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Location: Doha Workplace: OnSite ABOUT THE STUDIO Utopia Studio is an AI-native venture builder for the Global South, backed by Qatar Development Bank. We work with domain experts across the GCC, Southeast Asia, and Africa to accelerate venture creation through AI-driven execution and shared infrastructure. At the core is Utopia OS — a modular platform that automates what's repeatable, embeds AI agents across workflows, and lets learning compound across ventures. ABOUT THE ROLE We're looking for a founding product engineer to build the platform and infrastructure side of Utopia OS. You’ll design, develop, and scale the shared systems, data pipelines, and full-stack applications that power dozens of AI-native ventures launching from Doha for the Global South. You’ll combine deep backend expertise with the ability to deliver seamless, data-driven web experiences that make AI-native venture building faster and smarter. You will work as part of a product trio with the Design Lead and the Rapid Prototyping Engineer, making joint decisions on discovery, scope, and technical approach. Reports to: Studio Director Growth path: Head of AI Platform / CTO track RESPONSIBILITIES PLATFORM ENGINEERING & INFRASTRUCTURE - Architect, build, and maintain Utopia OS infrastructure: auth, data systems, deployment, monitoring, analytics - Develop full-stack web apps and plugins for studio-wide decisioning and analytics - Build and maintain data pipelines for ingestion, transformation, and deployment across all ventures - Develop and maintain robust backend systems and APIs, integrating modern databases (Postgres, Supabase, PlanetScale) and data architectures (Iceberg, Delta Lake). - Implement data pipelines and transformation workflows (Dagster, Airflow) to enable real-time analytics across ventures. - Create clear, reusable documentation and internal tooling to standardize engineering practices across the platform. - Take early-stage products and harden them for scale, reliability, and compliance. - Collaborate with design and product teams to translate data and infrastructure capabilities into intuitive user experiences and venture-facing tools. - Implement CI/CD, observability, and security frameworks across the portfolio - Design deployment templates for multi-tenant environments and enterprise integrations COLLABORATION & ENGINEERING EXCELLENCE - Work closely with venture teams to integrate AI workflows and shared infrastructure - Improve developer experience through modern, intuitive tool design - Provide technical guidance and mentorship to engineers and fellows — fostering a culture of learning, experimentation, and shared standards across the Studio. - Document architecture, standards, and playbooks so they can be reused across the studio - Communicate complex technical concepts clearly to both engineering and non-technical stakeholders — turning systems thinking into shared understanding. - Stay current with advances in generative AI, data infrastructure, and modern web engineering - Work in a tight loop with the Design Lead on design system needs and with the Rapid Prototyping Engineer to productionize validated prototypes into secure, scalable services. - Co-own technical discovery with the product trio: define evaluation plans, success metrics, and risks before committing to builds. - You’ll also help the team build shared capabilities typically owned by dedicated functions — like LLMOps, Data Engineering, and Security — but in a lean, integrated way. - That means establishing lightweight evaluation pipelines, data ingestion templates, and security practices that can scale across multiple ventures without extra overhead. - These foundations will later evolve into formalized systems as Utopia grows. - We operate as a compact, AI-native core team — covering product, design, and engineering end-to-end. - Each of us contributes to early foundations in areas like evaluation, data, research, and security, ensuring the platform scales responsibly without added layers or headcount. EXPERIENCE & SKILLS - Bachelor's or Master's in Computer Science, Software Engineering, or related field - 4–8 years in full-stack and backend development (startup or AI context preferred) - Strong with modern frameworks (React, Vue, Angular, Next.js, SvelteKit) and backend systems (Postgres, Supabase, PlanetScale) - Experience with data pipelines (Dagster, Airflow) and modern data lakes (Iceberg, Delta Lake) - Experience designing data-driven applications — integrating analytics and visualization into user-facing tools. - Comfortable with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and CI/CD pipelines - Strong documentation and communication skills — you can explain complex systems clearly TECHNICAL FOUNDATIONS - Strong in full-stack development, with expertise in at least one modern front-end framework (React, Svelte, Vue, Angular, or Next.js) - Experienced with backend systems, data pipelines, and cloud infrastructure (Postgres, Supabase, AWS, Docker, Kubernetes) - Comfortable developing and deploying in hybrid environments, with CI/CD, monitoring, and observability best practices - Familiar with data lake architectures (Delta Lake, Iceberg) and workflow orchestration tools (Airflow, Dagster) IMPACT & SUCCESS METRICS - Accelerate venture build cycles through reusable systems and faster deployment - Improve infrastructure reliability and security across ventures - Reduce duplication and increase code reuse across the Studio platform - Enable measurable improvements in venture launch speed, uptime, and developer experience MINDSET & VALUES - Systems + Empathy: You balance deep backend expertise with product intuition and user empathy. - AI as collaborator: You build infrastructure that learns, adapts, and improves through automation and AI augmentation. - Outcome focus: You optimize for speed, reliability, and measurable business value across all ventures. - Continuous learning: You're always exploring new frameworks, architectures, and AI tools that make engineering smarter and more efficient. WHAT YOU CAN EXPECT - Meaningful Impact: Your work directly contributes to building the core infrastructure behind a new generation of ventures - enabling equitable, AI-native innovation across the Global South. - Collaborative Culture: We thrive on openness, curiosity, and collective intelligence. Everyone has a voice, and decisions are made transparently. - Growth Mindset: From AI learning and use budgets to mentorship, we invest in your development and help you grow beyond your comfort zone. - Competitive