Remote Software engineering Jobs · API

The Senior Backend Engineer will drive the modernization of a large-scale platform into a modular, high-performance architecture using Python/Django and AWS. Collaborating within a small, agile squad, this role focuses on backend design, API development, and scalability. The engineer will contribute to system decomposition, cloud optimization, and future product foundations. Ideal candidates combine technical mastery, architectural awareness, and strong communication skills.

Seeking an experienced Java Integration Developer for a remote contract role to design, develop, and implement API-driven integration solutions. The ideal candidate will have deep expertise in MuleSoft Anypoint Platform, a strong background in API integration, and hands-on experience in setting up MuleSoft environments from the ground up. Key responsibilities include designing integration solutions using MuleSoft Anypoint Platform and developing APIs and Mule flows.

Engineer the foundations of The Flex platform, including services, APIs, and automation engines that keep the global rental network running smoothly. You'll ensure the platform is fast, resilient, and intelligent. Partner with product, operations, and data to engineer clarity in an industry known for complexity — transforming messy real-world logistics into clean, automated workflows.

You’ll design and scale the technology behind The Flex — powering instant bookings, smart access, automated processes, and predictive operations. You’ll work across front-end, backend, and cloud infrastructure, transforming complex operational problems into elegant, scalable solutions. You won’t just build features — you’ll create leverage, engineer automation, and lay the foundation for the intelligent rental infrastructure of tomorrow.

Build the foundation of The Flex platform by scaling the systems behind bookings, automated logistics, smart access, and predictive operations. You will take real-world processes and turn them into automated software that powers stays around the world. Your work will influence how people live, travel, and experience true flexibility across borders.

Collaborate with our Futures backend development team to enhance the exchange platform that has propelled Binance to become one of the world’s largest cryptocurrency exchanges. You’ll tackle complex and unique challenges associated with running a high-performance platform that serves tens of millions of users globally, ensuring seamless 24/7 availability. We are looking for talented Software Engineers (7+ years of experience) to join our backend team and contribute to our world-class trading platform.

The Mulesoft Developer will join the team in Service Delivery to develop knowledge of the Cisco Digital Customer Experience and improve customer experience across the racetrack. You will collaborate with cross-functional teams to develop applications that make it easier for Cisco managers and engineers to manage Cisco Delivery Project finance, tasks, staffing, and develop committed release scope.

This position is great for you if you are a curious, collaborative, and open-minded engineer. You have built and used many APIs before, and know the pitfalls and challenges involved with supporting and scaling them in the real world. You are someone who loves programming and is passionate about making a better product. You enjoy delivering reliable, performant, well-tested code that power all your clients!

As a Mid-Level Software Developer, you will play a crucial role in designing and implementing robust backend services and APIs that handle complex business logic and high-volume data transactions. Collaborating with international teams across the USA and Europe, you will ensure that our solutions meet high-quality standards while embracing the principles of collaboration, innovation, and transformation.

Span is looking for a Backend Engineer to help develop connectors for new integrations, design and implement a unified data model for a new category of data, convert data pipelines to incremental workloads, and create an AI Agent workflow backend. The ideal candidate will have experience with data pipelines, ETL processes, data modeling, optimization techniques, and integrating Large Language Models (LLMs).