lead (GrowthBricks) Are you a hands-on engineer who loves zero-to-one challenges? Do you want to build systems with real context and memory that do more than reason, use tools, and drive actual business outcomes? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. GrowthBricks is a new project at JetMinds, backed by JetBrains, designed to give GTM teams and AI agents a shared business brain. Business context usually gets fragmented across CRMs, documents, dashboards, and people's heads. GrowthBricks brings that context together so agents and people can make decisions and execute effectively across the sales, marketing, and product stack. About GrowthBricks GrowthBricks is a shared business brain for GTM teams and AI agents. It brings together the context that usually lives across CRM, docs, dashboards, tools, and people’s heads: who we sell to, why customers buy, what matters now, what we tried, and what worked. Agents and people use that context to decide what to do next and execute across the GTM stack. GrowthBricks is a new project at JetMinds, backed by JetBrains. About the role We’re looking for a hands-on Founding Tech Lead to build GrowthBricks from zero. You’ll work directly with the product founder and own the technical side of the product: architecture, core systems, integrations, and the agent layer. The core challenge is turning fragmented, changing business context into reliable memory and agent actions across tools and measuring whether those actions actually drive business outcomes. You’ll write a lot of the early code yourself, make the key technical decisions, and shape the product as we learn what works. What you’ll work on Design the core architecture: business context, agents, tools, integrations, and feedback loops. Build agentic workflows that can reason over company context and act across CRM, sales, marketing, and product systems. Build context extractors from GTM team artifacts like sales calls, emails, internal documents, CRM state, marketing campaigns, etc. Work on prompting, context management, memory, tool use, and orchestration. Connect GrowthBricks to the existing GTM stack rather than rebuilding everything around it. Decide where to use MCP, APIs, frameworks, or third-party tools and where a custom solution is worth it. Prototype fast, discard weak ideas, and turn the useful ones into product primitives. We expect that you Are a strong hands-on engineer who enjoys zero-to-one work. Have built with LLMs, agents, or agentic workflows used by real people, and improved them based on failures, evaluations, and user feedback. Understand how context, prompting, tools, and agent behavior fit together. Can design backend systems, APIs, data models, and integrations. Are comfortable making decisions before all the answers are known. Prefer simple, pragmatic solutions over unnecessary complexity. We’re especially interested if you Have worked in solution engineering, sales engineering, pre-sales, or built software for GTM teams. Understand the modern GTM stack: CRM, enrichment, outbound, automation, and product signals. Have automated sales or marketing workflows, ideally with agents or LLMs. Have owned a technical product from a blank repo to something people actually used. GTM experience is not mandatory, but if you already understand how sales and marketing teams work, that is a strong advantage. What we offer A competitive salary and strong benefits package. The runway and resources of an established company, with startup-level autonomy. A founding role with direct influence over both product and architecture. Real users and real workflows from day one. Freedom to choose the stack, tools, and technical approach. A chance to help define what an agent-native GTM product should look like. #LI-IM We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role / impact This senior engineering post sits right at the core of Practice Tools, balancing hands-on delivery with leading the team's adoption of artificial intelligence. You will own crucial infrastructure, CI/CD pipelines, monitoring, and alerting, ensuring reliable foundational systems that wider product teams depend upon. Beyond core engineering, you will spearhead the transition toward an agentic software development lifecycle. By building on existing prototype agents, experimenting with AI-assisted workflows, and mentoring team members, you will shape how