Вакансии

Ipotekabank — банк в Узбекистане, входящий в международную финансовую OTP Group, специализирующийся на ипотечном и розничном кредитовании. Офис в Ташкенте.

Требования: — владение Go, Python и JavaScript — опыт с C/C++ (прошивка/встроенные системы) будет плюсом

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Engineering Opportunities - HAPS - Location: Valencia - Department: HAPS - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY WE'RE OPENING THIS APPLICATION We're growing our HAPS team in Valencia: the people building ICEYE's stratospheric electric aircraft and getting it safely into the sky. The program covers the aircraft itself along with the ground infrastructure and flight test campaigns that support it. It's early-stage enough that the people who join now will shape how it gets designed and operated for years to come. This posting isn't tied to one fixed opening. We're building a pool of strong engineers so we can move fast as specific roles open, and we'll reach out directly about where you'd fit. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. APPLICATION PROCESS Since this is an open application rather than a posting for one specific role, here's what happens after you apply: Our recruiting team reviews your background against current and upcoming openings on this program If there's a fit, we'll reach out for an initial conversation about where you'd land From there, you'll follow the standard process for that specific role: hiring manager interview, technical interview (often including a technical challenge), hiring team interview, and an offer decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Engineering Opportunities - Location: Valencia - Department: Space Systems - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY WE'RE OPENING THIS APPLICATION We're growing a new engineering effort in Valencia that sits alongside our proven SAR satellite business: an advanced satellite capability, built from the ground up. It's early enough that your input on how the team works, and what it builds, will matter for years to come, backed by a company that already has satellites in orbit and customers using them. This posting isn't tied to one fixed opening. We're building a pool of strong engineers so we can move fast as specific roles open, and we'll reach out directly about where you'd fit. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. APPLICATION PROCESS Since this is an open application rather than a posting for one specific role, here's what happens after you apply: Our recruiting team reviews your background against current and upcoming openings on this program If there's a fit, we'll reach out for an initial conversation about where you'd land From there, you'll follow the standard process for that specific role: hiring manager interview, technical interview (often including a technical challenge), hiring team interview, and an offer decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full-time The Role As Nex’s Senior Electronic Engineer, you will work at the heart of Playground hardware and smart accessories, helping turn ambitious product ideas into reliable products at scale. You will develop and validate PCBAs, turn product intent into precise specifications, lead JDM execution, support products through production, and solve manufacturing and field problems at their root. You will work hands-on from development and EVT through industrialization, production, and sustaining. Our partners bring development capacity and manufacturing expertise; you will ensure Nex sets the technical direction, makes the critical decisions, and holds every product to a high engineering standard. The knowledge you gain from today’s products will also shape what comes next. By strengthening our tools, lab practices, standards, and technical judgment, you will help Nex build better consoles, push the boundaries of active play, and bring exceptional experiences to families everywhere. The Mindset You are curious, hands-on, and evidence-led. You turn ambiguity into clear requirements, promising ideas into working hardware, and complex failures into verified root causes. You pair bold product ambition with engineering discipline, challenge weak assumptions, and act on first principles and measured results. You build today’s product while making Nex stronger for the next one. What You’ll Do 1. Build and Sustain the Hardware Develop, bring up, and validate functional PCBAs for current consoles and accessories through EVT, production, and sustaining. Support design changes, component transitions, yield improvement, and field issues throughout the product lifecycle. 2. Set the Engineering Standard Turn product intent into precise, testable requirements, interfaces, design margins, and acceptance criteria. Codify as design guidelines. Hold every detail to an exacting standard for performance, reliability, safety, and compliance across global markets. 3. Lead JDM Execution Set technical direction and guide partners through design, validation, industrialization, production, and sustaining. Challenge plans, designs, tests, and conclusions; validate key evidence and keep technical authority inside Nex. 4. Make Quality Scale Build Nex’s failure-analysis capability and establish the true root cause of manufacturing and field issues. Prescribe and verify corrective actions that improve yield, prevent recurrence, and raise quality as volume grows. 