Вакансии

— Проводить ручное тестирование функциональности и интеграционных решений. — Тестировать ролевую модель и права доступа пользователей на уровне организации и проектов.

Команда VK расширяется и ищет старшего инженера по ручному тестированию.

-Разработка и развитие модулей налогов, ЭДО и личного кабинета. -Разработка пользовательских интерфейсов на Vue 3 и TypeScript.

Location: Cairo, Egypt Workplace: hybrid The QA Operations team at inDrive is looking for a Junior QA Engineer who is passionate about quality and eager to develop their skills in a fast-paced, global environment. You'll become part of a collaborative team focused on building reliable and seamless experiences for our users Key Responsibilities Responsibilities Run regression test cases; Report found bugs; Correct test cases; Write test cases and other test documentation; Communicate with people within and outside the team. Skills, Knowledge and Expertise Requirements Have basic knowledge of testing theory. Test design, writing test cases and checklists, creating bug reports. Understand the principles of client server applications. Have practical experience in testing mobile applications on Android and iOS. Use emulators/simulators, intercept traffic Charles/Proxyman etc, understand the specifics of testing for different OS, take logs from real devices. Test the backend. Send and read API requests Postman etc, work with databases CRUD, know the basic commands of bash/zsh. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Москва Мы развиваем платформу управления операционными рисками для компаний Группы Сбера. Это enterprise-система, которой уже пользуются сотни сотрудников, а в ближайшее время количество пользователей вырастет до тысяч.Но наша команда делает не только классический продукт. Мы создаём и развиваем ИИ-агентов, которые работают с реальными бизнес-задачами: * агент оценки операционных рисков по документам * агент оценки рисков использования ИИ-агентов * агент оценки рисков поведения * ИИ-аналитик и методолог в чате. Backend: Java, Python Frontend: React 19, MobX Data: PostgreSQL AI: Qwen, GigaChat, LLM-based agents Интеграции: REST, gRPC, Kafka и другие корпоративные интеграционные механизмы. Важно уметь читать код, понимать архитектуру решений, разговаривать с разработчиками на одном языке и при необходимости самостоятельно собрать прототип. Обязанности * самостоятельно формировать системные требования * разбирать сложные бизнес и производственные процессы * участвовать в проектировании API и взаимодействия систем * декомпозировать сложные инициативы * готовить технические спецификации * моделировать процессы и взаимодействия * участвовать в архитектурных решениях и поддерживать их актуальность в корпоративной системе архитектурного моделирования * работать вместе с архитектором над техническими решениями * развивать практики работы команды с coding agents * помогать команде правильно формулировать задачи для AI * определять, что имеет смысл делегировать LLM, а где надёжнее реализовать классический алгоритм * экспериментировать с новыми агентскими подходами * внедрять лучшие практики AI-native разработки * измерять эффективность новых подходов через lead time и качество delivery. Требования * опыт 5+ лет в системном анализе или близкой роли * опыт управления командой или людьми * опыт работы с бизнес-заказчиками и сложными стейкхолдерами * умение декомпозировать сложные бизнес-процессы в технические решения * опыт проектирования интеграций и распределённых систем; * уверенное знание SQL * понимание REST / gRPC / событийного взаимодействия * умение работать с архитектурными схемами и технической документацией * способность самостоятельно писать системные требования и участвовать в проектировании * хорошие навыки коммуникации и переговоров. Мы ожидаем, что ты уже пробовал использовать AI в своей работе и понимаешь потенциал coding agents. Будет большим плюсом опыт работы с: * Claude / Claude Code * Codex * Qwen Code * GitHub Copilot * GigaChat другими AI coding assistants и агентами. Также приветствуется опыт быстрого прототипирования с помощью инструментов вроде Lovable, Claude Designer и аналогов. Необязательно знать конкретный инструмент. Гораздо важнее понимать принцип и хотеть экспериментировать. Условия * работу в команде сильных технических специалистов, которые строили систему с нуля и знают ее до мельчайших деталей * возможность проектировать систему с агентами нового поколения * работу с передовым стеком * достойную заработную плату (оклад + годовой бонус) * уникальную систему обучения Сбера для профессионального и карьерного роста * ипотеку для сотрудников с выгодной ставкой (до 1/3 ставки ЦБ) * современный офис рядом с м. Кутузовская * гибкий график (3 дня в офисе/ 2 дня удалённо) * корпоративный спортзал и зоны отдыха * расширенный ДМС и льготное страхование для семьи * бесплатную подписку СберПрайм+ и скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Вы знали, что для того, чтобы выдать клиенту Сбера какой-либо продукт (ипотека, потреб, карты), мы должны определить сумму, которую Банк зарезервирует у себя, чтобы управлять риском дефолта