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Location: Intellias Meet your recruiter Karolina Sowa karolina.sowa@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Senior Bulgaria, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. What project we have for you Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. What you will do Design, develop, and maintain scalable backend services using Scala. Build reliable event-processing, notification, and integration services. Develop APIs and distributed system components in highly available environments. Deliver scalable, fault-tolerant solutions that provide business value. Contribute to system architecture, technical design, and engineering decisions. Troubleshoot complex production issues and perform root-cause analysis. Support integration, acceptance, and quality assurance testing activities. Maintain high software quality through testing, reviews, documentation, and best practices. Mentor engineers and promote technical excellence within the team. Collaborate with cross-functional stakeholders in Agile environments. Own services throughout their lifecycle, from design and development to deployment and production support. Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest). What you need for this Mandatory 3+ years of experience with Scala designing, developing, deploying, and maintaining backend services and distributed systems in production. 8+ years of software engineering experience (preferrably Java) 3+ years of experience building distributed systems using Akka (Streams, Actors, HTTP, Persistence) or Apache Pekko . 3+ years of experience with AWS Strong experience designing and operating event-driven distributed systems using technologies such as Kafka , AWS Kinesis , or equivalent messaging platforms . Strong experience with functional programming concepts and libraries such as Cats , Cats Effect, or ZIO. Hands-on experience with Docker . Strong experience with PostgreSQL and SQL query development. Experience with CI/CD tools and automated deployment pipelines (preferably GitHub Actions ) Experience designing and operating event-driven architectures and stream-processing systems. Experience with microservice architectures. Experience working within Agile software development environments. Strong understanding of software architecture and solution design. Strong ownership mindset with the ability to independently drive complex technical initiatives. Nice to have: Experience with Java 17+/21. Experience with Spring Boot. Experience with Hibernate/JPA. Experience with DynamoDB. Experience with CloudFormation. Experience with Flyway. Experience with Snowflake, BigQuery, or Databricks. Experience processing telemetry or event data at scale. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Scala

Задачи: — Разработка и поддержка функционала мобильного приложения на React Native, веб-панелей на React с TypeScript и бэкенда на Go — Использование AI-агента в IDE (VS Code) для написания, рефакторинга и отладки кода — Интеграция фронтенда с REST API бэкенда — Участие в код-ревью, написание понятного и поддерживаемого кода — Деплой и мониторинг сервисов в облаке AWS — Документирование выполненной работы и поддержание истории изменений в актуальном состоянии Требования: — Базовые знания нескольких технологий из стека: React Native, Go, React, TypeScript — Знания AWS (EC2, ECS, S3, чтение логов) — Уверенное владение VS Code — Опыт работы с AI-агентами в IDE (Claude Code, Cursor, Copilot и др.) — Навыки постановки задач агенту, проверки и доработки результатов — Опыт работы с Git (commit, push, branch, pull request) — Английский язык на уровне чтения технической документации — Желание быстро обучаться и осваивать новые технологии Будет плюсом: — Знания PostgreSQL / SQL — Опыт работы с Docker, CI/CD (GitHub Actions) — Опыт работы с Terraform и инфраструктурой как код — Понимание REST API, WebSocket — Опыт публикации мобильных приложений в App Store / Google Play Условия: — Работа над современным проектом с AI-first процессом разработки — Сильная команда и менторство — Реальная зона ответственности с первого дня — Зарплата от 6 000 000 сум в месяц на испытательный срок с возможным ростом до 8 000 000 сум — Бонусы по результатам работы от 50 до 200 долларов после испытательного срока — Опционы после квалификационного периода от 100 до 200 долларов — Влияние на развитие быстрорастущей e-commerce платформы нового поколения — Культура, ценящая любознательность, ответственность и инициативу

• Планирование тестовой стратегии и перевод её в автоматизированные тест-сьюты. • Проектирование, разработка и поддержка масштабируемого AI-based фреймворка для мобильных приложений.

Предстоит создавать подписочные приложения: обсуждать требования, выбирать технические решения, писать код и выпускать продукт в App Store. Главная задача работа над приложением от сбора требований до деплоя: Собирать и уточнять требования совместно с Product Manager.

- Вести весь пайплайн 360°: от снятия профиля с нанимающими менеджерами до оффера и онбординга. - Закрывать Middle, Senior, Lead и C-level роли (Tech: Dev, QA, DevOps, Data + Business: Product, Analytics, Marketing, Finance).

