Вакансии

Location: Челябинск Каждый второй предприниматель малого и среднего бизнеса в России работает со Сбером. Наша команда создаёт технологичные решения, постоянно улучшает свои навыки и развивается вместе с малым бизнесом страны. Откликайся и мы поможем тебе освоить специальность, предоставим базу клиентов и возможности для развития! Обязанности ### **Что нужно делать:** * развивать бизнес клиентов из закрепленной базы, подбирая решения от Сбера * выезжать на переговоры к клиентам * предлагать клиентам продукты, рекомендованные AI-системой для их бизнеса * продавать банковские продукты и помогать с их оформлением. Требования ### **Мы ждем, что ты:** * специалист с высшим образованием * имеешь опыт работы в сфере продаж банковских или финансовых продуктов корпоративным клиентам * имеешь опыт проведения переговоров на уровне первых лиц компании * знаешь отрасли ведения бизнеса и банковские продукты для малого бизнеса * готов использовать ИИ в ежедневной работе (обучение за счёт компании — есть свои курсы). **Присоединяйся к команде Сбера!** #клиентский\_менеджер\_малого\_бизнеса #менеджер\_по\_работе\_с\_корпоративными\_клиентами #менеджер\_по\_работе\_с\_юридическими\_лицами #клиентский\_менеджер #менеджер\_по\_продажам #менеджер\_по\_эквайрингу #финансовый\_консультант #менеджер\_по\_лизингу #менеджер\_по\_развитию\_бизнеса #менежер\_по\_кредитованию **Мы будем рады, если у тебя есть опыт в компаниях:** ВТБ, Альфа Банк, Тинькофф, Промсвязьбанк, Открытие, Юникредит Банк, Газпромбанк, Россельхозбанк, Райффайзен Банк, Ситибанк, Совкомбанк. Условия ### **Что мы предлагаем:** * оклад, квартальную, годовую премию и ежегодный пересмотр зарплаты * возможность влиять на свой доход * оплату транспортных расходов, корпоративную мобильную связь и планшет * программу адаптации и помощь руководителя на старте * работу со всеми отраслями бизнеса и широкой линейкой продуктов * расширенный ДМС и льготное страхование для семьи * уникальную систему обучения Сбера для карьерного развития и роста * подписку Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role and its impact Xero is trusted by millions of small businesses and their advisors around the world. As a Senior Data & AI Governance Specialist, you will help shape how we manage data as a strategic asset and govern AI responsibly, so our teams can innovate with confidence and our customers can continue to trust us with what matters most. Reporting to the Director of Data & AI Governance, you will move well beyond traditional compliance to provide hands-on enablement services that bridge the gap between policy and practice. This is a role where you will partner with teams across the business to co-design pragmatic data and AI governance approaches that tackle real-world challenges like bias, transparency, and explainability. You will advise decision-makers on where to set governance guardrails so that Xero teams are empowered to experiment and build safely, consistent with our Responsible Data Use Commitments. The team and how they connect You will join the Data & AI Governance team, which sits within Xero’s Legal function. The team works closely with Product, Privacy, Security, Regulatory, Risk, and Government Relations to ensure data and AI practices across the business are robust, responsible, and deliver customer trust. Together, you will build governance that is both rigorous and genuinely useful for the teams relying on it. Initially, the role will focus on - Evolving Xero’s privacy, data and AI governance frameworks to enable rapid, responsible data use and AI adoption and deployment across the business - Partnering with cross-functional teams to translate governance policies and requirements into practical, user-friendly guidance at scale and support their adoption - Delivering high-impact literacy programmes and tailored educational resources that uplift data and AI capability across Xero - Working with Regulatory, Privacy, and Risk functions to keep Xero ahead of evolving legislation and customer expectations in the data and AI space Where and how you can work This role is open to candidates based in Melbourne, Sydney, Auckland, or Wellington, with fully remote working also available for candidates within three hours of the AEST time zone across Australia and New Zealand. Xero offers flexible and hybrid working arrangements. For hybrid team members, our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we’re looking for - You bring deep knowledge of data governance frameworks and practices, including experience setting up stewardship models, governance forums, and supporting tooling such as data catalogues and data quality platforms - Your recent hands-on experience in AI governance means you can confidently understand AI systems, and navigate the ethical, regulatory, and operational challenges of responsible AI at scale - You have worked with engineers and other technical experts, giving you technical depth in areas like data architecture, quality and lineage and hands on experience bridging policy and technical implementation - Translating complex regulatory and policy requirements into clear, actionable guidance for diverse audiences is something you do well and enjoy - you are comfortable explaining governance concepts to technical SMEs, and technical concepts to policy stakeholders - Colleagues describe you as someone who builds trust quickly, communicates with clarity, and has the courage to raise and work through difficult topics - Familiarity with regulations such as GDPR, the EU AI Act, and CCPA, and certification frameworks such as ISO 27001/SOC2 strengthens your approach to governance design - A growth mindset and a genuine drive to Go Further means you are always looking for ways to automate, improve, and share what you learn with the people around you 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.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact Xero is trusted by millions of small businesses and their advisors around the world. As a Senior Data & AI Governance Specialist, you will help shape how we manage data as a strategic asset and govern AI responsibly, so our teams can innovate with confidence and our customers can continue to trust us with what matters most. Reporting to the Director of Data & AI Governance, you will move well beyond traditional compliance to provide hands-on enablement services that bridge the gap between policy and practice. This is a role where you will partner with teams across the business to co-design pragmatic data and AI governance approaches that tackle real-world challenges like bias, transparency, and explainability. You will advise decision-makers on where to set governance guardrails so that Xero teams are empowered to experiment and build safely, consistent with our Responsible Data Use Commitments. The team and how they connect You will join the Data & AI Governance team, which sits within Xero’s Legal function. The team works closely with Product, Privacy, Security, Regulatory, Risk, and Government Relations to ensure data and AI practices across the business are robust, responsible, and deliver customer trust. Together, you will build governance that is both rigorous and genuinely useful for the teams relying on it. Initially, the role will focus on - Evolving Xero’s privacy, data and AI governance frameworks to enable rapid, responsible data use and AI adoption and deployment across the business - Partnering with cross-functional teams to translate governance policies and requirements into practical, user-friendly guidance at scale and support their adoption - Delivering high-impact literacy programmes and tailored educational resources that uplift data and AI capability across Xero - Working with Regulatory, Privacy, and Risk functions to keep Xero ahead of evolving legislation and customer expectations in the data and AI space Where and how you can work This role is open to candidates based in Melbourne, Sydney, Auckland, or Wellington, with fully remote working also available for candidates within three hours of the AEST time zone across Australia and New Zealand. Xero offers flexible and hybrid working arrangements. For hybrid team members, our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we’re looking for - You bring deep knowledge of data governance frameworks and practices, including experience setting up stewardship models, governance forums, and supporting tooling such as data catalogues and data quality platforms - Your recent hands-on experience in AI governance means you can confidently understand AI systems, and navigate the ethical, regulatory, and operational challenges of responsible AI at scale - You have worked with engineers and other technical experts, giving you technical depth in areas like data architecture, quality and lineage and hands on experience bridging policy and technical implementation - Translating complex regulatory and policy requirements into clear, actionable guidance for diverse audiences is something you do well and enjoy - you are comfortable explaining governance concepts to technical SMEs, and technical concepts to policy stakeholders - Colleagues describe you as someone who builds trust quickly, communicates with clarity, and has the courage to raise and work through difficult topics - Familiarity with regulations such as GDPR, the EU AI Act, and CCPA, and certification frameworks such as ISO 27001/SOC2 strengthens your approach to governance design - A growth mindset and a genuine drive to Go Further means you are always looking for ways to automate, improve, and share what you learn with the people around you 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: — Использовать AI для разработки функций на backend, web, Android и iOS. — Сотрудничать с продакт-менеджерами для формирования решений и проектирования в условиях ограничений. — Владеть полным жизненным циклом функций: проектирование, реализация, тестирование и выпуск. — Писать комплексные автоматизированные тесты и обеспечивать высокое качество доставки. Требования: — Опыт в разработке ПО 5+ лет, особенно в backend. — Ежедневный опыт работы с AI-инструментами программирования в продуктивных средах. — Сильные знания алгоритмов, структур данных и проектирования систем. — Способность работать с несколькими стеками и быстро осваивать новые технологии. — Владение английским языком на уровне не ниже intermediate. Плюсы: — Опыт с Java 17+, Spring Boot, микросервисами и высоконагруженными системами. — Знакомство с платформами для прямых трансляций и видео. — Опыт создания агентных рабочих процессов и автоматизированного тестирования на разных поверхностях. Условия: — Конкурентная зарплата, бонусы по результатам и опционы. — Официальное трудоустройство на Кипре с поддержкой визы для сотрудника и супруга. — Офис в Лимассоле с питанием, закусками и корпоративной культурой. — Медицинская страховка (100% для сотрудников, 75% для семей). — Доступ к матчам Aris Limassol F.C., корпоративным мероприятиям и урокам греческого. — Формат работы: офис (Лимассол).

Location: Shanghai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in .NET C#, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Bengaluru, India We are looking for a Senior AI Quality Engineer (L3+) with strong Python skills and hands-on experience testing AI and ML systems. You will analyze requirements, define evaluation strategies, build automated checks, validate models and outputs, test APIs and data pipelines, verify defects through resolution, and contribute to release readiness for your assigned product area. You will both evaluate AI systems and design, build, and operate QE agents for the software testing life cycle. AI-assisted work is part of everyday QE practice on this engagement, with Ragas, DeepEval, promptfoo, Cursor, and other AI and ML tools used for evaluation, scripting, test generation, analysis, and maintenance. You will also build golden datasets, calibrate LLM-as-judge methods, test agentic workflows and RAG systems, implement self-healing and intelligent test approaches, and diagnose quality, safety, performance, and cost failures across distributed AI services. This position is intended for Hyderabad-based candidates who are available to work from the office. The client delivers AI agents, retrieval systems, models, and data pipelines across a broad technology landscape. Quality is part of delivery through evaluation gates, automated regression, model and data validation, security and privacy checks, and evidence that a release is ready. Python is the primary language for AI evaluation, model validation, API testing, data-pipeline quality, and QE agent design. The role combines deterministic automation with probabilistic evaluation to assess AI behavior across models, data, retrieval, tools, and integration surfaces, and designs and operates agents that support the software testing life cycle. Analyze requirements and define evaluation strategies, golden datasets, regression benchmarks, baselines, thresholds, and blocking metrics with domain-expert review. Design, build, and orchestrate AI agents, persona-based workflows, and reusable skills for the STLC using LangChain, LangGraph, or Semantic Kernel. Build automated evaluations and benchmarks for LLMs, agents, RAG, retrieval, tool trajectories, and contracts using Ragas, DeepEval, and promptfoo. Calibrate LLM-as-judge against human grading, manage non-determinism through repeated runs, and detect regression and drift. Write and maintain Python and pytest automation for AI, ML, API, data, and integration workflows. Use Cursor and agentic tools to analyze requirements, generate and review tests, and maintain evaluation suites. Validate deep-learning, reinforcement-learning, and predictive models using LangChain. Build AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, and defect triage, plus intelligent test selection and defect prediction. Integrate LLMs, APIs, embeddings, vector databases, retrieval pipelines, and enterprise data sources into QE frameworks using Python. Test REST and streaming APIs, agent tools, and RAG and MCP integrations, including authentication, errors, retries, and recovery. Test data and retrieval pipelines for schema integrity, lineage, idempotency, fallback, promotion gates, and rollback. Integrate evaluations, benchmarks, and agent workflows into QE frameworks and CI/CD on GitHub Actions, review Allure results, and keep TestRail aligned with automated coverage. Test prompt injection, jailbreaks, unsafe tool use, data exfiltration, access control, PII controls, and guardrails. Measure accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnose distributed failures. Implement tracing, monitoring, and production evaluation using Langfuse, LangSmith, or a comparable AI observability platform. Deploy and operate QE agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Deploy and validate AI and ML solutions on AWS or Azure, including secrets, database services, and cloud-native test infrastructure. Report, track, and verify defects in Jira, and work with domain experts, product, and engineering on traceable coverage and untested scope. Contribute to release readiness for the assigned product area without owning sign-off for the whole team. Strong Python proficiency with pytest for test and evaluation automation. Hands-on experience building and orchestrating AI agents and agentic workflows with LangChain, LangGraph, Semantic Kernel, or comparable frameworks. Hands-on experience building AI evaluations and benchmarks with Ragas, DeepEval, promptfoo, or equivalent tools. Hands-on use of Cursor or agentic development tools for test generation and maintenance. Experience defining AI evaluation strategies, golden datasets, regression benchmarks, and LLM-as-judge calibration, including non-determinism and drift. Experience validating deep-learning, reinforcement-learning, and predictive models with LangChain. Experience building AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, defect triage, intelligent test selection, and defect prediction. Experience integrating LLMs, APIs, embeddings, vector databases, and retrieval pipelines with automation frameworks in Python. Experience testing REST and streaming APIs, agent tools, RAG workflows, and MCP integrations. Experience testing data and retrieval pipelines for correctness, lineage, and safe promotion. Experience integrating AI evaluation and agent workflows with automation frameworks and CI/CD using GitHub Actions, Allure, TestRail, or equivalent tools. Experience testing AI security, privacy, access control, and guardrails. Experience measuring accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnosing distributed failures. Experience with AI tracing, monitoring, and production evaluation using Langfuse, LangSmith, or comparable tools. Familiarity with AWS, Azure, or GCP cloud AI services and agent platforms for deploying and validating AI and ML solutions. Experience deploying and operating agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Experience managing defects through resolution in Jira or an equivalent tool. Ability to work with domain experts, product, and engineering on ground truth and coverage gaps. Experience contributing to release readiness for an assigned product area. Playwright and TypeScript experience for UI and API automation. Real-device and cross-browser execution using LambdaTest, Sauce Labs, or an equivalent platform. Knowledge of AI-driven test optimization and coverage analytics using SeaLights or an equivalent platform. Experience contributing reusable components to shared automation frameworks and reviewing automation code through Git and GitHub workflows. Experience managing test data and troubleshooting test environments needed for reliable execution. Experience triaging security findings and validating operational readiness, monitoring, rollback, and recovery controls. Experience producing audit-ready evaluation reports and improving shared evaluation patterns, automation libraries, and datasets.