Rewards: Tax-free compensation, private health and travel insurance, and a benefits package designed for both security and flexibility. - Wellbeing First: Generous PTO, flexible hybrid setup, and wellness programs to help you stay balanced. - Work-Life Integration: Office lunches twice a week, great snacks, and team meetups that keep energy and connection high. - Global Exposure: Occasional travel across Southeast Asia, Africa, and the Middle East for meaningful, on-ground collaboration with venture teams. - Inclusive by Design: We celebrate diversity and are committed to building an environment where everyone belongs. WHY THIS ROLE MATTERS You'll be building the operating system for AI-native venture creation — the foundation that founders across the Global South will use to build the next generation of companies. Your work will power Utopia OS and enable innovation aligned with Qatar's Vision 2030 for a digital, knowledge-based economy. Your work will accelerate venture build time and reduce technical duplication across the Studio — measurable through faster deployment cycles, improved reliability, and reusable systems. WHO THIS ROLE ISN’T RIGHT FOR If you prefer working in rigid environments, or need fully defined specs before shipping, this may not be the right fit. We move fast, operate with high trust, and expect engineers to take ownership from architecture through to production. THE UTOPIA PLATFORM ADVANTAGE The Studio is part of Utopia Capital’s integrated venture platform designed to solve the biggest friction points in emerging market venture creation. Most founders face a broken journey: they struggle to build with limited resources, chase capital across disconnected investors, and lack the infrastructure to scale across regions. We've built a different system. The Studio co-builds ventures with domain experts using AI-native infrastructure, compressing the path from concept to product. The Radical Fund and A-typical Ventures provide fast, aligned capital from pre-seed through Series A, removing fundraising friction at every stage. And Utopia OS — our shared technical backbone — gives every venture access to the same tools, data systems, and regional networks that would normally take years and millions to build. This means founders can focus on solving real problems while we handle the build infrastructure, capital coordination, and cross-regional expansion. It's a compounding system: each venture we build makes the next one faster, smarter, and more capital-efficient. That's the platform advantage that you will be part of and contribute to, purpose-built for the complexity of the Global South. We believe innovation should be inclusive and globally distributed. Our team is built on openness, curiosity, and collaboration — with people from across the GCC, Africa, and Southeast Asia working together to build meaningful ventures. All roles are based in Doha, Qatar, with flexible hybrid options and global travel opportunities (unless otherwise stated). We welcome talent from every background to join us in shaping the future of AI-native innovation.

Location: Missoula, MT *$4000 Signing Bonus* Service Area: Missoula, MT and surrounding cities Salary Starting at $75k /year and up based on experience Monthly bonus based on productivity and profits / Overtime potential Why Work for CaptiveAire? Nation’s leading manufacturer of commercial kitchen ventilation systems, and now offering a complete solution of fans, heaters, ductwork and HVAC equipment. Our primary purpose is to provide fully integrated, sustainable HVAC Systems. Leader in the industry for over 40 years with innovative technologies, unmatched service, competitive pricing, and rapid lead times. Mission: to provide the highest quality products and service to our users at the lowest possible price Strong commitment to the development of our employees, including continuous education opportunities like product specific training, and company developed technical videos. We care about our employees. Safety is our number one priority within CAS. Our employees are provided with extensive safety training and given all necessary equipment to maintain safe working conditions at all times. Key Responsibilities Commissioning of CaptiveAire Equipment: Verifying CAS products operate as designed by testing airflows, reviewing installations, testing product functions by connecting laptops and running automated test, and physical testing of all equipment. Service & Repair: Troubleshoot, diagnose, service, and repair commercial HVAC/R systems. Maintenance: Develop, maintain, and perform routine preventive maintenance on various commercial mechanical systems to ensure optimal efficiency and operation. Diagnostics: Read and interpret electrical schematics, mechanical blueprints, and technical manuals to diagnose complex system issues. Customer Care: Communicate clearly and professionally with facility managers, property owners, and team members regarding system status, required repairs, and maintenance recommendations. Compliance & Safety : This is a safety sensitive position with strict adherence to EPA regulations and company safety standards at all times. Qualifications & Requirements Experience: Minimum 2 years of hands-on experience servicing commercial HVAC systems, or related experience. Certifications Valid Driver’s License with a clean driving record ( required ) OSHA 10 Certification (suggested) EPA Universal Certification (suggested) Technical Skills: Strong understanding of single/three-phase electrical systems, ability to read commercial wiring schematics, refrigeration cycles. Physical Demands: Ability to lift independently, up to 50 lbs., work on ladders/roofs, tight spaces, and perform work in varied weather conditions. Soft Skills: Excellent troubleshooting skills, attention to detail, and strong verbal/written communication skills, and must be a safety minded individual. Clean and Professional appearance: Company uniforms are provided and required. Training: New hire training will require a 1-week course at our R&D facility located in PA. Ability to travel with be required. Benefits Package Stable Schedule: Full-Time, year-round schedule Health & Wellness: Medical, Dental, Vision coverage; $100,000 Life Insurance and Long-Term Disability with medical election; Employee Assistance Program Financial Benefits: 401k with employer match; Flexible Spending Account (FSA) Time Off: Nine (9) paid holidays; Paid Time Off (PTO) for vacation, personal, bereavement, and sick days, based upon tenure Recognition & Rewards: Tenure Award; Employee Referral Bonus Company-Provided Equipment: Uniform shirts; Safety footwear and prescription safety eyewear subsidy; Work vehicle with gas card, tools and technical equipment to include iPhone, iPad/laptop What our employees have to say “What I love about CaptiveAire is that we are constantly raising industry standards and at the forefront of innovation utilizing new technologies and implementing new procedures to provide the best product to our customers.” – Field Service Technician “I love that CaptiveAire gives back as much as you put in. We are constantly on the rise in the industry and there is always something new to be learned.”