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Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a high level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. As a Program Manager at WHOOP, you will be a critical member of the team that develops the next generation of models that will power the features we can provide to members. This role sits at the intersection of machine learning, data science, sensor intelligence, platform engineering, and product, and is responsible for translating complex technical work into clear plans, dependencies, and outcomes to ensure projects are delivered on time, aligned to strategy, and built for scale. Success in this role will require a high degree of adaptability and a solutions mindset, ability to simplify complexity, while continuously managing shifting priorities. Foundation AI capabilities are critical to our ability to innovate quickly and responsibly. This role ensures that the underlying systems powering our features are delivered thoughtfully, reliably, and in a way that unlocks impact across the entire organization. RESPONSIBILITIES: - Drive Foundation AI projects from kickoff through development to deployment and stabilization - Support the VP of Foundation AI to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics - Develop project plans consistent with business goals and requirements for algorithm performance - Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication - Work with the FAI team, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, Firmware to ensure project objectives and priorities are aligned across departments - Bring together key stakeholders to facilitate timely and lasting decision-making - Partner with the extended team on compute infrastructure planning, focusing on availability constraints, capacity forecasting, vendor quotes/lead times, and tradeoffs across vendors. - Partner with the broader RAD program management team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner. - Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts. - Facilitate cross-functional communication across WHOOP for awareness and understanding. - Understanding of technical issues to facilitate resolution of project blockers is a plus QUALIFICATIONS: - 2+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems - Experience working with AI or applied ML teams - Familiarity with agile methodologies, sprint planning, backlog grooming processes - Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success - Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required - Clear, confident communicator who can bridge deeply technical teams and business stakeholders - Proven ability to influence without authority and drive alignment across diverse teams - Nice to Have: - Experience working with research teams - Background in consumer technology, platforms, or data-driven products - Experience organizing projects using Jira or similar platforms This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $$125,000-$175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Задачи: — Проектирование и разработка сервисов с применением принципов DDD. — Формирование культуры тестирования: написание unit/integration тестов, обеспечение необходимого уровня покрытия и тестируемости кода. — Наблюдаемость на стороне кода: метрики, структурные логи и сквозная трассировка запросов в самих сервисах. Сбор и визуализацию обеспечивает инфраструктура. — Принятие и защита архитектурных решений в команде (контексты С3-С4 из модели C4), ведение ADR (Architecture Decision Records). — Развитие сделочного контура (заказы и платежи): асинхронное межсервисное взаимодействие, идемпотентность денежных операций, транзакционный outbox, повторные попытки и отложенные срабатывания. Требования: — Опыт коммерческой бэкенд-разработки от 4-х лет на Go или Python. — Уверенное знание алгоритмов и структур данных, умение применять их для решения практических задач. — Уверенный опыт работы с PostgreSQL: оптимизация запросов, индексы, транзакции, уровни изоляции и блокировки, понимание планов выполнения (EXPLAIN), опыт ведения миграций. Работа с ORM (GORM) с пониманием генерируемого SQL. — Умение проектировать и реализовывать API (REST, gRPC), понимание версионирования и контрактного тестирования. — Уверенный опыт работы с Linux, Docker, Kubernetes (базовое понимание/опыт написания манифестов), настройка CI/CD пайплайнов. — Глубокое понимание принципов чистого кода, SOLID, DDD, микросервисной архитектуры и паттернов распределенных систем. — Уверенный опыт работы с брокерами сообщений (RabbitMQ, Kafka или аналоги): понимание гарантий доставки, обработка ошибок и dead-letter queues, идемпотентность и транзакционный outbox. — Опыт AI-assisted development: уверенное использование AI-ассистентов разработки (например, Cursor, GitHub Copilot, Claude Code, Codex) для декомпозиции задач, подготовки черновиков кода, рефакторинга, написания тестов, поиска дефектов и работы с документацией. — Умение критически проверять результаты AI: валидировать бизнес-логику, соответствие архитектуре и кодстайлу, покрытие тестами, производительность, безопасность и лицензионные риски. — Готовность нести персональную ответственность за код и технические решения, независимо от использования AI-инструментов. Условия: — Удаленно, полная занятость, ТК РФ

Location: European Union Workplace: Remote ABOUT PLAYSON Playson builds premium casino games and platform solutions for operators worldwide. Our products reach millions of players across regulated markets, and we ship frequently - which means our certification and compliance evidence has to be as well-engineered as the games themselves. We are hiring a Software Developer, Compliance, to own that engineering: a pipeline that lets us ship faster and safer, and a defence of the platform and the games that holds up in front of a lab, an ISO assessor, and a future SOC 2 auditor. About the role You are a software developer sitting inside compliance. You will build and continuously evolve a secure compliance pipeline so we can ship games and platform changes faster and safer - and you will be the technical person who defends what we shipped when an auditor, a certification lab, or a regulator asks. The scope is not games alone. You will stand in front of game certification labs, and you will also defend the platform: ISO certification of our systems and the evidence work that leads into a future SOC 2 audit. In every case, the job is the same. You produce the proof. You walk the auditor through it. You answer the question that was asked, with the evidence that was requested, and you stop there. You will own the technical side of game certification. You take a game math package from the review channel to the lab, you produce the evidence the lab needs - build hashes, PAR sheets, configuration snapshots, version manifests - and you answer the lab's technical questions yourself, without a developer sitting next to you. When a certificate comes back, you are the person who confirms every deficiency is closed before the game is allowed past the pre-release gate. Between lab submissions, you treat the pipeline as a product. Manual evidence collection, one-off screenshots, and tribal knowledge are the things you replace. You automate controls, tighten the audit trail, and shorten the path from "ready to ship" to "ready to show an auditor" without weakening the bar. Faster and safer at the same time is the point of this role - not one at the expense of the other.   