Location: Bengaluru, India We are looking for a hands-on NetSuite QE Senior who can own quality for finance order-to-cash and still write the tests. You will test NetSuite billing and Advanced Revenue Management workflows, build UI and API checks in TypeScript and Playwright with AI-assisted tools and agents, review generated tests, investigate cross-system failures, and provide release-readiness evidence. This position is intended for Hyderabad-based candidates who are available to work from the office. Our client uses Oracle NetSuite as its financial system of record for order-to-cash, billing, revenue recognition, tax, refunds, and membership. Quality Engineering covers ERP regression, financial change, and the integrations connecting commerce and candidate systems to NetSuite. Own quality for an assigned finance order-to-cash area, from requirements analysis and test design through functional execution, in-sprint automation, exploratory testing, defect resolution, and release-readiness input. Validate purchases end to end across storefront or registration flows, integration events, NetSuite billing records, downstream entitlements, and revenue plans. Design and execute coverage for sales orders, cash sales and invoices, payment events, promotions, price exceptions, vouchers, corporate billing, refunds, cancellations, and tax-sensitive scenarios. Test revenue recognition as a multi-stage process, including arrangements, elements, recognition rules and plans, fair-value allocation, carve-out, prospective merges, deferrals, and background-job timing. Write and maintain TypeScript and Playwright tests, using API checks as the default and UI automation for business-critical flows or fields that are not exposed through an API. Use AI-assisted tools and agents across requirements analysis, test design, code authoring, and suite maintenance, and review generated tests for missing coverage, correctness, and domain risk. Design reusable end-to-end scenarios and verification cases, using soft assertions, dynamic product data, and stage-aware revenue-recognition runs that avoid parallel data collisions. Keep test cases, ownership, tags, eligibility, and CI results traceable, and maintain sandbox users, API tokens, and a record of permission-restricted scenarios. Investigate missing or incorrect orders across integration events, APIs, ERP script logs, and downstream systems, then report and verify defects through resolution. Support pre-production regression, finance and tax sign-off, and controlled production smoke testing without using production as a general test environment. Senior-level hands-on Quality Engineering experience across requirements analysis, test design, functional and exploratory testing, defect management, automation, and release readiness. Practical experience testing Oracle NetSuite or a comparable finance ERP, with strong understanding of order-to-cash records and transaction lifecycles. Working knowledge of revenue recognition concepts and the ability to test multi-stage financial processing, allocation, deferrals, refunds, and background jobs. Hands-on TypeScript and Playwright for UI and API automation, including SuiteTalk, REST, or an equivalent ERP API, with the ability to write and explain the tests and judge when a UI check is still required. Experience using AI-assisted tools such as Cursor, GitHub Copilot, or equivalent, including agents, across requirements analysis, test design, code authoring, and suite maintenance, with review of generated tests for missing coverage, correctness, and domain risk. Ability to design reusable verification coverage, apply soft assertions to long transactional flows, and manage test data that must not collide in parallel execution. Experience testing integrated systems and tracing failures through event processing, API responses, application logs, and downstream outcomes. Experience with TestRail or equivalent traceability, CI regression, and Git. Ability to assess financial and revenue risk, separate release blockers from lower-impact defects, and communicate clearly with engineering, product, finance, and tax stakeholders. Experience with NetSuite Advanced Revenue Management, including arrangements, elements, plans, prospective merges, fair-value allocation, carve-out, and formulas used to challenge expected revenue amounts. Experience testing tax, multi-entity, localization, corporate billing, voucher, or price-exception workflows in an ERP. Experience maintaining automated coverage through ERP form-layout or field-placement changes. Familiarity with event-driven commerce integrations, dead-letter queue investigation, or payment and entitlement workflows.