Location: Poland 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: The person in it owns the product direction and execution of the Engineering Platform, treats Creatio engineers as customers, and is measured by how reliable, self-service and automated the platform becomes, not by how well the backlog is groomed. Responsibilities: Platform reliability. Own SLOs for platform services. Turn incident and problem data into a preventative roadmap. Over time, incidents should become rarer, shorter, and less repetitive. We track the trend, shared with all the stakeholders. Standards and golden paths. Define, with Tech Leads, the paved roads for new services, pipelines, environments and testing. Make the paved road the easiest option, then measure adoption. Guide teams on industry best practice. Retire custom (not optimal) setups. Security posture of the platform. Own patch and vulnerability remediation SLAs for platform components. Make software updates a background process (automated updates, dependency bots, image rebuilds), not a periodic project. Toil removed. Quantify manual work across provisioning, pipelines, ops requests, onboarding and patching. Eliminate it in order of impact, preferring self-service and automation over faster ticket handling. DX measurements. Take the existing signals (build time, provisioning time, developer surveys) and build them into a coherent, published scorecard that Engineering leadership uses to steer investment. Product Goals: Formalizing Product Goals, Deliverables breakdown and tracking, execution and adoption tracking. Problem Management: cases review; Defining and prioritizing Problems.  Requirements: Several years building or operating developer platforms, DevOps or SRE tooling in an organization of 20+ engineering teams, followed by a product, lead or staff-level role owning direction for such a platform. A builder's background: has personally written and operated CI/CD pipelines, infrastructure-as-code and automation. Still reads code and pipeline definitions fluently, reviews designs, prototypes when needed, but chooses to delegate the build. Working knowledge of: containers and Kubernetes; CI/CD systems (TeamCity, Jenkins, GitHub Actions or similar); IaC (Terraform, Ansible or similar); Windows and Linux automation; cloud and on-prem infrastructure; secure SDLC and vulnerability management. Track record of eliminating manual work at scale: can describe a class of toil they removed, how they measured it and what the second-order effects were. Practical experience applying AI tools and agents to engineering workflows, and a point of view on where they help and where they do not. Product craft: discovery with internal users, outcome-based roadmaps, prioritisation under constraint, clear written decision records. Influence without authority: has changed how engineers work across teams they did not manage. English B2 or higher, written and spoken; clear, concise writing is essential. Experience defining and operating Developer Experience and platform metrics (DORA, SPACE, DevEx frameworks) and using them to drive investment. Experience with SLO-based reliability practice and blameless post-incident process. Experience with policy-as-code, software supply chain security and automated dependency management. 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: United Kingdom - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: We’re looking for a Senior Technical Support Engineer who’s equal parts problem-solver, translator, and customer hero. You’ll be the go-to person when customers hit snags with Chainguard Images, digging into technical mysteries, keeping folks informed, and partnering with Engineering to squash bugs before they cause chaos. This isn’t just “reset the password and move on” support: you’ll work on real, complex issues with modern tools (Docker, Kubernetes, GitHub, Helm charts, Terraform, etc.), make customers feel like superheroes themselves, and help shape how Chainguard delivers world-class support. Serious work, fun team, big impact. What you’ll do: Be the frontline agent: Triage, investigate, manage, and annihilate complex customer issues involving Chainguard Images. Escalate wisely: Engage the Engineering team when things get spicy. Communicate like a pro: Keep customers (and your SLAs) happy, informed, and impressed. Bridge the tech lingo divide: Explain things clearly to both code whisperers and non-tech humans. Document like a librarian: Create detailed write-ups of new issues and throw helpful Knowledge Base nuggets into the mix. Channel your inner detective: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution. Speak up smartly: Push bugs, feature requests, and hidden gremlins up to Engineering and GTM teams. Learn, teach, repeat: Seek new challenges, share wisdom, and maybe teach someone your favorite GitHub ninja trick. Be there when it counts: Participate in an on-call rotation for after-hours, weekend, and holiday support. What we're looking for: You’ve spent 5+ years supporting enterprise customers with a confident, calm approach. 3+ years under your belt with Linux, Docker and Kubernetes.  You dream in containers. You deliver top-tier customer experiences with stellar written and verbal communication. You're a cross-functional harmony maker supporting teams across Engineering, Customer Success, and more. You're comfortable in the DevOps warzone: CI/CD, Linux, GitHub, Helm Charts, Terraform, Open source and all the good stuff. Experience with AWS, Azure, or GCP; AWS EKS experience is a plus. Extra kudos if you’ve flirted with security frameworks, software supply chain security, or vulnerability scanning. Extra kudos if you bring CKA, CKAD, CKS or KCSA certs and aspire to be a future Kubestronaut. Startup experience? Even better.  You’ve navigated fast lanes before. A curious soul who learns faster than a caffeinated squirrel. You hold a bachelor’s degree (STEM preferred) or have equivalent battle scars from the real world. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Проводить ручное тестирование REST API, веб-интерфейсов и интеграций; Анализировать требования, писать тест-кейсы, чек-листы и баг-репорты;

Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Senior Data Engineer to join a digital healthcare initiative focused on building a large-scale health data platform that helps millions of people discover healthcare providers, connect with their health information, and make better-informed care decisions. This is a hands-on, high-ownership engineering role for someone experienced in building and operating data-intensive systems at scale. You will own critical data ingestion and processing capabilities, improve data quality and reliability, and develop AI-powered solutions for complex real-world healthcare data challenges. We are looking for an engineer who combines strong Python and data engineering expertise with cloud-native development, production ownership, and an AI-first engineering mindset . What project we have for you The project is building a FHIR-based healthcare data platform that aggregates provider information from national registries, EHR systems, healthcare networks, and partner data feeds. The platform ingests fragmented and often inconsistent healthcare data, transforms it into standardized FHIR resources, resolves duplicate identities and relationships, and makes trusted provider information available through high-scale search and data services. The engineering challenge goes well beyond traditional ETL. Provider data comes from hundreds of heterogeneous sources and contains duplicates, outdated records, conflicting identities, incomplete relationships, and inconsistent schemas. The platform must determine how these sources relate and continuously improve the accuracy and confidence of the resulting data. The technology landscape includes Python, Apache Spark, Prefect, AWS, Kubernetes, MongoDB, OpenSearch, and FHIR , with AI increasingly used both as part of the engineering lifecycle and within data-processing solutions. What you will do Design, build, and operate scalable data ingestion pipelines that onboard healthcare provider data from EHR systems, national registries, healthcare networks, and partner feeds. Transform heterogeneous source data into standardized, trusted data models, including FHIR-native resources . Own data quality end-to-end , including validation rules, quality thresholds, confidence scoring, automated monitoring, and alerting. Design and implement solutions for entity resolution, deduplication, relationship inference, classification, enrichment, and data quality scoring . Build and evolve distributed data processing pipelines using Python, Spark, and modern orchestration technologies . Improve pipeline reliability, scalability, observability, and performance so that new data sources can be onboarded efficiently and safely. Establish and evolve data governance standards , including schemas, staging models, validation processes, and data refinement workflows. Design and operate data storage and search solutions supporting large-scale healthcare datasets. Build AI-powered data tooling that improves the accuracy, automation, and intelligence of data processing workflows. Use modern AI development tools as an integral part of the engineering workflow to accelerate implementation, testing, debugging, documentation, and data analysis. Own production operations for the solutions you build, including monitoring, troubleshooting, incident response, and root-cause analysis. Partner with Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting. Collaborate with Product and Business stakeholders to prioritize data sources and improvements based on customer and business impact. Contribute to technical design reviews and help establish scalable engineering patterns across the broader data platform. What you need for this 5+ years of professional experience building and operating data-intensive backend or data engineering systems at scale. Strong hands-on expertise in Python , including development of production-grade data processing and backend services. Strong experience designing and building scalable data ingestion and ETL/ELT pipelines for large and heterogeneous datasets. Sound data engineering instincts, including data modeling, storage design, schema evolution, query optimization, caching strategies, and selecting appropriate batch or streaming processing patterns. Hands-on experience with Apache Spark or Databricks for distributed data processing. Experience with workflow orchestration technologies such as Prefect, Apache Airflow , or equivalent. Strong understanding of data modeling, schema design, validation strategies, data transformation, and data quality management . Experience designing solutions for data deduplication, entity resolution, data enrichment, classification, or record linkage . Experience with both relational and document-oriented databases; practical knowledge of technologies such as MongoDB or comparable NoSQL platforms. Experience with search technologies such as OpenSearch, Elasticsearch , or comparable solutions. Strong AWS experience, including services such as S3, ECS/EKS, Lambda , or equivalent cloud-native technologies. Hands-on experience with Docker, Kubernetes, CI/CD , and operating cloud-native workloads in production. Strong understanding of production data pipeline concerns including reliability, fault tolerance, observability, monitoring, alerting, and incident response . Experience establishing and maintaining data governance standards , schemas, validation rules, and repeatable data refinement processes. Practical experience using AI-assisted software engineering tools as part of the regular development lifecycle. Strong ownership mindset and ability to independently identify data or engineering problems, propose solutions, implement them, and operate them in production. Strong communication skills and ability to collaborate directly with engineering, analytics, product, data science, and business stakeholders. Professional English sufficient for direct collaboration with U.S.-based teams. Experience working with healthcare data, HealthTech platforms, or healthcare interoperability . Knowledge of FHIR , particularly resources such as Practitioner, Organization, PractitionerRole, Endpoint, and Location. Experience integrating data from EHR/EMR systems, healthcare registries, provider networks , or similar complex data ecosystems. Experience designing data platforms handling PHI/PII or other regulated and sensitive information . Familiarity with HIPAA-related data protection and security considerations. Nice to Have Experience building AI-powered data processing solutions , particularly entity resolution, relationship inference, classification, enrichment, anomaly detection, or data quality scoring. Practical experience integrating LLMs into production data workflows , including evaluation, reliability, latency, cost, and data-protection considerations. Experience with AI engineering tools such as Claude Code, GitHub Copilot, Cursor , or similar platforms. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Python Spark

💼7+ years of engineering/operations experience, including 5+ years in DevOps. 💼Banking or financial services experience.

Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Moldova; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; London Office; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. STAFF PLATFORM ENGINEER, AGENTIC ENGINEERING Developer Productivity · AI Coding Agents · Developer Platform Our ambition: an engineering organisation where humans and agents work as one continuously learning system, turning frontier AI capabilities and real-world feedback into more ambitious product development. We want n8n to be the reference for how this is done, without compromising quality, resilience or trust. Your main goal is to make that real. This is a Staff individual contributor role in Developer Platform and the technical driving force behind ACDC (Agent-centric Development Cycle), our engineering-wide initiative for agentic development. Nobody has a playbook for this yet. You'll write ours. You won't start from zero. Agents wired into Linear already automate around 80% of the development cycle on one of our developer platform projects, alongside pilots for insight, feature-flag and PR-review agents and a shared agent harness. Your job is to take this from promising experiments to the way n8n builds software. This role is for someone who thinks about this problem constantly. You run agents all day, rebuild your own workflow every time the frontier moves, and have more ideas than time. You'll stay hands-on, building the first versions yourself, and shape how the work grows beyond one person. WHAT YOU'LL DO SET DIRECTION AND OWN THE OUTCOME - Identify where agentic development can make the greatest difference, using developer feedback, existing experiments and engineering performance data. - Set the strategy and priorities across agent execution, repository readiness, CI, security and developer workflows. - Make build, buy or pass decisions on tools and vendors, and own the cost and value trade-offs, including AI spend. - Make decisions where requirements are incomplete and the trade-offs between autonomy, reliability, security and review effort are still emerging. - Build alignment through technical proposals, clear decisions and working software, and report progress and impact to engineering leadership. BUILD THE FOUNDATIONS - Design and build isolated execution environments where agents can work with the right access to code, tools and context, without exposing secrets or sensitive systems. - Own the safety model: which task categories agents may attempt, what they must never touch, and where human review is required, partnering with Security on sensitive areas like auth, billing, permissions and data handling. - Make n8n's monorepo agent-ready, working with Architecture and senior engineers on repo structure, testability, boundaries and the context agents need. INTEGRATE AGENTS INTO HOW WE WORK - Build repeatable workflows that take Linear issues through agent execution, self-verification and review to merged PRs, across a growing range of task types. - Integrate agentic workflows with GitHub, CI, test infrastructure and code review, so the agentic path becomes the easiest path for engineers. - Extend the loop beyond coding: connect earlier signals like product research and customer requests, and later ones like production metrics, so agents contribute across the whole cycle. - Open it up beyond engineering, so PMs, designers and others can turn a well-defined issue into a reviewed, mergeable change. - Shape review practices, such as PR evidence that shows what changed, what ran, what risks remain and where human judgment is needed. MEASURE WHAT WORKS - Build benchmarks from real historical engineering tasks to evaluate output quality, failure modes, review burden and production risk. - Define and track quality and adoption signals, such as reviewer acceptance rate, CI pass rate, rework rate and developer satisfaction. - Use data and feedback to change course, retire what doesn't work, and build trust across engineering. REQUIREMENTS MUST-HAVES - 🔥 Frontier obsession: You live at the frontier. You try new models and tools as they land, and you have strong, evidence-backed opinions on what's real and what's hype. - 🧭 Staff-scope ownership: You’ve led complex platform, DevEx or engineering productivity initiatives across teams, from defining the problem to sustained adoption and measurable impact, where there was no established approach to follow. - 🤖 Agentic depth: You use coding agents daily as a power user, and you've built infrastructure around them, such as repo context and instructions, tool or MCP integrations, sandboxed execution or agent workflows in CI, that other engineers rely on. - 🎯 Product mindset for internal platforms: You treat engineers as your customers. You start from real friction, prioritise by impact, make build-vs-buy calls, weigh cost against value, and let adoption tell you whether something works. - 🤝 Direction without authority: You've set technical direction that multiple teams followed, through proposals, design reviews and credibility with senior engineers across Platform, Product Engineering, AI, Security and Architecture. - 🔐 Safety judgment: You've made real decisions on permissions, secrets, sandboxing, sensitive code paths and human-in-the-loop review, and can explain the trade-offs. - 📊 Measurement that drives decisions: You've built evaluations, benchmarks or quality metrics and used them to change course or retire things that didn't work. You care about outcomes, not lines of AI-generated code. - ✍️ Writing that changes decisions: Your technical proposals and documentation have shifted what teams did. NICE-TO-HAVES - 📦 TypeScript monorepos: You have worked in a large TypeScript, Node.js or JavaScript monorepo. - ⚙️ Developer platforms: You have experience with GitHub Actions, Linear, test infrastructure, preview environments or internal developer platforms. - 🧑‍🤝‍🧑 Growing a team: You've mentored engineers or helped shape a new team as an initiative grew beyond one person. - 🌍 Open-source communities: You have contributed to open-source or source-available projects with active developer communities. - 🏢 B2B SaaS context: You understand environments where reliability, permissions, data handling and