5. Shape What’s Next Evaluate technologies, platforms, and components that can unlock better consoles and active-play experiences. Turn lessons, benchmarks, and working prototypes into stronger decisions for future programs. Success Looks Like Hardware moves confidently from development through production and sustaining. Products deliver exceptional performance, reliability, safety, and compliance as volume and global reach grow. JDM partners execute efficiently while Nex leads critical decisions and validates the evidence. Manufacturing and field issues become verified fixes and lasting improvements. Lessons from today’s products sharpen future technology and product choices. Every program leaves behind better tools, knowledge, standards, and engineering capability. Must Have Degree in Electrical or Electronic Engineering, or equivalent practical experience. 7+ years developing electronic systems for connected consumer products, including at least one product through mass production and sustaining. Strong digital, analog, power, high-speed interface, SI/PI, PCB, and system-architecture fundamentals. Demonstrated ability to evaluate technologies and components and turn findings into product recommendations. Hands-on experience building prototypes and functional PCBAs, bringing up boards, using lab equipment, and debugging cross-layer problems. Experience producing detailed engineering requirements and verification criteria. Experience leading technical work with JDM/ODM partners and critically evaluating designs, plans, circuit and functional testing, test data, and reports. Strong manufacturing and field failure-analysis skills, including verified root cause and corrective action. Clear written and spoken English; working Mandarin for supplier and factory collaboration. Nice to Have Experience with SoCs, cameras, sensors, audio, HDMI/USB, Wi-Fi/Bluetooth, or smart accessories. Familiarity with Android/AOSP or embedded Linux and hardware/software co-debugging. Experience with EMC, safety, reliability, regulatory certification, and high-volume manufacturing. Python or similar scripting experience for lab automation and data analysis. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Задачи: - Разработка и развитие микросервисов и data-процессов для online/streaming и batch обработки - Построение пайплайнов обработки, обогащения и репликации данных - Создание витрин, агрегатов и ML-фичей для антифрод-моделей - Работа с большими объёмами исторических данных и тяжёлыми расчётами - Оптимизация производительности и надёжности сервисов и пайплайнов Требования: - Коммерческий опыт разработки на Python - Опыт создания backend-сервисов и data-пайплайнов, понимание микросервисной архитектуры - Опыт работы с большими объёмами данных, понимание batch и streaming обработки - Опыт работы с реляционными и in-memory базами данных - Понимание принципов работы ML-пайплайнов - Будет плюсом: опыт в Anti-Fraud / Risk / Scoring, low-latency системах; Spark, Kafka, Tarantool или Ignite Условия: - Формат работы: удалённо - Пятница — сокращённый рабочий день

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid JOB ADVERT Senior Software Engineer, AI Enablement The role & impact You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day. This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey. The team & how they connect The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance. Initially, you will focus on - Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling - Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org - Developing guidance and best practice for authoring agent skills, including agents for remediation tasks - Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market Where and how you can work You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team. Here are some of the things we're looking for, for this role - You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly - You've built internal tools or platforms that other engineers genuinely relied on - Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live - You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background - You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading - You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Thuwal, Saudi Arabia We are seeking a Fire Safety Engineer to join our team. The Fire Safety Engineer is responsible for delivering technical fire and life safety engineering activities under the direction of the Fire Safety Engineering Lead. The role supports delegated Authority Having Jurisdiction (AHJ) governance framework by conducting technical reviews, field assessments, inspections, compliance verification, fire risk assessments, and technical investigations within approved procedures and delegated authorities. The role prepares technical recommendations for review and approval through the Lead, Fire Safety Engineer and the Health and Safety Manager, as applicable. The Fire Safety Engineer also supports compliance with Saudi Civil Defense requirements, Saudi Building Code (SBC), National Fire Protection Association (NFPA), International Fire Code (IFC), and requirements by maintaining audit-ready evidence, verifying fire protection system performance, supporting Civil Defense-related documentation and inspections where applicable, and escalating significant fire and life safety risks. Key Responsibilities: