Design, build, and maintain our core mobile platform for Android devices ensuring the integrity and accuracy of signal information, helping fintechs manage fraud, credit, and compliance risks effectively. Lead the research, design, prototyping, implementation, and deployment of holistic end-to-end solutions in the Android domain.
As an experienced Senior Full Stack Engineer, you'll work with our Java backend and React/TypeScript frontend systems deployed on AWS. You'll build new features and improve system reliability, performance, and observability. As part of our fully remote Agile team, you'll collaborate closely with UX designers and Product Managers to deliver exceptional solutions. You’ll influence architecture, lead through technical discovery and execution, and tackle complex engineering challenges head-on.
Backend roles at Canva can vary significantly depending on the team, each focused on solving meaningful problems at scale. The role involves building scalable APIs, improving system performance, and contributing to shared services. You will work closely with product managers, designers, and frontend engineers to deliver end-to-end experiences, designing new systems, and maintaining critical infrastructure.
Backend roles at Canva vary significantly depending on the team, each focusing on solving meaningful problems at scale. You might help build scalable APIs powering millions of user interactions, improve system performance and reliability at scale, or contribute to shared services and internal tools. As a backend engineer, you'll design and implement backend features, build services that power user experiences, and collaborate with cross-functional teams to ship high-quality solutions.
Seeking a highly skilled Senior Java Developer with expertise in Magnolia CMS to join our dynamic team. The ideal candidate will have strong backend development experience with Core Java and Spring, complemented by modern frontend capabilities and Magnolia content management. Responsible for designing, developing, and maintaining scalable web applications using a full stack of technologies.
You will design and build critical systems that power PlanetScale's database platform, serving millions of queries per second for some of the world's largest applications. You will collaborate with a team of expert engineers to solve complex distributed systems challenges. You will work independently to solve engineering and business problems with little direction and high autonomy.
The Salesforce Developer Level 2 role will be responsible for building features using Salesforce technologies. The Developer is comfortable communicating with Operatus consulting teams, including Architects and Admins, and client business stakeholders and development teams. The ideal candidate will have a minimum 2-4 years' relevant work experience writing code, working with stakeholders and interpreting requirements.
This position plays a critical role in building and maintaining robust backend services, central to a key project, requiring strong expertise in production-level Java. Engineers will evolve to work with Go (GoLang) microservices. The team collaborates across departments, responsible for the long-term quality of the code, crafting reliable web services deployed with containers on Kubernetes. Engineers contribute wherever needed and thrive in a high-trust environment.
Architecting and optimizing scalable systems in a cutting-edge field. You’ll join a tight-knit, deeply collaborative team that’s powering enterprise mobility, high-volume data flows, and dynamic business logic across industries. You’ll be designing scalable systems, safeguarding sensitive data, and solving tough distributed systems problems that keep global operations running seamlessly.
Implement new features and solutions for Red Hat AI and Edge products. Explore deep code integration into various Red Hat products, ensuring optimal integration between the Red Hat portfolio, hardware accelerators and partners. Integrate software that leverages hardware accelerators and perform performance analysis and optimization of AI workloads with accelerators.