Remote Software engineering Jobs · APIs

Learn from a deeply collaborative team balancing empathy, technical excellence, and humility. Gain hands-on experience in a system used in more than 10 million therapy sessions to date. Build and scale internal tooling that streamlines and empowers clinical teams to support product development.

• Collaborate remotely with a globally distributed team.
• Design and implement new features and enhancements from spec to production and ongoing operations at scale.
• Review code and technical designs produced by other engineers.

• Lead a team of developer advocates and engineers focused on community trust.
• Guide the stewardship of open-source repos and developer tooling.
• Influence the Developer Platform and AI roadmap based on real-world needs.

In this role, you will lead a team of Customer Success Engineers responsible for quickly removing customer blockers and improving the experience for all customers. The team serves as the technical backbone of the customer journey, ensuring fast, accurate resolution of issues from pre-sale through post-sale. You will combine technical depth with strong people leadership to build a team that operates efficiently, communicates clearly, and relentlessly removes friction for our customers.

• Educate engineering teams on the value of the Apollo Graph Platform.
• Serve as a key technical advisor for enterprise customers.
• Devise innovative solutions to accelerate federated graph adoption.

• Write reliable, testable code.
• Debug and maintain systems.
• Participate in peer reviews and agile ceremonies.

• Design, develop, and maintain microservices that power Kong Konnect.
• Contribute to Kong's Cloud and Enterprise services.
• Design and implement solutions to technical problems of moderate complexity.

As a Senior Software Engineer in Localization, you’ll work on system integration, build and maintain API-based workflows to connect localization systems with enterprise platforms. You'll also design and implement automation solutions to streamline localization processes and reduce manual effort. Apply AI and machine learning technologies to improve scalability and efficiency in localization.

• Build and maintain robust, scalable microservices and backend APIs.
• Own greenfield projects from architecture through implementation.
• Collaborate with cross-functional teams to translate complex requirements into effective technical solutions.

Work at the intersection of high-scale software and real-world AI applications, building features and infrastructure that integrate deeply with large language models (LLMs) and ML systems. Own end-to-end delivery, from building the backend APIs and vector search pipelines, to shaping and optimizing the frontend UI that engineers rely on every day. Build and maintain user-facing features and APIs that integrate LLM and ML capabilities.