Conduct fire and life safety engineering reviews, inspections, assessments, and field verifications. Review new construction, renovations, fire protection systems, and high-hazard facilities. Conduct fire risk assessments and recommend corrective and preventive actions. Ensure compliance with Saudi Building Code (SBC), Saudi Civil Defense, NFPA, IFC, and applicable fire safety requirements . Support inspection, testing, maintenance, commissioning, and verification of fire protection systems. Review systems including fire alarms, water-based and special suppression, smoke control, passive fire protection, fire doors, barriers, and means of egress. Investigate fire incidents, system failures, unwanted alarms, and other fire and life safety issues. Coordinate with projects, facilities, contractors, consultants, and other stakeholders. Requirements Bachelor's Degree in Fire Engineering, Fire Protection Engineering, Mechanical Engineering, Electrical Engineering, or related Engineering discipline . Minimum 6 years of professional experience in Fire Protection Engineering, Fire Systems, Fire Prevention, or Fire & Life Safety Compliance. Strong knowledge of SBC, NFPA, IFC, and Saudi Civil Defense requirements . Experience in fire protection system inspections, testing, commissioning, and compliance. Experience reviewing technical drawings, designs, specifications, and inspection documentation. International fire safety certifications such as CFPS, CFPE, NICET, IFE, or equivalent are preferred. Valid driver's license required.

Location: San Mateo Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs. Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers. THE MISSION Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing. THE OPPORTUNITY As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use. If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role. WHAT YOU'LL DO - Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond - Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments - Design scalable, secure workflows spanning compute, storage, networking, and distributed systems across AWS, GCP, Azure, and on-prem Kubernetes - Translate ambiguous, real-world customer requirements into concrete technical architecture — there's no pre-written spec waiting for you; you help define the problem - Build the processes and playbooks for post-sales deployment from 0→1, knowing that what you build now becomes the foundation for the team scaling behind you - Partner cross-functionally with Sales, Engineering, and Research, relaying field learnings that directly shape the product roadmap - Travel to customer sites as needed (roughly 15%) to support critical deployments and high-stakes engagements WHAT YOU BRING - 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer - Hands-on machine learning and model training experience — you understand pre-training, mid-training, and post-training concepts, not just how to call an API - Real experience deploying software into enterprise customer infrastructure - Strong Python proficiency (required) and AWS proficiency (required) - A track record of owning the full post-sales enterprise lifecycle — onboarding, optimization, and everything in between - Experience building post-sales processes or playbooks from scratch - Comfort operating in ambiguous, high-stakes, and fast-moving environments — startup or high-ambiguity experience is a plus - A technical degree (CS or equivalent) - A demonstrated ability to translate messy, ambiguous customer requirements into clean, concrete architecture - Willingness to travel to customer sites as needed (roughly 15%) - Nice to have: exposure to multi-cloud environments (GCP, Azure), on-prem or hybrid Kubernetes, or broader ML tooling — not required, but a strong differentiator Note: This role is built for people who bring both deep post-sales, customer-facing deployment experience and hands-on ML/model training expertise with measurable results. If you're strong in only one of these two areas, this likely isn't the right fit — but we'd still encourage a conversation if you're close. WHY JOIN? - Compensation: $230,000–$300,000 base plus extremely competitive equity - Health benefits: 100% covered health benefits (medical, vision, and dental) - 401(k): 401(k) plan with a 4% company match - Time off: Unlimited PTO - Wellness: Annual $2,000 wellness stipend - Learning & development: Annual $1,000 learning and development stipend - In-office perks: Daily lunches and snacks provided in the office - Relocation: Relocation assistance for employees moving to the Bay Area - Real ownership: With a lean team of ~60 people, you'll be the technical owner of some of the company's most strategic customer relationships - Proven in production: You're joining a company whose product already delivers 7x–40x faster training and measurable model performance gains for real customers - Backing that matters: $57.5M raised from Microsoft, Amazon, Felicis, and AI pioneers including Geoff Hinton, Yann LeCun, and Jeff Dean - Hybrid setup: 4 days per week in the San Mateo, CA office, with the rest of the team building alongside you in person - Visa support: Open to visa transfers, including OPT and H-1B transfers INTERVIEWING PROCESS - Initial Screen — Assesses background, interest, culture fit, comp expectations, and logistics - Hiring Manager Technical Screen (30 min) — Evaluates distributed systems experience, cloud infrastructure (AWS/GCP/Azure), Kubernetes, and post-sales/customer-facing mindset - Coding Screen (1 hour) — Live coding in Python with end-to-end debugging - On-site (3.5 hours) — System design/architecture discussion, technical deep dives, behavioral/stakeholder scenarios, and cross-functional interviews with Sales, Engineering, and Research We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: London, United Kingdom Workplace: none About InvestEngine We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait. About the role We’re hiring our first dedicated Analytics Engineer at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on. You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it. We’re actively modernising our data stack, and we want the person in this role to shape it. Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position is that the level matters less than the appetite. The ultimate test is hunger, and the desire to shape this space and have real impact . If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger. Beyond that, this role suits someone who: Operates well with ambiguity and limited structure. You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go. Wants a small, fast company on purpose — not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding. Lives in the tools, not in email chains. You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs. Can point to things they’ve actually built and shipped , not just designs or concepts they contributed to. Already uses AI to do the job better — Claude, Copilot, or similar — and is curious about where it can go further. Learns fast. We care more about how quickly you close a knowledge gap than how complete your CV looks today. Works well directly with Product, Marketing, Operations, and Engineering , not just with other analysts — this role sits right at that boundary. Our values Everyone at InvestEngine is expected to live these, and this role will be assessed against all five: Act like an owner — you take responsibility for outcomes, not just tasks Keep improving. Stay curious. — you push your own standards and the team’s, and you’re genuinely curious about better ways to work Achieve more together — you make the people around you (business stakeholders included) more effective, not just yourself Speak up. Share openly. — you flag risks, disagreements, and better ideas rather than sitting on them Put customers first. Create real value. — you build things because they solve a real problem, not because they’re interesting to build What you’ll do Analytics engineering & the semantic layer Design, build, and maintain dbt Core models that transform raw data into clean, well-tested, well-documented datasets Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against Establish and enforce data modelling standards, testing practices, and documentation as the function scales Evaluate and help roll out modern BI tooling — experience with Lightdash, Omni, Looker, or Metabase all translates well — to make metrics genuinely self-serve for non-technical stakeholders Building the AI context layer Structure our models, metric definitions, documentation, and lineage so they’re machine-readable, not just human-readable — because our semantic layer is what AI tooling reasons over Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is Use Claude to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and Notion AI to keep documentation and runbooks current and genuinely useful Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well Data engineering & the platform Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it Warehouse cost & performance Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about Data quality & observability Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows Upstream influence Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements before data reaches the warehouse — good analytics starts at the source, not in the transformation layer Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well Business partnership Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform Governance Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome Implement least-privilege access across datasets, reports, and dashboards What we’re looking for Must-haves Hands-on production experience with dbt (we run dbt Core) — this is a hard requirement Strong SQL expertise Solid Python for data engineering and automation Working knowledge of AWS data services Experience with GitHub and GitHub Actions (or equivalent CI/CD tooling) for testing and deploying data code Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics Comfortable using AI tools as part of your day-to-day engineering workflow Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch Nice-to-haves Airflow or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte Warehouse cost and performance tuning, particularly on Redshift Fintech, investment management, or another regulated industry Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection Experience with Notion AI or Asana automations Day-to-day working style We favour clear thinking and simple, well-tested solutions over cleverness We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included We believe data should be as accessible as it can safely be, and as restricted as it needs to be — good judgement applied consistently, not blanket lockdown Practical details Reports to: Chief Data Officer Team: Data & Analytics Level: Mid to Senior Location / working pattern: London / hybrid