- Field Service Technician “I enjoy the challenges that arise as a service technician and being able to see the satisfaction in the customer's eyes when I tell them the issue has been resolved.” – Field Service Technician Learn more about CaptiveAire and our products on our website: www.captiveaire.com Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We evaluate applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other factor prohibited by law. To qualify, applicants must be legally authorized to work in the United States. At this time, we are unable to consider applicants that require sponsorship, now or in the future, for employment visa status. #HP1 #L1-TL1

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Growth engineering builds the systems and applications that power every growth channel at Ramp. As an engineer on this team, you’ll own foundational problems ranging from high volume data ingestion and interfaces to customer-facing applications and AI-powered workflows. You’ll partner closely with product, data, and design, and work directly with stakeholders across growth, sales, and finance. This role offers high ownership, broad technical scope, and the opportunity to directly shape Ramp’s growth engine and scale Ramp to its next millions of users. Check out our Engineering Blog https://builders.ramp.com/ to learn more about our tech stack, mission, and values! WHAT YOU’LL DO - Build software that helps grow Ramp to its next millions of users - Build and scale internal platforms and applications (e.g. workflow orchestration, incentives, sales and marketing apps) that power growth across the company - Design and maintain data ingestion and activation pipelines across Ramp products, internal business systems, external systems, and third-party data - Apply AI/LLMs to unstructured data processing, automation, personalization, and growth signal derivation - Drive business outcomes through experiments and metric-driven software development - Make thoughtful prioritization and scoping decisions around when to build custom solutions vs. leverage third-party tools - Work in a fast-moving, collaborative engineering team alongside partners in product, data, and design WHAT YOU NEED - Minimum of 3 years of experience in a software development role - Experience shipping fast, reliable applications using modern development tools and infrastructure - Comfort operating in a fast-paced, constantly evolving startup environment - Ability to improvise and develop creative solutions when standard approaches fall short; strong bias toward pragmatism in the face of uncertainty - Perpetual curiosity and a passion for continuously improving your craft NICE-TO-HAVES - Startup experience as a technical co-founder or early engineer - Experience with the modern data stack (e.g. ETL tools like Fivetran, workflow orchestrators like Airflow, data platforms like Snowflake) - Experience applying AI/LLMs in production environments - Strong perspective on the engineering development lifecycle (system design, documentation, testing, and long-term codebase health) - Experience building user-facing data or internal business applications - Familiarity with tools that power marketing and sales automation, personalization, and analytics BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Helena, MT *$4000 Signing Bonus* Service Area: Helena, MT and surrounding cities Salary Starting at $75k /year and up based on experience Monthly bonus based on productivity and profits / Overtime potential Why Work for CaptiveAire? Nation’s leading manufacturer of commercial kitchen ventilation systems, and now offering a complete solution of fans, heaters, ductwork and HVAC equipment. Our primary purpose is to provide fully integrated, sustainable HVAC Systems. Leader in the industry for over 40 years with innovative technologies, unmatched service, competitive pricing, and rapid lead times. Mission: to provide the highest quality products and service to our users at the lowest possible price Strong commitment to the development of our employees, including continuous education opportunities like product specific training, and company developed technical videos. We care about our employees. Safety is our number one priority within CAS. Our employees are provided with extensive safety training and given all necessary equipment to maintain safe working conditions at all times. Key Responsibilities Commissioning of CaptiveAire Equipment: Verifying CAS products operate as designed by testing airflows, reviewing installations, testing product functions by connecting laptops and running automated test, and physical testing of all equipment. Service & Repair: Troubleshoot, diagnose, service, and repair commercial HVAC/R systems. Maintenance: Develop, maintain, and perform routine preventive maintenance on various commercial mechanical systems to ensure optimal efficiency and operation. Diagnostics: Read and interpret electrical schematics, mechanical blueprints, and technical manuals to diagnose complex system issues. Customer Care: Communicate clearly and professionally with facility managers, property owners, and team members regarding system status, required repairs, and maintenance recommendations. Compliance & Safety : This is a safety sensitive position with strict adherence to EPA regulations and company safety standards at all times. Qualifications & Requirements Experience: Minimum 2 years of hands-on experience servicing commercial HVAC systems, or related experience. Certifications Valid Driver’s License with a clean driving record ( required ) OSHA 10 Certification (suggested) EPA Universal Certification (suggested) Technical Skills: Strong understanding of single/three-phase electrical systems, ability to read commercial wiring schematics, refrigeration cycles. Physical Demands: Ability to lift independently, up to 50 lbs., work on ladders/roofs, tight spaces, and perform work in varied weather conditions. Soft Skills: Excellent troubleshooting skills, attention to detail, and strong verbal/written communication skills, and must be a safety minded individual. Clean and Professional appearance: Company uniforms are provided and required. Training: New hire training will require a 1-week course at our R&D facility located in PA. Ability to travel with be required. Benefits Package Stable Schedule: Full-Time, year-round schedule Health & Wellness: Medical, Dental, Vision coverage; $100,000 Life Insurance and Long-Term Disability with medical election; Employee Assistance Program Financial Benefits: 401k with employer match; Flexible Spending Account (FSA) Time Off: Nine (9) paid holidays; Paid Time Off (PTO) for vacation, personal, bereavement, and sick days, based upon tenure Recognition & Rewards: Tenure Award; Employee Referral Bonus Company-Provided Equipment: Uniform shirts; Safety footwear and prescription safety eyewear subsidy; Work vehicle with gas card, tools and technical equipment to include iPhone, iPad/laptop What our employees have to say “What I love about CaptiveAire is that we are constantly raising industry standards and at the forefront of innovation utilizing new technologies and implementing new procedures to provide the best product to our customers.” – Field Service Technician “I love that CaptiveAire gives back as much as you put in. We are constantly on the rise in the industry and there is always something new to be learned.”- Field Service Technician “I enjoy the challenges that arise as a service technician and being able to see the satisfaction in the customer's eyes when I tell them the issue has been resolved.” – Field Service Technician Learn more about CaptiveAire and our products on our website: www.captiveaire.com Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We evaluate applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other factor prohibited by law. To qualify, applicants must be legally authorized to work in the United States. At this time, we are unable to consider applicants that require sponsorship, now or in the future, for employment visa status. #HP1 #L1-TL1

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Software Engineer on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack EXAMPLE INITIATIVES Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ RESPONSIBILITIES - Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking) - Partner closely with developers and research engineers to translate complex training requirements into technical solutions - Design and architect a global training scheduler - Design and architect reinforcement learning systems and continuous learning pipelines - Drive long-term improvements to increase reliability of systems and velocity of development - Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure - Make critical architectural decisions balancing performance with system reliability - Lead technical discussions and mentor junior engineers on infrastructure best practices - Contribute to long-term technical strategy and infrastructure roadmap REQUIREMENTS - Bachelor’s degree or higher in Computer Science or related field - 5+ years of experience - Proficiency in Go, with - Deep expertise with Kubernetes in production environments - Advanced understanding of distributed systems concepts and performance tuning - Proven experience designing observability systems - Experience with ML/AI workloads and MLOps platforms NICE TO HAVE - Experience with distributed storage systems - Python experience a plus - Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) - Experience with workload orchestration platforms like Temporal or Airflow - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. Within the Data team, you’ll join the BI/Prediction Team which is an autonomous squad of around 10 people. The team is composed of top-tier product managers, software & data engineers, data scientists and data analysts. ROLE The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate senior data scientist with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. - Take ownership of our products modeling pipelines - Contribute to high modeling performance through insightful ideas and initiatives. - Build and deploy quickly scalable ML systems. - Engage with colleagues across the company to leverage new ideas and perspectives and demonstrate excellent communication to efficiently cooperate with product managers, teammates and stakeholders. - Deep dive into data to discover relevant insights. - Build a rich understanding of the mobile gaming industry, the company strategy, our products and their fit within the company’s daily operations. - Mentor and guide a team of data scientists, fostering technical excellence and autonomy. - Establish and enforce best practices in ML engineering, experimentation, and reproducibility across projects. - Champion a culture of impact-driven research, ensuring models not only perform well technically but also create tangible business value. - Proactively identify risks in modeling approaches, data quality, scalability, business alignment and design mitigation strategies. PROFILE - Extensive experience building machine learning systems - Extensive experience with Python, SQL and MLOps best practices - Cloud experience needed (ideally AWS but could be another cloud provider) - Airflow and DBT experience is a nice to have - Excellent Communication in English and French mandatory - You enjoy working in a team, learning new things, sharing knowledge - Experience in a tech startup/scaleup is a plus - Strong achievements on Kaggle will be valued BENEFITS - Competitive salary - Comprehensive relocation package (including visa support) - Premium healthcare (SideCare) for you and your family 100% borne by Voodoo - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Wellness activities in our Paris office - Unlimited vacation policy - Remote days - Child daycare facilities (Les Petits Chaperons rouges)