Location: Bengaluru, India We are looking for a Senior DevOps Engineer with strong experience in process automation, CI/CD best practices, and NetSuite SuiteCloud development. In this role, you will be responsible for building and maintaining reliable deployment pipelines, supporting environment refresh processes, and coordinating across teams to ensure smooth delivery. You will work closely with engineering and platform stakeholders to improve automation, resolve technical conflicts, and strengthen DevOps practices across the delivery lifecycle. This position is intended for Hyderabad-based candidates who are available to work from the office. Design, build, and maintain CI/CD pipelines to support development and deployment workflows Implement process automation and DevOps best practices to improve delivery efficiency Support NetSuite development and deployment using SuiteCloud Developer Framework Manage and optimize NetSuite refresh processes Coordinate with technical and business stakeholders to resolve deployment or environment conflicts Ensure reliable promotion of changes across environments Collaborate with engineering teams to improve release quality and operational stability Document deployment processes, automation flows, and environment management practices Support continuous improvement of DevOps tooling and practices Strong experience as a Senior DevOps Engineer or a Release Manager Hands-on experience with Git, GitHub Actions, SuiteCloud CLI, SuiteScript 2.x/2.1, JavaScript/TypeScript, and managing complex branching and release strategies. Hands-on experience with CI/CD pipeline design and implementation Experience with process automation and DevOps best practices Strong NetSuite expertise Experience with SuiteCloud Developer Framework Experience supporting NetSuite refresh processes Strong coordination and conflict-resolution skills Ability to work effectively across technical teams and stakeholders Strong problem-solving and communication skills

Location: Bengaluru, India We are looking for an experienced Platform Engineer to support the existing AWS infrastructure and contribute to its ongoing modernization and consolidation. The role combines hands-on cloud engineering with a product mindset. We are not looking only for someone who can build or operate infrastructure – we need an engineer who treats the platform as a product and product engineering teams as customers: starting from developer friction rather than a preferred tool, building self-service and golden paths, and proving impact with data. The working schedule is aligned with UK business hours, from 9:00 AM to 5:30 PM UK time. Participation in an on-call rota may be required. This position includes a sign-in bonus. You will contribute to a transformation from team operated infrastructure toward a platform with clear self service capabilities. The platform is run as an internal product: product engineering teams are its customers, and success is measured by developer experience, adoption, reliability, delivery speed and cost. Design and evolve reliable AWS, Kubernetes, Terraform and CI/CD platform capabilities for engineering teams. Understand developer friction through conversations, feedback and data before choosing a technical solution. Build self-service capabilities, golden paths and guardrails that make the right thing easy for engineers. Measure outcomes (e.g. lead time, deployment frequency, reliability, cost) to prioritize work and confirm improvements. Work with product engineering teams to iterate on solutions and drive platform adoption. Balance standardization and controls with usability, so the platform enables teams rather than adding process. Strengthen observability, resilience, security and incident readiness. Take part in incident response, post-incident reviews and the on-call rota. Strong hands on AWS platform engineering experience in production environments. Practical experience with Kubernetes, EKS, Docker, Terraform, and Helm. Strong CI/CD experience, particularly with GitHub Actions and reusable pipeline design. Experience with logging and monitoring, networking and protocols, secrets management, and service discovery. Experience with at least one programming or scripting language. Evidence of designing secure, reliable, and maintainable platform solutions. Experience supporting business critical services, including participation in an on call rota. Experience identifying developer needs and translating them into practical platform improvements. Experience building self service capabilities, reusable workflows, or guardrails adopted by engineering teams. Ability to use data and metrics to prioritize platform improvements and evaluate their impact on developer experience, reliability, delivery speed, or cost. Experience collaborating with engineering teams to gather feedback, iterate on solutions, and drive adoption. Ability to balance standardization, security, and operational controls with developer usability. Experience with Honeycomb, OpenTelemetry, Prometheus or Splunk, including SLO-driven practices. Experience using platform engineering metrics to measure adoption, developer experience and operational outcomes. Pragmatic use of AI-assisted engineering tools to improve quality and productivity.

Задачи: — Автоматизация группы компаний на базе программных продуктов 1С8 (ДО, Клиент ЭДО, Итилиум). — Расширение и развитие используемого функционала. — Интеграция с другими программными продуктами: ERP 2.5, БП 3.0, 1С:УПП. — Взаимодействие с ключевыми сотрудниками компании при постановке задачи, поиск оптимального решения, формализация требований. — Решение проблем производительности информационных систем, организация регламентного обслуживания информационных систем. Требования: — Опыт разработки конфигураций 1С (типовые и самописные). — Опыт разработки средств интеграции и взаимодействия системы "1С: Предприятие 8" с другими системами, включая http- и web-сервисы (обязательно). — Опыт анализа и описания бизнес-процессов. — Опыт оптимизации кода, встроенных запросов. — Отличное знание языка программирования, типовых механизмов платформы 1С: Предприятие 8. — Отличное знание языка запросов 1С: Предприятие 8. — Отличное знание внутренней архитектуры баз данных платформы 1С: Предприятие 8. — Опыт работы с данными в формате XML, JSON. — Опыт работы с криптографией средствами платформы 1С: Предприятие 8. Условия: — Работа в аккредитованной IT-компании с командой 500+ специалистов. — Современное техническое оснащение. — Комфортный офис (по желанию) с кофе, чаем, фруктами, сладостями, зонами отдыха и спортивным инвентарём. — Оплата курсов, конференций, митапов, доступ к внутренним тренингам и обмену опытом. — Живая корпоративная культура с внутренними мероприятиями, тимбилдингом, квизами. — Программа лояльности: скидки на еду, спорт, отдых, обучение, а также скидки на украшения Sunlight. — Расширенный ДМС. Компания использует высоконагруженные базы данных (до 35 ТБ), DevOps-практики, автотесты, SonarQube, RabbitMQ и Kafka для обмена сообщениями. Задачи уровня enterprise, поддержка, оптимизация процессов, автоматизация рутинных операций и улучшение системы. Открытость к техническим и процессным улучшениям.

Задачи: — Разработка и оптимизация фронтенда для платформы финансовых инструментов; — Разработка API для взаимодействия с бэкендом; — Оптимизация производительности фронтенда системы; — Нагрузочное тестирование системы, бенчмаркинг, выявление и оптимизация узких мест совместно с командой бэкенд разработки; — Участие в проектировании архитектуры системы. Требования: — 5+ лет коммерческого опыта с React/TypeScript; — Опыт разработки фронтенд компонентов в React Storybook; — Опыт адаптации фронтенда под требования тестирования через Selenium; — Понимание принципов работы производных финансовых инструментов; — Готовность к изучению новых технологий; — Знание .NET, Python для эффективного взаимодействия с бэкендом (желательно). Условия: — Гибридный формат работы; — Конкурентная заработная плата; — Профессиональное обучение и развитие; — Добровольное медицинское страхование сотрудника и несовершеннолетних членов семьи, страхование жизни и здоровья.