Location: Remote in EMEA Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available. About the job Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit www.testlio.com . We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering. Why will you love this job? Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API. Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing. Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage. Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API. Why will you love being a part of Testlio? Great Culture: Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work: Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team. Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You: Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business: Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Shaping what's next Stay close to the code: Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently. Public API strategy: Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path. Integration architecture: Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core. Roadmap ownership: Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production. Running it with rigor Engineering operating rhythm: Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability. Technical leadership: Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions. Third-party dependency management : Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages. Production support and escalations: Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency. Reliability and observability: Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check. Team growth: Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation. What do you need to succeed? Technical skills Engineering management: 5+ years managing a team of 4+ engineers in an agile, remote environment. Hands-on technical leadership: Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team. Public or partner-facing API ownership: Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground. Third-party integration systems: Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control. Technical stack: Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns. Nice-to-haves Identity and access: Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles. Broader stack familiarity: Kafka, GraphQL, Python, and React are a plus. Observability and performance: Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions. Application security: Knowledge of application security best practices and integrating security review into the SDLC. Legacy modernization: Experience modernizing legacy systems or paying down significant technical debt while keeping a product running. SaaS experience: Prior experience managing a SaaS product is a plus. Human skills Fluency in English, with excellent written and verbal communication. Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting. Organized and thorough, with a meticulous approach to standards and process. Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement. Results-oriented, with data-driven decision-making. What is the application process? We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks. Application review Recruiter interview Hiring Manager Interview Live Technical Exercise 2 team and stakeholder interviews Reference checks Offer Diversity and inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the DEI section of our website. #LI-Remote

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role You own the company's identity provider: who signs in, from where, with which factors, into which applications — and how that access is granted, reviewed, and revoked. Microsoft Entra ID is the primary identity plane and the center of gravity for the role. Google Workspace, Cloud Identity, and Google Cloud IAM form a secondary domain. Microsoft 365 is in scope for tenant, licensing, and access administration. You are the escalation point for identity incidents from operations, security, service desk, and application teams — expected to resolve them, not route them onward. What you'll own Microsoft Entra ID and Microsoft 365 –    Users, dynamic and assigned groups, administrative units, directory roles, service principals, workload identities. –    Conditional Access design and rollout: named locations, client app and platform conditions, session controls, sign-in frequency, break-glass exclusions, report-only staging. –    Authentication methods policy and phishing-resistant factors. –    Application onboarding over SAML 2.0 (NameID, claims mapping, signing certificate rollover, encrypted assertions) and OIDC / OAuth 2.0 (authorization code with PKCE, client credentials, device code). –    App registrations: redirect URIs, permissions, admin consent workflow, secret and certificate lifecycle. –    SCIM 2.0 provisioning: attribute mappings, scoping filters, expression transformations, quarantined jobs, drift reconciliation. –    Tenant consent settings, OAuth grant review, remediation of over-permissioned and stale applications; defensible controls for SaaS without SSO or SCIM support. –    Joiner-mover-leaver as an automated pipeline: provisioning, group-based licensing, revocation with session and refresh token