Location: Limassol, Cyprus We are looking for a Data Governance Analyst to join our team.RequirementsBusiness Metrics & Data Governance: experience documenting and standardizing business metrics, KPIs, business glossary, and business logic to establish a single source of truth across the organization.Data Quality: hands-on experience translating business requirements into measurable Data Quality rules and implementing automated validation using Great Expectations, Soda, dbt Tests, or similar frameworks.SQL & Python: strong SQL and Python skills for data validation, automation, framework development, and root cause analysis of data quality issues.Metadata Management: experience with data catalog and metadata management platforms (OpenMetadata, DataHub, or similar) to maintain metadata, lineage, and documentation.Data Governance Principles: solid understanding of Data Governance, Data Stewardship, Data Lineage, Metadata Management, and Data Lifecycle Management to support scalable governance practices.AI: practical experience using AI tools to automate workflows, improve productivity, and enhance data analysis and documentation processes.Nice to haveExperience with streaming technologies (Kafka, Spark, Flink).Experience with orchestration tools (Airflow, Dagster) and CI/CD.Experience with semantic/metrics layer tools (dbt Semantic Layer, Cube, LookML).Knowledge of data privacy and security standards (GDPR, CCPA).Previous experience in iGaming or FinTech.ResponsibilitiesDefine and standardize business metrics, KPIs, and business glossary together with stakeholders to ensure consistent business definitions across the company.Drive Data Governance adoption by introducing standards, best practices, and governance processes across data domains.Design and develop the company's Data Quality framework, including validation rules, monitoring, and quality standards to improve data reliability.Implement and maintain automated Data Quality checks and anomaly detection to proactively identify and resolve data issues.Build and manage the data catalog, metadata, and data lineage to improve data discoverability and transparency.Collaborate with Data Engineers to integrate Data Quality controls into data pipelines and investigate data inconsistencies across systems.We offer:High salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team The DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval. About the Role In this role you will: Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities. Take full ownership of data products, guiding them from initial concept through to stable production. Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability. Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems. Provide on-call support as needed. Qualifications: A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are: At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualisation to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Design and develop internal Data Platform components, including Data Governance center, Data Integration tools, job scheduling, and approval workflows. Build and maintain scalable backend services with high availability. Integrate with Data Warehouse, metadata, and job orchestration systems (e.g., Airflow, Flink , Spark). Develop Data Governance features such as data lineage, data quality, and access control. Write clean, maintainable code and technical documentation. Support system deployment, monitoring, and troubleshooting Requirements: At least 6 of more years of experience in a Software Engineering or Data Engineering related field Proficient in Java , Spring Boot, MyBatis/JPA, and RESTful API design. Solid experience with databases (MySQL, PostgreSQL) and distributed systems (Redis, Kafka ). Experience in data platforms, metadata, or workflow systems is a strong plus. Familiar with AWS or Alibaba cloud environments. Strong problem-solving skills and ability to take ownership of system modules. Good to have: Prior experience in Data Platform development or Data Governance systems Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Athens; Limassol; Thessaloniki; Nicosia; Fully Remote - in other eligible locations Workplace: hybrid The Role: We are looking for a skilled MLOps Engineer to join our team and play a key role in bridging the gap between our Data Science and Infrastructure teams. You will be responsible for supporting the Data Science team in MLOps-related tasks while also helping in DevOps initiatives, including CI/CD pipeline creation, provisioning of cloud resources using tools like Terraform, and Kubernetes orchestration. You will collaborate closely with data scientists and engineers to deploy data pipelines, train machine learning models, and manage their deployment within scalable cloud environments while ensuring high performance, security, and reliability throughout the ML lifecycle. The main responsibilities of the position include: Assist in designing, implementing, and maintaining scalable MLOps pipelines on AWS using services such as SageMaker , EC2 , EKS , S3 , Lambda and other relevant AWS tools Coordinate with our platform team to troubleshoot Kubernetes clusters (EKS) to orchestrate the deployment of machine learning models and other microservices Develop and maintain CI/CD pipelines for model and application deployment, testing, and monitoring Collaborate closely with Data Science, and DevOps team to streamline the model development lifecycle, from experimentation to production deployment Implement security best practices, including network security, data encryption, and role-based access controls within the AWS infrastructure Monitor, troubleshoot, and optimize data and ML pipelines to ensure high availability and performance Set up and manage model monitoring systems for performance drift, ensuring continuous model improvement Main requirements: Bachelor’s degree in Computer Science, Engineering, or related field 2+ years of hands-on experience in MLOps, DevOps, or related fields Knowledge and preferable working experience in AWS services for machine learning, such as SageMaker , EKS , S3 , EC2 , Lambda , and others Exposure to Kubernetes for container orchestration Experience with Docker Exposure to infrastructure-as-code tools such as Terraform or CloudFormation Familiarity with CI/CD tools such as GitLab CI Understanding machine learning model lifecycle Familiarity with monitoring and logging solutions like Prometheus , Grafana , CloudWatch and ELK Stack Understanding of networking concepts and cloud security best practices Proficiency in Python and Bash , and comfortable working in Linux environments Strong problem-solving and communication skills The following will be considered an advantage: Experience working with serverless architectures and event-driven processing on AWS Familiarity with advanced Kubernetes concepts such as Helm Experience with Data Engineering pipelines, ETL processes, or big data platforms Experience with ML frameworks like TensorFlow, PyTorch and Keras Experience with ML platforms like Kubeflow and/or SageMaker Experience with workflow engines like Argo Workflows and/or Airflow Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Canada Workplace: remote ABOUT YOU  You are