Remote Software engineering Jobs • Distributed Systems

As Prismic scales, their commitment to technical excellence and innovation grows stronger. They're looking for a Senior Software Engineer to join the Platform team and lead company-level initiatives that define the reliability, scalability, and observability of their core APIs. The engineer will scale Prismic’s public Content API, build customer-facing visibility into usage metrics, implement API governance, and empower product teams with AI infrastructure.

As an engineer on the team, you’ll be responsible for shaping and building a suite of products that let our users model and operate their business more efficiently. You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day. In this cross functional role, you will collaborate with experts in infrastructure, security, design, and operations to build mission critical internal and external features that power Stripe users around the world.

Responsible for learning new concepts and technologies quickly and apply them to challenging problems. Designing and building robust and extensible infrastructure to handle evolving and complex federal, state, and agency regulations. Dive deep to understand the inner workings of a highly complex industry. Work with Product and Design to define the best experience for our customers.

As a Principal Engineer at Apollo, you'll be a technical leader who helps shape our engineering culture, directly advising senior & exec leadership across products and systems that power GraphOS. Your work will influence company-wide priorities, delivering technical innovations that translate directly into customer value and business impact.

Help power the future of agentic AI workflows by taking Apollo's MCP Server to the next level, turning it into an enterprise-grade service that lets diverse tools and systems be exposed effortlessly to AI agents. Architect the MCP Gateway—a new layer that will route requests across tools, enforce policies, and provide the runtime foundation for scalable multi-agent systems. Tackle challenges in scalability, performance, and developer experience to ensure our platform feels seamless, powerful, and enterprise-ready.

Ditto is seeking an exceptional engineering leader to ensure its cloud product can support hyper-growth. You will lead and unify cloud product teams building the cloud CRDT-based database, data integrations technologies, CDC pipelines, and connectors to other database systems. The role involves converting product vision into engineering reality and translating customer needs into highly resilient and scalable cloud-native designs.

Architect AI-Enhanced Systems: Design and implement complex, distributed systems optimized with AI-driven insights for scalability, reliability, and simplicity. Drive projects from discovery to delivery, using AI tools to accelerate workflows and ensure successful outcomes. Define Excellence: Set engineering standards, champion best practices, and mentor teams to achieve new heights in innovation.

Join the team building Diagrid Conductor as a Senior Software Engineer. In this hands-on engineering role, you'll design, build, and operate core features that help customers run Dapr and Kubernetes-based systems at scale. You will deliver cutting-edge features, improve the operational excellence of our services, and monitor and prevent incidents.

The Core Messaging team focuses on enhancing the performance and reliability of Braze's most frequently used messaging channels. As a Senior Software Engineer I, you will take ownership of critical components of Braze's high-scale architecture and lead team OKRs to ensure they stay on track. Through collaboration, you will drive improvements to our product, technology, and team processes.

Design and build the orchestration layer that coordinates multiple AI agents to reliably perform complex enterprise workflows. Develop systems that manage agent-to-agent communication, task delegation, retrieval, and tool usage at scale. Translate cutting-edge AI techniques into production-ready capabilities. Ensure high reliability and fault tolerance in multi-agent systems for mission-critical insurance and compliance operations. Continuously improve workflow automation by identifying bottlenecks and engineering scalable solutions.