customer trust are central. - 🔗 Workflow automation: You're familiar with workflow automation, integration platforms, AI orchestration or developer-facing products. WHY JOIN US? At n8n, you'll define how autonomous AI agents become a trusted part of engineering inside one of Europe's fastest-growing AI-native infrastructure companies. Your work will shape the platform foundations, safety model, evaluation framework and developer workflows that decide whether agents can contribute meaningfully to production engineering without lowering the quality bar. You'll join a remote-first team with high autonomy, high visibility and a strong builder mindset. Because this is a first-of-its-kind role, you'll set direction, influence engineering culture, and create learnings that may inform both our internal engineering and n8n's product thinking. Sound like a challenge you're excited to take on? Apply now, and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Malta At Betsson Group, we strive to deliver the best customer experience in the industry. We are one of the market leaders in iGaming, offering online gaming products in a number of markets, both through our own gaming sites as well as several partner brands. The Wow Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you! What's in it for you? Player Account Management (PAM) Area covers everything related to the management of the player accounts, such as: Account creation, verification, updates, and closure Account authentication, controls, and security User session management Responsible Gaming A taster of what you will be involved with: At Betsson, we pride ourselves on adaptability and keeping up with the latest technologies. Our current tech stack is below, but by the time you join we may have adopted an even better stack: .NET C#, .NET Core, xUnit .NET Web API, WCF MSSQL, Couchbase GitHub, TeamCity We are also moving towards microservices and containerization with Docker. What we are looking for .NET C# with knowledge of the ASP.NET Web API Implementing distributed and multi-tier/microservices systems Collaborating with teams to create awesome features Communicating in English Experience with coaching and mentoring junior colleagues .NET Core Docker NServiceBus / Kafka / RabbitMQ What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

• коммерческий опыт разработки на C# .NET от 5 лет.

🔹 Требования: Selenium (Java), TestNG, SQL (MSQL), Postman, GitHub, ручное тестирование frontend/backend, REST API и интеграционное тестирование, UI E2E automation, разработка и поддержка автотестов.

Location: Москва **О компании и продукте** Мы – SberTech и мы разрабатываем IT-продукты для крупнейшей экосистемы России - Сбер. Ключевой продукт SberTech – новая технологическая платформа, которая обеспечивает высокий уровень цифровизации, аналитику данных, скорость принятия решений и вывода продуктов на рынок. Platform V - платформа для автоматизации бизнес задач розничного блока, корпоративного блока, внутренней работы сотрудников компании и Экосистемы. Назначение: предоставление платформы для разработки бизнес функционала. **О команде (подразделении)** Мы выпускаем композитные ИТ-продукты Platform V в разработке которых принимает участие более 50 команд. Выстраиваем процессы управления супер-релизным циклом. Наша цель – обеспечить Time to market и релизное управление продуктами на полном жизненном цикле. Функциональные области платформы •       Сервисы безопасности •       Сервисы поддержки •       Сервисы обеспечения надежности •       Сервисы маршрутизации •       Прикладные сервисы печати и передачи файлов •       Сервисы поддержки многоблочности •       Интеграционные решения Обязанности ### Твои задачи: **_Ключевая миссия роли: создать и провести сквозную стратегию развития качества, не имея прямого функционального подчинения QA — через влияние, баланс потребностей бизнеса и команд, и горизонтальное управление._** * аудировать текущий ландшафт — 50+ команд разработки (ок.500 сотрудников), 15 продуктов разной уровни сложности, дефект-менеджмент, автоматизация, инструменты * разработать стратегию QA на ближайший год — с дорожной картой, бенчмарками и рисками * управлять матрично — выстраивать отношения с руководителями подразделений, где линейно и функционально находятся QA-инженеры (со своими целями, задачами и бэклогами от бизнеса), добиваясь реализации стратегических QA-инициатив без директивного давления * внедрить AI в тестирование (генерация тестов/автотестов, предсказание дефектов, авто-анализ логов) и масштабировать лучшие практики * возглавить стрим перехода на SDD подход в разработке * построить единую систему метрик— по всем командам * управлять изменениями — запустить программу повышения квалификации QA, провести модификацию роли QA с учётом использования AI. Требования ### Мы ожидаем, что у тебя есть: * опыт от 3 лет на позиции Head of QA / Director of Quality в компании с техблоком от 500+ разработчиков * опыт работы в матричной структуре, где QA-инженеры линейно подчиняются другим руководителям (продуктовым, бизнесовым, разработки) — и вы успешно реализовывали центральную QA-стратегию, не ломая их процессы * опыт бюджетирования и защиты стратегии перед топ-менеджментом * умеете разговаривать на двух языках: с топ-менеджментом — языком бизнес-рисков, ROI и компромиссов; с инженерами в командах — их технологиями, болячками и мотивацией * успешно внедрил как минимум один AI/ML-инструмент в тест-процессы (нагрузка 100+ тестировщиков) * опыт использования LLM (GPT, Claude и аналоги), опыт работы с AI-инструментами разработки (GitHub Copilot, Cursor, Codeium, Claude Code), понимание принципов их работы и ограничений * опыт использования и внедрения систем управления тестированием и отчетности (Zephyr Scale / TestIT / TestOps / Allure Reports) * опыт встраивания процесса тестировния в CI/CD процессы (Jenkins / GitLab CI / TeamCity / Argo Workflows). Условия ### Работа в СберТехе - это: * гибридный формат работы * годовой бонус и ежегодный пересмотр зарплаты * статус аккредитованной ИТ-компании * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * 90 дней удаленной работы из любого региона РФ * льготная ипотека в Сбере * бесплатная подписка СберПрайм, которой можно поделиться с 3 близкими.