software is built while establishing a clear trajectory towards future technical leadership. The team / how they connect You will join a collaborative, close-knit group of engineers based across New Zealand who manage staff permissions, practice provisioning, and system deletion. The team operates with high autonomy, working closely together to deliver foundational capabilities that power the broader Practice Tools ecosystem. Communication is open and frequent, creating a supportive environment where diverse perspectives and fresh ideas are truly valued. Initially, you will focus on - Delivering key billing changes within the Practice Tools domain using React, JavaScript or TypeScript, and Java or .NET. - Rolling out the Xero Partner Hub across all global regions to elevate the practice experience. - Retiring legacy HQ components once the hub is live to improve system reliability and cost efficiency. - Aligning authorization models with OAuth standards while advancing AI-driven automation across the delivery pipeline. Where and how you can work This position offers flexible working options for candidates based in New Zealand. You can choose to work remotely from home or access our modern office spaces in Wellington or Auckland. Whether you prefer coming into an office daily or working entirely from home, our setup supports your preferred working style alongside occasional team connection opportunities. Here are some of the things we are looking for - Experience developing web applications using React alongside JavaScript or TypeScript. - Solid background in backend development (Preferably either Java or .NET) - Practical knowledge of modern DevOps practices, including CI/CD pipelines using tools like GitHub Actions, Jenkins, or Spinnaker, along with robust monitoring and alerting. - Direct hands-on experience building with AI and agentic systems beyond basic prompt engineering. - A proven track record of mentoring junior colleagues and patiently guiding team members through new technical methodologies. - A proactive, self-directed mindset with the drive to take ownership of complex technical challenges and grow toward senior leadership. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Задачи: — Автоматизировать backend-платформу. — Развивать автотесты на Python. — Тестировать API. — Автоматизировать проверку партнерских интеграций. — Тестировать платежные сценарии. — Тестировать "руками" новую функциональность. — Участвовать в регрессионном тестировании. — При необходимости заниматься ручной проверкой мобильных сценариев. — Участвовать в улучшении процессов качества. — Работать с метриками качества. — Развивать подходы к автоматизации. — Увеличивать покрытие продукта автоматизированными тестами. Требования: — Опыт в коммерческих проектах/продуктах от 5 лет, из которых минимум 3 года - автоматизация на Python для backend. — Опыт тестирования интеграций. — Опыт работы с REST API, Swagger, HTTP/HTTPS, JSON. — Опыт встраивания тестов в CI/CD. — Широкие знания инструментов тестирования. — Опыт работы со сложной бизнес-логикой. — Понимание микросервисного взаимодействия. — Опыт работы с платежными или другими критичными бизнес-сценариями. — Способность самостоятельно разбираться в новой предметной области. — Готовность совмещать автоматизацию и ручное тестирование. — Готовность при необходимости тестировать мобильные сценарии руками. Будет плюсом: — Опыт тестирования мобильных приложений. Условия: — Трудоустройство в аккредитованную IT‑компанию. — ДМС со стоматологией и льготными условиями для членов семьи. — Работа в уютном офисе в центре Москвы (ст. м. Савеловская), в Краснодаре или удаленно из других городов РФ, также есть офисы в Санкт-Петербурге (ст. м. Балтийская) и Иннополисе. — Корпоративные скидки PRIMEZONE, бесплатная подписка Магнит Премиум с повышенным кешбэком по программе лояльности М+. — Поддержка в развитии через обучение, конференции и митапы, а также программу для руководителей - Leadership club. — IT‑комьюнити - среда для обмена практиками и роста от эксперта в стеке до лидера инициатив. — Партнерство с Минцифры России по проекту Национальная система подтверждения IT‑компетенций. — Работа над масштабными продуктами и проектами (Умный магазин, роботизация, беспилотность, GenAI и другое). — Социально–психологическая поддержка от более 370 специалистов по направлениям: юристы, психологи, врачи, финансовые и ЗОЖ советники.

