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Location: India Workplace: remote Overview   We are seeking a Lead SDET (Software Development Engineer in Test) to provide end-to-end technical governance across all QA layers - frontend, middleware, and backend - for a complex, multi-layered onboarding platform. This role owns the architecture of API contract testing and the data modeling of complex entity relationships (e.g., hierarchical/parent-child style structures), while ensuring that quality assumptions made at one layer (such as client-side validation) are independently verified at every downstream layer rather than trusted at face value. The ideal candidate combines strong technical leadership with the ability to set and enforce delivery governance across cross-functional teams.   Main Responsibilities   • Provide technical governance across frontend, middleware, and backend testing layers   • Establish and enforce QA delivery standards, evidence requirements, review processes, and quality gates   • Review frontend constraint dictionaries and FSM/state-model outputs for completeness and consistency   • Review API schema reconstructions, network evidence, and tracer replay outputs for technical quality and traceability   • Coordinate with QA Analysts, SDETs, and Test Operations Associates to align technical execution with delivery timelines   • Review test architecture decisions, validation approaches, and coverage strategies   • Coordinate dependency resolution, evidence rework, and cross-layer reconciliation throughout the engagement   • Act as the escalation point for cross-layer technical discrepancies and evidence-quality issues   • Compile and quality-check the raw technical evidence dossiers produced by the workstreams   • Identify evidence gaps, inconsistencies, or areas requiring rework before handoff to client stakeholders   • Report on delivery health, technical risks, evidence quality, dependencies, and unresolved gaps   • Prepare the technical evidence package for handoff to the client team responsible for final modelling and logic-gap assessment   • Support technical readout preparation by ensuring that findings are traceable to empirical evidence   Project Details   • Title: Lead SDET • Start Date: 26th October • Duration: 4 Months • Location: India (Remote) • Job Type: Contractual (with the possibility of a Full-time employment extension based on performance and project needs)   Qualifications   • Proven experience of 8+ years in a QA leadership role spanning multiple testing layers (frontend, middleware, backend)   • Demonstrated expertise in API contract testing architecture and governance   • Practical experience with knowledge graph or entity-relationship data modeling and its application to test/data traceability   • Strong understanding of layered system architectures and the importance of independently verifying quality at each layer rather than relying on upstream assumptions   • Strong track record of technical delivery governance, including setting standards and quality gates   • Excellent cross-functional leadership and stakeholder communication skills   • Deep technical grounding across QA disciplines (manual, automation, systems-level testing) to credibly guide teams at every layer   • Experience mentoring or managing SDETs and QA Analysts   • Experience leading complex multi-week technical QA, API validation, or security-assessment engagements is strongly preferred   • Experience establishing evidence/traceability models across complex technical workflows is preferred   • Familiarity with knowledge graphs, entity-relationship models, or structured technical dependency/evidence modeling is preferred; deep knowledge-graph engineering expertise is not required   • Ability to synthesize technical evidence into concise stakeholder-ready findings and handoff materials Why join Welo Data?   ✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.   🌱 Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.   🌍 Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.     We can’t wait to meet you!     About Welo Data   Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.    At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Москва Команда занимается разработкой NLP-моделей и решений на основе LLM для операционных рисков. Решаем задачи по построению AI-агентов и мультиагентных систем. Примеры: * система гардрейлов (в том числе на Jev-like моделях) для защиты LLM и AI-агентов Сбера от промпт-атак и джейлбрейков * агентная память банка на базе темпорального графа знаний, учитывающего версии и изменения внутренней документации во времени * Harness, который автономно превращает DS-код в продакшн-сервис — от сборки проекта по стандарту и интеграций до деплоя на стенды и тестирования * AI-агенты для оценки рисков компаний экосистемы Сбера по внутренним документам, новостям, отчетности и описанию бизнес-процессов * мультиагентная система по анализу репозиториев кода на уязвимости бизнес-логики и сверки с требованиями * AI-агент DataEngineer для автономного анализа данных, поиска ошибок и аномалий, создания проверок качества данных, создания выгрузок и витрин. Обязанности * разработка PoC и MVP AI-агентов с использованием фреймворков для работы с LLM * адаптация и дообучение LLM на внутренних и внешних данных (SFT, LoRA, DPO, GRPO) * участие в выводе AI-агентов в продакшн, их интеграции и мониторинге качества * написание качественного кода и обсуждение технических решений с командой. Требования * неоконченное высшее техническое образование с хорошей подготовкой в области математики и алгоритмов * знание Python, статистики и ML/DL-стека * опыт проектирования и обучения нейросетей: от CNN/RNN до трансформеров * опыт построения RAG-систем (классический RAG, GraphRAG, Agentic RAG) * опыт разработки автономных AI-агентов (LangChain, LangGraph, Deep Agents) * знание классических алгоритмов и структур данных, принципов ООП и паттернов проектирования * умение писать чистый и поддерживаемый код (Clean Architecture, SOLID) * опыт работы с Git. Преимуществом будет: * опыт работы с FastAPI, Docker, vLLM, Unsloth, Langfuse * успехи в соревнованиях (например, Kaggle Expert+ или призовые места на хакатонах) * вклад в open-source проекты, публикация моделей и датасетов на Hugging Face * погружённость в тренды индустрии, интерес к свежим статьям и новым инструментам * знание других языков программирования (например, C++, Java). Условия * оплачиваемая стажировка * возможность выбрать удобный график – офис или гибрид (локация: м. Кутузовская) * корпоративный спортзал и зоны отдыха.