заемщика и необходимостью исполнения своих обязательств? Мы знаем об этом всё, так как занимаемся развитием продукта, который считает % ставку резервирования, с учетом которой и складывается сумма резерва. Наша команда состоит из 12 разработчиков, 6 аналитиков и 6 тестировщиков. Наш архитектурный периметр – ППРБ и ЕФС. Сейчас мы ищем тестировщика, который поможет решить новые амбициозные задачи. Знание предметной области рассматриваем скорее как плюс, но желание узнавать что-то новое- точно необходимо. Если ты активный, умный, любишь решать сложные задачи и работать в большом и дружном коллективе, то приходи к нам! Обязанности * обнаружение, документирование и отслеживание дефектов * взаимодействие с разработчиками, аналитиками * работа с автотестами - запуск, разбор падений, актуализация * участие в проработке задач * участие в ПСИ * тестирование нового функционала, регрессионное тестирование * подготовка тестового плана, чек-листов, тестовых сценариев, методик тестирования продукта * работа с дефектами на всем этапе жизненного цикла. Требования * опыт работы в данной роли от 3-х лет * знание методов и методик тестирования * опыт автоматизации (Java, Selenium, Junit, Allure): разработка новых и актуализация существующих автоматизированных тестов, запуск автотестов * опыт тестирования web-приложений (frontend & backend) * знание REST, опыт тестирования API * знание методов интеграционного взаимодействия и форматов обмена данными JSON. Умение составлять curl, опыт интеграционного тестирования, опыт работы с kafka * знание SQL * опыт работы с системами версионного контроля (Git, BitBucket) и баг-трекинга (JIRA) * опыт анализа логов * опыт анализа требований и написания по ним тестовых сценариев * понимание жизненного цикла разработки продукта * опыт создания и настройки CI/CD Job. Использование Groovy для написания скриптов автоматизации Jenkins Pipeline (Declarative и Scripted). Настройка pipeline для запуска автотестов (unit, integration, UI, API). Способность разбираться в существующем коде автотестов * умение оценивать трудозатраты, планировать процесс работы и доводить задачи до конца * умение расставлять приоритеты и проявлять инициативу * понимание основных объектов Kubernetes и их назначения. Понимание назначения service mesh и места Istio в архитектуре. Понимание mTLS и шифрования трафика между сервисами. Знание архитектуры Istio: control plane (istiod) и data plane (Envoy sidecar). Понимание взаимодействия Deployment ↔ Service ↔ VirtualService ↔ DestinationRule. Понимание связи Deployment → ReplicaSet → Pod.Развёртывание приложений в Kubernetes через манифесты и Helm. будет плюсом: * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. * опыт работы тестировщиком в Agile командах * знание Bash, XPath, RegExp * применение методик тест-аналитики на практике. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты, * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва AI-команда блока развития клиентского опыта B2C приглашает опытного AI-инженера для участия в создании AI-агентов и LLM-решений, которые улучшают взаимодействие с клиентами - как внешними, так и внутренними пользователями Сбера. Мы строим передовые AI-инструменты на основе LLM, автоматизируем процессы и делаем сервисы персонализированными. Вы станете ключевым участником команды, которая внедряет AI-решения в реальные бизнес-процессы. Наше управление состоит из 45+ специалистов: Data Scientists, AI и ML-инженеров, MLOps и Project-менеджеров. Мы активно развиваем решения на базе LLM, трансформируя клиентский опыт. Обязанности * разрабатывать и внедрять LLM-пайплайны и AI-агентов: от генерации идеи и сборки MVP до успешного запуска в продакшн * дообучать LLM (на базе GigaChat) под конкретные бизнес-задачи и предметные области (Fine-tuning, LoRA) * оборачивать разработанные модели и бизнес-логику в надежные микросервисы на Python * переводить бизнес-потребности на язык машинного обучения и предлагать оптимальные архитектурные решения. Требования * опыт: от 3 лет в Data Science или NLP с уверенным практическим применением LLM * LLM & Agents: опыт разработки LLM-пайплайнов, RAG-систем или AI-агентов. Знание основных фреймворков: LangChain, LangGraph или аналогов * NLP & ML: глубокое понимание NLP - от классических подходов (TF-IDF) до современных трансформеров и LLM; знание основных принципов и алгоритмов классического ML * Python Backend: понимание принципов проектирования микросервисной архитектуры (REST API); опыт написания асинхронных и многопоточных приложений (aiohttp, asyncio, multiprocessing) * Инженерная культура: умение писать чистый, поддерживаемый и тестируемый код на Python * Владение Git, SQL, Bash, Docker. будет плюсом: * опыт интеграции AI-агентов и ML-моделей в высоконагруженные сервисы * интерес к SOTA-подходам в агентной разработке * практическое применение фреймворка DeepAgents в PET проектах * опыт работы с Kubernetes. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

— Разрабатывать и поддерживать автотесты на Java для backend-сервисов; — Автоматизировать тестовые сценарии в общей TMS-системе (Allure);