a strategic and tactical Director of Engineering, Data, with deep expertise in data platforms and machine learning systems. You will lead a distributed team of data engineers, ML engineers, and data scientists delivering the recommendation engines, personalization systems, and data infrastructure that power products used by millions of players worldwide. The ideal candidate is a collaborative leader with strong technical foundations and a proven track record of shipping end-to-end ML systems into production. You hold the bar high for what gets shipped: reliable pipelines, reproducible models, thoughtful feature engineering, and observability built in from the start. You know how to connect model performance to real business outcomes, and you bring a low-ego, people-first approach to cross-functional work. If you're passionate about building the data and ML foundation that drives a growing global gaming platform, and want to shape how millions of players discover and engage with games, we'd love to hear from you. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Lead and grow a high-performing, distributed team of data scientists, ML engineers, and data platform engineers. Define and execute the data science and ad tech roadmap, advancing initiatives in user modeling, campaign optimization, targeting, and personalization. Architect and manage ML pipelines and experimentation frameworks, including feature engineering, training pipelines, model serving, A/B testing, and causal inference systems. Oversee real-time pipelines for ad events (e.g., impressions, clicks, conversions), enabling responsive attribution and performance optimization. Collaborate with Product, Growth, and Marketing to develop audience scoring, LTV/churn models, and incrementality testing for media measurement and bidding efficiency. Ensure scalable, privacy-compliant data infrastructure aligned with GDPR, CCPA, and ATT, including support for SKAdNetwork, CMPs, and identity frameworks. Foster engineering excellence with a focus on reproducibility, model evaluation, observability, and model lifecycle management. Drive a strong feedback loop between experimentation and business outcomes, translating data science insights into product and go-to-market wins. Mentor engineers and scientists on career development, technical depth, and cross-functional leadership. Qualifications & Skills: 5+ years of experience in software/data engineering or applied data science, with 3+ years managing technical teams in ML, analytics, or ad tech domains. Deep understanding of machine learning and statistical modeling, including regression, classification, causal inference, uplift modeling, and forecasting. Hands-on experience with ML/data platforms such as Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, and feature stores. Proven experience in architecting and deploying end-to-end ML systems into production (batch and real-time). Knowledge of ad tech ecosystems, including campaign hierarchies, attribution models (multi-touch, view-through), and creative performance tracking. Familiarity with audience management, segmentation, and personalization frameworks in programmatic or CRM marketing. Experience with privacy-preserving measurement, including support for SKAdNetwork, GAID/IDFA deprecation, and consent systems. Excellent leadership, communication, and stakeholder management skills across technical and non-technical audiences. Bachelor’s or Master’s in Computer Science, Engineering, Statistics, or a related field. PhD is a plus. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Engineering Manager, Data, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Working with vulnerable populations Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: ES - Barcelona, Spain Scopely is seeking a highly motivated Analytics Engineer to join our Playgami team in Barcelona on a hybrid basis ! At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami is building the best SaaS gaming platform ever! The team strives to create the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC. What You’ll Do We collaborate with engineers, product teams, and analysts to create self-serve insight products that are fast, accurate, and elastic at a petabyte-scale We work across the full data product lifecycle: designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards We are stewards of data quality, ensuring that metrics are consistently reported across the catalog of data products We work with cutting-edge tech (BigQuery, dbt, Looker) We look forward and back, applying tools like BQML to predict player behavior We empathize with our game product teams and departments to make their daily work more enjoyable and their products more successful We often specialize in some part of the data stack and lifecycle but always aim to contribute across the full spectrum What We’re Looking For You love solving puzzles You can translate needs into analytics tech You have experience with the modern data stack (tools like BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command line-based workflows) or hunger to work in that domain You have first-class SQL skills and 3+ years of experience in a relevant role You understand the importance of data modeling, like knowing your Kimballs, your star schemas You value business context and improvement as much as you do first-class technical solutions You love collaboration and take pride in working in high-functioning teams You enjoy working in rapidly evolving, hyper-growth environments where every change presents an opportunity for us to grow You love having fun at work. Ping Pong/Mario Kart skills are a plus! At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: ES - Barcelona, Spain Scopely is seeking a highly motivated Senior Analytics Engineer to join our Playgami team in Barcelona on a hybrid basis ! At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami is building the best SaaS gaming platform ever! The team strives to build the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC. What You’ll Do Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products Utilize cutting-edge technology stack including BigQuery, dbt and Looker Provide technical leadership and empathize with game product teams and departments to enhance their daily operations and product success Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects Mentor team members and drive the adoption of best practices within the team What We’re Looking For A strong passion for solving complex analytical puzzles Proven ability to translate business needs into advanced analytics solutions Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows) Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas) A high valuation of business context and the drive to achieve technical excellence An inclination towards collaboration and pride in contributing to high-functioning teams Enjoyment in working within fast-paced, growth-oriented environments A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus! At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Amsterdam, Netherlands; London, United Kingdom 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. The role #LI-MM1 We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products. Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform. Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense. At scale today, this includes ~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute. What’s inside the platform You’ll work on a system that includes (and ties together): Distributed Storage (Cypress) : transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations. Compute & ETL : a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering. Interactive analytics (CHYT) : ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place. Dynamic Tables : low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores. Orchestracto : workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native). What you’ll do We’re looking for engineers who combine strong systems skills with product sense : understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization. In this role, you will: Design and implement new functionality in YTsaurus core (C++) with production reliability in mind. Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases. Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation. Own production quality: incident response / on-call rotation , root cause analysis, and turning learnings into durable fixes. Example projects Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth . Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection. Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows. Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability. Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths. Tech stack Core: modern C++ (C++20, async + multithreaded primitives) Services & tooling: Go and Python (microservices, utilities, integration tests) What we expect 5+ years of software engineering experience. Strong C++ skills (you’ll write core code). Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them). Experience developing and/or operating high-load, distributed services . Production mindset: ability to use SSH, read logs/metrics/traces , and debug distributed systems behavior. Solid CS fundamentals: algorithms, data structures, concurrency basics. Nice to have Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems). Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering. Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs). We conduct coding interviews as part of the process. 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: Austin; Yerevan; London Workplace: OnSite About the role Teza is a systematic trading firm developing quantitative strategies across multiple asset classes. We are looking for a Lead Infrastructure Engineer to own the platform that supports our traders, quants, and developers. This includes colocation hardware near the exchanges, research compute and developer services, and the security and release processes that connect these environments. This is a player-coach role. You will lead the infrastructure team, which includes DevOps Engineers and Infrastructure Engineers, and set its technical direction while remaining hands-on. You will provision and tune bare-metal trading servers, respond to production incidents, and review the designs and solutions your team delivers. We are not looking for a manager who delegates all technical work or an engineer who avoids leading people. We need someone who can do both and determine where their time and attention are most needed. Our platform supports active trading and research today, and we are investing in making it more robust, observable, secure, and developer-friendly. You will have significant ownership and decision-making over infrastructure tooling, standards, and priorities across the firm. Location: Austin, Texas (On-Site) What You'll Own: - Trading Infrastructure and Colocation. Oversee server procurement and lifecycle management across multiple exchange colocations. Select low-latency NICs, such as Solarflare, Exanic, and Mellanox, and kernel-bypass technologies. Develop and maintain Linux tuning standards for trading hosts, including CPU isolation, NUMA-aware pinning, IRQ affinity, and BIOS and kernel settings. Manage hardware failures, spare capacity, and capacity planning. - Research and Developer Platform. Oversee compute orchestration for researchers and data engineers, including Slurm for HPC, machine learning, and GPU workloads; Hadoop for batch processing; and Airflow for workflow scheduling. Support shared services such as JupyterHub, databases, artifact storage, and large-dataset storage. Determine when Kubernetes is appropriate and when alternative approaches are better suited. - Security. Establish and maintain access controls for production trading hosts in colocation. Manage network segmentation across colocation, corporate, and research environments. Oversee secrets management for exchange credentials, API keys, and certificates, including rotation, auditing, and deployment integration. Lead vulnerability management, patching for systems that cannot be routinely rebooted, intrusion detection, and incident response. - Releases and Deployment. Define how trading strategies, data pipelines, and real-time trading systems move from development into production. Establish rollback procedures and release processes for infrastructure changes, including kernels, firmware, and NIC drivers. Oversee infrastructure-as-code pipelines and coordinate releases with the trading calendar. - Operational Maturity. Establish the on-call model and escalation paths. Improve observability across internal services through metrics, logging, tracing, and alerting. Lead incident response and blameless post-mortems, ensuring action items are tracked and completed. - Hybrid Infrastructure. Oversee colocation infrastructure for trading, along with on-premises and cloud environments supporting research and corporate workloads. Evaluate the tradeoffs between these environments, manage cloud costs, and establish disaster recovery plans with defined recovery