Location: Cyprus; Georgia; Poland; Spain; Serbia We are looking for a strong Tech Lead with deep software engineering and backend expertise to lead a small engineering team and take ownership of technical decisions, architecture, and engineering quality. This is a hands-on role — you will drive the technical direction of the team while staying deeply involved in production development, architecture, and solving complex engineering challenges. You will lead a small cross-functional team consisting of 3 Software Engineers and 2 QA Engineers. Our core backend stack is Go, so we are looking for someone with strong commercial Golang experience and a solid background in building scalable, distributed systems. We also expect you to actively leverage AI tools to improve engineering quality, productivity, and development velocity. Responsibilities Lead the technical direction of the team and own key architecture decisions. Design and develop scalable backend services and APIs using Go. Stay hands-on with production code and solve complex technical challenges. Design reliable, scalable, and maintainable distributed systems. Lead code reviews and maintain high engineering standards across the team. Improve system performance, reliability, observability, and scalability. Identify technical risks, bottlenecks, and areas for improvement. Mentor Software Engineers and support their technical growth. Help increase team productivity and improve engineering efficiency. Collaborate closely with Product, QA, and other engineering teams. Continuously improve development processes, engineering practices, and delivery quality. Actively use AI-powered development tools to accelerate engineering workflows and improve code quality. Requirements 7+ years of software engineering experience. Strong commercial experience with Go (Golang). Strong backend and software engineering background. Experience designing scalable architectures and distributed systems. Strong understanding of microservices architecture and asynchronous communication patterns. Solid experience with PostgreSQL, Redis, and REST APIs. Experience with message brokers such as RabbitMQ, Kafka, or similar. Experience with Docker and CI/CD pipelines. Experience leading engineers and driving technical and architectural decisions. Strong hands-on approach — you are comfortable staying close to the code and contributing to production development. Strong understanding of engineering best practices, code quality, testing, and system reliability. Experience using AI development tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development. Nice to Have Experience with Kubernetes and GitOps. Experience building high-load or high-availability systems. Experience with event-driven architectures. Experience with Web3, blockchain, fintech, or other transaction-heavy products. Experience integrating LLM APIs or AI capabilities into production products. Experience with TypeScript / Node.js or other backend technologies. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Mexico; Argentina; Colombia; Honduras; El Salvador We are looking for an experienced Tekla Steel Detailer to support a U.S. steel fabrication company specializing in structural steel, custom stairs, railings, and architectural metalwork. This remote position is ideal for someone who understands how steel is fabricated and installed and can translate architectural and structural drawings into accurate Tekla models and complete shop drawing packages. Experience detailing stairs, railings, and miscellaneous steel is particularly important, along with the ability to work independently and communicate effectively with a U.S. team. Responsibilities Develop detailed 3D models in Tekla Structures for custom stairs, railings, landings, brackets, structural framing, and related steel components. Produce shop drawings, assembly drawings, single-part drawings, erection drawings, and material lists. Interpret architectural and structural drawings, project specifications, and field measurements. Detail connections, plates, anchors, bolts, and welds in accordance with approved engineering information and fabrication standards. Coordinate steel components with adjacent materials, including glass, wood, and concrete. Identify missing information or conflicting dimensions and prepare clear requests for information. Incorporate approval comments, field updates, and design revisions into models and drawings. Review deliverables for accuracy, completeness, and fabrication and installation requirements. Collaborate with project managers, engineers, and fabrication teams throughout the detailing process. Requirements At least 4 years of steel detailing experience , with strong proficiency in Tekla Structures . Demonstrated experience detailing steel stairs, railings, and miscellaneous metals . Previous experience supporting U.S. steel fabrication or construction projects . Ability to independently develop fabrication drawing packages from architectural and structural documents. Practical understanding of steel fabrication, connections, welding symbols, tolerances, and installation considerations. Familiarity with imperial measurements and U.S. steel detailing conventions. Strong written and spoken English. Ability to manage revisions, meet deadlines, and coordinate with a team during U.S. Eastern Time business hours. A portfolio showing relevant Tekla models and shop drawings. Preferred Qualifications Experience with custom architectural steelwork, exposed steel, and high-end residential projects. Experience detailing structural framing, including beams, columns, and bracing. Experience with stainless steel, aluminum, or other architectural metals. Familiarity with AutoCAD and producing CNC/NC or DXF files for fabrication. Experience working directly with steel fabricators and addressing shop or field questions. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: São Paulo, Brazil; Belo Horizonte, Brazil; Curitiba, Brazil; Rio de Janeiro, Brazil; Porto Alegre, Brazil Top 3 Reasons To Join Us International Environment 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role A cloud technology-focused individual providing design and delivery expertise for forward-looking solutions in a modern cloud-based insurance environment. The successful candidate will work directly with clients, assessing their needs, designing tailored solutions, and supporting business initiatives in alignment with defined roadmaps. This role is technology agnostic but emphasizes solutions leveraging heavily on AWS and/or GCP environments, incorporating elements of open-source, PaaS, and SaaS components. What You Will Do Engage with clients to understand their requirements and advise on appropriate solution architectures Collaborate with Product Managers to ensure alignment between client needs and solution design Work closely with Delivery Managers to oversee the architecture approach during solution deployment Explore a range of possibilities and creative alternatives to identify the most effective solutions Ensure that designed solutions are implemented in accordance with client expectations and company standards Assist in identifying, specifying, and selecting off-the-shelf components to meet client needs Provide ongoing support and guidance to clients throughout the implementation process Maintain awareness of industry trends and emerging technologies to continuously improve solutions Required Skills and Knowledge At least 6 years of professional experience in solution architecture design and delivery roles in the insurance vertical with exposure to multiple lines of business Experienced in delivering cloud-based technology product solutions in an enterprise environment Ability to assist in defining and socialising a product/enterprise roadmap Ability to translate client requirements into actionable steps and solution architectures Understand business architecture models & patterns Has designed and implemented innovative and creative solutions to business problems Can think "outside the box", but also be able to understand the business constraints that lead to “in the box” approaches Understand the optimum approaches for cloud-based applications with high availability and highly scalable solutions Experienced in designing solutions in a Relational DB and noSQL environment Experienced in designing for API & Micro-services centric environments Demonstrated capability to self-learn new technology trends and approaches Ideally has experience or understanding of the benefits of low-code platforms While the Solution Architect is not expected to build the solutions experience of multiple development languages & various DB engines will be advantageous Exposure to authentication and authorisation concepts (SSO, SAML integration, identity federation etc) Excellent communication skills, both written and verbal Required Competencies Must be equally comfortable discussing the solution strategies and enterprise roadmap with people at all levels of our organisation and CxO to project-level teams in our clients Strong analytical skills & ability to understand and collect business requirements from corporate clients. Strong ability to build the value proposition and solution documents, and in some cases, the business case for a corporate client. Relationship management experience with corporate clients. Excellent organisational, interpersonal & communication skills and an ability to engage audiences Excellent decision-making and judgment skills Understanding of insurance business processes across all areas and at least two lines of business Maintains direction and focus through proactive planning and organized approaches to work Certification in one architecture discipline (TOGAF, Zachman, etc.) is a distinct advantage Certification in one cloud environment is a distinct advantage with a broad knowledge and experience of the cloud platform’s capabilities A high proficiency in working in English as your primary language Why You'll Love Working Here Paid Annual Leaves Annual Performance Bonus Health Insurance Remote Work Allowance Anniversary Bonus Stock Options (after 6 months) Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Toronto, Canada; Vancouver, Canada; Calgary, Canada; Québec City, Canada Top 3 Reasons To Join Us Competitive Salary International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform. What You Will Do Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team. Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices. Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience. Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience. Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality. Investigate and promptly address bugs to uphold platform reliability. Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations. Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative. Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows. Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives. What We Need Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications. Minimum 2 years in a lead/manager role, able to guide and ensure development of teams Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications Experience with microservices and/or clean architecture Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code Experience with unit, integration and function testing using front-end and back-end testing libraries Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations Demonstrated experience in performance optimization for high-traffic web applications Experience with container technologies like docker and good understanding of cloud infrastructure and solutions. Experience with agile development methodologies and collaborating with cross-functional teams Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds A passion for staying updated with the latest trends, technologies, and best practices in software development Why You'll Love Working Here International Environment Competitive remuneration package 15 Days Annual Leave Annual Performance Bonus Stock Options after 6 months Company activities and events CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Yerevan, Armenia We are looking for an experienced Level Artist to join our art team. As a Level Artist, you will have the opportunity to shape immersive and visually captivating game environments. Your role will involve closely following references, and art direction to create levels that align with the game’s atmosphere, story, and style. Having a keen eye for detail and the ability to work independently, you will take the initiative to create a visually appealing world. Your creative input and artistic expertise will contribute to the overall visual excellence of the games. Responsibilities : Compose and dress environments to support gameplay readability, player navigation, and visual storytelling Maintain visual quality and consistency of levels according to the project's quality bar and art direction Gather and organize reference materials for environment assets Follow studio pipelines, naming conventions, and asset management guidelines Assemble and modify modular environment assets to build architectural and environmental spaces Prepare visual breakdowns, reference boards, and asset lists when required Act as production and artistic support for the Lead Level Artist Integrate environment assets and textures into the level Optimize levels for performance in collaboration with Tech Art and Design (draw calls, LODs, streaming) Set up asset properties related to visuals and performance (LODs, collisions, materials) Support bug fixing and visual polish throughout production and testing Verify level quality in engine and make necessary improvements Requirements Understanding of architectural and natural environment composition, scale, and structure Knowledge of gameplay readability, player navigation, and visual guidance principles Experience optimizing levels for real-time engines (LOD, draw calls, streaming,etc.) Strong modeling skills for modular environment assets Experience with Maya and/or Blender Experience with material blending and vertex painting systems Proficiency in Unreal Engine or similar real-time engines Experience with Substance Painter/Designer Understanding of physically based rendering (PBR) workflows and material standards Strong eye for detail and consistency with the project’s art style Ability to collaborate effectively in a multidisciplinary team Nice to have: Knowledge of material optimization techniques for real-time engines Basic understanding of lighting principles and experience adjusting lighting in real-time engines Experience with procedural tools such as Houdini is a plus Experience working on shipped titles Benefits Working with an international team of world-class professionals on exciting and challenging projects; Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events; Medical Care package; Sensibly flexible working hours; Breakfasts, snacks and fruits available during the day, tea and coffee machines; Friendly team environment; Additional benefits – care bonus to cover health, educational and safety needs.

Location: Belgrade, Serbia We are looking for an experienced Level Artist to join our art team. As a Level Artist, you will have the opportunity to shape immersive and visually captivating game environments. Your role will involve closely following references, and art direction to create levels that align with the game’s atmosphere, story, and style. Having a keen eye for detail and the ability to work independently, you will take the initiative to create a visually appealing world. Your creative input and artistic expertise will contribute to the overall visual excellence of the games. Responsibilities Compose and dress environments to support gameplay readability, player navigation, and visual storytelling Maintain visual quality and consistency of levels according to the project's quality bar and art direction Gather and organize reference materials for environment assets Follow studio pipelines, naming conventions, and asset management guidelines Assemble and modify modular environment assets to build architectural and environmental spaces Prepare visual breakdowns, reference boards, and asset lists when required Act as production and artistic support for the Lead Level Artist Integrate environment assets and textures into the level Optimize levels for performance in collaboration with Tech Art and Design (draw calls, LODs, streaming) Set