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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

Location: Montevideo WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking an exceptional individual to work as a Quantitative Developer in a high performance business-embedded tech team. Working closely with Technologists and Researchers, building complex data pipelines and frameworks for strategy and performance analytics. A successful candidate will bring a strong quant dev skillset with the best design / implementation principles and ability to quickly acquire in-depth domain knowledge. What You’ll Bring: 5+ years of hands-on experience as a developer Strong Data Structures, Algorithms, and Maths fundamentals Knowledge of Python and Linux/Unix platforms; familiarity with scripting languages. Familiarity with technologies related to data processing such as numpy, pandas, Airflow, Kubernetes, etc. Exceptional communication skills in both verbal and written form. Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture. Motivated by the transformational effects of technology-at-scale. Experience in finance is a plus but not required What We Offer: Competitive compensation package . Core benefits include: premium private health insurance. Strong culture of learning and development: training courses, guest speakers, share and learn events, etc. Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams. Dynamic work without routine in a leading international company. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances. Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion. What your day will look like Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer Design, build and maintain solutions that will be deployed on public and private clouds and local workstations Master distributed systems concepts such as observability, identity, tracing Work with both Kubernetes and machine-oriented open source applications Collaborate proactively with a distributed team of engineers, designers and product managers Debug issues and interact in public with upstream and Ubuntu communities Generate and discuss ideas, and collaborate on finding good solutions What we are looking for in you Professional or academic software delivery using Python Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks long Additional skills that would be nice to have The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them. Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud. Hands-on experience with machine learning libraries, or tools. Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing Passionate about software quality and testing Experience working on an open source project What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Limassol Wisebits — is an international IT holding with a strong technical team! Our key product is a high-load video hosting platform used by millions of people worldwide every day. With over 15 years on the market, we’ve built a professional team that values engagement and initiative. If you’re excited about working with a high-load product and want to have an impact on its development, join us! We are looking for an experienced Data Analyst who will help us make key product and business decisions based on data. In this role, you will have the freedom to influence metrics, experiments, and the development of the company’s analytics culture. What you'll be working on: Defining and developing key product metrics. Generating data-driven insights to support product and business decisions. Designing, launching, and analyzing A/B tests, from hypothesis formulation to final results. Monitoring key metrics and identifying anomalies or trends. Writing SQL and Python code to extract, transform, and analyze data. Participating in the implementation of new tracking events and parameters. Working closely with product managers, analysts, designers, data scientists, and data engineers. What we expect from you: 5+ years of experience in analytics. Deep understanding of A/B experiments and statistics. Strong knowledge of Python and SQL. Experience working with ClickHouse and large volumes of data. Ability to translate business questions into metrics and reports. Experience with Google Analytics, Amplitude, or similar tools. Experience with Airflow, preferably together with dbt. Nice to have: Experience implementing data governance practices. Experience using ML approaches in analytics. Experience managing teams, such as data engineers, data scientists, or product analysts. What we offer: No bureaucracy — flexible working conditions. An extended benefits package, including medical insurance, tax coverage, foreign language courses, professional training, and all necessary work equipment. Relocation support: we cover relocation expenses for you and your family, including tickets, visa support, and the first month of accommodation. A friendly international team that values professionalism and collaboration. Here, you won’t just analyze numbers — you’ll have a real impact on the product and the business. Work format: Remote / On-site Salary: From €4,000 net per month. The final compensation level may be higher and depends on relevant experience, skills, and overall match with the role requirements.

Location: Limassol Wisebits — is an international IT holding with a strong technical team! Our key product is a high-load video hosting platform used by millions of people worldwide every day. With over 15 years on the market, we’ve built a professional team that values engagement and initiative. If you’re excited about working with a high-load product and want to have an impact on its development, join us! What you'll be working on: Participating in the development and improvement of recommendation systems, including user-item, item-item, and cross-platform recommendations. Optimizing recommendations on category, channel, and tag pages. Building text-to-video search: embedding models, ranking, and semantic search. Turning ML prototypes into production services: inference optimization, profiling, feature preparation, and model quality control. Developing high-load ML services in Python, including gRPC/Triton-based services. Our stack: Languages and libraries: Python, PyTorch, CatBoost, NumPy, Pandas, Polars, CuDF, CuPy. Infrastructure and deployment: Kubernetes, Docker, Airflow, Triton Inference Server. Data storage: ClickHouse, MySQL. What we expect from you: 2+ years of experience with recommendation systems, search, or related ML tasks. Strong knowledge of Python and ML frameworks, such as PyTorch, CatBoost, etc. Experience deploying models to production. Understanding of offline and online model evaluation principles. What we offer: Work on an ML product used by millions of users, with real product metrics. A compact team where every engineer has an impact on the product and can develop expertise across several areas. Experienced colleagues to discuss ideas with, think through solutions together, and launch new projects and features. A simple structure — minimum bureaucracy, maximum ownership. Benefits package: medical insurance, tax compensation, professional training, work equipment, and language courses. Relocation to Cyprus: visa support, relocation coverage, tickets, and the first month of accommodation. Flexible schedule, a comfortable atmosphere, and team support. Work format: Remote / On-site Salary: From €4,000 net per month. The final compensation level may be higher and depends on relevant experience, skills, and overall match with the role requirements.

