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Location: New York, NY / Seattle, WA / San Francisco Bay Area, CA / Remote Workplace: remote Why us?  Blockchain technology is enabling a rapidly-growing era of innovation for the digital world. It is crucial that blockchain code such as protocols and smart contracts are provably secure and correct. Once deployed, they are public and cannot be changed. Vulnerabilities and bugs in such programs regularly put millions of dollars at stake. This is where CertiK comes in. We are the leading blockchain security company. Our goal is to secure the cyber world by applying cutting edge techniques from academia to secure blockchain code. Come and join this ambitious mission as a research software engineer to work on automated analyses for provably secure and correct blockchain applications!  What you will do You will design and develop tools that automatically ensure the correctness of smart contracts or identify security issues and bugs in smart contracts. We have software engineer positions available at all levels of seniority. Title and responsibilities will be commensurate with experience and background. As part of our multinational team of programming language experts, you will participate in the development of tools that rest upon techniques such as symbolic model checking, SAT/SMT solving, abstract interpretation, data flow analysis, and deductive verification. You will have the opportunity to work on all stages of tool development from idea generation to implementation and iterative improvements. Our team is highly supportive and collaborative with great opportunities to learn and grow. About you You have a background in programming language theory and automated reasoning and love to work on the forefront of applying results from theoretical computer science. You love to tackle computationally hard problems and have a proven track record of achieving results, where results are people using your tool to do their jobs. You are collaborative: you share ideas, love to brainstorm with peers, and give and receive feedback. You are comfortable with the unknown and understand that #startuplife means that you will be wearing multiple hats. Responsibilities Extend the scope and depth of our automated program verification tools and brainstorm, design, and implement new tools. Adapt and improve algorithms for symbolic software model checking. Examples include bounded model checking (BMC), counterexample-guided abstraction refinement (CEGAR), and property directed reachability (IC3/PDR). Build and extend translators from different input languages into intermediate representations, optimizing the generated models for automated analysis. Identify new classes of security properties of smart contracts and formalize properties for use in our automated verification tools. Closely collaborate with other software engineers in developing tools and set technical direction for solving problems in consultation with your team and management. Work on all aspects of delivering working software that meets customer needs, including analysis, design, automated testing, operations, CI/CD, measuring results, incorporating customer feedback, and support. Required Qualifications Master's Degree in Computer Science or a related field or 5 years of equivalent experience. Minimum of 4 years of software development experience (includes internships, software developed during research, and open-source development). Minimum of 2 years of experience with one or more of the following: model checking, formal verification, SAT/SMT solving (Z3, CVC4, Yices, MathSAT, SMTInterpol), abstract interpretation, or closely related disciplines. Demonstrated knowledge of fundamental computer science concepts such as data structures, algorithms, mathematical logic, and automata theory. Preferred Qualifications PhD in the broader field of automated reasoning. Publication record in conferences like POPL, CAV, TACAS, FMCAD, FM, etc. Experience in functional programming (OCaml or Haskell). Strong and creative problem-solving skills; always willing to learn and embrace new technologies and to collaborate. Prior experience in a professional software development environment. About the Company Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness.  Compensation Target annual base salary for this role performed in the US is $115,000 - $230,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. #LI-Remote #blockchain #startups #hiring CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.   CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.   CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf   All CertiK employees are expected to actively support diversity on their teams, and in the Company.