up asset properties related to visuals and performance (LODs, collisions, materials) Support bug fixing and visual polish throughout production and testing, Verify level quality in engine and make necessary improvements Requirements Understanding of architectural and natural environment composition, scale, and structure Knowledge of gameplay readability, player navigation, and visual guidance principles Experience optimizing levels for real-time engines (LOD, draw calls, streaming,etc.) Strong modeling skills for modular environment assets Experience with Maya and/or Blender Experience with material blending and vertex painting systems Proficiency in Unreal Engine or similar real-time engines Experience with Substance Painter/Designer Understanding of physically based rendering (PBR) workflows and material standards Strong eye for detail and consistency with the project’s art style Ability to collaborate effectively in a multidisciplinary team Nice to have: Knowledge of material optimization techniques for real-time engines Basic understanding of lighting principles and experience adjusting lighting in real-time engines Experience with procedural tools such as Houdini is a plus Experience working on shipped titles Benefits Working with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events Medical Care package Sensibly flexible working hours Breakfasts, snacks and fruits available during the day, tea and coffee machines

Задачи: — Создание микросервисов; — Создание нового функционала и рефакторинг легаси кода; — Работа с очередями; — Оптимизация производительности. Требования: — Общий стаж коммерческой разработки на PHP: от 7 лет; — Опыт работы коммерческой разработки на Symfony: от 5 лет; — Уверенное написание SQL-запросов без использования ORM, понимание работы JOIN, оконных функций и CTE/подзапросов; — На момент рассмотрения должно пройти не более 3-х лет с момента последнего опыта с Symfony; — Обязательные hard skills: PHP, Generics, Testing (PHPUnit); — Framework Symfony, DB SQL (MySQL / PostgreSQL); — Monitoring (Logs, Kibana, Sentry, Grafana); — Git (Gitlab), Docker; — DB NoSQL (MongoDb / Redis); — Brokers (RabbitMQ / Kafka); — Опциональные: Gitlab CI, RoadRunner / Swoole, Architecture; — Опыт работы с платежными шлюзами и агрегаторами, а также знание их особенностей и возможностей; — Опыт работы с API и интеграцией различных систем; — Опыт работы с разнообразными видами платежей, такими как карты, электронные кошельки, мобильные платежи и другие; — Опыт работы со средствами обеспечения безопасности платежей, такими как шифрование данных и т.д. Условия: — Формат работы: офисный, гибридный, удаленный - на ваш выбор; — Белая заработная плата, зависящая от вашего запроса, скиллов и опыта; — Реферальная программа за успешную рекомендацию кандидата; — Оплачиваемый отпуск; — Корпоративное питание: завтраки и обеды; — Отсутствие бюрократии, вопросы решаются оперативно, без многочисленных согласований; — Корпоративные скидки на занятия по английскому языку; — Доп 4 day-off в год; — Поездки на ИТ-конференции, митапы, учебные курсы за счет компании; — Большая высококвалифицированная команда, к которой всегда можно обратиться.

Команда занимается разработкой NLP-моделей и решений на основе LLM для операционных рисков. Решаем задачи по построению AI-агентов и мультиагентных систем. Примеры: система гардрейлов (в том числе на Jev-like моделях) для защиты LLM и AI-агентов Сбера от промпт-атак и джейлбрейков агентная память банка на базе темпорального графа знаний, учитывающего версии и изменения внутренней документации во времени Harness, который автономно превращает DS-код в продакшн-сервис — от сборки проекта по стандарту и интеграций до деплоя на стенды и тестирования AI-агенты для оценки рисков компаний экосистемы Сбера по внутренним документам, новостям, отчетности и описанию бизнес-процессов мультиагентная система по анализу репозиториев кода на уязвимости бизнес-логики и сверки с требованиями AI-агент DataEngineer для автономного анализа данных, поиска ошибок и аномалий, создания проверок качества данных, создания выгрузок и витрин. Задачи: — разработка PoC и MVP AI-агентов с использованием фреймворков для работы с LLM — адаптация и дообучение LLM на внутренних и внешних данных (SFT, LoRA, DPO, GRPO) — участие в выводе AI-агентов в продакшн, их интеграции и мониторинге качества — написание качественного кода и обсуждение технических решений с командой. Требования: — неоконченное высшее техническое образование с хорошей подготовкой в области математики и алгоритмов — знание Python, статистики и ML/DL-стека — опыт проектирования и обучения нейросетей: от CNN/RNN до трансформеров — опыт построения RAG-систем (классический RAG, GraphRAG, Agentic RAG) — опыт разработки автономных AI-агентов (LangChain, LangGraph, Deep Agents) — знание классических алгоритмов и структур данных, принципов ООП и паттернов проектирования — умение писать чистый и поддерживаемый код (Clean Architecture, SOLID) — опыт работы с Git. Преимуществом будет: — опыт работы с FastAPI, Docker, vLLM, Unsloth, Langfuse — успехи в соревнованиях (например, Kaggle Expert+ или призовые места на хакатонах) — вклад в open-source проекты, публикация моделей и датасетов на Hugging Face — погружённость в тренды индустрии, интерес к свежим статьям и новым инструментам — знание других языков программирования (например, C++, Java). Условия: — оплачиваемая стажировка — возможность выбрать удобный график – офис или гибрид (локация: м. Кутузовская) — корпоративный спортзал и зоны отдыха.