Location: Warsaw, PL We are looking for a Data Engineer to design, develop, and optimize our data infrastructure on Databricks. You will architect scalable pipelines using BigQuery, Google Cloud Storage, Apache Airflow, dbt, Dataflow, and Pub/Sub, ensuring high availability and performance across our ETL/ELT processes. You will leverage Great Expectations to enforce data quality standards. The role also involves building our Data Mart (Data Mach) environment and implementing CI/CD best practices. A successful candidate has extensive knowledge of cloud-native data solutions, strong proficiency with ETL/ELT frameworks (including dbt), and a passion for building robust, cost-effective pipelines. Responsibilities Data Architecture & Strategy – Define and implement the overall data architecture on GCP, including data warehousing in BigQuery/Databricks, data lake patterns in Google Cloud Storage, and Data Mart (Data Mach) solutions. Integrate Terraform for Infrastructure as Code to provision and manage cloud resources efficiently. Establish both batch and real-time data processing frameworks to ensure reliability, scalability, and cost efficiency. Pipeline Development & Orchestration – Design, build, and optimize ETL/ELT pipelines using Apache Airflow for workflow orchestration. Implement dbt (Data Build Tool) transformations to maintain version-controlled data models in BigQuery, ensuring consistency and reliability across the data pipeline. Use Google Dataflow (based on Apache Beam) and Pub/Sub for large-scale streaming/batch data processing and ingestion. Automate job scheduling and data transformations to deliver timely insights for analytics, machine learning, and reporting. Event-Driven & Microservices Architecture – Implement event-driven or asynchronous data workflows between microservices. Employ Docker and Kubernetes (K8s) for containerization and orchestration, enabling flexible and efficient microservices-based data workflows. Implement CI/CD pipelines for streamlined development, testing, and deployment of data engineering components. Data Quality, Governance & Security – Enforce data quality standards using Great Expectations or similar frameworks, defining and validating expectations for critical datasets. Define and uphold metadata management, data lineage, and auditing standards to ensure trustworthy datasets. Implement security best practices, including encryption at rest and in transit, Identity and Access Management (IAM), and compliance with GDPR or CCPA where applicable. Scientists & Analytics Enablement – Collaborate with Data Science, Analytics, and Product teams to ensure the data infrastructure supports advanced analytics, including machine learning initiatives. Maintain Data Mart (Data Mach) environments that cater to specific business domains, optimizing access and performance for key stakeholders. Requirements 1. Experience – 3+ years of professional experience in data engineering, with at least 1 year in mobile data 2. Technical Expertise with GCP Stack – Proven track record building and maintaining BigQuery environments and Google Cloud Storage based data lakes. – Deep knowledge of Apache Airflow for scheduling/orchestration and ETL/ELT design. – Experience implementing dbt for data transformations, RabbitMQ for event-driven workflows, and Pub/Sub + Dataflow for streaming/batch data pipelines. – Familiarity with designing and implementing Data Mart (Data Mach) solutions, as well as using Terraform for IaC. 3. Programming & Containerization – Strong coding capabilities in Python, Java, or Scala, plus scripting for automation. – Experience with Docker and Kubernetes (K8s) for containerizing data-related services. – Hands-on with CI/CD pipelines and DevOps tools (e.g., Terraform, Ansible, Jenkins, GitLab CI) to manage infrastructure and deployments. 4. Data Quality & Governance – Proficiency in Great Expectations (or similar) to define and enforce data quality standards. – Expertise in designing systems for data lineage, metadata management, and compliance (GDPR, CCPA). – Strong understanding of OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems. 5. Communication – Excellent communication skills for both technical and non-technical audiences. – High level of organization, self-motivation, and problem-solving aptitude. What we offer Competitive compensation based on your experience and expertise Long-term contract-based collaboration A collaborative and open environment Flexible collaboration arrangements