WHAT WE'RE LOOKING FOR - You are a developer first. 3+ years writing production code, comfortable reading someone else's codebase and forming your own opinion about what it does. You are not a documentation coordinator who learned some technical words - Strong Node.js and TypeScript. Our game math packages, engine integration, rules and bets migrations, test suites, and compliance automation are all JavaScript-side. You will read game math code and verify that what it does matches what we told the lab it does - and you will write the tooling that makes that check repeatable - You know what it takes to build certified products. You have worked for an iGaming game provider, a lottery, or another business where products require certification. You understand how that shapes development, testing, and releases, and why the code and supporting evidence need to stay aligned. - You build pipelines, not checklists. You have taken a manual, high-stakes process and turned it into something engineered: automated evidence, versioned artefacts, gates that fail closed - You can read data and write queries. SQL against a production analytics store, log investigation, understanding a metrics pipeline well enough to tell a real control failure from a broken dashboard - Composure in front of an auditor. In a lab session, an ISO assessment, or a future SOC 2 walkthrough, you answer the question that was asked with the evidence that was requested. You communicate with auditors and certification labs precisely and factually. You provide complete evidence for the question or control being assessed, avoid speculation, and escalate regulatory interpretations to the Head of Compliance - You know where your authority ends. When a question moves from technical fact to regulatory interpretation or commercial consequence, you route it to the Head of Compliance instead of improvising - You write clearly and permanently. Compliance evidence is read years later by people who were not in the room. Your documentation has to survive that - You are comfortable saying no. You will be the person telling a squad, under release pressure, that their change does not pass the gate. That conversation needs to be calm, specific, and final - Precise by temperament. You check the version number rather than remembering it. You are not bored by an audit trail     NICE TO HAVE - Direct dealings with a certification lab (GLI, BMM, eCOGRA, iTech Labs, or similar) or a gaming regulator - Hands-on evidence work for ISO 27001, SOC 2, or an equivalent information-security audit - Understanding of RNG, RTP mathematics, and how statistical certification evidence is produced - Familiarity with multi-jurisdiction licensing (UKGC, MGA, and regulated EU and LatAm markets) - Observability and alerting tooling - Datadog or equivalent, including building automation on top of it rather than just reading dashboards - Experience with change-management controls, audit trails, and segregation-of-duties models - Incident response experience, particularly where the incident had a regulatory or audit dimension     WHAT YOU CAN EXPECT ON THIS ROLE - A role with real authority: you hold gate sign-off, and a release does not go past you without it - Genuine engineering work - you own the compliance pipeline as a product, not a pile of checklists with a technical title - Direct exposure to certification labs, ISO assessors, and the path to SOC 2 - rare and portable experience - Close collaboration with math, QA, platform, and SRE across games and the platform - A compliance function that is being built up deliberately, with room to shape how it works WHAT WE OFFER - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Join us today!   By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview We are seeking a Senior Localisation Quality Engineer, a highly skilled and innovative individual who brings together design-phase product thinking, software engineering expertise, localisation awareness, and technical problem solving. The role builds on the core responsibilities of a Senior Localisation QA Engineer, combining strong localization quality expertise with software engineering, automation, and earlier involvement in the product design and development lifecycle. This role is ideal for someone who has worked closely with design teams in Figma, has experience reviewing and validating designs before implementation, understands how localisation impacts product and UI design, and can build scalable technical solutions to improve quality across the product lifecycle. You will partner with design, engineering, product, and localisation teams to identify risks early, improve design quality and localisation readiness, and create tools, systems, and solutions that enable faster and smarter delivery. Rather than focusing only on post-implementation testing, this role emphasises early engagement in the design phase, including reviewing Figma files, prototypes, design systems, user flows, and content structures to ensure they are scalable, testable, and ready for localisation across languages and regions. You will also contribute as a hands-on engineer, building software, automation, integrations, and AI-driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision-making. The ideal candidate combines strong software development skills, experience working with design systems and Figma-based workflows, practical understanding of localisation and internationalisation, and hands-on interest in engineering solutions to product and quality challenges. Responsibilities Design Systems, Figma & Early Product Quality - Partner with designers, product managers, engineers, and the wider Localisation team to help identify localisation risks early in the design phase. - Support the Localisation team by reviewing Figma designs and providing technical and design expertise to improve localisation readiness before implementation. - Help the Localisation team identify and address design risks such as text expansion, truncation, layout issues, bidirectional languages, locale-aware components, and cross-market scalability. - .Build and improve tools, automation, and processes that enable Localisation QA to identify issues earlier and at scale, including automated design and content validation, screenshot capture, localisation readiness checks, and quality validation across languages and regions. - Work with the wider Localisation team to define best practices and guidance that help designers and engineers create products that are ready for localisation from