About the Role We are looking for a Staff Compensation & Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics. In this role, you will lead the architecture, modeling, and execution of our global compensation programs while leveraging modern AI platforms and scalable data pipelines. As a Staff level technical authority, you will drive business-critical compensation initiatives—from merit cycles and pay modeling to global equity strategy. You will partner with Finance, Legal, and Stock Administration on equity program design and governance, collaborate closely with Systems Engineering on Workday Compensation design and testing, utilize Carta for equity analytics, and leverage enterprise Generative AI platforms (Claude, ChatGPT) to accelerate data synthesis, narrative reporting, and predictive analytics. This is a full-time remote position based in Costa Rica. What You’ll Do Strategic Compensation Analytics & AI-Assisted Modeling — Architect Compensation Models: Build and maintain complex models for salary band creation, market pricing, geographic differentials, and merit/promotion budget allocation using quantitative techniques and advanced spreadsheet/coding frameworks. — AI-Augmented Data Analytics: Leverage enterprise AI platforms (e.g., Claude, ChatGPT) to conduct exploratory analysis on large workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate repetitive data transformation workflows. — Executive & Incentive Pay: Partner with leadership to model executive total compensation, short-term incentive (STI) performance metrics, and long-term incentive (LTI) grant strategies, utilizing AI tools to generate executive-level narrative summaries and scenario analyses. Strategic Equity Strategy & Global Program Design — Global Equity Design & Modeling: Partner with stakeholders to design and model strategic global equity frameworks, including refresh plan design, grant guidelines, vesting schedules, and budget allocations. — Stock Administration Partnership: Work in tandem with Stock Administration to establish seamless workflows for equity grant approvals, board consent materials, vest schedules, and data reconciliation between equity systems and core HRIS. — Equity Systems & Analytics (Carta): Utilize Carta and internal analytics tools to model wealth creation scenarios and executive equity usage to inform strategic compensation decisions. Workday Partnership & Data Infrastructure — Workday Compensation Design & Rollouts: Partner closely with Systems Engineering to co-design, test, administer, and execute Workday Compensation and Advanced Compensation workflows, eligibility rules, and global merit cycle rollouts. — Data Integration & Pipeline Development: Collaborate with Systems Engineering to ensure seamless data flows between Workday, payroll systems, external survey management platforms, and analytical databases. — Custom Reporting & BI: Design, build, and audit complex Workday custom reports, matrix reports, and calculated fields to deliver real-time total rewards insights to business leaders. — Use BigQuery for querying, analyzing, and transforming large-scale datasets. Enablement, Change Management & Training — Program Enablement & Change Management: Apply structured change management principles to drive adoption of total rewards initiatives, merit updates, pay transparency changes, and compensation program rollouts. — Communications & Collateral Creation: Develop comprehensive, clear, and engaging communications materials—including manager guidebooks, FAQ docs, slide decks, and video walk-throughs—tailored to various audiences. — Stakeholder Training: Design and facilitate targeted training sessions for managers, Talent Acquisition (TA), HR Business Partners (HRBPs), and employees to build compensation and equity literacy. Skills We’re Looking for Experience — 6+ years of progressive experience in compensation analysis, equity strategy, or People Analytics, with demonstrable mastery at a senior/principal individual contributor level. — Proven track record of designing and modeling global compensation and equity programs in partnership with Finance in a fast-paced or scaling technology environment. — Demonstrated experience with change management and driving enablement programs, including producing training collateral and leading educational workshops for cross-functional teams. Technical & System Proficiency — Workday Compensation: Hands-on experience working directly with Workday Core Compensation and Advanced Compensation modules is required. — Carta & Equity Management: Hands-on experience or strong familiarity with Carta for cap table analytics, grant administration alignment, and LTI modeling is strongly preferred. — AI Platforms & Prompt Engineering: Experience applying Large Language Model (LLM) tools such as Claude, ChatGPT, or Microsoft Copilot to data analysis, code generation (SQL/Python/Excel formulas), or report generation is strongly preferred. — Advanced Analytics & BI: Advanced proficiency in Excel, Google Suite (VBA/macros, dynamic arrays, complex formulas) is required. — Experience with BI and BigQuery tools for data modeling is a strong plus. Core Competencies — Cross-Functional & Executive Alignment: Exceptional ability to build strong cross-functional partnerships across Finance, Legal, Stock Admin, and Systems Engineering to deliver complex total rewards solutions. — Quantitative Mastery: Deep familiarity with statistical techniques (e.g., regression analysis, distribution metrics) applied to compensation and equity datasets. — Business & Legal Acumen: Solid understanding of core compensation and equity design concepts. Preferred Education & Certifications — Bachelor’s or Master’s degree in Data Analytics, Finance, Human Resources, or a related field. — CCP (Certified Compensation Professional) is a plus. 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 offering personalized care and resources such as therapy, coaching, and mindfulness exercises for employees and dependents. This is a full-time remote position based in Costa Rica.