Location: Chicago, NYC, Dallas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are A collaborative and strategic leader with deep hands-on experience in Site Reliability Engineering (SRE) and infrastructure Automation on our Data Center team. You are comfortable steering the vision for an enterprise automation roadmap while remaining technical enough to dive into the code. You treat infrastructure as a product, ensuring that your automation workflows are as reliable as the services they deploy. You have a proven track record of managing complex hybrid environments and are proactive in building self-service platforms that enhance engineering velocity and system stability. Responsibilities Automation Platform Leadership : Oversee a specialized SRE team focused on the design, deployment, and maintenance of automation toolsets as well as the systems they interact with. Infrastructure as Code (IaC) Governance : Establish and enforce standards for IaC to ensure consistent, repeatable, and secure deployments across an entire infrastructure ecosystem. Strong proficiency in Terraform is required. Configuration Management : Lead the strategy for automated configuration and state management, ensuring Ansible playbooks and Packer image pipelines are optimized for both Windows, Linux, and ESXi Platforms. Monitoring & Observability : Manage the monitoring and health of the automation platforms themselves. Implement SLIs/SLOs to ensure the "tools that build the servers" are highly available and performant. Lifecycle Management : Drive the automated lifecycle of both physical and virtual assets, from initial template creation/deployment to automated patching, scaling, and decommissioning. Custom Tooling & Scripting : Lead the development of custom scripts and internal providers (Python, Go, PowerShell, Bash) to provide better insights and tooling for our systems. Collaboration: Outside of the automation team you will need to be able to collaborate and foster workflows alongside the rest of the Datacenter team and be able to facilitate needs for the team as a whole. Capacity & Performance : Analyze system behavior and resource utilization in virtual environments to optimize the performance of automated deployments. Mentorship & Growth : Provide technical guidance and career mentorship to SREs, fostering a culture of "automate-first" and continuous improvement. Requirements 6-10 years’ experience in Infrastructure, SRE or DevOps, specifically focused on infrastructure automation at scale. Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX). Hands-on experience with Image Creation (i.e. Packer, Ansible, SCCM) to build standardized, hardened images for both Windows and Linux in hybrid environments. Strong experience managing and automating virtual platforms such as VMware (vSphere/vCenter) as well as Cloud providers such as Azure and AWS. High-level scripting skills in mediums such as Python, Go, PowerShell, and Bash. Experience with observability tools (Splunk, ELK, Prometheus, or Grafana) to monitor infrastructure health and automation telemetry. Good understanding of Network topology and design as well as experience with platforms such as Juniper Networks or Palo Alto. Strong mastery of Git (branching strategies, PR workflows) and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions). Equal comfort managing, troubleshooting, and tuning performance for both Windows Server and Linux. Nice to Have Previous work experience includes notable periods of team leadership and or management. Experience with IAM platforms such as Entra ID, Active Directory, and Okta. Experience with Storage solutions both block based and object based hosted either on-prem (HP Alletra, EMC, DDN) or in cloud (S3, Azure Blob). Storage Backup/DR administration and management with Commvault or Veeam. What We Offer: Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Our Sales team needs a dedicated data partner, and creator commerce https://kit.com/features/commerce (how creators monetize by selling digital products) is becoming a bigger part of how Kit and our creators scale. Kit is growing, so we're looking for a Senior Analytics Engineer to own Kit's sales and commerce data from end to end. Accurate sales data gives our team a clear picture of the pipeline and the confidence to make informed decisions. That’s what makes this role so important. Your primary focus will be Sales: the dbt models that turn our CRM data into trusted pipeline, deal, and funnel metrics, and the Omni dashboards our sales leader and Senior Revenue Operations Manager use to run the business. You'll also model creator commerce data, so we understand what creators sell and earn through Kit, and you'll pick up reporting work with our Product team, such as feature usage reporting. On a small data team, we step outside our usual lanes when the need is there, so the mix will shift over time. You'll build for two kinds of consumers: people and AI. Teammates increasingly answer their own questions by querying our semantic layer through Omni's AI and MCP connections to AI tools. That means your models, metric definitions, and documentation need to be clear and correct enough for an AI agent to use them without a data teammate in the loop. This is a full-time individual contributor role for someone who likes being close to the business, enjoys turning messy operational data into numbers people trust, and is happy to work on both the models and the dashboards that sit on top of them. When Sales and Product have clear, reliable data, we help more creators build more valuable businesses with Kit.   