Senior Software Engineer

We are looking for a Senior Software Engineer (5–8+ years experience) to join our team and take a lead role in architecting and building robust, scalable, and high-performance applications that power business-critical solutions — increasingly powered by AI agents and LLM-driven workflows.

The ideal candidate has deep expertise in modern web technologies, a strong command of distributed systems architecture, and a track record of designing event-driven microservices at scale. Exposure to LLM providers (Anthropic, OpenAI) for building agentic systems and RAG pipelines is a strong plus, as we continue to weave AI-powered capabilities into our products. You will drive technical direction, set engineering standards, and mentor other engineers while designing systems that scale seamlessly in cloud-native environments.

If you're passionate about modern software architecture, microservices, and cloud-first development — with an interest in agentic AI — you'll thrive at Ryewalk.

• Architect and build scalable applications using Node.js, TypeScript, and React, with a strong focus on performance, maintainability, and long-term technical health.
• Lead the design and development of microservices with event-driven architecture and asynchronous communication patterns, making key architectural decisions on service boundaries and trade-offs.
• Design and implement robust APIs (REST/GraphQL), setting standards for error handling, validation, versioning, and documentation across teams.
• Own distributed systems design decisions involving message queues (Kafka), databases (PostgreSQL), and caching layers (Redis), including capacity planning and failure-mode analysis.
• Contribute to (or lead, depending on experience) the design of AI agentic workflows and RAG pipelines using LLM providers such as Anthropic (Claude) and OpenAI, as these capabilities get built into our products.
• Partner with cross-functional teams and product stakeholders to shape technical roadmaps and deliver features from conception to production deployment.
• Drive deployment strategy and maintain applications in Kubernetes clusters, improving CI/CD automation and release practices.
• Lead performance optimization initiatives through profiling, monitoring, and database query optimization, identifying systemic bottlenecks before they become incidents.
• Set the bar for test coverage and quality, championing comprehensive testing strategies (unit, integration, e2e) across the team.
• Lead code reviews, mentor junior and mid-level engineers, and drive technical decision-making and architecture discussions.
• Act as a technical escalation point for complex production issues and cross-service design challenges.

Must-Have Skills

• 5–8+ years of software development experience with a demonstrated track record of owning systems end-to-end.
• Deep proficiency in Node.js and TypeScript, with strong command of async/await, promises, and the event loop internals.
• Extensive React experience including hooks, state management, component architecture, and performance optimization at scale.
• Strong database expertise with PostgreSQL, including query optimization and schema design.
• Proven API development experience with RESTful services, authentication, and data validation in production systems.
• Advanced Git proficiency and experience defining collaborative development workflows for a team.
• Strong grasp of software engineering principles including SOLID, design patterns, and clean code — with the judgment to know when to apply (or bend) them.
• Experience mentoring engineers and influencing technical direction beyond your own codebase.

Nice-to-Have Skills

• Experience building AI agentic systems, including working with LLM provider APIs (Anthropic Claude, OpenAI) for agent orchestration, tool/function calling, and multi-turn reasoning workflows.
• Practical experience building RAG systems — vector databases, embedding models, chunking/retrieval strategies, and prompt engineering for grounded responses.
• Familiarity with agent frameworks (e.g., LangChain, LlamaIndex, Anthropic's Agent SDK/MCP, OpenAI Assistants API, or custom-built orchestration layers).
• Experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant) and embedding/retrieval optimization.
• Python development experience for backend services or automation.
• Hands-on experience leading microservices architecture efforts, including service decomposition and inter-service communication design.
• Deep event-driven systems knowledge with message brokers like Kafka or RabbitMQ.
• Redis experience for caching, session management, and real-time features at scale.
• Kubernetes deployment experience with containerization (Docker) and orchestration, including cluster-level troubleshooting.
• AWS cloud services experience (EC2, RDS, S3, Lambda, EKS), including cost and architecture trade-off decisions.
• Experience setting up monitoring and observability practices (OpenTelemetry, Grafana, logging frameworks) across a team or org.

Architecture Mindset – You think beyond individual features to design scalable, maintainable systems, and can defend your design decisions under scrutiny.

AI-Curious & Pragmatic – You're open to exploring agentic AI and grounded enough to know when an LLM is the right tool and when it isn't.

Performance Conscious – You care about application performance, memory usage, and efficient algorithms, and know how to diagnose issues others miss.

Quality Focused – You write testable code, believe in comprehensive testing strategies, and hold others to the same standard.

Cloud Native – You understand modern deployment patterns and containerized applications deeply enough to make informed trade-offs.

Great Communicator & Mentor – You articulate technical concepts clearly, collaborate effectively across teams, and help others grow.

Tech Enthusiast – You're genuinely passionate about high-tech solutions and love exploring new technologies.

Fun to Work With – You bring positive energy and make work enjoyable while maintaining high standards.

Technical Excellence – Work with cutting-edge technologies and modern architectural patterns.

AI-Forward Engineering – Build with the latest in agentic AI, LLMs, and RAG as part of our product direction.

Scalable Systems – Build applications that handle real business load and complexity.

Cloud-First Approach – Deploy and manage applications in modern cloud-native environments.

Fun Work Environment – We believe great software comes from teams that enjoy working together.

Open Communication – Share ideas freely in an environment that values diverse perspectives and clear dialogue.

Ownership Culture – Take full ownership of features and systems from design to production with team support.

Flexible Work – Hybrid-friendly environment that trusts you to deliver results while maintaining work-life balance.