Задачи: — Design and implement high-quality native mobile SDKs that enable developers to integrate embedded wallet functionality into their applications, with a strong focus on API ergonomics, performance, and reliability — Own SDK features end-to-end: from API design and architecture, through implementation and testing, to release, versioning, and developer documentation — Build and maintain secure, reliable SDK components for wallet operations, including cryptographic operations, blockchain interactions, and security-sensitive flows — Define and evolve the SDK architecture to support long-term maintainability, backward compatibility, and adoption across diverse customer applications — Build sample applications and demos that showcase SDK capabilities and serve as integration references for customers — Create clear, comprehensive SDK documentation and integration guides — Work with developer relations and support teams to address customer integration challenges — Raise the bar for quality and operational excellence by establishing best practices around testing, observability, releases, and code health Требования: — 5+ years of software engineering experience, with deep focus on mobile development and shipping production-grade SDKs — Demonstrated track record of building and shipping high-quality code, with work you can point to and discuss in depth — Strong hands-on experience with iOS (Swift) and/or Android (Kotlin); experience with React Native or other cross-platform frameworks — Experience building mobile SDKs or shared libraries, including API design, versioning, packaging, and long-term maintenance across platforms — Experience with blockchain-enabled mobile systems, including wallet flows, signing, and on-chain interactions — Experience working on security-sensitive mobile software, such as key management, secure storage, cryptography, or financial products — Strong grasp of mobile engineering best practices, including CI/CD, automated testing, release management, and observability Условия: — Remote role in a distributed team; preference for candidates in the Americas time zone

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Engineering the future of customer support — at global scale 🌍 We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction. As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them. Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale. About the role We’re now looking for a Senior Backend Engineer (Golang) to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day. What you'll be doing Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Lead and contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Requirements 7+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. 2+ years of production experience in Golang , with the ability to mentor others and drive best practices across the team. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Previous on-call experience , with a pragmatic approach to reliability and incident management. Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do: — Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance — Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability — Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns — Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow — Optimize performance, reliability, and cost of the ML platform — Evaluate and integrate emerging Databricks features — Stay ahead of the curve by engaging with the latest developments in machine learning and AI — Serve as senior ML technical advisor to Faire’s data science and production engineering teams — Represent Faire at ML conferences and meetups — Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes: — 10-12 years of experience building and improving large-scale ML or data platforms — A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field — Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization — Proven ability to design systems that support multiple data science teams and production workloads — Strong background in distributed systems, ML infrastructure, and cloud architecture — Demonstrated technical leadership across teams and orgs; ability to influence without authority — Experience integrating LLM workflows into enterprise platforms is a plus — Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack: Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following: — Languages: Python, SQL, Kotlin — ML Frameworks: PyTorch, PySpark, MLFlow — Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL — Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform — Generative AI: Claude Sonnet 4.5, ChatGPT 5.2 Conditions: Hybrid work format with office presence 3 days per week (Tuesdays, Thursdays, and a flex day) and flexibility to work remotely up to 4 weeks per year. Remote work possible for candidates located in Ontario, Canada. Salary Range: $248,000 to $341,000 per year, eligible for equity and benefits. Actual base pay depends on skills, experience, market demands, and location. Base pay range subject to change.

