This role is well-suited for a detail-oriented, early-career technologist eager to grow their skills in software development, technical analysis, and client delivery. Working closely with senior engineers and consultants to analyze client needs, design solution components, and support the development and implementation of software solutions, translating business requirements into actionable technical tasks, contributing to the design and development of software applications, and supporting testing, deployment, and documentation efforts.
Maturing Canva’s self-service data infrastructure so that domain teams can deliver high-impact outcomes, you will be building orchestration tooling with smart dependency logic and self-healing capabilities. You will be implementing observability practices and monitoring systems for proactive detection and resolution, enhancing CI/CD pipelines and aligning them with Canva’s broader tooling ecosystem. You will be shaping the roadmap for data platform services and advocating for AI integration.
Seeking a Senior Backend Engineer to collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis. This role spans web services and data engineering, with a strong emphasis on Python development for scientific applications. Key responsibilities include software development life cycle participation, reusable code development, Git repository management, and infrastructure support.
Change the way Creators collaborate with Brands to maximize their economic success. Face seemingly impossible problems and work together to find superior solutions. Deliver high-quality solutions with a strong programming and problem-solving background, primarily using Go or other languages. Make significant contributions to the team, serve as a resource, and excel at scoping work. Drive innovation and enhance team efficiency within an agile scrum team.
An integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development. Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems. Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
As a Full-Stack Engineer within the Contributor Success team, the mission is to build the bridges that connect the vibrant ecosystem of AI coding tools directly to GitLab. You will create the unavoidable on-ramp that graduates them to the full power of GitLab's single platform, solving the critical challenge of abstracting GitLab's broad capabilities to make its power accessible to millions of new users.
As a Senior Backend End Engineer at Runwise you will be responsible for helping design, test, and implement the core software that both embed on our controls in 7500+ buildings and the serverless cloud infrastructure that process & analyze billions of data points coming in from these buildings. you will have the opportunity to help a variety of property companies effectively run their heating, cooling, electric, and water systems more efficiently while making tenants more comfortable.
Trissential is seeking Software Engineers to join our client’s team on high-impact healthcare technology projects, to craft innovative mobile and cloud-based applications. We’re looking for engineers with strong experience in React Native mobile development as well as backend/API development to power advanced clinical and analytic platforms.
Scale an AI-native, edge-to-cloud platform while building a culture of craftsmanship and customer-centric design. You’ll own everything from mobile capture applications in a customer’s hand to web interfaces to the APIs that power partner integrations. The Head of Product Engineering will report directly to the Chief Executive Officer.
As a Machine Learning Engineer on our Audience Intelligence team, you will play a pivotal role in this transformation and be responsible for designing and developing the machine learning models that generate new user intelligence at scale. You will focus on modeling excellence and partner tightly with the team's software engineers to integrate your model-produced intelligence into the broader advertising ecosystem. Your work will directly enhance our ability to understand users and improve advertiser outcomes.