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Location: Home based - EMEA 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 1200+ colleagues in 75+ countries and very few office-based roles. 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 a Junior developer with a proven track record in Python and/or Go. As part of the Observability team, you will develop a cloud-native monitoring stack that composes best-in-class open-source monitoring tools. The stack is opinionated, resilient, and scalable, providing deep insights out of the box. The user experience is polished and seamless for the end-users, and its administrators will enjoy smooth, lightweight Day 1 and Day 2 operations. This is an exciting opportunity for a software engineer passionate about open source software, Linux, Kubernetes, and Observability. Build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, the growing international software company behind Ubuntu. The monitoring stack will monitor applications running on a mix of cloud technologies such as Kubernetes and OpenStack, as well as bare-metal, virtual machines and containers. The stack will be capable of monitoring applications and infrastructure irrespective of whether they are operated by Juju, and will leverage multiple data sources at various levels of the architecture, including Juju itself, to contextualize the collected telemetry and insights delivered to the end-users. You can read more about the project here and here . Location: This role will be based remotely in the EMEA and Americas regions The role entails Collaborate proactively with a globally distributed team Write, test and document high quality code to create new features Debug issues and interact with a vibrant community Review code produced by other engineers Attend conferences to represent Canonical and the Charmed Observability Stack Work from home with global travel 2 to 4 weeks for internal and external events What we are looking for in you You love technology and working with brilliant people You value soft skills and are passionate, enterprising, thoughtful, and self-motivated You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree You are a skilled Python developer, preferably with a track record in open source You have a working knowledge of Go You have interest and experience with two or more of the following: Ubuntu Linux, container images, Debian packaging, snap, distributed systems. 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 recognize 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 Team Member Assistance Program & Wellness Platform 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 our 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: Barcelona, Spain; Athens, Greece; Romania; Germany; France; United Kingdom; Ireland; Italy Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Overview The German Translator role focuses on delivering high-quality translations across various content types using standard CAT tools and adhering strictly to client-specific guidelines and processes. It involves continuous quality improvement through feedback, training, and collaboration, while meeting key performance indicators in productivity, quality, and timeliness.   Job Responsibilities The following is a non-exhaustive list of responsibilities and areas of ownership for this role: Perform translations in various translation tools for assigned clients and projects Translate various types of content, e.g. marketing, help, UI, or regulated content Support the team with copy-edit tasks on selected content types Master the standard CAT tools and tools associated with translation work for internal clients (e.g.  tools for creating queries or checking the live UI elements) Precisely follow the established translation process, e.g. always raise queries when there is a need to Precisely follow the style guide and overall client requirements Improve based on the corrections made by senior team members as well as the client reviewers Keep track of personal error statistics and work on the weak spots Take part in the internal trainings and the ones organized by the clients Participate in the error arbitration process Meet the KPIs in terms of productivity, on time delivery and quality Take part in the internal quality meetings and the quality calls organized by the client for the whole team Constantly analyze own gaps and think of what assistance the senior members can provide to help address those Meet the goals set by the team manager   Experience and Skills Native-level fluency in German language Fluency in English, both written and spoken 2-4 years of experience in translation/localization/editing or content writing Good understanding of the localization process Good user experience of standard software, such as Windows and Office applications Good user experience of standard CAT tools, e.g. XTM, SDL Studio and issue tracking and query management tools, e.g. JIRA Ability to learn new localization tools and applications quickly Excellent interpersonal, written and verbal communication skills Ability to work with tight deadlines Ability to effectively present information and respond to questions from groups of managers, clients, customers, linguists Ability to solve practical problems and deal with a variety of concrete variables in Ability to work within a virtual team Fast learner, motivated, versatile Education Level  University degree in Translation/Applied Languages/Linguistic Studies or equivalent combination of education and experience (University degree in other fields plus 2 years of full time experience in translation; OR 5 years of full time professional experience in translating) Job Reference: #LI-JC1

Location: Tokyo, Japan Workplace: unspecified Benefits of working with Welocalize: ·     Transparent processes and professional vendor communication ·     Opportunity to interpret for clients from various industries: medical, finance, legal, high-tech and more   We are seeking freelance interpreters with a native ability in Japanese and Korean to provide interpreting services in Tokyo, Japan for one of our well-established clients in the computer technology industry.   Requirements: ·        Onsite in Tokyo, Japan ·        Native-level fluency in the respective language ·        Fluency in English ·        Minimum 5 years of interpretation experience ·        Strong business ethics  ·        Great interpersonal and communication skills ·        Previous work with clients such as HP, Microsoft, Intel, and Dell   Required interpretation experience in Software:  Topics such as ·        Protection of data ·        Virtualization ·        IoT ·        Cloud solutions ·        Digital transformation ·        Other IT related subjects are a plus   Please apply with your updated CV highlighting relevant interpretation experience.

Location: United States Workplace: remote Welocalize is currently recruiting English-US into Cherokee freelance linguists for a marketing translation project for one of our top clients.   The project entails translation and post-editing for a thrilling global company, and will suit someone who has experience and interest in IT, software, marketing and social media. We will create teams of translators who will be responsible for one or more products, always reviewing each other.   We receive work every day and the deadlines are usually short – within 24-48 hours, because the jobs are usually small. Ideally, we need people who have regular availability - the more, the better.   You will receive training and follow ups on your jobs initially by one of our more experienced resources, to ensure client expectations are being met. REQUIREMENTS: Native level fluency in Cherokee language When you join Welocalize, you have the opportunity to bring your career to the next level: ... receive steady volume of work and long-term partnership {where this applies}  ... professional development: work on exciting projects that will empower you keep learning and growing ... work with multicultural, international team with a great variety of documents and content types   ... 24-hour 6-day a week support from our Community team. If this opportunity sounds appealing to you, apply below.

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