Обязанности: — формирование и контроль реализации среднесрочных и краткосрочных планов развития домена продукта в соответствии с общей стратегией развития продукта — управление ключевыми метриками и вкладом продукта в ключевые бизнес-показатели — проработка логики продуктовых сценариев в рамках домена, в том числе прозрачное управление изменениями — операционное управление развитием домена продукта, управление требованиями и работа с CTO по выработке решений — подготовка и защита продуктовых решений перед ключевыми стейкхолдерами — выстраивание эффективного взаимодействия со смежными командами. Требования: — опыт в роли Product Owner/Product Manager (от 3х лет) — опыт в развитии интеграционных платформ и ИИ-платформ будет преимуществом — опыт ответственности за достижение продуктовых целей — умение контролировать ключевые метрики — практический стиль управления: готовность работать руками, погружаться в детали и доводить решения до внедрения — достаточная техническая глубина для предметного взаимодействия с командой разработки, понимания архитектуры, интеграций и ограничений реализации — опыт взаимодействия с первыми лицами компаний партнеров и клиентов — инициативность, системное мышление, ориентация на результат Будет плюсом: — опыт работы в компаниях продающих ИИ решения — практический опыт с ИИ-инструментами — понимание рынка ИИ-сервисов и рынка Productivity. Условия: — достойная заработная плата + годовой бонус — сильная команда — ДМС с первого месяца работы — работа в аккредитованной IT компании — льготная ипотека от Сбера — гибридный формат работы — локация: Москва, м. Цветной бульвар

Задачи: — Поддерживать инфраструктуру на bare metal и виртуальных машинах. — Разворачивать и обслуживать кластеры Kubernetes. — Администрировать базы данных: PostgreSQL, Elasticsearch, Redis, Clickhouse. — Сопровождать Airflow и другие инфраструктурные сервисы (GitLab, Harbor, Vault). — Автоматизировать процессы (Ansible, Terraform, Flux). — Настраивать и поддерживать мониторинг (VictoriaMetrics, Grafana). — Заботиться о стабильной работе сервисов. — Вести техническую документацию — понятно и по делу. Требования: — Уверенное владение Linux (Debian/Ubuntu), понимание сетевого стека и принципов контейнеризации. — Опыт развёртывания и сопровождения продуктовых кластеров Kubernetes. — Умение автоматизировать инфраструктуру с помощью Ansible и Terraform. — Знакомство с GitOps-подходом (FluxCD или ArgoCD). — Навыки настройки мониторинга и логирования (Grafana, Prometheus, ELK Stack, Sentry, VictoriaMetrics). — Опыт построения CI/CD на базе GitLab CI. Условия: — Зарплата, соответствующая опыту, и прозрачная система мотивации. — Оформление по ТК РФ: белая зарплата, отпуска, больничные. — Возможность прикрепиться по ОМС к ведомственной клинике рядом с офисом. — Гибридный график 5/2 с плавающим началом дня. — Современный комфортный офис (м. Щукинская). — Бронь от призыва для военнообязанных сотрудников. — Поддержка профессионального развития: участие в конференциях и профильное обучение за счет компании. — Работа на стыке науки и современных технологий — Big Data и ML в продуктовой среде.

Задачи: — Разработка и развитие клиентской части продукта на React — от архитектуры и управления состоянием до production-ready UI с реальными пользователями. — Проектирование масштабируемой frontend-архитектуры, выбор технологических решений и формирование стандартов разработки. — Интеграция с backend REST API, участие в проектировании контрактов взаимодействия (OpenAPI/Swagger). — Оптимизация производительности приложения, управление техническим долгом, рефакторинг сложных участков кода. — Участие в code review, менторство разработчиков, развитие инженерных практик команды. — Взаимодействие с product-менеджерами, дизайнерами и backend-разработчиками на всех этапах разработки. — Участие в декомпозиции задач, технической оценке и планировании спринтов. Требования: — Глубокое знание React (18+) и его экосистемы: хуки, контекст, жизненный цикл компонентов, механизмы ререндеринга и оптимизации (мемоизация, виртуализация). — Уверенное владение TypeScript (generics, utility types, типизация сложных структур). — Опыт работы с state-менеджерами: Redux Toolkit, Zustand, React Query, TanStack Query; понимание разделения server-state и client-state. — Понимание принципов работы REST API, авторизации (JWT), обработки ошибок, идемпотентности (для платежных сценариев). — Опыт работы с CI/CD, Git, системами сборки (Webpack, Vite). — Понимание принципов чистого кода, SOLID, паттернов проектирования. — Знание методологий гибкой разработки (Scrum, Kanban). — Опыт коммерческой разработки на React от 5 лет, из них не менее 2 лет в роли Senior. — Опыт проектирования архитектуры SPA-приложений высокой сложности (множество зависимостей, ролей и сценариев). — Навыки адаптивной, кроссбраузерной и мобильной вёрстки (HTML5, CSS3, SCSS). — Умение работать с дизайн-системами, коллекциями компонентов (Untitled UI React, shadcn/ui), опыт ведения UI-kit в Storybook. — Опыт написания тестов (Jest, Vitest, React Testing Library). — Навыки проведения code review и менторства. — Системное мышление, умение упрощать сложные системы, критическое мышление. Будет плюсом: — Опыт работы в финтехе или highload-проектах. — Наличие портфолио / ссылок на GitHub или участие в open-source проектах. Условия: — Полностью удаленный формат работы. — Встречи и корпоративные мероприятия в офисе Москва/Вологда. — Окладная часть + KPI. — Возможность влиять на архитектуру и выбирать технологии. — Работа в сильной команде, поддержка профессионального роста. — Интересные задачи в быстрорастущем проекте.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Senior Principal Software Engineer is responsible for shaping and evolving the company’s technical landscape. In addition to designing, developing, and maintaining core systems, the Senior Principal Software Engineer provides strategic guidance to align technology initiatives with business goals. This role is vital in ensuring that the platform is secure, scalable, and performant—capable of supporting rapid growth and driving innovation. _______________________________________________________________________ RESPONSIBILITIES TECHNICAL STRATEGY & ARCHITECTURE ● Define and drive the overarching technical vision, ensuring the platform meets current and future scalability, performance, and security needs ● Evaluate and select tools, frameworks, and architectures to maintain a state-of-the-art technology stack LEADERSHIP & MENTORSHIP ● Provide technical leadership and guidance to the engineering organization, setting best practices and standards. ● Coach and mentor engineers, fostering a culture of continuous learning and collaboration Innovation & Research ● Investigate emerging technologies, frameworks, and best practices ● Lead prototyping initiatives and proof-of-concepts that can transform the platform’s capabilities SCALABILITY & PERFORMANCE ● Ensure the platform is designed for high performance and can seamlessly handle increasing user loads ● Oversee performance optimization, load balancing, and capacity planning strategies RELIABILITY & AVAILABILITY ● Design fault-tolerant, highly available systems that minimize downtime and deliver a seamless user experience Infrastructure Automation ● Advocate for and implement Infrastructure as Code (IaC) principles, CI/CD pipelines, and automation best practices ● Continuously refine deployment, testing, and operations processes to improve efficiency SECURITY & COMPLIANCE ● Collaborate with security experts to ensure platform integrity, compliance with industry standards, and protection of sensitive data ● Proactively address security vulnerabilities and champion secure coding practices CROSS-FUNCTIONAL COLLABORATION ● Work closely with product managers, designers, and other stakeholders to ensure technical initiatives support business objectives ● Drive alignment between engineering roadmaps and product strategies TECHNICAL PROBLEM-SOLVING ● Tackle complex architectural and technical issues, providing clear direction and innovative solutions ● Serve as an escalation point for critical system challenges CODE QUALITY & REVIEWS ● Uphold coding standards through thorough code reviews, ensuring high-quality, maintainable codebases ● Establish and enforce best practices around testing, documentation, and version control DOCUMENTATION & KNOWLEDGE SHARING ● Produce comprehensive technical documentation, including architectural diagrams, design