the start. - Collaborate with design teams on design systems, UI patterns, and content structures to improve quality and reduce downstream issues before code is written. - Help define quality expectations, localisation considerations, and implementation guidance directly from design artefacts and product requirements. Localisation Quality & Testing - Perform hands-on Localisation QA testing across multiple languages, platforms, products, and regions, including linguistic, functional, visual, and internationalisation testing. - Lead and support complex localisation quality initiatives, while contributing directly to day-to-day testing when needed. - Develop and improve localisation test strategies covering linguistic, functional, visual, and internationalisation quality. - Investigate complex localisation and internationalisation issues and work with engineering, design, product, and localisation teams to identify root causes and appropriate solutions. - Help define localisation quality standards and ensure localisation considerations are integrated throughout the product development lifecycle, from design through implementation and release. Software Engineering & Technical Solutions - Design and develop software, internal tools, automation, and reusable services that improve product quality, design validation, and workflow efficiency. - Build scalable software solutions that support validation of product experiences across design, development, and release stages. - Contribute to codebases, frameworks, and technical infrastructure that improve quality signals, design consistency, and localisation support. - Partner with software engineers to improve feature readiness, system testability, and quality-by-design practices. - Integrate validation and quality workflows into modern development environments and CI/CD pipelines where appropriate. Automation, Tooling & Process Improvement - Identify opportunities to reduce manual work and improve localisation and product quality across design, engineering, and localisation workflows. - Design and build tools, automation, integrations, or other technical solutions that help teams review designs, validate content, detect issues, and improve workflows. - Choose the right technical approach for each problem, which may include traditional automation, scripts, plugins, APIs, AI/LLMs, or existing internal tools. - Develop solutions that help identify localisation and quality issues earlier in the product lifecycle and provide faster feedback to teams. - Prototype and test new approaches, measure their value, and develop successful solutions so they can be used by the wider Localisation team and potentially other teams. Cross-Functional Leadership - Act as a bridge across design, engineering, product, and localisation teams, helping align quality, scalability, and user experience goals. - Communicate clearly with both technical and non-technical stakeholders, translating complex issues into actionable recommendations. - Influence teams toward a shift-left, design-led quality approach. - Contribute to planning, design reviews, implementation discussions, and release readiness with a focus on preventing issues early. - Provide technical guidance and mentorship to members of the Localisation team, sharing engineering, automation, localisation, and quality best practices. - Promote a culture of innovation, technical excellence, and continuous improvement. Qualifications Education BS/BA in Computer Science, Engineering, Human-Computer Interaction, Design Technology, or a related field, or equivalent practical experience. Experience - 5+ years of experience in software engineering, design technology, quality engineering, localisation engineering, or related product development roles. - Strong hands-on experience in software development, with the ability to build tools, systems, integrations, or automation that solve real product challenges. - Experience working closely with design teams and Figma workflows, including reviewing designs, prototypes, component systems, and user journeys before implementation. - Experience validating or testing Figma designs for quality, scalability, localisation readiness, and implementation feasibility. - Practical understanding of localisation and internationalisation principles in digital products. - Experience with localisation quality or testing across multilingual products, platforms, or regions. - Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, or Java. - Hands-on experience building or experimenting with AI agents, plugins, copilots, or intelligent workflow tools. - Experience with APIs, structured data, system integrations, and modern software development practices. - Familiarity with developer collaboration tools such as GitHub, JIRA, and Confluence. - Strong understanding of product development lifecycle, Agile methodologies, and cross-functional delivery models. Soft Skills Excellent written and verbal communication skills. Strong product thinking and problem-solving ability. Comfortable operating across design, engineering, product, and localisation domains. Self-motivated, adaptable, and effective in a fast-paced environment. Strong organisational and stakeholder management skills. Desired qualifications Experience with Figma design systems, component libraries, and design-to-development workflows. Experience creating or contributing to Figma plugins, design validation tools, or workflow extensions. Experience building AI agents, assistants, or plugins for design, engineering, content, or localisation use cases. Experience influencing product quality earlier in the lifecycle through design review and engineering collaboration. Familiarity with multilingual product development, translation workflows, or international launch readiness. Experience in video games, consumer technology, digital entertainment, or large-scale product environments. Fluency in one or more non-English languages is a plus. What We Offer The opportunity to shape next-generation quality, localisation, and design-to-development practices. A dynamic and inclusive workplace where technical excellence, collaboration, and global impact thrive. Competitive compensation, performance bonuses, and comprehensive benefits. Career growth opportunities in a forward-looking engineering environment focused on quality, localisation, automation, intelligent systems, and early product excellence. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain; Netherlands Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 Meet the team 👥 Here at Cleo, we have ~45 ML engineers ✨ They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all.   