Joi Lab (joilab.ai) is an open research arm building open-source generative models, agent architectures, and training infrastructure. All code, weights, and data are public. The focus is on true AI agency with persistent memory, self-modification, and self-authored capabilities, not just ChatGPT wrappers. The role involves working with huge models up to 1 trillion+ parameters, ensuring fast and cheap production inference, and technologies like SGLang, caching, distributed inference, and post-training. The candidate will also set the technical direction for NLP and CV engineers. Требования к кандидату: — 5+ years of experience in ML engineering — Deep hands-on experience optimizing LLM inference — Proficiency with PyTorch and related libraries — Experience with distributed inference/training of large models — Strong understanding of inference optimization techniques — Proven technical leadership in guiding engineers — Backend engineering experience (Python, Go, C#) — Advanced English or Russian language skills

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE At Halter, we’re changing the way the world farms - and with that comes a great deal of responsibility to the producers worldwide who trust us with their animals. Our hardware fleet operates across farms and ranches globally, and as we scale, we need better systems, better tooling, and smarter workflows to support our farmers faster and more reliably. We’re looking for a highly motivated Intermediate Field Operations Engineer to join our Field Operations team. This role is ideal for someone with a computer science or software-oriented background who enjoys solving real-world problems, building internal tools, and improving how teams operate at scale. This role sits at the intersection of hardware operations, customer impact, and engineering. You will spend part of your time running the day-to-day work, such as monitoring fleet performance, triaging issues, working tickets, and coordinating resolution. The other part of your time will be dedicated to designing and building internal tooling, dashboards, automations, and process improvements that make the Field Operations team more effective and allow us to scale globally. You will collaborate closely with Field Engineers, Product, Deployment, Customer Experience, and Software teams to improve how we detect issues, investigate incidents, drive resolution faster, and more consistently. WHAT YOUR DAY COULD LOOK LIKE Fleet monitoring and operational support - Monitor hardware performance metrics to proactively identify collar and tower issues - Investigate and respond to technical support tickets related to collar functionality and tower performance - Lead investigations end-to-end, from triage through root cause to resolution, deciding when to escalate to relevant teams - Collaborate closely with customer teams to ensure efficient handover and resolution of technical issues - Communicate cross-functionally with Deployment, Product, and Engineering teams to align on incidents, root causes, and follow-ups - Contribute to and maintain internal documentation and knowledge bases for known collar and tower issues Tooling, systems, and scaling improvements - Identify opportunities to remove manual work and improve internal workflows across Fleet Operations - Own and build internal tools that support fleet monitoring, investigation, and incident response for a scalable global operating model - Improve internal process flows, including triage pathways, escalation rules, investigation checklists, and automation, to reduce time-to-resolution - Create systems that help surface issues earlier, such as improved alerting logic, trend analysis, and automated detection of known failure modes - Work with engineering teams to integrate tooling with core systems and improve data quality and visibility Field exposure (optional, as needed) - Visit customer farms to work through hardware issues alongside our field-based team where useful WHAT YOU WILL BRING - Hands-on experience in technical operations, support engineering, or a similar role. A background in Computer Science, Software Engineering, Mechatronics or similar is useful but not required - Strong analytical and problem-solving skills, with the ability to break down ambiguous problems and turn them into clear next steps - Confidence working with systems and data, including dashboards, tools, workflows, logs, and APIs - A track record of building tools or automations that others rely on, designing scalable workflows, and making systems easier to operate - Strong technical troubleshooting skills with a practical, hands-on approach - Excellent attention to detail and the ability to identify patterns in data and turn them into action - Clear and concise communication skills, including the ability to explain technical issues to both technical and non-technical audiences - Strong time management skills and the ability to prioritise across urgent support needs and longer-term improvement work - Comfort operating in fast-paced environments where priorities can shift quickly - A passion for supporting farmers and ranchers, and contributing to Halter’s mission to change the way the world farms DEPENDING ON WHERE YOU SIT ON THE STACK, SOME OF THESE WILL LAND HARDER THAN OTHERS - Frontend: strong UX intuition, modern frontend frameworks (React, React Native a bonus), an eye for performance and polish on real devices. - Backend: building and scaling REST APIs, distributed systems, and event-driven services. Comfort with both relational and non-relational databases. Node.js, Kotlin, Go, or systems that integrate