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Location: Home based - Worldwide This is a unique opportunity to use your software engineering and cryptography skills to build and maintain the security foundation that enables Ubuntu and its users to operate securely and remain compliant to international information security standards such as FIPS 140-3 and Common Criteria.  You will use your applied cryptography, Linux Security, and coding skills to enhance the Ubuntu distribution and work with organizations such as DISA and CIS to draft and implement security hardening benchmarks for Ubuntu. As a member of the Security Hardening team you will work with and develop automation tooling to audit deployed systems for DISA-STIG and CIS benchmark compliance. You will interact with internal and external stakeholders to identify gaps in our frameworks, and develop new solutions to address these challenges. In this role you will have the opportunity to influence team and security culture, facilitate technical delivery, and help drive team direction and execution. You’ll collaborate closely with Canonical’s kernel team as well as the wider engineering organization to drive features impacting all Ubuntu users. Day-to-day responsibilities Collaborate with other engineers in the Security Hardening team to achieve and retain various Security certifications Extend and enhance Linux cryptographic components (OpenSSL, Libgcrypt, GnuTLS, and others) with the features and functionality required for FIPS and CC certification Collaborate with external security consultants to test and validate kernel and crypto module components Work with external partners to develop security hardening benchmarks and  audit + remediation automation for Ubuntu Contribute to Ubuntu mainline and upstream projects to land solutions and benefit the community Communication and collaboration within and outside Canonical to identify opportunities to improve our security posture, rapidly resolve issues, and deliver high-quality solutions on schedule What we are looking for in you Hands-on experience with low-level Linux cryptography APIs and debugging Excellent software engineering fundamentals, including prior experience with C development, and the ability to demonstrate such Hands-on experience with Linux system administration and shell scripting Demonstrated knowledge of security and cryptography fundamentals + direct experience writing secure code and implementing best practices Significant development experience working with open source libraries Excellent verbal and written communications to enable efficient collaboration with internal and external partners in a remote-first environment Additional skills that you might also bring Prior experience working on FIPS/Common Criteria certified products and in-depth knowledge of the underlying standards Prior experience working directly with DISA-STIG or CIS benchmarks, including related audit + remediation tooling (e.g. Compliance as Code) Experience working directly with Linux Kernel Prior experience with Python, OVAL (Open Vulnerability Assessment Language), and Ansible History of contributions to open source projects What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. 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 - we’ve been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is 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 on a daily basis. 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. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. 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 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: 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