time objectives (RTOs) and recovery point objectives (RPOs). - The Team. Hire, develop, and retain infrastructure engineers. Set priorities across trading performance and latency, research compute needs, and operational tooling. Represent the infrastructure team and its priorities across the firm. What We're Building Toward: These are the shared goals of the infrastructure team. DevOps Engineers and Infrastructure Engineers execute against them, while you set the technical approach, establish priorities, and drive progress. - Full-stack observability across internal services, including unified metrics, centralized logging, distributed tracing, and actionable alerting. - Reliable, self-service compute orchestration across Slurm, Hadoop, and Airflow, enabling researchers and data engineers to run workloads at scale without unnecessary infrastructure bottlenecks. - Mature secrets management for trading credentials, API keys, certificates, and service-to-service authentication, with rotation, auditing, and deployment integration. - Unified release pipelines that standardize how trading strategies, data pipelines, and real-time trading systems move from development to production. - A well-maintained platform foundation that includes identity management, GitHub Actions runners, VPN, and observability tooling, with updates delivered safely and without disrupting active trading. - A strong security posture across production and research environments, with security practices that evolve alongside the platform rather than being added after the fact. Basic Requirements: - Experience operating infrastructure for a trading firm or another environment with strict uptime and latency requirements, including hands-on experience with colocation hardware and bare-metal Linux servers. - Deep, demonstrable expertise in low-latency Linux, including kernel and network tuning, CPU and NUMA isolation, IRQ affinity, and kernel-bypass NICs and technologies such as Solarflare/Onload, Exanic, and Mellanox/DPDK. You must also have the measurement discipline to validate performance improvements. - Experience leading an infrastructure, DevOps, or SRE team, including hiring, setting priorities, and taking accountability for outcomes while remaining a hands-on technical contributor. - Experience building and operating internal platform services for development and research teams, including CI/CD, compute, storage, monitoring, and developer tooling. Experience consuming these services alone is not sufficient. - Strong Linux systems administration skills and experience with container orchestration technologies such as Docker and Kubernetes. You should understand where containers are appropriate in a trading environment and where they are not. - Familiarity with machine learning and data-intensive workflows, including GPU scheduling, large-dataset access patterns, and reproducible compute environments. - Experience designing and operating hybrid infrastructure across colocation, on-premises, and at least one major cloud provider, such as AWS, GCP, or Azure. You should understand the tradeoffs between these environments. - A practical, mature approach to infrastructure security, including access control models such as zero-trust and bastion hosts, network segmentation, secrets management, vulnerability scanning, patch management, audit logging, and incident response. - Hands-on programming experience in Python or another scripting language, with the ability to build tooling, automation, and infrastructure-as-code solutions rather than simply execute existing playbooks. - A solid understanding of core network protocols and services, including TCP/IP, multicast market data delivery, DNS, LDAP, Kerberos, TLS, HTTP, and SSH. - A track record of managing structured on-call and incident response processes, including escalation paths, post-mortems, and follow-through on action items.   Nice to Have: - Experience with FPGA-based or other hardware-accelerated market data and order-entry systems. - Experience with HPC storage and networking, including NFS at scale, parallel filesystems, and InfiniBand. - Familiarity with infrastructure-as-code tools such as Terraform, Pulumi, and Ansible. - Experience with log aggregation and security information and event management (SIEM) systems. - Understanding of compliance frameworks relevant to financial services.   Benefits -  Health, visual and dental insurance -  Flexible sick time policy

Location: Москва Наша команды запускает масштабный проект по разработке нового продукта класса ERP для учёта и планирования хозяйственной деятельности. Проект полного цикла от подготовки требований до внедрения и сопровождения. Создание нового конкурентного продукта на современном тех. стеке Platfom V! Молодая и энергичная команда для которой Agile не просто термин, а идеология. Обязанности * разрабатывать и защищать архитектурные решения * проектировать интеграционные взаимодействия * проектировать инфраструктуру сервисов * обеспечивать развитие системы отчетности и КХД * проектировать инструменты для работы с данными (ETL/ELT-фреймворки, процессы CI/CD) * участвовать в проектировании детального слоя и аналитических витрин (аналитическая, операционная, регуляторная отчетность) с помощью инструментов банка * техническое лидерство в продуктовой команде. Требования * **Solution Архитектура** * опыт работы не менее 3-х лет в области проектирования информационных систем * проектирование API протоколов (RESTful API/JSON-RPC) * опыт проектирования интеграционных взаимодействий на базе Apache Kafka * опыт концептуального построения инфраструктуры приложений * оценка и оптимизация производительности систем * опыт моделирования и документирования решений (Confluence, BPML, UML, Draw.io). * **Data Архитектура** * проектирование детального слоя, витрин (аналитическая, операционная, регуляторная отчетность) * опыт работы с инструментами хранения данных (Clickhouse, PostgreSQL), умение проектировать КХД на базе этих инструментов * знание ETL/ELT-инструментов на уровне проектирования архитектуры (Apache Nifi/Apache Airflow) * опыт работы c MPP системами (Greenplum, Hadoop) * практический опыт разработки, тестирования, оптимизации и мониторинга ETL/ELT-процессов (приветствуется). Условия * конкурентная заработная плата: оклад + бонусы * масштабные и интересные задачи в agile команде * ДМС для сотрудников и скидки на медицинскую страховку для родственников * бесплатный тренажерный зал и спортивные групповые занятия * дисконт-программы от компаний партнеров: фитнес, страхование, туризм * обучение и тренинги * профессиональный и позитивный коллектив