YOUR SUPPORT SYSTEM You'll report to Sam Umachi, Head of Data (Linkedin https://www.linkedin.com/in/samuelumachi/). Sales and RevOps are your primary partners, who will rely on the models and reporting you own. You'll also partner with our Product team on reporting for features like Visual Automations https://kit.com/features/automations and on how creators use Kit. Within our data team, you'll work alongside a Staff Analytics Engineer who owns org-wide semantic layer governance and modeling standards, a Senior Data Engineer who owns ingestion and pipelines, and a Senior Business Analytics Partner focused on revenue opportunities. This role has no direct reports.   WHAT YOU'LL DO - First Week: Work through our onboarding curriculum in Notion and meet the data team, our Senior Revenue Operations Manager, the sales team, and your product partners. Get set up in our core tools: dbt Cloud, GitHub, Amazon Redshift, Omni, HubSpot, Linear, Hightouch and Slack. Set up your AI-assisted development environment and learn the shared AI workflows our data team uses. Open and merge your first small pull request so you learn our review and deployment flow early. - First Month: Map how HubSpot objects (deals, pipelines and stages, companies, contacts, and owners) flow into our dbt models, and document the gaps. Take over day-to-day ownership of the sales models and Omni dashboards that teammates have been covering. Audit current sales reporting and list where definitions differ or numbers don't reconcile. Get familiar with how commerce data (products creators sell and the revenue they earn through Kit) lands in the warehouse today. Agree with RevOps and Sales on the most important questions they need answered. Review teammates' pull requests and contribute to our shared SQL, dbt, and documentation standards. Share a written reflection with the team on what you've learned and where you'd focus first. - First Six Months: Ship and maintain well-tested, documented dbt models for core sales metrics, such as pipeline, deal velocity, stage conversion, win rates, and the sales-led funnel. Expose those metrics through the Omni semantic layer, working within the team's governance standards. Rebuild or refresh the core sales dashboards so pipeline reviews and forecasting conversations run on numbers that don't need manual reconciliation. Resolve competing sales metric definitions by writing down the options and tradeoffs, aligning with Sales and RevOps, and documenting the outcome. Model creator-level commerce data, such as products sold, revenue earned through Kit, and conversion, in partnership with data engineering. Write semantic layer descriptions, metric definitions, and documentation that let Omni's AI and MCP-connected AI tools answer routine sales questions correctly, and test them against real questions from Sales, RevOps and Product. Get Sales to the point where routine questions are answered through self-serve, whether in Omni dashboards, Omni's AI, or AI tools connected over MCP, rather than one-off requests. - First Year: Be the recognized owner of Kit's sales data, the person Sales and RevOps go to first and trust without second-guessing. Give our revenue analysis work the sales and commerce models it depends on, so deeper questions about pipeline health and creator earnings can be answered quickly, thereby enabling us to make creators more successful. Leave your domains well documented and well tested, legible to new teammates, stakeholders, and the AI agents that query our semantic layer. Help raise the team's modeling quality through code review, pairing, and sharing what you learn.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep dbt experience. You build modular, tested, documented dbt projects, and you're comfortable with incremental models, snapshots, macros, CI, and scheduled jobs in dbt Cloud or similar. - Advanced SQL. You reason carefully about grain, joins, and window functions, and you write queries that are readable and performant on a cloud warehouse. - Data modeling for sales and GTM. You can model deals, pipeline stages and their history, ownership changes, and funnel conversion into clean, reusable structures. You are opinionated on Kimball standards and when a concept should be a fact or dimension. - CRM data fluency. You know how sales data behaves in a CRM, including stage changes, backdated edits, and custom properties. HubSpot is preferred, but other CRM experience (e.g. Salesforce) applies just as well. We care most that you recognize common CRM patterns. - AI-assisted development. You use AI code editors and agents (such as Cursor, Claude Code, Codex, or similar) every day, and you validate their output with tests, query results, and review before anything ships. - Clear written communication. You explain metric definitions, tradeoffs, and data caveats in plain language that Sales, RevOps, and Product partners understand. - BI and semantic layer experience. You can build dashboards and semantic models in Omni, Looker, or a similar BI tool, and you design metric definitions that people and AI tools can both query correctly. - Git-based workflows. You keep pull requests small and well described, and you give thoughtful code review. - Nice to have: Redshift performance tuning (sort and distribution keys), Python for scripting or API pulls, reverse ETL, and experience with product event, billing, payments, or ecommerce data. Experiences - Around 7 or more years in analytics engineering or data engineering where you personally shipped production data models. - Several years of hands-on work building and maintaining production dbt projects. - Working directly with sales teams and RevOps, and owning reporting they relied on to run the business. - Owning a data domain over time and evolving its