Location: Spain; Portugal; Poland; Hungary; Czechia Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. The Role We are looking for a senior Applied AI Engineer to join Operations and improve how our business teams work. You will work directly with Support, Finance, Sales Ops, HR, IT, and Legal to turn repetitive tasks and disconnected workflows into reliable AI-powered tools and automations. We build AI to solve real problems, not to follow hype or impress investors. You will investigate how work gets done, propose improvements, and own technical decisions and delivery. We expect you to take initiative, deliver useful results quickly, and improve solutions through short iterations and feedback. What you’ll do Work with teams to understand their workflows, find bottlenecks, and propose improvements. Agree process changes with the COO and relevant teams before implementation. Build AI tools and automations that connect business systems and handle tasks such as document processing or ticket triage. Deliver working versions quickly and improve them through feedback. Prioritize opportunities by time saved, error reduction, and risk. Measure whether solutions deliver those benefits, reduce costs, and are actually used. Run and support what you build. Test AI outputs, keep integrations reliable as systems change, and manage failures, latency, and cost. Protect customer and employee data through limited access, minimal exposure, and redaction before model calls. Work with IT and Security on safeguards, audit trails, and human review where needed. Evaluate AI tools and vendors, and recommend when to use an existing solution versus building one. Document workflows and runbooks, train teams to use the solutions, and help them identify and request further automations. What we’re looking for 4+ years in operations engineering, business systems, automation, or a similar role, with 1+ years building production LLM or AI-enabled workflows. Hands-on experience with workflow automation platforms and REST APIs, webhooks, JSON, and OAuth. Strong working knowledge of prompt design, retrieval-augmented generation, and agent/tool-use patterns. Proficiency in Python or JavaScript, and comfort with cloud services; AWS preferred. Experience with at least one major business system, such as NetSuite, Salesforce or ServiceNow. Ability to translate business needs into technical solutions and explain trade-offs to non-technical leaders. Sound judgment and practical knowledge of AI security, privacy, and data governance, including least-privilege access, sensitive-data protection, data minimization, and approval controls for sensitive actions. Nice to have Experience with Microsoft 365 / Teams integrations and Microsoft Graph. Background in finance, revenue, or support operations processes. Familiarity with process mining, BI tools, or SQL. Experience with SOC 2, ISO 27001, or similar compliance frameworks. Relevant AWS, Azure, or security certifications. Familiarity with IT management, RMM, or endpoint security concepts. Experience shipping software with coding agents such as Claude Code or Codex, including harnesses, development loops, reusable skills, and context and specification management. Hands-on ownership of production backend services/APIs, with practical database and container experience. Systematic AI evaluation using datasets, metrics, baselines, reproducible experiments, and regression detection. Deeper ML foundations, statistical experimentation, and model training or fine-tuning. Experience with runtime isolation and sandboxing for sensitive execution. What Success Looks Like First 30 days: Understand key workflows and systems, and deliver a prioritized automation backlog First 90 days: Ship 3-5 production automations or integrations with measured impact, and publish AI usage and data-handling standards First year: Establish a repeatable intake-to-deployment process, show clear gains in hours saved and error reduction, and make AI tooling a trusted part of daily operations How We Measure Impact Hours saved, cycle-time reduction, error and rework rates, automation reliability (uptime and failure rate), AI cost per task, and stakeholder satisfaction. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: United Kingdom We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role & Responsibilities The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable. The role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders. This is a fully remote role in the UK ,supporting our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre. Key reponsibilities will include: Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment. Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics. Build and optimise Delta tables and materialized views, with attention to performance at scale. Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts. Define job-specific compute configurations appropriate to each workload, balancing performance and cost. Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers). Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies. Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments. Operate autonomously across a workstream, from scoping through to production deployment. Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them. Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific. The Requirements Essential Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience. Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production. Demonstrated ownership of medallion architecture design and data modelling. Implemented data quality frameworks and data contracts in production. Implemented PII protection (masking, tokenisation or access tiering) across environments. Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services. Track record of autonomous delivery, including direct stakeholder engagement. Databricks Certified Data Engineer Associate (minimum). Desirable Databricks Certified Data Engineer Professional. Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions. Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway). Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards. Governance and identity patterns (e.g. Entra ID, RBAC scoping). Applying regulatory frameworks (e.g. GDPR) to data platform design. Shared service centre or global delivery model experience, ideally in energy or industrial services.

Location: Wrocław, Poland; Porto, Portugal; Sofia, Bulgaria; Madrid, Spain New opportunities in Europe! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior QA Engineer to join our team and help evolve a large-scale blockchain-based platform for private markets. In this role, you’ll own end-to-end quality assurance, combining hands-on manual testing with building and expanding test automation across backend services, distributed systems, and blockchain integrations. You'll help establish testing approaches and automation practices from the ground up, working closely with engineering teams and business stakeholders to ensure reliable, high-quality releases. 🟩 What's in it for you: Work on an innovative blockchain platform designed to bring trust and transparency to private markets Deepen your expertise in blockchain systems, distributed architectures, and complex integrations Drive the development of test automation frameworks and help shape quality practices across multiple projects ✅ Is that you? 5+ years in QA/SDET roles, covering both manual and automated testing across the full SDLC Strong experience with backend and non-UI test automation Hands-on experience developing, maintaining, and debugging automated tests Strong programming skills for test automation, preferably with TypeScript/Node.js Ability to define QA strategies, test plans, and quality gates from the ground up Understanding of blockchain fundamentals, including wallets, transactions, and blockchain types Experience testing REST APIs and RPC-based interfaces (JSON-RPC, gRPC) Experience with Docker-based test environments and debugging containerized services Experience integrating automated tests into CI/CD pipelines and establishing quality gates Experience with AWS-based infrastructure Experience with MongoDB or PostgreSQL Strong analytical and problem-solving skills to identify risks and propose solutions Ability to independently manage testing activities, take ownership of deliverables, and proactively communicate progress and blockers Ability to adapt to changing priorities and demonstrate a flexible, hands-on approach to testing Ability to define testing scope and balance test coverage between QA and engineering teams Strong communication and collaboration skills across multiple stakeholders and teams Upper-Intermediate+ English level Desirable: Hands-on experience testing blockchain systems, smart contracts, and transaction flows Experience with Go for test automation EVM testing experience using Foundry, Hardhat, or similar frameworks Ability to read and understand Solidity or Rust code for smart contract validation Experience with Layer 2 solutions and blockchain protocol testing Experience testing asynchronous messaging systems (AWS SNS/SQS, Azure Service Bus) Experience with Kubernetes Experience with observability-driven testing Experience testing MCP servers Experience with performance and load testing 🧩 Key responsibilities and your contribution In this role, you'll lead testing activities across blockchain-based applications, from requirements analysis and manual validation to test automation and release support. Review business requirements and technical documentation to understand system functionality and identify testing needs Manually test new features and existing functionality to understand system behavior and guide test automation efforts Define and improve QA strategies, test plans, and quality gates Establish testing ownership and coordinate responsibilities between QA and engineering teams Work closely with engineering and product teams to define test coverage and acceptance criteria Build and maintain automated test suites, frameworks, and test harnesses, focusing on backend, integration, and contract testing Test blockchain integrations, smart contracts, REST APIs, JSON-RPC endpoints, MCP servers, and other