The Senior/Staff Software Engineer will lead the technical planning, implementation, and delivery of key features within the Models product—our central hub for experiment tracking and visualization. In this role, you'll work closely with product managers, designers, platform engineers, and fellow engineers to scale the performance & reliability of the application while meeting the growing demands of ML teams.

Develop and maintain core framework and key software components for the Kraken trading engine. Build and design solutions that mitigate risk, implement security, and protect both systems and data. Improve site performance by designing and implementing low-latency and high-availability applications.

As a Senior Software Engineer, you will be responsible for building complex services, endpoints, and data pipelines that power our financial product initiatives. You’ll bring a strong sense of ownership—caring deeply about product outcomes and pushing projects across the finish line, regardless of who does the work. You’ll proactively communicate status updates, risks, and tradeoffs to the team and leadership, keeping everyone aligned and focused.

The ML Understanding Team is seeking a Staff Machine Learning Engineer with a deep understanding of LLM training and optimization. In this pivotal role, you will be responsible for developing, training, and optimizing state-of-the-art language models for various applications. You will partner with Engineering, Product, UX Research, and Product Design teams to push the boundaries of what's possible with these powerful language models.

Support software development and testing expertise in the development, testing, engineering, and system management and administration of new DoD Systems software builds. The Junior Software Engineer must have a basic understanding of, and experience in systems engineering, specifically software development and software testing. He/she should have knowledge of the system development life cycle.

We are looking for a highly motivated Mid-level Machine Learning (ML) Engineer to join our growing AI Center of Excellence, responsible for using machine learning to drive innovation across the organization. You will leverage data to solve business problems, experiment with and deploy ML models, and build ML engineering infrastructure.

The Billing System Engineering Manager will lead a team of software engineers to develop an internal billing system, delivering a consistent billing experience to all Canonical customers. They will partner with business customers to understand business needs and deliver engineering solutions. Requires prior experience as a software developer in a high-level language and as a hands-on engineering manager.

Develop, design, debug and operate Ordering system applications running in a Cloud production environment and support legacy applications running on premises. Provide engineering support on end-to-end problem resolution and root cause analysis, manage code repositories using GIT, and break down complex business and system problems into modular, maintainable solutions. Plan, develop, and implement automated tests, and define a long-term technical vision.

We are seeking an experienced Application Modernization Specialist to join our growing team. The ideal candidate will have a background in software architecture and extensive experience leading modernization projects. Expertise in migrating from COBOL to newer programming languages is highly desirable, and we are open to candidates who transform other legacy systems into modern technologies.

Impact millions of users by contributing to our mission of improving mental health worldwide. Dive into cutting-edge technologies prototyping, architecting, and coding with Typescript/JS/Node.js and Python/Django to power our EHR. Work alongside talented product managers, designers, data analysts, and engineers in a fast-paced, supportive environment.