invalidation. –    Least privilege for admin access: scoped role assignments, RBAC, PIM, access reviews, entitlement management access packages. –    Service account and workload identity governance: ownership, credential rotation, permission scoping, decommissioning. –    Microsoft 365 tenant settings, licensing, admin roles; access and permission issues in Exchange Online, SharePoint Online, Power Platform. –    Diagnostics from sign-in, audit, and provisioning logs, with diagnostic settings routed to Log Analytics and KQL queries. –    Cross-tenant access settings and B2B external collaboration. Automation –    PowerShell tooling on the Microsoft Graph PowerShell SDK and Graph REST API: lifecycle, licensing, access reporting, recertification. –    Google-side automation through the Admin SDK Directory API, Cloud Identity API, and gcloud. –    Scheduled and event-driven workflows in Azure Automation Runbooks, Azure Logic Apps, or Power Automate. –    Unattended execution on managed identities and narrowly scoped app registrations, with credential rotation, structured logging, error handling, and retries. –    Automation treated as production code: version control, peer review, documented rollback. What you'll bring We care about what you can do, not which products appear on your CV. Concretely, you can: –    Decode a SAML assertion or JWT and pinpoint the failure — audience mismatch, NameID format, expired signing certificate, missing claim — without escalating to the vendor. –    Diagnose a failing SCIM job and tell scoping from attribute mapping, transformation expressions, or target schema. –    Replace a manual lifecycle process with automation that logs, retries, and can be handed to someone else to run. Experience we expect –    3+ years administering Microsoft Entra ID in production as a primary responsibility. –    Microsoft 365 tenant: settings, licensing, admin roles, Service Health –    Exchange Online: mailbox permissions, groups, mail flow, SPF/DKIM/DMARC –    Microsoft Defender: threat policies, quarantine, message trace –    Power Platform: environments, DLP connector policies, maker access –    PowerShell: Exchange Online module, Microsoft Graph SDK –    Enterprise applications, app registrations, consent and permission models, automated provisioning. –    Azure Automation Runbooks, Azure Logic Apps, Power Automate, or comparable platforms. –    Least privilege, secure administration, change management, and the discipline to leave configurations documented. –    Written and spoken English at B2 or higher. Nice to haves –    SC-300, MS-102, or SC-401 — or equivalent demonstrable expertise. –    Microsoft Entra ID Governance: entitlement management, lifecycle workflows, Privileged Identity Management. –    Microsoft Purview (DLP, retention, eDiscovery), Microsoft Defender for Cloud Apps, or Microsoft Sentinel. –    Google Cloud IAM: projects, roles and policies, service accounts, API access, OAuth credentials. –    Google Cloud workload identity federation, custom roles, organization policy constraints. –    Git, CI/CD practices, Pester, Bicep, or Terraform. –    Access evidence for SOC 2, ISO 27001, or comparable audit cycles. # LI -RK1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. MISSION Alan is scaling internationally (800+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Engineers to build and own the internal technology platform every Alaner works on: identity and provisioning, endpoint and SaaS security, the tooling behind our clinics, and the automation that keeps IT from scaling linearly with headcount. The scope below is what the team owns, not a checklist for one person. You'll be staffed on one or two of these areas at a time, according to your strengths and interests, and it will evolve through time based on company needs and personal appetite. Staying close to users keeps us building the right things: you'll spend up to one day a week on IT support, seeing first-hand where friction lives and what's worth automating next. SCOPE ⚙️ PLATFORM & AUTOMATION - Own and extend automations on Alan Home, our internal provisioning engine - Maintain, extend and improve helpdesk automation, SaaS provisioning flows, and onboarding/offboarding pipelines - Own the meeting room AV and room-booking platform as a product, replicable across offices 🔑 IDENTITY & ACCESS - Own the IT side of the employee lifecycle (onboarding, offboarding, mobility between jobs and countries) across Google Workspace, SSO/SAML and our SaaS ecosystem. - Grow our role-based access model: extend it to more tools and refine the permission groups, so access is granted by role rather than case by case - Make employee lifecycle events reliable, fast and auditable end-to-end - Own access reviews and least-privilege models; produce and maintain the evidence our auditors rely on - Own SaaS procurement and license management: vendor relationships, renewals, and cost optimization across our stack 🔒 ENDPOINT & SAAS SECURITY - Own the Mac fleet in Kandji: enrollment at scale, role-based blueprints, fleet compliance - Cloudflare WARP, SaaS security controls - Maintain and strengthen our ISO 27001 certification and drive ACPR and pentest remediation on the endpoint and platform scope 🩺 HEALTH PROFESSIONALS IT - The IT layer behind Alan's clinics: practitioner tooling, equipment, access - Role and permission automation for healthcare professionals, and their support