Dremio is a unified lakehouse platform for self-service analytics and AI, serving global enterprises such as Maersk, Amazon, Regeneron, NetApp, and S&P Global. The platform supports cloud, hybrid, and on-prem lakehouses to enable data mesh, data warehouse migration, data virtualization, and unified data access use cases. It is based on open source technologies including Apache Iceberg and Apache Arrow, providing an open lakehouse architecture for fast insights and platform flexibility at reduced cost. Dremio values high standards in People, Thinking, and Action. Employees, called Gnarlies, communicate clearly, drive accountability, respect each other, confront facts, focus on results, and operate with urgency. The company supports workforce diversity and is an equal opportunity employer, not discriminating based on race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, disability, or other unlawful factors. Accommodations for individuals with disabilities are provided upon request during application and interview processes. Dremio emphasizes trust and transparency, warning candidates about scam attempts using fake domains. Official communications come only from @dremio.com domains. The company is not responsible for fees related to unsolicited resumes and does not pay fees to third-party agencies without signed agreements. Candidates interested in future opportunities can express their areas and roles of interest to be notified when matching positions become available.

About Ping Identity: At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it. Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear. While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work. We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management. Responsibilities: — Serve as a named resource and partner for customer organizations. — Build and maintain trusting relationships, acting as a technical resource for day-to-day operational needs. — Act as a point of contact for any major customer incidents, managing expectations and communications through resolution. — Analyze customer data such as support cases, survey responses, and renewal behaviors to identify technical trends and risks. — Act as the voice of the customer internally to advocate for their needs. — Monitor and identify adoption and utilization trends, providing recommendations based on risk and customer needs. — Provide proactive guidance on Ping's features based on the customer's interests and business objectives. — Occasionally travel to customer sites and be available for some after-hours or weekend coverage as needed. — Willingness to be a hands-on contributor. Qualifications: — Minimum of 4 years of related experience in Customer Success / Experience. — Experience in consulting and implementation of IT systems, preferably cloud service and/or identity management. — Strong technical aptitude to learn customer use cases and architectural requirements for Ping solutions. — Naturally curious and proactive approach to uncovering adoption blockers and risks. — Experience with SFDC, Gainsight, or equivalent CRM systems. — Solid technical understanding of Cloud Solutions. Salary Range: $76,000 - $95,000 + variable pay In accordance with Colorado’s Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities. Life at Ping: — Flexible, collaborative work environment. — Growing company with innovative, can-do startup values. — Employee Resource Groups creating a sense of belonging. — Regular company and team bonding events. — Competitive benefits and perks. — Global volunteering and community initiatives. Benefits: — Generous PTO & Holiday Schedule — Parental Leave — Progressive Healthcare Options — Retirement Programs — Opportunity for Education Reimbursement — Commuter Offset (Specific locations) Ping is committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. They are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Biassono, Italy; Paris, France; Milan, Italy Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Senior Site Reliability Engineer II, you’ll step up as the ultimate guardian of reliability across our critical product domains and services. You will architect high-performing platforms, turn complex systems into resilient superpowers, and collaborate directly with engineering leaders to set bulletproof standards. By keeping our systems seamlessly scalable, you directly power the AI-driven learning experiences used by millions around the globe. ⚡ THE DAY-TO-DAY - Master the Domain: Partner with engineering teams to set crystal-clear reliability objectives (SLIs/SLOs) and build long-term reliability roadmaps for core services. - Tackle High-Stakes Incidents: Lead cross-service incident responses during critical outages, guiding teams with confidence and translating chaos into clear, durable solutions. - Architect Resilient Futures: Drive the company-wide adoption of cutting-edge reliability patterns, deployment safety capabilities, and infrastructure scalability. - Elevate Observability: Build and refine advanced observability tools to catch issues before they reach production. - Champion Engineering Balance: Influence product design and system architecture to maintain the ultimate equilibrium between feature velocity and rock-solid reliability. - Empower the Team: Mentor senior engineers, elevate best practices, and play a pivotal role in recruiting top-tier talent to the SRE organization. 🧠 YOUR SUPERPOWERS - Battle-Tested Expertise: Bring 6–10 years of SRE, DevOps, or production engineering experience with hands-on mastery of complex distributed systems. - Cloud Architecture Wizardry: Command cloud infrastructure (AWS preferred), container orchestration, and Infrastructure as Code to keep modern platforms humming. - Engineering Precision: Craft clean, high-performing code in at least one major language alongside a knack for automating away repetitive tasks. - Incident Command Ready: Show a proven track record of steering large-scale incident management and driving high-impact reliability programs. - Cross-Functional Influence: Communicate effortlessly across engineering, product, and customer-facing teams to align tech goals with business impact. 🎁 BONUS POINTS - Next-Gen Automation: Advanced experience designing self-healing infrastructure patterns and zero-downtime deployment pipelines. - Mass-Scale Experience: Prior history scaling multi-tenant SaaS environments in rapid-growth markets. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.