Location: Home Based - Americas Canonical is hiring a software engineer to join the Server Certification team. The Certification team develops Python based testing tools used to test Ubuntu Server on the latest enterprise hardware ensuring Ubuntu users have the best experience with their hardware. We work at the interface of hardware and software, so the ideal candidate is a Python developer with a problem solving mindset, familiar with hardware. Server Certification team represents Canonical to our datacenter hardware partners. We work together with silicon companies, OEMs, ODMs and teams within Canonical to ensure a smooth, secure out of the box Ubuntu experience, with success in this role leading to a great Ubuntu experience being offered on more and more devices. We focus on the interaction between server hardware and Ubuntu Linux, so the ideal candidate has software development experience and a good understanding of configuring and troubleshooting server hardware running Linux. This is an excellent opportunity for someone who wants to have a meaningful impact on the adoption of Linux on enterprise server hardware across multiple industries. Canonical offers a fun, fast-paced team environment and a career full of learning and development opportunities. This team is centered in North and South American time zones. What you’ll do Contribute to Canonical’s open source testing tools such as Checkbox and Testflinger . Troubleshoot issues related to hardware compatibility, functionality, and performance. Technically support Canonical’s hardware partners in their hardware certification efforts. Educate the partner about Canonical’s tools, processes, and product roadmaps. Support Canonical’s internal teams on customer deployments of Canonical’s suite of Datacenter and Cloud products that utilize the partner’s hardware. Work from home with global travel 2 to 4 times per year for internal and external events. Who you are You have a good knowledge of Python and shell scripting. You have knowledge of server-class hardware. You know your way around Ubuntu, virtualization, and cloud computing concepts. You are confident in a customer-facing role. Desired skills and experience Experience with test automation tools for validating hardware compatibility. Knowledge of CI/CD concepts. Comfortable with some virtualization or container technologies such as QEMU, KVM, LXC / LXD, Docker. We are proud to foster a workplace free from discrimination. We truly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better platform for our users and customers. This is something we value deeply and we encourage everyone to come be a part of the world of Ubuntu. #LI-REMOTE

Location: Muscat, Oman We are looking to recruit Support & Implementation Engineers who will provide high-level onsite and remote IT technical liaisons. The Support & Implementation Engineer will be responsible for the full life-cycle of incidents and problems. The position will require close working with all teams in all levels of technical support and engineering. Responsibilities Implement and install solutions on the customer's test and production environments. Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different levels of solutions (i.e. Database, Application, Network, Communication, and Integration Interfaces Levels). Act positively and respond promptly to the customer’s requests/tickets. Prepare, review and ensure accuracy of technical documentation. Conduct Preventive / Corrective Maintenance visits to customer sites physically or remotely. Perform any other job-related duties incidental to the work. Requirements Bachelor's Degree in Information Technology, Engineering/Science, Computer Application, or any related field. Fresh graduates / Up to 3 years experience in a familiar field. Willing to travel abroad and work extra hours whenever needed. Knowledge in database engines (Oracle and MS-SQL). knowledge in operating systems (Linux and MS Windows). Knowledge in application servers (Apache Tomcat, Oracle WebLogic, and IBM WebSphere). Knowledge in Directory Services (AD & LDAP). Excellent verbal, written, and interpersonal skills. Excellent team player. Excellent customer service skills. Attention to detail skills. Effective communication skills. Experience in one or more of the below is a plus : Cloud Computing, Virtualization Technologies, SAN and Storage, Network Infrastructure. Data Centers, High Availability & Disaster Recovery, Backup & Recovery Strategies. Knowledge in PKI Infrastructure and Certificate Authorities. Knowledge in database engines (PostgreSQL, MySQL, and NoSQL Databases). Knowledge in server and client operating systems (Linux Distros, Windows). Knowledge in web application servers (Jetty, Wildfly, JBoss). Knowledge in Object Storage management. Cloud-based Solution Infrastructure (Amazon, Azure, Google Cloud, DigitalOcean). Cloud Infrastructure Tools (OpenStack, Docker, Kubernetes). DevOps Techniques and Skills including CI/CD.