About the role ✍️ We're hiring a Machine Learning Tech Lead to take on technical leadership and ownership of the Payments Intelligence team, managing a team of circa 4 MLEs. This team is responsible for optimising Cleo's payments systems - covering both credit collections and subscription retention - a workstream with a direct impact on the company's financial performance. You'll work closely with your cross-functional squad to understand business issues, then use your ML engineering skills to deploy best-in-class models that move the bottom line. - Lead and manage a team of 4 MLEs - Deploy machine learning models into production - classifiers, payments recommendation systems, and any other model that can have impact, typically working with tabular data rather than language models - Collaborate with product managers, backend engineers, and analysts, playing an active role in planning and sequencing work for the squad - Work closely with engineers to make sure the right data is collected to build future machine learning models What we're looking for 🕵 - At least 5 years of experience in data science, ML engineering, or related roles - At least 1 year of management experience, ideally of a small team - Ability to write production-quality Python code - Experience deploying machine learning models into production - Track record in payments, pricing, risk decisioning, or other business process optimisation problems - Comfortable with complexity, and developing a holistic understanding of a system in order to propose and build solutions - A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner - Nice to have: experience with credit collections WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Задачи: — Разрабатывать и рефакторить модули платформы (интерфейсы управления медиа-хранилищем) — руками агента под вашим управлением. — Проектировать поверхности взаимодействия человека и AI: чаты с потоковой передачей ответов (SSE), канвасы, дашборды агентов. — Создавать собственных AI-агентов и мульти-агентные системы, встроенные в продукт. — Разрабатывать и подключать инструменты на базе Model Context Protocol (MCP): понимать устройство MCP-серверов и проектировать клиентские решения «интерфейс — агент — инструменты». — Писать спецификации и правила для агентов, развивать реестр скиллов команды. — Ревьюить код — и человеческий, и агентский; держать планку качества. — Участвовать в планировании, оценке задач, релизах; работать в связке с аналитиками, бэкендом, дизайном и QA; менторить джунов — в том числе учить их работать с агентами. Требования: — Подтвержденный опыт разработки от 3х лет (по ТК РФ). — Глубокий практический опыт с React, Next.js, TypeScript. — Redux Toolkit (плюс — RTK Query), HTML5, CSS3, SASS/SCSS. — REST API, SSR, серверный Node.js. — Server-Sent Events (SSE): механика стриминга, обработка событий, реконнекты, graceful degradation. — Unit-тесты (Jest / React Testing Library), код-ревью, GitFlow. — SOLID, DRY, KISS — и понимание, когда агент их нарушает. — Ежедневная работа с AI-агентами в разработке: Claude Code, Codex, Cursor, GigaCode, Qwen Code, OpenCode, Roo Code, Windsurf — любой из них. — Умение управлять контекстом и сессиями агента: что положить в контекст, когда начать новую сессию, как декомпозировать задачу, чтобы агент её не «размазал». — Навык написания правил и промптов под проект: agents.md / CLAUDE.md / rules, переиспользуемые инструкции (скиллы). — Понимание MCP: что это, зачем, опыт подключения MCP-серверов к агенту. — Главное — умение ревьюить и доводить сгенерированный код: вайб-кодинг у нас заканчивается продакшеном, а не прототипом. Условия: — Официальное трудоустройство в Bell Integrator. — Конкурентная заработная плата (по итогам собеседования). — Аккредитованная ИТ-компания. — Формат работы: Москва офис (м. Кутузовская), после испытательного срока возможен гибрид. — Менторство. — Возможности карьерного роста и получения экспертизы в ведущих проектах страны. — Скидки на занятия фитнесом и собственное фитнес-приложение. — Скидки на занятия английским языком.

Location: Dublin, Dublin, Ireland, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support, sales engineers and solution architects to build the future of the Fivetran Data Platform Reliability. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Cloud Service Providers(CSPs): AWS, Azure and Google Cloud Kubernetes: Managed Kubernetes services (EKS, AKS and GKE) Continuous Integration tools: github actions, Buildkite Continuous Delivery: ArgoCd Databases: Postgres and all the major Databases Languages: Go, Java Scripts: Typescript, Python, Shell IaC: Terraform and Pulumi RESTful API: FastAPI Cloud networking: Privatelinks in Azure and AWS, Private service connect in GCP and site-to-site VPN tunnels in all 3 major cloud service providers - AWS, Azure and Google Cloud What You’ll Do As a member of the Site  Reliability Engineering team, you will take ownership over the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritise or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Skills We’re Looking For Expertise in managed Kubernetes (EKS, AKS, and GKE). Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD. Experience in Python/Shell scripting and Go Language. Bonus if you have Java. Experience with Linux operating systems internals and administration Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP) AI-assisted engineering: Experience using AI tools for code review, automation, incident analysis, documentation, and reducing operational toil. Bonus Skills​ 5+  years of  experience working with SaaS products at scale Experience with databases such as PostgreSQL #LI-IM1 #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Bulgaria, Poland Design, build, and optimize enterprise-grade solutions across a Salesforce ecosystem. Own end-to-end technical delivery: from detailed solution design and scalable development to deployment, integration enhancements, and production support, while continuously improving existing functionality as business needs evolve. Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Analyze and validate business, functional, and technical requirements to define effective solution approaches Provide technical guidance and mentorship to team members, ensuring adherence to Salesforce best practices and CCC-approved design standards Design, build, and deploy high-performance, scalable solutions across the Salesforce ecosystem Collaborate with Salesforce developers, ETL teams, Business Analysts, and cross-functional partners to deliver cohesive end-to-end solutions Evaluate existing systems to identify improvement opportunities and recommend changes that align with business objectives Troubleshoot and resolve complex system issues, performing detailed root-cause analysis and driving timely resolution Assess requirements and provide recommendations on scope, development effort, and technical feasibility Research, evaluate, and introduce new tools, technologies, and best practices to continuously enhance solution quality Perform architecture, design, and code reviews to ensure maintainable and scalable implementations Participate in sprint planning, project planning, release coordination, and Agile ceremonies Provide regular updates during daily Scrum meetings and status reporting What You Bring Extensive hands-on Salesforce development experience with