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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: Global Remote Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. Tens of thousands of companies use Metabase every day to answer questions about their data. While we seek to become the de-facto self-managed open source analytics software for organizations everywhere, many customers want an ability to use Metabase without worrying about the operational details of self-hosting. That’s why we recently launched our Metabase Cloud product. We’re looking for operations engineers to help build out and run our new and quickly growing ‘Metabase Cloud’ hosted product. You will: Own and operate our application stack and AWS infrastructure to orchestrate and manage our hosted customer instances of Metabase Debug runtime issues across the different levels of our application stack and hosting stack. Develop and build our internal tooling and automation to manage the lifecycle of a hosted Metabase installation, from purchase to deployment, zero-downtime upgrades, and general operational health Continuously improve our automated deployments and testing We're looking for someone who: Is thoughtful and careful Compulsively automates everything and documents it Is able to make solid technical judgements and back them up articulately Has at least 5 years of experience building and operating production infrastructure, ideally on public cloud Strong Kubernetes and AWS experience Strong experience with IaC and Terraform Can write high quality and readable code in a modern language (e.g. Python, Go, etc.) Experience with modern monitoring stacks (e.g Prometheus/Grafana/Datadog) Projects you could work on: Multi-region hosting Automate EKS cluster provisioning Extend our CRDs and Operators Improve the RDS sharding strategy for our multi-tenant platform Unify and improve our CI/CD platforms Collaborate with core application developers on changes to improve our application metrics, deployment speeds and CI integration. Maintain our SOC2 compliance and security posture Compensation The US base salary range for this role is $97K–$200K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Location: Home Based - Shenzhen, China Role Summary Ubuntu is the most widely used Linux for innovation from cloud to connected device. Our growing team of IoT field engineers help customers deliver sophisticated IoT products and services across a wide range of industries - from autonomous vehicles to refrigeration solutions. Field engineers carry a significant responsibility - helping customers understand the range of silicon and board options, helping them deliver their unique applications, and helping them ensure the security of critical infrastructure. Our team hires software engineers with experience in the full stack of Linux from firmware to GUI. We represent Canonical and its capabilities to some of the most important companies in the world. Our customers have tremendously varied goals - from mission critical and very expensive machines to tiny and low-cost things. We aim to bring the right insights at each stage of the process and to help these customers make effective choices. Most importantly, we aim to help them deliver devices that meet their business goals, on time. Responsibilities include consulting, developing, demonstrating, and presenting some of the most advanced operating systems and application technologies available in the enterprise world. The role is a fast-paced, problem-solving environment and the questions require answers can be challenging yet very exciting. The right candidate must be resourceful, quick-thinking, and able to deliver on a wide variety of solutions across cloud, server, desktop and IoT technologies. This role will support customers in China and the broader Asia-Pacific market. Key Responsibilities and Accountabilities Build strategic relationships with key technology partners and customers Conduct yourself as a trusted technical advisor Apply expertise in analysing a customer's business or technical challenges and correctly map the appropriate solution Leverage deep knowledge of Ubuntu and related technologies to provide technical subject matter expertise to sales staff, partners, and customers for the development and implementation of complex IoT products and end-end solutions Work in conjunction with Canonical’s IoT and Cloud sales, delivery and business development teams to grow existing customer accounts as well as winning new customers, including the interaction with other offices in APAC (Taipei, Tokyo and Beijing). Develop and present technical sales collateral such as presentations, how-to guides, and technical competitive documents to project teams. Propose and present custom technical solutions to Canonical’s clients and partners based upon Ubuntu technologies such as Ubuntu Core, Snaps and other Canonical technologies. Understand and champion the technical knowledge and product skills required to meet customer requirements and close new business. Assist in coordinating and preparing responses to RFx documents. Based in Shenzhen, travel required; mix of domestic and international up to 30%. Required Skills and Experience A degree in engineering, preferably computer science or software engineering 2 years experience in enterprise or commercial software development with Linux Excellent communication and presentation skills - both to customers and in support of technology and industry conferences. Skills in supporting complex sales cycles what involve detailed technical requirements, multiple technical stakeholders and new innovative product designs. Ability to interpret customer business challenges and technical issues and effectively communicate how a solution will align to their needs and requirements. Experience of deploying embedded and IoT solutions - from hardware, operating systems through applications and cloud services. Understanding of security issues in the IoT industry. Understanding of the Linux kernel: modules, BSPs, etc. Familiarity with x86 and ARM SoC architectures and vendors. Experience of working in verticals such as automotive, robotics, gateway, networking, industrial and digital signage. 5+ years of experience in technical roles with Linux, preferably Ubuntu Open source & Linux Familiarity with open source development tools and methodology. A strong and demonstrated grasp of Linux technologies including advanced scripting, development and Linux software packaging experience. Familiarity with the licenses and license compliance requirements for open source software. Familiarity with boot loaders and hardware-related aspects of Linux development Strong English and Chinese language communication skills, especially in online environments such as mailing lists and social collaboration tools Ability to be productive in a globally distributed team through self-discipline and self-motivation, delivering according to a schedule. Self-driven personality.

Location: San Francisco Would you like to provide technical leadership for software development teams adopting a powerful new DevOps tool? The Koding team are looking for our first Solutions Architect to deliver hands-on technical implementation and be responsible for customer success. Koding provides instant development environments and remote collaboration for large software development teams around the globe. We believe that your development environment should be just like your production environment - in the cloud. Our development tools let entire software teams start writing code for any application in minutes, jump freely between different releases and deployment architectures, and collaborate remotely for instant pair coding and training.

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

Location: Warsaw, PL We are looking for a talented Quality Assurance Engineer to design and shape unique, user-centric software for customers across the globe. Requirements Strong understanding of QA principles, testing strategies, and manual testing methodologies (functional, regression, exploratory, smoke, UAT). Experience creating and maintaining test documentation (test cases, test plans, checklists). Experience testing Web APIs in service-oriented or microservices-based architectures. Solid understanding of REST APIs and HTTP protocol. Hands-on experience with API testing tools such as Postman or Swagger. Ability to work with JSON and XML data formats. Ability to write and execute SQL queries to validate backend data and system behavior. Understanding of CI/CD pipelines and experience working with build and deployment processes. Strong analytical skills, attention to detail, and ability to collaborate effectively with cross-functional teams. Ability to manage testing activities throughout the product lifecycle, from testing to release. English level: Upper-Intermediate or higher. Nice to have Experience validating ETL processes and data pipelines. Ability to analyze and validate data using BI tools (Power BI / Microsoft BI). Basic experience with load and performance testing tools (e.g., JMeter). What we offer Competitive compensation based on your experience and expertise Long-term contract-based collaboration A collaborative and open environment Flexible collaboration arrangements