models as the business and its questions changed. - Working at a SaaS company, ideally one with both a self-serve and a sales-led motion. Commerce, payments, or creator economy experience is a plus, not a requirement. - Working on a small or remote team where you were trusted to make decisions independently. Traits - Ownership and follow-through. You treat your data domains as yours. You notice problems before stakeholders do, close the loop on requests, and finish what you start. - Judgment. You match rigor to the decision at hand, know when a quick answer is enough and when a request should become a durable model, and say so clearly. - Flexibility. You're glad to step outside your primary area when another team needs help, and you balance that work against your core commitments openly. - Teach everything you know. You document as you go, pair generously, and help stakeholders understand the data well enough to use it on their own. - Work in public. You share progress, open questions, and decisions in writing where the team can see them, including what didn't work. - Creator success is our success. You remember who's on the other end. A wrong number in a pipeline review means Sales spends time on the wrong creators, and that shapes how carefully you work. - Do it with excellence. You test your work, review it carefully, and don't ship a number you can't defend. - Candor with care. You're comfortable pushing back when a request won't answer the real question, and you do it in a way that builds trust.   WHAT WON'T SET YOU UP FOR SUCCESS - Needing detailed specs or a highly structured environment before you can start. - Discomfort with ambiguity. Some of our sales and commerce definitions are still evolving, and you'll help settle them. - Needing several layers of approval to make modeling decisions within your domain. - Wanting to work only on dashboards, or only on pipelines, rather than across the transformation and BI layers. - Wanting a strictly fixed scope. Sales comes first, but you'll pick up Product or other work when the business needs it. - Wanting mostly greenfield work. Much of this role is improving sales models and dashboards that already exist. - Preferring to take tickets as written rather than partnering with stakeholders on what they need. - Being skeptical of AI's capabilities, or using AI without good judgment and accountability. - Expecting a large data team with dedicated specialists for every part of the stack.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time - so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($172,000). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Technical interview (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Moldova OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are looking for a proactive and detail-oriented General QA Engineer to help ensure the quality and reliability of our product. In this role, you will combine manual and automated testing, build and maintain scalable Playwright test suites, leverage AI-powered tools to increase efficiency and work closely with engineering and product teams to deliver a seamless user experience. As part of our team, your responsibilities in this role will include: Automates validation across UI, APIs, dashboards Maintains reusable test systems, flakes analytics Development and maintenance of a suite of e2e/UI tests in Playwright (TS), covering critical user scenarios. Use of AI in work Practical use of LLM tools (e.g., ChatGPT, GitHub Copilot/Codeium) to optimize the execution of testing tasks. Performing manual testing of features (planning, test design, regression, exploratory). Integration and optimization of test runs in CI (parallelization, stabilization, flakiness metrics). Setting up reporting and observability for automated tests (traces, video, flake analytics). Collaboration with engineering and product: requirements clarification, help reproducing defects, and improving testability. Maintaining the quality of test data and environments. Our ideal candidate possesses the following skills: 3–5 years in QA, including 1.5+ years in automation using JavaScript/Playwright. Strong Playwright: Test Runner, fixtures, projects, parallelization, and sharding. Auto-wait/locators, stable selectors, working with flakes (timeouts, retries, expect.poll). BrowserContext/Page, environment isolation, test data management. Tracing, video/screenshots, network mocking (route), APIRequestContext. Page Object/Screenplay patterns, project structure, reusability. AI & No-Code Integration: Building test workflows in n8n, Zapier, Gumloop. Use of no-code tools as part of the automated test infrastructure. AI-Enhanced Testing: Practical use of LLMs (e.g., ChatGPT, Copilot). Explore AI QA tools (Testim, Diffblue, CodiumAI, Mabl). JavaScript/TypeScript at advanced mid-level: Async/await, promises, modules, TS typing, interfaces, generics. NPM/Yarn, Node.js scripts, ESLint/Prettier configuration. API testing: REST, Postman/Swagger. Browser DevTools: network, storage, cookies, CORS, headers, status codes. Databases: solid SQL, basic work with test data. CI/CD and VCS: Git (branching, PR, code review). Integration of automated tests into CI (GitHub Actions/Jenkins), artifacts, and reports. Running tests in containers/headless, dependency management, and caching. Manual testing: Requirements analysis. Creation of all types of test documentation. Test design techniques. Types of testing. English: reading documentation and written communication (Intermediate+). Ukrainian and/or Russian language proficiency is a must. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break) Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.