with hardware/IoT a bonus. - Full stack: all of the above, end to end, across web, mobile, and the services that power them. WHY THIS ROLE MATTERS This is a role where you will have a direct impact every day, both by helping solve urgent issues for farmers, and by building the internal systems and tooling that allow Halter’s Field Operations team to scale across the globe. THE DETAILS - Full-time with some rostered on-call - Regular days off are Saturday/Sunday with weekend on call rostered - Based in our Auckland HQ JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: British Columbia Workplace: Hybrid Safe Software is looking for an experienced developer to join our Cloud Applications team and take a leading technical role in our FME AI Service, AI Assist Plugin, and future AI product offerings. This is deliberately a hybrid role. We need the software engineering depth to build and operate production services, alongside the experimental instinct to determine empirically what makes an LLM-based agentic system work. Many of the problems don't have standard solutions yet, so you'll be the person who designs the experiment, measures the result, and turns the finding into a shipped improvement. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM As a member of our Cloud Applications development team, you will take technical leadership of designing and developing new features, as well as maintaining existing functionalities in our products. You will primarily work in Python (FastAPI and LangChain), with a willingness to learn new languages and technologies as needed. You will also contribute to support our live applications. The team practices agile development and utilizes Kanban boards to manage their backlog, epics and stories. As a Staff Software Developer - AI Products, you will regularly participate in team meetings (stand-ups, planning), lead technical decision-making processes, and work closely with our Product Managers, UX Designers, and QA, as well as Customer Experience team members who review live traces from AI applications. WHAT YOU’LL BE DOING As a Staff AI Developer, you will: - Design and build server-side services and APIs (FastAPI). - Design and build modular agentic workflows to augment the FME platform capabilities. - Stay up to speed with developments in AI and LLM tooling, and incorporate relevant ideas into our products. - Participate in every aspect of the development cycle, including shaping specifications with the product owner, developing clean and maintainable code, writing unit and integration tests, doing code reviews, and maintaining and improving existing code. - Collaborate, support, and share expertise with other team members. - Work closely with the product owner and design team to deliver a high quality and consistent user experience. - Maintain and continuously improve the building and delivery of our AI service to reduce query latency and improve assistant response quality. - Investigate, evaluate the impact, and resolve anomalies and bugs in live applications. - Participate in the team’s light on-call rotation to support live applications. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. Background - Bachelor's degree in Computer Science or a related field, or equivalent experience. - Typically, at least 7 years of experience working on production backend systems. - A track record of leading technically ambiguous projects and raising the capability of the engineers around you. Technical skills - Project or work experience with agentic LLM-based applications, including techniques such as RAG, prompt and context engineering, and tool calling. - Demonstrated experience evaluating LLM systems: building eval sets, defining quality metrics, and tracing and debugging non-deterministic behaviour. - Depth in at least one modern backend language, and the ability to pick up others as the work demands. - Experience with a modern backend web framework such as FastAPI. How you Work - An empirical mindset — comfort designing and running experiments to reach a decision, rather than reasoning about which approach should be best. - Strong interest in the craft, a curious mind, and eagerness to learn new tools and technologies. - Able to explain technical tradeoffs clearly to teammates and stakeholders. - Excellent organizational skills, with the judgment to prioritize your own work efficiently. - Resourcefulness and the ability to work well in a team-based environment. DESIRED SKILLS / BONUS POINTS We don't expect any single candidate to have all of these. Evaluation and experimentation: - Familiarity with LLM evaluation libraries such as Ragas, DeepEval, openevals, promptfoo, Inspect, or TruLens. - Experience with LLM observability and tracing tooling such as LangSmith, Langfuse, Braintrust, or Arize Phoenix. - Statistical literacy: A/B testing, significance, and sample sizing for model and prompt comparisons. - A background in machine learning or data science, or experience collaborating closely with those who do. - Experience with the problem domain: FME, other ETL tools, spatial data processing, or data integration. Retrieval and infrastructure: - Working knowledge of embeddings, vector databases (e.g. pgvector), and chunking and retrieval strategy. - Experience with Docker and deploying applications on Kubernetes. - Experience working with services from a cloud provider, such as AWS, GCP, or Azure. - Understanding of common client and server side vulnerabilities (e.g. OWASP Top 10) as well as security vulnerabilities specific to LLM–based applications. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.