guidelines, and operational runbooks ● Promote a transparent engineering culture by sharing insights and successes across the organization _______________________________________________________________________ QUALIFICATIONS ● 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc) ● Extensive software engineering experience, with a track record in designing and implementing large-scale, distributed systems ● Deep technical expertise: Proficiency in multiple programming languages, cloud platforms (e.g., AWS, Azure, GCP), and modern development frameworks ● Leadership acumen: Demonstrated ability to lead diverse engineering teams, inspire innovation, and drive successful outcomes ● Architectural vision: Proven skill in defining and driving architectural roadmaps that align with evolving business needs. ● Problem-solving ability: Expertise in diagnosing complex system issues and designing robust, scalable solutions ● Communication skills: Excellent written and verbal communication skills, capable of influencing both technical and non-technical stakeholders. ● Security conscious: Solid understanding of security best practices, compliance standards, and data protection ● Continuous improvement mindset: Passion for optimizing processes, toolchains, and workflows ● Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience As a Senior Principal Software Engineer, you will not only architect innovative solutions but also shape the technical culture. Your leadership and expertise will be pivotal in building a resilient, cutting-edge platform that supports rapid growth and drives long-term success. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $219K – $352K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: New York, United States Who We Are At OKX, we believe the future will be reshaped by crypto and blockchain technology. We operate a leading global crypto platform and build products and services designed to expand access to the digital-asset ecosystem. Across our global organization, we value ownership, sound judgment, collaboration, innovation, and the ability to operate effectively in a fast-moving and continuously evolving environment. Recruiting should insert the current approved OKX corporate “Who We Are” language when the position is posted. About the Team The Fraud Investigations Team (FIT) is a First Line of Defense function within OKX’s Risk organization responsible for identifying, assessing, investigating, and helping manage significant internal and external fraud risks affecting the company, its customers, personnel, and operations. FIT conducts and supports complex investigations involving digital assets, internal and external fraud, employee misconduct, insider threats, unauthorized access or misuse of information, vendor and third-party misconduct, account compromise, social engineering, collusion, conflicts of interest, and other significant fraud-related matters. The team works closely with Legal, HR, Information Security,Engineering, Physical Security, Compliance, Finance, Operations, and other functions across OKX. About the Opportunity We are looking for an experienced Senior Analyst, Blockchain Investigations & Fraud Intelligence to join FIT. This is first and foremost a blockchain investigations role requiring significant hands-on expertise tracing digital assets across complex blockchain ecosystems. The successful candidate must be capable of independently conducting sophisticated on-chain investigations, developing and testing attribution hypotheses, identifying relationships among wallets and entities, following assets through multiple chains and protocols, and translating highly technical blockchain activity into clear investigative findings. Blockchain analysis is a specialized investigative discipline. Accordingly, we are seeking someone who understands not only how to operate commercial tracing platforms, but also the underlying blockchain architecture, transactional mechanics, attribution methodologies, clustering techniques, tracing limitations, and evidentiary considerations necessary to reach reliable conclusions. The role extends beyond on-chain analysis. The Senior Analyst will combine blockchain intelligence with enterprise data, system logs, transactional records, open-source information, and other evidence to support complex fraud and insider-risk investigations. The position will also provide analytical support to the Global Physical Security Team (PST) on selected protective-intelligence and threat-assessment matters. The Senior Analyst will directly manage one Analyst and will be expected to serve as a subject-matter resource for blockchain investigations and analytical methodology across FIT. What You’ll Be Doing Blockchain Investigations & Digital-Asset Intelligence Lead and conduct complex blockchain investigations and transaction tracing across multiple wallets, counterparties, entities, blockchains, tokens, protocols, and digital-asset ecosystems. Trace the origin, movement, conversion, layering, consolidation, and ultimate disposition of digital assets , including activity spanning multiple intermediaries and blockchain environments. Conduct investigations using tools such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable blockchain intelligence platforms , while understanding the methodologies and limitations underlying platform-generated attribution. Analyze activity involving centralized exchanges, self-hosted wallets, decentralized exchanges, cross-chain bridges, mixers, privacy-enhancing technologies, DeFi protocols, smart contracts, stablecoins, NFTs, OTC activity, gambling platforms, and other relevant ecosystems . Trace assets across multiple chains and cross-chain transactions , identifying continuity of funds where technically supportable and clearly documenting assumptions or limitations where definitive attribution is not possible. Analyze transaction graphs, address relationships, behavioral patterns, clusters, counterparties, timing, amounts, transaction sequencing, and other relevant blockchain indicators. Understand and appropriately apply wallet-clustering and attribution methodologies , including the limitations and potential for false attribution associated with particular heuristics. Independently evaluate blockchain intelligence rather than relying solely on automated labels, risk scores, or vendor-generated attribution. Corroborate on-chain findings, where appropriate, with internal account records, KYC / KYB information, transaction data, access information, open-source intelligence, legal-process returns, or other available evidence . Identify relationships among blockchain addresses, OKX accounts, external counterparties, individuals, organizations, vendors, affiliates, and other relevant entities. Reconstruct complex transaction flows and create clear fund-flow diagrams, transaction maps, timelines, and visualizations that allow investigators and nontechnical stakeholders to understand the movement of assets. Analyze blockchain activity associated with suspected fraud , theft, account takeover, social engineering, insider activity, collusion, payment diversion, asset misappropriation, or other misconduct . Identify new wallets, counterparties, entities, or transactional patterns that may generate additional investigative leads. Clearly document the methodology, assumptions, confidence level, and limitations associated with blockchain findings. Distinguish between confirmed attribution , vendor attribution, analytical inference, behavioral similarity, and an unverified investigative hypothesis . Avoid presenting blockchain proximity, exposure, clustering, or a commercial risk score alone as proof of ownership, control, intent, or misconduct. Maintain current knowledge of emerging blockchain technologies, protocols, tracing methodologies, obfuscation techniques, fraud typologies, and developments affecting blockchain attribution or investigations . Fraud Investigations & Investigative Intelligence Conduct and support investigations involving internal and external fraud , employee misconduct, insider threats, vendor and third-party misconduct, collusion, conflicts of interest, asset misappropriation, unauthorized access, credential misuse, and other significant fraud risks . Combine blockchain findings with off-chain evidence to develop a comprehensive investigative picture rather than treating blockchain activity in isolation . Develop investigative hypotheses and