Planet’s Built Environment applied machine learning team delivers advanced geospatial products primarily for external customers, with a focus on advanced analytics such as change detection, object detection, and emerging generative AI capabilities. This role is a blend of hands-on engineering and modeling where you’ll implement novel methods, ensure testing/validation, and deploy solutions. You’ll collaborate with data scientists and software engineers to drive innovation in remote sensing and large-scale geospatial analytics.
Build and scale the systems behind AI conversations, real-time messaging, and deep integrations with social and e-commerce platforms. Work across APIs, data models, queues, and observability to turn social engagement into revenue for merchants. Build scalable backend services in TypeScript and Node.js that handle thousands of concurrent conversations across multiple social platforms.
Design and lead the development of secure, scalable, and high-performing cloud solutions that power internal applications and SaaS ecosystem, combining deep technical expertise with architectural leadership. Build the foundation of the company's cloud environment, driving automation, and ensuring every solution aligns with business goals, security standards, and long-term scalability.
Together with your cross-functional team you develop and maintain all aspects of your product and strive for improvement of the customer experience and data safety. Put your customers in the center. Seek to deliver measurable customer value by following a hypothesis driven development approach. Join a collaborative and autonomous team where you can play a key role in developing, launching, and maintaining software solutions. Take pride in contributing to the growth of the industry and making a meaningful impact.
This role helps build Cribl's core data platform which ingests, enriches, transforms, shapes, and routes data from and to numerous types of third party systems. As a Staff Software Engineer at Cribl, you will help set the technical direction for Stream Integrations. This role is equal parts research and development. If you enjoy the challenges of building scalable, robust, and high performing distributed systems which process large data sets in real time, this position may be right for you.
As a Principal Mission Software Engineer in the Mission Applications Group, you will develop and deploy software essential for specific, real-world objectives in partnership with customers. You will lead Agile software teams to design, develop, and maintain software systems deployed in operational use while managing customer relationships and ensuring product quality. This involves system integration, customer collaboration, and deployment/field testing in secure operational environments.
Innovate and improve our products as a Regular Software Engineer. Work in all aspects of agile application development on our enterprise platform, impacting billions of requests daily. Your opinions matter in product development, from requirements to deployment.
Shape customer experiences with a global leader in cloud contact center software. As a Senior Java Developer, be part of the team modernizing and enhancing platform services that power mission-critical applications. Contribute to the design, development, and operation of highly available, scalable, and reliable microservices on Google Cloud Platform.
You will join a collaborative and technically curious group that supports machine learning modelling across the full value chain, from data engineering to MLOps. Your work will help bring models to life in production environments and ensure they deliver real impact. Support the deployment and operation of ML models in production, ensuring robustness, scalability, and maintainability. Build and maintain CI/CD pipelines and cloud-native infrastructure to support the full model lifecycle.
This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines to build the Monzo US application and work with squads across collectives. The company is looking for candidates with strong backend experience, a product mindset, and comfort working in an ambiguous environment.