blockchain-specific functionality Integrate and monitor automated tests within CI/CD pipelines and quality gates Investigate and troubleshoot issues across distributed systems and blockchain integrations Adjust testing priorities and approaches as project needs evolve Maintain test documentation, report quality risks, and communicate testing progress and blockers Help expand automation coverage and improve QA practices across multiple projects Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior Java Software Engineer with strong Oracle expertise to join a large-scale platform modernization initiative. You’ll work on a project that involves consolidating multiple platforms around Oracle, designing the database schema for a new application, and supporting a future MySQL-to-Oracle migration. In this role, you'll combine hands-on Java development with advanced database engineering and collaborate with cross-functional teams to deliver reliable solutions. 🟩 What's in it for you: Contribute to a large-scale platform modernization initiative that includes a future MySQL-to-Oracle migration Solve complex technical problems across application and database layers, combining hands-on Java backend development with advanced Oracle database engineering Collaborate with cross-functional teams to improve the performance and reliability of a business-critical platform serving 100k users ✅ Is that you? 5+ years of experience building, debugging, and optimizing scalable Java backend applications Strong proficiency in Java 8–17, object-oriented design, design patterns, multithreading, and concurrency Hands-on Oracle development experience in production, with strong knowledge of database internals (indexing, query optimization, partitioning, replication, and transaction behavior) Advanced SQL skills, including performance troubleshooting Experience with production database operations (backup/restore, high availability, disaster recovery, failover), including executing changes with minimal downtime Experience writing unit tests with JUnit and Mockito Experience with cloud platforms (preferably GCP) and Kubernetes or similar orchestration tools Hands-on Linux/Unix experience and scripting skills in Bash, Python, or similar languages Ability to work independently, take ownership of technical tasks, and proactively identify and resolve blockers Strong communication skills and experience collaborating with cross-functional Scrum teams and leading technical discussions Upper-Intermediate+ English level Desirable: Hands-on Oracle DBA experience in production Experience with major Oracle version upgrades or large-scale database migrations Oracle certification Experience with Groovy and Gradle Experience with CI/CD pipelines 🧩Key responsibilities and your contribution In this role, you'll combine Java backend development with Oracle database engineering, troubleshooting production issues, improving performance, and supporting migration activities. Design, develop, and maintain scalable Java backend applications Design the Oracle database storage schema for a new application Support the planning and execution of a future MySQL-to-Oracle migration Develop and optimize SQL queries to improve database performance Troubleshoot complex application and database issues in production environments Support production database operations and implement changes with minimal downtime Write and maintain unit tests using JUnit and Mockito Collaborate with cross-functional teams on technical design and implementation decisions Create and maintain technical documentation for relevant project activities Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ABOUT THE ROLE We are seeking an AI-forward Senior Salesforce Engineer to design, build, and support business-critical solutions on the Salesforce platform, along with the integrations and APIs that connect it to the rest of our systems. You will use AI-assisted and agentic development tools in everyday engineering work to 10x your pre-AI output. You bring the judgment to review, test, and secure what they produce. You are able to sit with the met with internal stakeholders we build for and collaborate with them and fix things in real time. This engineer will develop solutions using Salesforce OmniStudio, Sales Cloud, and Health Cloud, with Apex, Lightning Web Components, Flow, and SOQL. Experience with web technologies such as React, TypeScript, and backend services is a plus. The role includes both new development and ongoing production ownership in a healthcare environment. We are looking for outcome owners and not ticket takers. RESPONSIBILITIES - Fluid AI-assisted and agentic development weaved into daily work to design, build, test, document, and maintain Salesforce solutions, with appropriate human review and security safeguards. - You care deeply about your AI development environment and are comfortable driving work for with multiple agents and subagents working at the same time - Build and share reusable AI-assisted workflows, such as prompts, agents, and test and review automation, that improve the team's speed and