and escalation process 🌍 INTERNATIONALISATION - Make international expansion something IT accelerates, not something it slows down: a repeatable process where every new market (Canada, KSA, Armenia...) launches on our standard stack from day one - Bring acquired entities onto that same platform MILESTONES First 3 months - Acquire technical knowledge on Alan's platform: Alan Home, Google Workspace/SSO, Kandji, Cloudflare WARP - Take one project end-to-end and ship a first increment - Join the IT oncall team as technical escalation First 6 months - Own a workstream end-to-end - Deliver one automation or hardening initiative end-to-end - Take up documentation and automation on your scope and reduce significantly the bus factor on it - Mentor IT teammates on your core expertise First year - Deliver measurable IT toil reduction on your scope - Set the technical standards on your domain: how we build, document and review it - Build strong cross-functional partnerships (Engineering, Security, Workplace, Clinic, People, Audit) - Contribute to hiring and onboarding new teammates 3 years - Lead major projects end-to-end across several communities - Be the reference the team relies on across at least two domains - Mentor the IT team and beyond, and scale IT without a linear increase in manual work As the community grows, there is room to take on more responsibility: leading a crew, owning cross-community projects, mentoring, hiring. WHAT WE'RE LOOKING FOR Must-have - Technical/hard skills: - 3+ years in IT engineering, platform, systems or corporate engineering, with real ownership of production-facing systems - Depth in at least one area (platform & automation, identity, endpoint & security) and demonstrated range beyond it. - You write code: not as a full-time software engineer, but Python, APIs and pull requests in a shared repo should feel normal - Structured problem-solving: diagnoses methodically, asks the right clarifying questions, thinks about failure modes and rollback - Comfort with regulated environments: health data, ACPR, ISO 27001, HDS - Automation & AI appetite: uses AI tools smartly to accelerate their own delivery, with an instinct for what should be automated or delegated to AI rather than repeated Must-have - Behavioral / soft skills: - Ownership & autonomy: drives topics forward without hand-holding, including when they cross into someone else's perimeter - Written communication: Alan is written-first; decisions get argued in public documents and challenged by people outside your team - Pragmatic judgment: balances "perfect" vs. "good enough", decides with incomplete information - Documentation culture: reduces bus factor through clear documentation and knowledge sharing Nice-to-have skills / Bonus points if you have: - Experience with an internal provisioning or IdP-driven automation platform - Kandji or another MDM at scale - Cloudflare Zero Trust / WARP, Datadog - Audit remediation experience (ISO 27001, HDS) - Multi-country rollouts, or IT integration after an acquisition - Having mentored, coached or led a (small) crew - Health or healthtech ecosystem familiarity Languages: Fluent English & Professional French

Mycar Digital — цифровой проект для автомобилистов: маркетплейс по продаже и покупке авто, автоматизация бизнес-процессов, автокредитование и дилерские центры. Формат работы: гибрид (Алматы, Казахстан).

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Summary: Location : Amsterdam Duration : 3-6 months Start date : January 2027 Compensation : Paid Eligibility : Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization : Permitted to work in the job’s location Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Your responsibilities will include Operation: assist in day-to-day SRE operations tasks Project work: execute tasks from the backlog together or instead: work on small and well-defined SRE project from backlog create tests for their changes/project (if applicable) write technical documentation about their work track and update Jira tasks according to their progress Learning and growth: actively study system fundamentals: Linux ( networking, cgroups, ebpf, etc.) learn internal tools, workflows and operational standards learn container and platform fundamentals: Kubernetes (core architecture and networking), Helm, Terraform learn configuration management and automation basics What we expect you to have demonstrate strong interest and foundational knowledge in cloud providers, operations, networking, hardware, and software programming experience in any of Python, Go, C++ or Java basic understanding of the Network (ethernet, ip, tcp/udp, routing fundamentals) familiarity with Git basic understanding of containers, Kubernetes and Gitops approach What we offer Mentorship from experienced AI, ML, and cloud infrastructure professionals Hands-on experience with real customer workloads and production systems Opportunities for professional growth within Nebius Opportunity to be considered for a full-time role after the Early Talent Program We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest This role may require participation in an on-call rotation. You may be a good fit if you Have experience with machine learning. Have experience in cybersecurity research. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity or other experimental & research background. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.