strong proficiency in core platform capabilities Preferred certifications: Platform Developer I & II, Administrator, Advanced Administrator, Sales Cloud, and Service Cloud Deep expertise in Sales Cloud, Service Cloud, and overall platform architecture—including data modeling, security, and automation frameworks Advanced experience with Apex triggers, Apex classes, Lightning Web Components (LWC), Aura components, Visualforce, Batch Apex, Queueable Apex, Flows, and REST/SOAP integrations (JSON & XML) Strong troubleshooting skills with the ability to diagnose and resolve production issues including automation failures, Apex exceptions, and integration errors Thorough understanding of Force.com framework, governor limits, integration patterns, and Salesforce design best practices Comprehensive knowledge of Salesforce security/sharing models, custom object/field configuration, data management, workflows, validation rules, page layouts, and integration troubleshooting English Language Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Portugal Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For Technical Advisor to join our Global Customer Support Division. In this role, you will support enterprise customers in the successful operation, optimization, and strategic use of the Creatio platform with a focus on the MEA/America/Europe region. You will act as the primary technical point of contact, developing a deep understanding of each customer’s architecture, business objectives, and system configuration. Combining strong troubleshooting expertise with a proactive, advisory approach, you will provide guidance, preventive monitoring, and technical consultations to ensure platform stability, maximize value, and support long-term customer success. Responsibilities Technical Account Ownership: Be the dedicated technical contact for assigned enterprise accounts. Ensure full visibility and ownership over all technical matters, escalations, and platform usage challenges. Escalation Case Management: Collaborate closely with Support, Product, and RCD teams to resolve and manage critical incidents, coordinate escalations, and ensure SLA compliance for technical cases. Proactive Monitoring and Risk Prevention: Continuously monitor system performance and health. Identify potential risks, inefficiencies, and bottlenecks, providing actionable recommendations to mitigate them before they impact the customer. Platform Enablement Consulting: Guide customers on platform best practices, new feature enablement, system architecture, and performance optimization. Deliver tailored recommendations that align with their business roadmap. Strategic Engagement Advocacy: Participate in QBRs and strategic reviews. Provide feedback to internal teams based on customer needs. Influence roadmap decisions through structured customer insights. Requirements 4+ years of experience in enterprise technical support, professional services, or TAM/TA roles (preferably in B2B SaaS). Experience with the Creatio platform or similar low-code/no-code solutions, as well as CRM systems or SaaS platforms, is considered a plus. Hands-on experience with APIs, integrations, SQL (as a language), cloud infrastructure (IIS server, Redis server, SQL server), and performance tuning (monitoring tools e.g. Grafana, Zabbix). Experience in managing technical relationships with enterprise customers. Ability to lead technical workshops, explain complex ideas clearly, and influence outcomes. Advanced English. Proactive, customer-first mindset with strong ownership culture. Professional competencies Platform architecture configuration: Strong understanding of platform architecture, system capabilities, deployment models (cloud/on-prem), and integrations within CRM or enterprise SaaS environments Technical troubleshooting diagnostic skills: Strong analytical mindset for investigating system issues, performance degradation, and cross-component dependencies. Preventive support mindset: Ability to proactively detect trends and prevent escalations using monitoring tools, AI alerts, and system logs. Communication stakeholder engagement: Capable of translating complex technical topics for non-technical stakeholders. Skilled in managing executive relationships. Collaboration cross-functional influence: Experienced in working alongside support, customer success, and product teams to ensure seamless delivery of services. Process and automation orientation: Familiarity with DevOps, CI/CD pipelines, and self-service enablement practices to improve scalability and efficiency. What you should expect from us Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal's LLM inference platform delivers frontier performance https://modal.com/blog/kimi-k3-by-moonshot-now-available-on-modal for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots https://modal.com/blog/gpu-mem-snapshots and multi-cloud substrate https://modal.com/blog/resource-solver. We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area. This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, frontier inference serving, and performance optimization. WHAT YOU'LL WORK ON: Team - Recruit, hire, and grow a high-performing team of engineers; run regular 1:1s focused on coaching, feedback, and career growth - Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work - Foster a culture of ownership, accountability, customer obsession, and continuous improvement Technical and Product Direction - Drive technical and product decisions through design reviews, code reviews, and architectural discussions - Lead our efforts working with customers with novel or frontier workloads so they can be successful running on Modal - Translate learnings from frontier customers into a roadmap for our internal optimization platform and user-facing product, so that gains from optimization and research efforts are accessible to all of our users - Establish standards for reliability and product excellence; ensure the team owns projects end-to-end, from spec through production Cross-Functional Leadership - Partner with business operations and compute strategy on continuing to develop our strategy for compute purchases across a variety of accelerators - Collaborate with GTM on product launches, positioning, and improving win rates for inference opportunities - Help guide the roadmap for teams building the infrastructure platform underlying inference, as well as adjacent product teams YOU MAY BE A FIT IF: - You have 10+ years of industry experience, including 3+ years in a leadership role - You have a track record of building high-performance systems at scale - You have a strong background in cloud infrastructure - You have deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.) NICE-TO-HAVE: - Experience working with LLM inference in production - Familiarity with underlying concepts like engines, kernels, routing, KV cache management, and speculative decoding

