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Location: Limassol Wisebits is an international IT holding company with a strong technical team. Our key product is a high-load video hosting platform used daily by millions of people around the world. Over more than 15 years in the market, we have built a professional team where engagement and initiative are truly valued.  If you want to work with a high-load product and have the opportunity to influence its development, join us! We are looking for an AI Automation Engineer who will develop and implement applied AI solutions to automate the company’s internal processes. The main goal of this role is to identify routine, time-consuming, or poorly scalable processes across different teams and turn them into reliable AI tools and services. What you'll be working on: Develop AI tools for automating code review and analyzing code changes. Build systems for automatically analyzing product and technical metrics, logs, and events, including anomaly detection. Integrate Slack, task trackers, knowledge bases, and the company’s internal services. Develop AI agents, for example, for creating tasks from Slack threads, searching for similar bugs, and preparing concise summaries. Automate incident analysis, identify possible root causes of failures, and prepare draft post-mortems. Create tools for automated checks of websites, domains, and SEO metrics. Design and develop custom MCP servers, RAG systems, and pipelines for working with corporate data. Evaluate the quality of AI solutions, reduce error rates, and control the cost and speed of their operation. Work with both cloud-based models and local LLMs. What we expect from you: Practical experience in developing solutions using AI/ML. Experience working with APIs of cloud AI platforms, such as OpenAI and Anthropic. Experience launching, additional training, and fine-tuning local models. Good understanding of how LLMs, Transformer models, embeddings, and vector search work. Experience developing custom solutions based on MCP and RAG. Experience integrating AI services with external APIs, databases, and corporate systems. Strong development skills in Python, TypeScript, Go, or other backend or systems programming languages will be an advantage. Understanding of different neural network architectures, including Transformers, NLP models, RNNs, and others. Experience with Docker, Linux, Git, and basic CI/CD processes. Ability to turn an informal business need into a working technical prototype and then into a stable production service. Nice to have: Experience with LangGraph, LlamaIndex, Haystack, Semantic Kernel, or similar frameworks. Knowledge of PyTorch, Hugging Face Transformers, PEFT, LoRA, or QLoRA. Experience with local inference using vLLM, Ollama, llama.cpp, TGI, or similar solutions. Experience with vector databases and search systems: PostgreSQL/pgvector, Qdrant, Milvus, Weaviate, Elasticsearch, or OpenSearch. Skills in building LLM quality evaluation systems: evaluation datasets, automated tests, human feedback, hallucination monitoring, and regression testing. Understanding of information security, access control, and confidential data protection when working with AI. Experience processing logs, metrics, and time series data, as well as detecting anomalies. Experience developing AI agents and systems using tool calling. Understanding of observability. Experience with Kubernetes and cloud platforms. We are not looking for an academic researcher, but rather a strong hands-on engineer who can quickly understand new AI technologies, build prototypes, validate their value, and bring successful solutions to production. What we offer: Work on an ML product with millions of users and real-life metrics. A compact team where every engineer can influence the product and develop expertise across several areas. Experienced colleagues to discuss ideas with, think together, and launch new projects and features. A simple structure with minimal bureaucracy and maximum responsibility. Annual salary review and bonuses. Benefits: medical insurance, tax compensation, learning opportunities, equipment, and language courses. Relocation to Cyprus: visa support, relocation coverage, flight tickets, and the first month of accommodation. Flexible schedule, a comfortable atmosphere, and team support. Work format: Remote / On-site Salary: from €3,500 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 - 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 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 Site Reliability / Gitops Engineer to our Information Systems (IS) team. This role is an opportunity for an “automation-first” technologist with a passion for Linux to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products. If you have experience of IT operations automation, Infrastructure as Code and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. Job Summary The IS team at Canonical supports and maintains all of Canonical’s IT production services. The team is in charge of running services used by over 60 million Ubuntu users. As an SRE & Gitops engineer you’ll be in a unique position to drive operations automation to the next level, both in our own private clouds as well as in the public clouds. We do this by utilizing the best of open source infrastructure as code software, software development practices such as CI/CD pipelines, and Canonical’s leading products for software operation automation. In addition to defining the infrastructure as code, you will improve Canonical products and the open-source technologies they’re based on by providing critical feedback to developers on how their products operate at scale. This is done by submitting bugs (and sometimes writing pull requests) and collaborating on design and implementations with other teams within the company. You’ll be part of a global team of SREs that work together and support each other to provide the best possible services to our company, Canonical’s customers and the Ubuntu Community. Location : This role is available remotely in any timezone. As a Site Reliability / Gitops Engineer engineer you will Apply your experience of IaC to develop infrastructure as code practice within IS by constantly increasing automation and improving IaC processes Automate software operations for re-usability and consistency across private and public clouds, taking into consideration the complexities of distributed systems Develop new features and improve the resilience and scalability of the existing cloud and container portfolio at Canonical Maintain operational responsibility for all of Canonical’s core services, networks, and infrastructure Develop skills in troubleshooting, capacity planning, and performance investigation, Setting up, maintaining and using observability tools such as Prometheus, Grafana, and Elasticsearch; design, implement and maintain monitoring and alerting for various systems and services Collaborate with development teams to design service architecture, documentation, playbooks, policies and operational procedures Provide assistance and work with globally distributed engineering, operations, and support peers Be given uninterrupted development time to focus on larger projects and automation of manual tasks Share your experience, know-how and best practices with other team members in design sessions, mentorship and ‘doing work together’ Carry final responsibility for time-critical escalations What we are looking for in you A deep experience of, and knowledge to define operations in code, using version control, peer review and CI/CD to roll out changes both to applications and infrastructure Strong modern engineering background (peer-review, unit testing, SCM, CI/CD, Agile) Python software development experience, with large projects Practical knowledge of Linux networking, routing, and firewalls Affinity with various forms of Linux storage, from Ceph to Databases Hands-on experience administering enterprise Linux servers Extensive knowledge of cloud computing concepts and technologies Bachelor's degree or greater, preferably in computer science or related engineering field Able to communicate clearly and effectively in English over email, chat, video or voice calls and in-person Motivated and able to troubleshoot from kernel to web, and willing to ask others when appropriate A willingness to be flexible and able to learn new things quickly Be inspired by the needs of fast-changing environments Happy to work within distributed teams Be passionate and familiarized about open-source, especially Ubuntu or Debian 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: 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