Location: Office Based - Taipei, Taiwan Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users. As a ​Software Engineering Manager​ you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system​, low-level debugging, critical thinking, problem-solving skills and management ability. Key responsibilities Recruit, motivate, mentor, and enable your team to succeed in delivering quality products Set goals with the team; prioritize tasks, identify and measure team health indicators Maximise the results of team members and support their career growth Coordinate with project managers, HWE, QA and certification management Monitor projects from kickoff to post-mortem and handle escalations Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs Prioritize customer requests globally Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security) Provide leadership for methodologies, strategies, standards, tools, and best practices Must be able to travel to the EU, USA, China, and Taiwan Required skills and experience A Bachelor (or higher) degree in STEM, preferably computer science or software engineering Proven track record in technical roles with Linux, preferably Ubuntu or Debian Commitment to development and testing methodologies, and maintainable code quality Experience with management responsibilities Ability to work collaboratively in a team environment Ability to be productive in a globally distributed team through self-discipline and self-motivation Commitment and energy to deliver on schedule Strong English and Chinese language communication skills, both written and verbal Desirable skills and experience Making technical decisions for a team as a tech lead Software architecture and design experience Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML Participation in open-source development projects Experience with CI/CD Canonical is an equal opportunity employer Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Warsaw, PL Workplace: remote We are seeking an experienced DevOps Engineer to make the path of code, from a developer’s mind to our customers, as fast, secure, and efficient as possible. You will be the architect of the “software delivery highway” for a project that deploys FE & BE code to Kubernetes, using Postgres and S3 resources hosted in AWS. The code repository is hosted in Bitbucket, where the existing (inadequate) CI/CD pipelines run. The application is currently hosted on Vercel, and we intend to migrate the runtime to Kubernetes. Responsibilities Understand how NextJS applications are typically configured and deployed to Kubernetes. You can define a build process for dynamic environments such as for QA which partitions resources per Jira epic, including set up and tear down of Postgres DB, S3 bucket and sensible configuration management, deploying code from a specific git branch. You will define a release process that promotes and rolls back code and manages database migrations while minimizing disruption. This includes promoting code from QA to staging, and from staging to production. Manage and optimize Postgres and Object Storage infrastructure connected to NextJS deployments. Ensure compliance with AWS security best practices and governance policies. Experience defining and debugging Bitbucket CI/CD and scripting with Bash, Python, etc. Participate in architectural decisions, providing the infrastructure’s point of view. Help on writing and diagnosing issues with CI/CD pipelines, preferably with Argo CD. Work closely with development teams to ensure smooth integration of tools. Communicate technical information effectively to both technical and non-technical stakeholder Must-have requirements for this position At least 5 years of experience in SRE/DevOPS role or a related field. Strong understanding of AWS or GCP services and infrastructure management. Strong understanding of Bitbucket CI/CD build pipelines. Understanding of NextJS deployed to Kubernetes (Vercel understanding desirable), defining QA, staging & production environments and configuration management. Proven track record of managing complex environments and troubleshooting technical issues. Excellent problem-solving and analytical skills. Strong knowledge of IaC tools (Terraform, Ansible, etc) and git. Experience with shell scripting, python and/or automation tools. Knowledge of cloud security best practices and compliance frameworks. Strong communication and collaboration skills Ability to work effectively in a fast-paced environment Bachelor’s degree in Computer Science or equivalent experience. 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: Home based - EMEA This is an exciting opportunity for a software engineer passionate about open source software, Linux, edge computing, and AI. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company. Your role will be to help us provide easy-to-deploy, secure, and customizable edge AI solutions, specifically focusing on Inference Snaps. You will work on designing and implementing silicon-optimized application packages for AI/ML inference, targeting devices from embedded systems to powerful gateways. Linux will be at the core of your everyday challenges. In our team we value collaboration, peer reviews, good integration/unit testing, and writing maintainable code. General knowledge and experience with Linux as a developer platform is required. What you’ll do Collaborate proactively with a distributed team Develop and maintain open-source AI/ML inference application packages Debug issues and produce high-quality code to fix them Review code produced by upstream and/or other engineers at Canonical Discuss ideas and collaborate on finding good solutions Experiment with Ubuntu Core and showcase industry-grade Edge AI solutions Secure deployment of AI inference platforms on Linux Build optimized AI solutions for local inferencing on Ubuntu Work from home with global travel 2 to 4 weeks for internal and external events Who you are Proven track record of at least 3 years of professional software development using Go or C++. Experience working on and developing applications for Linux You have interest and experience with a few of the following: Containers (docker, kubernetes) Snap, debian, or RPM packaging Bash scripting CI/CD (GitHub Actions, GitLab CI, etc) Local AI/ML inference frameworks Hardware accelerators: GPU, NPU You value soft skills, communication and advocacy, and are passionate, enterprising, thoughtful, and self-motivated You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, the world’s best free software platform. Our services help businesses worldwide reduce costs, improve efficiency and enhance security with Ubuntu. 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 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