Location: Paris; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As our VP of Global Developer Relations, you’ll be the voice and facilitator of Mistral to the developer, scientific, and technical communities. You’ll build and scale a global DevRel strategy that fosters deep engagement, advocacy, and love for Mistral’s models and technology. Your team will build communities and educate, excite, and empower developers to adopt, innovate, and evangelize Mistral’s technology—whether they’re startups, enterprises, researchers, or open-source contributors. You’ll work closely with Product, Research, Engineering, Marketing, Communications, and more to ensure developers have the tools, resources, and inspiration they need to succeed with Mistral. What You Will Do Build a Global Developer Movement - Develop and execute a global DevRel strategy that connects Mistral and our AI platform effectively with developers, scientists, and technologists. - Create authentic, developer-first engagement—focusing on education, inspiration, and community, with great content and AI tools. - Foster a culture of advocacy where developers naturally champion Mistral in their networks, projects, and conversations. Engage and Inspire the Technical Community - Lead high-impact developer engagement initiatives, including: - Technical content (e.g., tutorials, blog posts, videos, documentation) that helps developers get started, optimize, and innovate with Mistral’s models. - Community programs (e.g., hackathons, meetups, AMAs, Discord/Slack communities) that bring together AI builders, researchers, and enthusiasts. - Evangelism & thought leadership (e.g., conference talks, podcasts, technical deep dives) that showcase Mistral’s unique value and capabilities. - Work with Product and Research teams to translate complex AI innovations into accessible, exciting, and actionable insights for developers. Enable Developer Success, particularly for self-service adoption - Build scalable enablement programs (e.g., onboarding guides, SDKs, APIs, sample projects) that reduce friction for developers adopting Mistral’s models. - Create feedback loops between the developer community and Mistral’s Product/Engineering teams to shape the roadmap based on real-world needs. Scale a World-Class DevRel Team - Hire, mentor, and lead a global team of Developer Advocates, Engineers and Evangelists - with particular strength in Europe and San Francisco - Define metrics and KPIs to measure the impact of DevRel (e.g., developer adoption, community growth, engagement, advocacy). - Lead from the front as a fantastic representative of Mistral at events, in social, and in project communities Drive Open Source & Ecosystem Growth - Champion open-source contributions and collaborative innovation around Mistral’s models. - Partner with startups, enterprises, and academic institutions to accelerate adoption and co-innovation. - Identify and nurture key developer influencers, maintainers, and ambassadors who can amplify Mistral’s reach and impact. WHAT WE'RE LOOKING FOR - Proven leadership in Developer Relations, Developer Marketing, or Technical Evangelism for a B2B technology company, preferably in AI, cloud, and open-source. - Deep technical credibility—ability to engage with developers, scientists, and engineers on their terms (e.g., code, research, architecture). - Passion for community building—a track record of growing and nurturing technical communities (e.g., open-source projects, developer forums, hackathons). - Strong storytelling and communication skills—ability to simplify complex concepts and inspire developers through content, talks, and interactions. - Strategic and operational excellence—ability to scale DevRel globally while maintaining a hands-on, authentic approach. - Collaborative mindset—ability to work across Product, Engineering, Marketing, and Sales to align DevRel with Mistral’s broader goals. Bonus Points If You Have - Experience in AI, machine learning, or large language models (LLMs). - Personally contributed meaningfully to open source projects and communities. - Led global DevRel teams in high-growth, competitive markets. - Personal brand or following in the developer or AI community Experience launching and scaling developer-focused products or tools. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Prequel — приложение для обработки фотографий и видео с более чем 85 миллионами скачиваний. Размер команды — 150 человек. Инвестиции есть, но не раскрываются. Помогают с релокацией в Черногорию. Требуемые технологии и навыки: Java, объектно-ориентированное программирование (OOP), Appium, Selenide, REST, HTTP, n8n, Cursor, Cloud Code, Gemini CLI. Требуется свободное владение английским и русским языками.

Задачи: — Проектирование и разработка сервисов с применением принципов DDD. — Формирование культуры тестирования: написание unit/integration тестов, обеспечение необходимого уровня покрытия и тестируемости кода. — Наблюдаемость на стороне кода: метрики, структурные логи и сквозная трассировка запросов в сервисах. — Принятие и защита архитектурных решений в команде (контексты С3-С4 из модели C4), ведение ADR (Architecture Decision Records). — Развитие сделочного контура (заказы и платежи): асинхронное межсервисное взаимодействие, идемпотентность денежных операций, транзакционный outbox, повторные попытки и отложенные срабатывания. Требования: — Опыт коммерческой бэкенд-разработки от 4-х лет на Go или Python. — Владеть вторым языком с первого дня не требуется: вход обеспечивается онбордингом и ревью внутри команды. — Уверенное знание алгоритмов и структур данных, умение применять их для решения практических задач. — Уверенный опыт работы с PostgreSQL: оптимизация запросов, индексы, транзакции, уровни изоляции и блокировки, понимание планов выполнения (EXPLAIN), опыт ведения миграций. — Работа с ORM (GORM) с пониманием генерируемого SQL. — Умение проектировать и реализовывать API (REST, gRPC), понимание версионирования и контрактного тестирования. — Уверенный опыт работы с Linux, Docker, Kubernetes (базовое понимание/опыт написания манифестов), настройка CI/CD пайплайнов. — Глубокое понимание принципов чистого кода, SOLID, DDD, микросервисной архитектуры и паттернов распределенных систем. — Уверенный опыт работы с брокерами сообщений (RabbitMQ, Kafka или аналоги): понимание гарантий доставки, обработка ошибок и dead-letter queues, идемпотентность и транзакционный outbox. — Плюсом: опыт вывода Python-сервисов в продакшен (FastAPI, Django/DRF), опыт платёжного или финансового контура, интеграции с LLM-провайдерами. — Опыт AI-assisted development: использование AI-ассистентов разработки (Cursor, GitHub Copilot, Claude Code, Codex) для декомпозиции задач, подготовки черновиков кода, рефакторинга, написания тестов, поиска дефектов и работы с документацией. — Умение критически проверять результаты AI: валидировать бизнес-логику, соответствие архитектуре и кодстайлу, покрытие тестами, производительность, безопасность и лицензионные риски. — Готовность нести персональную ответственность за код и технические решения, независимо от использования AI-инструментов.

