Distributed Systems Software Engineer, Python / Go 3 months ago Be among the first 25 applicants We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a
Department: Location:Non-Campus Other Time Type:Full time Worker Type:Regular Job Req ID:R109107 Minimum Requirements:Master’s degree or higher in Computer Engineering, Computer Science, or Data Science and two (2) years of relevant experience. Grade 13 (Salaried) Position Description:
Engineering Manager – Metal as a Service (MAAS) Canonical is a global open‑source leader, publishing Ubuntu and powering the world’s most scalable cloud platform. The MAAS team delivers a cloud‑style API for bare‑metal provisioning, networking and
2 days ago Be among the first 25 applicants Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough
About Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data
We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AGs primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs
About the job Data Analyst - Entry Level (Remote) We are looking for the right people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees
Career Opportunities: Software Engineering & Automation Specialist (11334) Requisition ID11334-Posted10/07/2026- Years of Experience (4) -Technology- Where (1) -Job Are you passionate about software development, cloud-native architectures, and the technologies transforming the world of networking and telecommunications?
Vice President of Global Support About the Company Top provider of cloud-based image & video management services Industry Information Technology and Services Type Privately Held, VC-backed Founded 2011 Employees 201-500 Funding $76-$100 million Categories Apps Cloud
Responsibilities Act as a strategic solution advisor to the IT engineering teams. Lead programs to develop, maintain, and govern Continuous Integration and Delivery capabilities across the enterprise. Develop, socialize, and communicate IT DevOps architectural standards. Participate
We build Source and we build with Source. We maintain an open-source, edge-native data stack and deploy it in production where the cloud isnt an option — phones, laptops, vehicles, robots, ground stations, satellites. Engineer-led, no
A leading open source software provider is hiring an Engineering Manager to lead the MAAS team. This role requires exceptional technical leadership and skills in software engineering. The candidate will guide innovation in data center technology
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,
A pioneering tech firm is hiring for an Engineering role in the MAAS team. This position involves leading distributed engineering efforts, developing talent, and driving innovation in data-center technology. Candidates should have a Bachelor’s degree, proven Python
We build Source and we build with Source. We maintain an open-source, edge-native data stack and deploy it in production where the cloud isnt an option — phones, laptops, vehicles, robots, ground stations, satellites. Engineer-led, no
Essential Duties and Responsibilities: - Responsible for technical solutions and pricing regarding new RFPs, RFIs. - Serve as subject matter expert to assist projects on technical matters and address needs of the client and other stakeholders
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using