quality. - Design, build, and maintain solutions on the Salesforce platform and the APIs and integrations around it, and contribute to custom web applications and backend services as needed. - Develop Salesforce solutions using OmniStudio, Sales Cloud, Health Cloud, Apex, Lightning Web Components, Flow, SOQL, and other platform capabilities. - Build secure and reliable integrations between Salesforce, internal applications, data platforms, and third-party systems. - Evaluate business and technical needs and determine whether to use Salesforce configuration, custom Salesforce development, a separate application, or an integration. - Deliver new features and support production systems, including participating in an on-call rotation, responding to incidents, and resolving issues with lasting fixes. - Write automated tests, review code, maintain technical documentation, and follow security and privacy requirements for healthcare and insurance data. - Experience running releases and deployments for Salesforce use Salesforce CLI or custom applications using version control, automated delivery processes, and tools such as Copado. - Participate in Agile planning and delivery, mentor other engineers, share knowledge, and help improve engineering standards. - Evaluate and build with new Salesforce AI capabilities, including Agentforce, when they can address a clear business need. EXPERIENCE AND QUALIFICATIONS - 5+ years of a strong record of delivering complex, business-critical solutions on the Salesforce platform. - Hands-on experience using AI coding assistants and agentic tools in daily development, with sound judgment on reviewing, testing, and securing AI-generated code. - Deep Salesforce platform expertise, including OmniStudio, Sales Cloud, Health Cloud, Apex, Lightning Web Components, Flow, SOQL, data modeling, and platform security. - Nice to have: experience building web applications with React and TypeScript. - Experience building integrations and APIs on Salesforce, including REST, events, integration tools, and common data exchange patterns. Backend service development experience is a plus. - Ability to translate business needs into technical decisions and explain options and tradeoffs to technical and non-technical partners. - A collaborative working style, with the ability to work independently, mentor other engineers, and raise engineering standards. - Familiarity with Agentforce and experience with Copado are preferred. - Knowledge of healthcare, health insurance, or benefits and the requirements for handling sensitive and regulated data is nice to have. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: United States Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters. In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field. As a Forward Deployed Engineer, you will: • Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments. • Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments. • Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance. • Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs. • Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs). • Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features. • Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks. You may be a good fit if you have: • 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments. • Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI). • Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance. • Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo). • Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads. • Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders. • The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers. • Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. As an Engineering Manager, Client Services at Fanatics Betting & Gaming (FBG), you’ll lead engineers within the Sportsbook Client team—an innovative, culturally driven group powering the rapidly growing Fanatics Sportsbook app. The team owns the core customer experience, from showcasing markets, events, and player statistics to rendering highly dynamic, real-time data. Together, we build features that elevate performance, usability, and engagement, driving customer loyalty through an exceptional user experience. You are expected to partner with product and design leadership to shape strategy, optimize engineering processes, remove blockers, and foster a culture of accountability, continuous improvement, and technical excellence. You play a key role in growing engineering talent, driving delivery rigor, and ensuring your team consistently executes against business commitments. We embrace principles of data-driven development, operational excellence, and continuous process optimization to deliver a stable, scalable platform. Central to our strategy is Kotlin, and Kotlin Multiplatform, which empowers us to deliver high-quality features quickly and consistently across multiple ecosystems. By focusing on object-oriented design, modern coding practices, open-source frameworks, and third-party platform integrations, we continuously innovate and deliver at speed