objectively test those hypotheses against available evidence, including information that supports, contradicts, or fails to establish the hypothesis. Conduct timeline reconstruction, link analysis, relationship mapping, pattern analysis, clustering, and comparative analysis across individuals, accounts, wallets, devices, systems, transactions, and entities. Support investigations involving account takeover, impersonation, social engineering, business-email compromise, payment diversion, affiliate misconduct, and trusted-party abuse , particularly where a digital-asset, employee, vendor, or enterprise nexus exists. Analyze vendor, affiliate, partner, and other third-party activity for indicators of billing irregularities, undisclosed relationships, conflicts of interest, unusual payments, control circumvention, or other potential misconduct. Support investigative interviews by developing transaction timelines, identifying inconsistencies or information gaps, organizing evidence, and identifying appropriate areas for follow-up. Enterprise Data & Insider-Risk Analytics Analyze appropriately authorized information including system and access logs, authentication records, audit trails, customer-account activity, KYC / KYB information, transaction records, payment information, case-management records, vendor information, and relevant security telemetry . Correlate blockchain activity with enterprise data to identify possible connections among wallets, accounts, employees, customers, vendors, devices, transactions, and other relevant entities . Support investigations involving suspected unauthorized access, information misuse or exfiltration, credential compromise, control circumvention, unauthorized disclosure, or abuse of privileged access. Identify anomalous behavior or access patterns that may warrant additional investigation. Develop repeatable analytical methodologies capable of processing and correlating information from disparate systems. Use appropriate scripting, database querying, data visualization, and analytical technologies to efficiently analyze large or complex datasets. Investigative Reporting & Evidence Prepare clear, concise, and well-supported blockchain investigation reports, investigative memoranda, executive summaries, transaction-flow diagrams, link charts, timelines, and other analytical products . Explain complex blockchain concepts and transaction activity in plain language suitable for investigators, senior management, Legal, regulators, or law enforcement , as appropriate. Clearly distinguish among allegations, investigative leads, known facts, third-party attribution , analytical judgments, assumptions, information gaps, and substantiated conclusions . Ensure analytical conclusions are proportionate to the evidence and do not imply greater certainty than the underlying blockchain or other data supports. Maintain sufficient documentation to allow significant blockchain findings to be reviewed, reproduced, and understood by another qualified analyst . Preserve and handle investigative records in accordance with applicable evidence-preservation, chain-of-custody, confidentiality, privacy, access-control, and need-to-know requirements . Support appropriately authorized law-enforcement, regulatory, litigation, or legal matters in coordination with the appropriate company functions. Protective Intelligence & Physical Security Support Provide analytical support to PST on selected matters involving threats or concerning activity directed toward employees, executives, offices, events, or other company interests. Conduct authorized open-source, link, timeline, blockchain, financial, or other analytical research where relevant to understanding the identity, relationships, capabilities, or activity associated with a potential threat. Assist in evaluating available information relating to credibility, corroboration, intent, capability, access or opportunity, targeting, escalation, timing, and other relevant indicators . Prepare objective analytical products identifying known facts, analytical judgments, material information gaps, uncertainties, and appropriate confidence levels. Support PST’s assessment while preserving PST’s responsibility for protective-security decisions and operational response . Leadership & Development Directly manage and develop one Junior Analyst, including work allocation, coaching, technical development, quality assurance, and review of analytical work product . Serve as a FIT subject-matter resource for blockchain investigations and on-chain analytical methodology . Review blockchain analysis for technical accuracy, appropriate methodology, corroboration, reasonable attribution, and evidentiary support. Train and mentor junior personnel in transaction tracing, blockchain intelligence platforms, analytical reasoning, documentation, and investigative methodology. Help establish consistent standards for blockchain investigations, attribution , documentation, quality assurance, and reporting . Participate in time-sensitive investigations affecting a global organization, including occasional work outside normal business hours when required. What We Look For In You 7+ years of relevant investigative or analytical experience , with meaningful professional experience specifically conducting cryptocurrency or blockchain investigations . Demonstrated hands-on expertise independently conducting complex blockchain tracing investigations , rather than solely reviewing blockchain alerts or commercial risk scores. Advanced proficiency with one or more blockchain intelligence platforms such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable technology . Strong understanding of how blockchain intelligence platforms derive attribution, clustering, exposure, and risk information—and the limitations associated with those methodologies . Demonstrated understanding of blockchain fundamentals, including wallets and addresses, transactions, UTXO and account-based models, tokens, smart contracts, block explorers, transaction fees, confirmations, and blockchain-specific transactional structures . Strong understanding of digital-asset ecosystems including centralized exchanges, self-hosted wallets, DeFi , DEXs, stablecoins, cross-chain bridges, mixers, privacy-enhancing mechanisms, and other relevant technologies . Demonstrated ability to trace assets across multiple chains, protocols, and intermediaries and recognize when technical limitations prevent definitive continuity or attribution. Experience conducting transaction-graph analysis, wallet attribution , clustering, counterparty analysis, transaction-flow reconstruction, and investigative link analysis . Ability to critically assess blockchain attribution and distinguish among technical facts, commercial vendor intelligence, analytical inference, and unsupported assumptions . Experience integrating blockchain intelligence with off-chain evidence and enterprise information to develop investigative conclusions. Strong knowledge of fraud-investigation principles including corroboration, source evaluation, evidence preservation, timeline development, hypothesis testing, and documentation. Experience analyzing large or complex datasets and familiarity with tools such as SQL , advanced Excel, Python, Splunk, or comparable data-analysis technologies . Ability to clearly explain technically complex blockchain findings to audiences that may have little or no blockchain expertise. Strong investigative writing skills and demonstrated ability to produce accurate, concise, and defensible analytical products. Sound judgment and ability to work effectively where evidence is incomplete, conflicting, or evolving. Demonstrated discretion when handling sensitive employee, customer, investigative, security, or company information. Demonstrated experience mentoring, supervising, or reviewing the work of junior analysts or investigators. Nice to Haves Experience conducting blockchain investigations within a cryptocurrency exchange, blockchain analytics company, law-enforcement agency, regulatory organization, financial institution, intelligence function, or investigative consulting environment . Experience investigating digital-asset matters involving fraud proceeds, theft, account compromise, insider activity, social engineering, asset tracing, or complex cross-chain movement . Experience supporting asset recovery, law-enforcement referrals, subpoenas/legal process, civil litigation, regulatory