Задачи: - Проектирование и разработка высоконагруженных микросервисных систем с нуля (архитектура, выбор стека, декомпозиция). - Развитие существующего функционала: рефакторинг, оптимизация узких мест, миграция данных. - Интеграция и контрактное взаимодействие: разработка и документирование API (REST/AsyncAPI/gRPC), обеспечение бесшовного взаимодействия между десятками сервисов. - Code Review и менторство: повышение качества кода в команде, внедрение best practices. - Работа с инфраструктурой: участие в настройке CI/CD, оптимизация Docker-образов, взаимодействие с оркестрацией (Kubernetes/Swarm). Требования: - Опыт коммерческой разработки на Python от 4 лет (в идеале от 5 лет), участие в полном жизненном цикле крупных проектов. - Глубокое понимание асинхронности: работа event loop, конкурентность, параллелизм, специфика GIL. - Уверенное знание FastAPI, асинхронного SQLAlchemy, Pydantic. - Экспертный уровень работы с СУБД: написание и оптимизация сложных запросов (EXPLAIN, индексы, партиционирование), проектирование схем данных с учетом нагрузок. - Опыт построения Event-Driven Architecture поверх RabbitMQ или Kafka, понимание гарантий доставки (at-least-once, exactly-once), работа с DLQ. - Инфраструктурный кругозор: уверенная работа с Linux (bash, сеть, процессы), опыт контейнеризации (Docker). - Архитектурное мышление: понимание SOLID, паттернов микросервисной архитектуры (API Gateway, Circuit Breaker, Saga), умение аргументировать технологический выбор. Будет плюсом: - Опыт в финтехе или высоконагруженных проектах. - Навыки настройки мониторинга и логирования (Prometheus, Grafana, ELK). Условия: - Оформление по договору ГПХ или ИП (РФ) с компенсацией налога. - Оплачиваемые отпуска и больничные. - Горизонтальная культура управления и отсутствие микроменеджмента. - В процессе отбора предусмотрено небольшое неоплачиваемое тестовое задание.

Location: New York, New York; San Francisco Bay Area, California Workplace: remote We build production AI systems for enterprises. Financial services, healthcare companies, PE-backed operators. We are a Select-tier partner in Anthropic's Claude Partner Network, among the first integrators selected. Every one of those systems has two stories. What we built, and why it changed the economics of the business that bought it. Most technical marketing tells the first and bores the buyer. We want one person who can tell both, and build things themselves. Not a marketer who uses AI tools. Not an engineer who writes copy. Someone who moves between the two without noticing the border. What you will do: Tell both halves of the story. Sit close to the teams shipping these systems, understand what was actually hard, and translate it into video, writing, and demos that travel. Then go a level up: what the system changed for the operator, what it cost, what it replaced, why the CFO signed. Shape how Provectus is positioned. Not just the case studies but the argument above them. What we stand for, which problems we claim, where we say no. You will have a real hand in that, not a style guide to follow. Build the tools that make the marketing work. A scraper that watches what our market is saying. An agent that drafts case studies from delivery artifacts. A microsite for a launch. A dashboard showing which stories moved pipeline. You write the code. You do not file a ticket and wait. Own channels outright. Write, publish, and measure across LinkedIn, YouTube, X, and whatever channel matters six months from now that does not matter today. Run experiments and kill the ones that lose. Real budget, real autonomy, in exchange for showing your numbers. What we are looking for: You have shipped things people used. A side project, a channel with an audience, a tool, a launch. We care more about what you made than where you worked. You write well, and you have a point of view. You can hold attention for 90 seconds on video and 900 words on a page. You are curious about how companies make money. You can read a business case and find the part that actually matters. You can sit with a CFO or a PE operator and not reach for features. You code. Python or TypeScript, comfortably. You use Claude Code, Cursor, or equivalent every day and you have opinions about them. You have built something agentic that does actual work. You are interested in AI for real. You read the papers, or the people who read the papers, and you have changed your mind about something in the last six months. You are anywhere from your first job to your tenth year. Three levels, one bar: what have you made. If you are early, show us an internship where the bar was high and a portfolio with range. If you are senior, tell us what you built with your own hands in the last 90 days. You are in New York or San Francisco, or you will be. What we offer: Base salary of $80,000 to $180,000 depending on level and location, plus a performance bonus. Direct access to the people building the systems and the executives selling them. Small team, no layers between you and the work. A budget for tools, models, and experiments, with no approval chain under a threshold. Promotion tied to output, not tenure. 401(k) profit sharing plan after probation period Unlimited PTO policy Medical, Visual and Dental insurance How to apply: No cover letter. Send three links: something you wrote, something you built, and something you posted that got a reaction. One paragraph on why the third one worked. Then, two sentences on a company whose positioning you think is wrong and what you would change. Base salary depends on level and location, plus a performance bonus.