in this exciting and fast-moving market. Responsibilities Hire, retain, and develop strong engineers, providing regular actionable feedback, coaching, and clear career growth plans. Lead team execution and delivery planning, ensuring clear ownership, proactive risk management, and consistent velocity against business commitments. Partner closely with product, design, and technical leadership to prioritize work, align team roadmaps with business strategy, and balance feature delivery with technical debt. Establish team norms, rituals, and operational rhythms that support high performance, psychological safety, continuous learning, and effective cross-team collaboration. Guide architectural decisions and technical quality standards on the team, acting as a technical soundboard and player-coach without needing to be the primary author of design specs or code. Drive operational health, system reliability, and observability for team-owned services and client applications, including participating in incident escalation management and post-incident reviews. Optimize sprint planning, grooming, story pointing, and retrospectives to scale practices and improve delivery metrics across client engineering initiatives. Guide teams in operational best practices, actively raising the bar for observability, reliability, and system resilience. Design, stress-test, and refine systems for maintainability. Improve the team's processes and response rhythms for handling high-pressure situations, scope changes, or production incidents, fostering an environment of composure and continuous learning. Develop, test, document, and deploy high quality software into production. Develop a fundamental understanding of our industry, product, feature set and roadmap. Work closely with our product team, design, and other internal stakeholders to make technology decisions that grow and improve our products. Participate in an on-call rotation to address urgent issues outside business hours and contribute to app enhancements and operational efficiency (OE) by troubleshooting and resolving application-related problems. Escalate when tasks or projects hit roadblocks. Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities. Experience and Skills 7+ years of software engineering experience with 2+ years of direct engineering management or technical leadership experience managing software engineers. Demonstrated experience hiring, mentoring, and growing engineering talent, building high-performing, inclusive teams. Strong technical foundation in mobile or client-service systems, with sufficient architectural depth to evaluate designs, guide trade-offs, and support engineering best practices. Proven track record of managing delivery plans, unblocking engineers, and driving operational rigor and quality in an Agile/Scrum environment. Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better. Able to effectively communicate complex technical subjects to a variety of audiences (engineers, technical leaders, marketing and operations teams, non-technical functional leaders). Familiar with Agile software product delivery and SCRUM methodology. Thrives in a high-growth environment where priorities evolve regularly and decisions are made quickly. Able to effectively work cross-functionally within an enterprise environment. A Bachelor’s degree, or professional certification, or a combination of education and experience Preferred Qualifications Experience designing and building backend services using Spring Boot or similar Java frameworks Experience working in large-scale distributed systems and event-driven architectures Exposure to cloud infrastructure (e.g., AWS, GCP), CI/CD pipelines, and observability tools Familiarity with functional programming paradigms and actor-based concurrency frameworks like Apache Pekko (or Akka). If you possess some of these qualifications but not all of them, we still encourage you to apply! 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 $144,400 — $237,500 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 .

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer, Customer Memory. About the job This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves. You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work. Responsibilities In this role, you’ll: Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets. Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships. Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces. Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands. A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability. Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn. Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production. Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking. Desired: Experience with Go and/or Python. Experience with event-streaming systems (e.g. Kafka). Experience building LLM-backed products. Practical experience applying ML, e.g. building, evaluating, or productionizing models. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 13, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.