Remote Software engineering Jobs • Java

Evolve Canva AI into a robust, scalable platform supporting seamless integrations and high performance at scale for Canva's 150 million global users. You will lead strategic decisions and drive the backend architecture, playing a critical role in shaping Canva AI into a universally accessible platform. This is a high-impact, technically challenging role positioned at the forefront of Canva's strategic vision.

Seeking a skilled Senior Java Spring Boot Developer (Contractor) to join the team. This role involves developing and integrating Java-based microservices, particularly connectors for third-party controls vendors, within the Warehouse Execution System (WES). You will collaborate with architects, product owners, QA, and other development teams, ensuring alignment with our enterprise architecture.

ScriptRunner is seeking a Senior Software Engineer for its Cloud team, passionate about developing innovative solutions to enhance user experiences. Responsibilities include building the platform that powers ScriptRunner Cloud, solving complex problems at scale, and shipping continuously in a DevOps-minded team. The role involves designing and evolving the platform, ensuring reliability, and participating in on-call/incident response.

As a Software Engineer at ATPCO, you will be responsible for the implementation, enhancement, and maintenance of a wide range of ATPCO applications and services. In this role, you will collaborate with cross-functional teams to design and develop software solutions that align with business objectives, ensuring high performance, scalability, and reliability.

We are seeking a Senior Manager, Backend Engineering to lead the re-platforming of our core backend services while ensuring uninterrupted operation of existing production systems. This is a hands-on technical leadership role where you will both manage and mentor a team of engineers and serve as the technical lead. Responsibilities include driving design and implementation decisions for high-scale, high-availability systems. The Senior Manager will guide the modernization of APIs and microservices.

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes. Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs.

We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions.

Master and implement evolving technologies around digital commerce & marketplaces to discuss enterprise transformation. Mentor team members on new technologies and help architect scalable solutions, while collaborating with delivery managers on technical aspects of major implementations for clients across the globe. The ideal candidate will possess a minimum of 15 years of experience in solution architecture and technology implementation.

The AI Growth Enablement team aims to unlock growth in users, subscribers, and revenue by building shared AI/ML capabilities. As a Senior Machine Learning Engineer II, you will partner with Product, Data Science, and Engineering to deploy ML models for personalization, experimentation, and automation. You will productionize real-time model APIs and collaborate with backend and mobile engineers to integrate model outputs into user-facing features to drive user and revenue growth.

Design and implement backend services and APIs that are secure, scalable, and maintainable, primarily using Python. Work closely with researchers, security engineers, and product teammates to bring AI-driven features from concept to production. Apply best practices for authentication, authorization, encryption, and data protection throughout the stack.