inquiries, or other matters requiring defensible blockchain analysis . Experience investigating insider threats, employee misconduct, unauthorized access, data exfiltration, credential compromise, vendor fraud, conflicts of interest, or trusted-party abuse. Experience with OSINT, digital forensics, enterprise logs, security telemetry, or identity and access-management information . Experience creating custom blockchain analytics through APIs, SQL , Python, blockchain explorers, node data, or other raw-data sources , rather than relying exclusively on commercial graphical interfaces. Relevant blockchain-specific training or certifications, including certifications associated with Chainalysis , TRM Labs, or comparable blockchain-analysis platforms . Professional certifications such as CFE, CFCS, CAMS, GIAC, or comparable investigative, fraud , financial-crime, cybersecurity, or intelligence credentials . What Success Looks Like Success in this role requires significantly more than knowing how to enter an address into a blockchain analytics platform. The successful candidate should be able to receive a complex transaction, wallet, allegation, or investigative question and independently determine how to trace the activity, which chains and protocols are involved, what the available data establishes, what additional information is needed, what attribution can reasonably be made, and where the technical or evidentiary limitations prevent a definitive conclusion . The individual should be able to move seamlessly between on-chain and off-chain evidence , recognizing that a blockchain transaction may establish movement of assets without necessarily establishing the identity, knowledge, intent, or conduct of the person behind a wallet. They should also be capable of converting a highly technical blockchain investigation into a concise and defensible explanation that an investigator, attorney, executive, regulator, or law-enforcement partner can understand and act upon. At the same time, this person must be sufficiently versatile to apply the same investigative discipline to internal fraud , insider risk, enterprise data, third-party misconduct, and protective-intelligence matters when required. The hierarchy is much clearer this way: blockchain investigations are the specialized core competency; fraud /investigative intelligence is the broader mission; enterprise analytics and PST support are complementary capabilities. That should materially improve the candidate pool versus a title that makes blockchain expertise appear interchangeable with general data analytics. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000 - $214,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. 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: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drives everything we do. We’re looking for a Senior Manager to join our Rider Onboarding and Compliance team. The team sits at the heart of the Rider Support Centre (RSC) and are responsible for getting new applicants out on the road quickly and safely, and for keeping active riders compliant once they're there. It's a centralised, all-markets function, and it has a direct line to two things Deliveroo cares about most: rider retention and rider satisfaction. What You’ll Be Doing Your number one goal: Deliver the right rider hours, in the right areas, with compliant riders. Reporting into the Head of Rider Services, you'll lead the Rider Onboarding & Compliance team comprising; 3 Team Leads circa 30+ in-house Representatives split across our London and Manchester offices, circa 30+ person team in Deliveroo India In addition you'll hold a couple of outsource vendor partners accountable for performance; delivering business-as-usual onboarding and compliance support across every Deliveroo market. You'll own the strategy, run the large global projects that come with it, and act as the applicant and rider advocate across the business, not just the person accountable for the KPIs. Here’s what your day-to-day might look like: Deliver core marketplace operational metrics: Own and execute the global rider onboarding and compliance strategy to ensure we deliver the right rider hours, in the right areas, with fully compliant riders. Lead distributed global teams: Lead, coach, and scale a multi-layered operational team across the UK, an in-house team of 30+ in India, and external BPO vendor partners. Drive large-scale strategic initiatives: Plan and execute major projects, including onboarding pipeline standardisation and compliance process redesigns in close collaboration with Legal, Policy, and Data Science. Manage vendor performance and capacity: Direct outsource vendor productivity and set up robust forecasting and capacity models to effectively manage end-to-end team resourcing and global volume shifts. Advocate for riders and continuous improvement: Act as the primary rider advocate across the business to resolve complex escalations, leverage new tooling or automation, and drive operational excellence. What You’ll Need to Thrive Our ideal candidate will bring expertise in: Proven operational leadership: Significant experience leading multi-layered, multi-site teams in a fast-paced environment (such as onboarding, trust & safety, compliance, or customer support operations). Vendor & BPO management expertise: Hands-on capability in managing external outsource vendor partners, holding them accountable to strict quality and compliance standards while building collaborative, outcome-focused relationships. Resource and capacity planning: Strong commercial and analytical skills with demonstrated ability to build forecasting models and optimise headcount across internal and offshore resources. Cross-functional stakeholder management: Proven ability to partner with Legal, Policy, and Data Science teams to navigate complex regulatory, risk, and fraud requirements without sacrificing speed or rider experience. Change management and execution: A strong bias to action with a track record of implementing process changes, automation, and tooling that lift efficiency across distributed teams. Why Join Us? At Deliveroo, customer care is central to how we build trust across our marketplace. You’ll work in a fast-paced, global environment where service excellence drives real impact. 🔧 Make a visible impact every day Your work directly improves outcomes for customers, riders and restaurant partners. 🌱 Grow through ownership Take responsibility for complex cases and help shape improvements to how we operate. 🧠 Develop deep operational expertise Work across teams and markets to build strong regulatory and service knowledge. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine — our interview typically includes 3–4 stages. Learn more about how we hire here. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: New York City Office Workplace: OnSite COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You’ll design and build agentic workflows that power complex healthcare processes to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems. You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow.. As part of our ML team, you’ll work hand-in-hand with researchers to translate new techniques and insights into production-ready systems. The ideal candidate has full-stack engineering experience, hands-on expertise with LLM APIs, and a proven track record of deploying AI systems into production. You’ll work across the stack - from data collection to training pipelines to AI agent orchestration to frontend integration - bringing cutting-edge AI solutions to life in real-world healthcare environments. RESPONSIBILITIES As a Senior Backend Engineer on the ML team at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product delivery. You’ll help build agentic systems that use LLMs, and vision models, and structured automation to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. - Ship full-stack AI systems end-to-end - Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows. - Go from ideation to code within hours; iterate quickly on experiments and data. - Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and product QUALIFICATIONS - Proficiency in full-stack development, with a strong understanding of system design, backend engineering, and observability infrastructure. - A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures. - Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave