Top Remote Software Engineer Jobs in Peoria, IL

The Senior Software Engineer will develop backend APIs, improve engineering processes, and manage product features in a remote-first environment.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

As a Full Stack Software Engineer, you will lead product features from design to implementation while mentoring other engineers in AI-native workflows. Responsibilities include building scalable backend systems, creating responsive UIs, and driving architectural decisions in a high-urgency environment.

As a Senior Technical Writer, you will develop production-ready documentation for GemTalk's products, collaborating with engineers and ensuring clarity and accuracy in technical content.

Seeking a Senior Full Stack Developer focused on backend architecture to design, maintain, and mentor within an Agile environment, utilizing Java and .NET.

As a Senior Support Engineer, you will enhance customer support for LanceDB by building infrastructure, maintaining knowledge-bases, troubleshooting customer issues, and collaborating with engineering teams. Your expertise in distributed databases and proficiency in Rust and Python will help optimize cloud-native database deployments.

The Smart Contract Engineer will design, implement, and optimize smart contracts on Solana, focusing on vault architecture, security, and performance in DeFi protocols.

The Optimization Engineer will lead the development of optimization platforms using real-time data and asset intelligence to make automated market decisions while enabling collaboration between teams for operational excellence.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.