Location: New York, New York; San Francisco Bay Area, California Workplace: remote We build production AI systems for enterprises. Financial services, healthcare companies, PE-backed operators. We are a Select-tier partner in Anthropic's Claude Partner Network, among the first integrators selected. Every one of those systems has two stories. What we built, and why it changed the economics of the business that bought it. Most technical marketing tells the first and bores the buyer. We want one person who can tell both, and build things themselves. Not a marketer who uses AI tools. Not an engineer who writes copy. Someone who moves between the two without noticing the border. What you will do: Tell both halves of the story. Sit close to the teams shipping these systems, understand what was actually hard, and translate it into video, writing, and demos that travel. Then go a level up: what the system changed for the operator, what it cost, what it replaced, why the CFO signed. Shape how Provectus is positioned. Not just the case studies but the argument above them. What we stand for, which problems we claim, where we say no. You will have a real hand in that, not a style guide to follow. Build the tools that make the marketing work. A scraper that watches what our market is saying. An agent that drafts case studies from delivery artifacts. A microsite for a launch. A dashboard showing which stories moved pipeline. You write the code. You do not file a ticket and wait. Own channels outright. Write, publish, and measure across LinkedIn, YouTube, X, and whatever channel matters six months from now that does not matter today. Run experiments and kill the ones that lose. Real budget, real autonomy, in exchange for showing your numbers. What we are looking for: You have shipped things people used. A side project, a channel with an audience, a tool, a launch. We care more about what you made than where you worked. You write well, and you have a point of view. You can hold attention for 90 seconds on video and 900 words on a page. You are curious about how companies make money. You can read a business case and find the part that actually matters. You can sit with a CFO or a PE operator and not reach for features. You code. Python or TypeScript, comfortably. You use Claude Code, Cursor, or equivalent every day and you have opinions about them. You have built something agentic that does actual work. You are interested in AI for real. You read the papers, or the people who read the papers, and you have changed your mind about something in the last six months. You are anywhere from your first job to your tenth year. Three levels, one bar: what have you made. If you are early, show us an internship where the bar was high and a portfolio with range. If you are senior, tell us what you built with your own hands in the last 90 days. You are in New York or San Francisco, or you will be. What we offer: Base salary of $80,000 to $180,000 depending on level and location, plus a performance bonus. Direct access to the people building the systems and the executives selling them. Small team, no layers between you and the work. A budget for tools, models, and experiments, with no approval chain under a threshold. Promotion tied to output, not tenure. 401(k) profit sharing plan after probation period Unlimited PTO policy Medical, Visual and Dental insurance How to apply: No cover letter. Send three links: something you wrote, something you built, and something you posted that got a reaction. One paragraph on why the third one worked. Then, two sentences on a company whose positioning you think is wrong and what you would change. Base salary depends on level and location, plus a performance bonus.

Задачи: – Участвовать в планировании и проектировании новых функций мобильного приложения; – Проектировать архитектуру фич с учётом масштабируемости, отказоустойчивости и мониторинга; – Поддерживать надёжность критического пути, оперативно разбирать инциденты; – Сопровождать фичи после запуска: метрики, логирование, наблюдаемость, аналитика; – Работать в кросс-функциональной команде, состоящей из техлидов различных функций, разработчиков и QA. Требования: – Хотите делать качественный продукт, а не просто писать код; – Глубоко знаете Android SDK, включая фреймворки фрагментов и Jetpack Compose; – Уверенно владеете Kotlin, включая Kotlin Coroutines, и умеете эффективно их использовать; – Умеете организовывать слоистую архитектуру в приложении, понимаете паттерн MVVM, знаете как эффективно разбивать приложение на модули; – Умеете декомпозировать задачи и давать реалистичные оценки; – Своевременно подсвечиваете риски и держите процесс прозрачным для команды; – Доводите фичу до результата: релиз, фича-тоглы, мониторинг, проверка эффекта по метрикам; – Умеете работать в команде, аргументировать решения и брать инициативу; – Планируете свою работу так, чтобы у QA оставалось время на тестирование. Будет плюсом: – Пишете тесты (например, unit, UI или скриншот-тесты); – Умеете настраивать CI/CD; – Знаете, как работать с фича-тоглами, A/B-тестами и продуктовой аналитикой; – Используете AI-инструменты (Cursor / Copilot / Claude Code) на практике.

Компания Top Selection приглашает на позицию Senior Python Developer для работы в финансовом секторе (банк) в формате полного рабочего дня удаленно из России, Беларуси или Казахстана. Оформление предполагается через ИП, заработная плата составляет 250-270 тысяч рублей в месяц до вычета налогов. Кандидат должен иметь не менее 4 лет коммерческого опыта разработки на Python, владеть хотя бы одним из фреймворков FastAPI или Litestar (Starlite), а также иметь опыт работы с AsyncIO, concurrency и multiprocessing. Требуется знание Kafka и Redis PubSub, опыт работы с PostgreSQL (с использованием sqlalchemy) и Redis. Важным является понимание и опыт реализации наблюдаемости систем (трейсинг, логи, метрики). Опыт работы с Event-Driven архитектурами, включая проектирование и разработку таких систем с нуля, будет преимуществом, как и знание других архитектурных подходов. Необходимо умение работать с Git, Docker и CI/CD, а также опыт тестирования собственных решений без поддержки команды тестирования. Дополнительным плюсом считается опыт работы с Coding Agents.