Staff Software Engineer - US (Remote)
Team: Engineering
Location: United States
Commitment: Full-time
Workplace Type: remote
What You’ll Do
- Lead the design and implementation of complex systems and platform capabilities
- Drive large-scale, cross-functional projects that align technical strategy with business objectives
- Define architectural patterns and standards that improve system scalability, resilience, and maintainability
- Mentor engineers across teams, elevate technical skills, and influence career growth
- Partner with product, design, and AI teams to deliver AI-native product experiences and developer tooling
- Lead technical initiatives that improve developer efficiency, reduce risk, and unlock innovation
- Foster a culture of excellence through technical leadership in design and code reviews
- Share knowledge through documentation, workshops, and cross-team collaboration
What We’re Looking For
- Passion for building in an AI-augmented environment
- Familiarity with AI tools and agent workflows; experience building or deploying AI-driven products is a plus
- 8+ years of professional experience in full-stack engineering
- Deep expertise in JavaScript/TypeScript, Node.js, and modern front-end frameworks like React
- Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred)
- Strong understanding of GraphQL, event-driven systems (Kafka/SQS), and distributed databases
- Proven track record leading high-impact initiatives from concept through production
- Expert-level grasp of software design principles such as SOLID, DI, and domain-driven design
- Experience building SaaS platforms, ideally with multi-tenant architecture
- Strong communicator and collaborator across product, design, AI, and engineering teams
- Ability to connect technical decisions to customer impact and long-term business value
Tech Stack
- Frontend: React, Tailwind, Apollo, SingleSPA
- Backend: Node.js, TypeScript (microservices), Python ETLs
- AI: LangChain, LangFuse, OpenRouter, Mastra
- Data: PostgreSQL, DynamoDB, Elasticsearch
- Infrastructure: AWS, Kubernetes, Lambda
- Messaging: Kafka, SQS
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