Engineering Software Engineer, Full Stack

At Proxikle, building products means going beyond traditional frontend and backend boundaries. As a Software Engineer, Full Stack, you will work across the entire product surface using Next.js for the frontend and Rust or Go for backend services.

This is a research focused engineering role where you will prototype new ideas, explore performance tradeoffs, and design scalable systems. You will collaborate with infrastructure, design, and data teams to deliver full stack features that are secure, fast, and intuitive. Whether it is building custom UI components or crafting high-performance APIs, your work will shape core experiences across the Proxikle ecosystem.

• Design and implement full stack features using Next.js on the frontend and Rust or Go on the backend
• Research and experiment with system architectures, API patterns, and rendering strategies for performance and reliability
• Build responsive and accessible user interfaces that integrate deeply with backend systems
• Write scalable microservices and internal APIs that interact with databases, caches, and internal tools
• Debug and optimize code across the entire stack from client-side bundles to backend latency
• Collaborate with product designers, researchers, and infrastructure teams to take ideas from concept to production
• Participate in code reviews, architecture discussions, and technical explorations across teams
• Maintain clean, well-documented, and testable codebases

• Experience developing backend services using Rust or Go
• Solid understanding of APIs, HTTP, authentication flows, and asynchronous programming
• Ability to work across the stack and debug both client-side and server-side issues

• Experience working in a research or prototyping environment
• Familiarity with SSR and CSR patterns in Next.js as well as performance optimization techniques
• Exposure to Postgre
  
  SQL, Redis, or other storage engines
• Experience writing high-performance backend systems or CLI tools in Rust or Go
• Familiarity with containerized workflows, CI pipelines, and system observability

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