In this role, youll lead both Frontend and Backend engineers, building features that enhance platform performance, stability, scalability, and intelligence. Youll also play a key role in integrating modern AI capabilities into the platform, including Large Language Models (LLMs), AI-driven workflows, and emerging standards such as Model Context Protocol (MCP).
If youre passionate about building scalable, high-performance systems, solving complex technical challenges, and applying AI in real-world products, wed love to hear from you.
Key Responsibilities:
Lead and mentor a team of Frontend and Backend engineers, supporting their professional growth and technical development
Design and build scalable, high-quality web applications while promoting engineering best practices, architecture standards, and efficient development processes
Drive engineering excellence through high-quality code, strong documentation, testing, and monitoring practices
Identify and resolve technical challenges, system issues, and performance bottlenecks
Collaborate with cross-functional teams, including Product, DevOps, and Support, to ensure smooth feature delivery and platform reliability
Stay up to date with emerging backend and AI/LLM technologies, and lead the adoption of relevant innovations into the platform
If youre passionate about building scalable, high-performance systems, solving complex technical challenges, and applying AI in real-world products, wed love to hear from you.
Key Responsibilities:
Lead and mentor a team of Frontend and Backend engineers, supporting their professional growth and technical development
Design and build scalable, high-quality web applications while promoting engineering best practices, architecture standards, and efficient development processes
Drive engineering excellence through high-quality code, strong documentation, testing, and monitoring practices
Identify and resolve technical challenges, system issues, and performance bottlenecks
Collaborate with cross-functional teams, including Product, DevOps, and Support, to ensure smooth feature delivery and platform reliability
Stay up to date with emerging backend and AI/LLM technologies, and lead the adoption of relevant innovations into the platform
Requirements:
7+ years of experience in backend and frontend development, including at least 4 years in a team leadership role
Strong backend development experience with Node.js, Python, and TypeScript
3+ years of frontend development experience with React
Hands-on experience with AWS services such as Batch, S3, SNS, Lambda, DynamoDB, and RDS, including deployment and automation workflows
Proven experience designing and developing robust RESTful APIs
Strong understanding of SQL and NoSQL databases, including performance optimization and scalability best practices
Experience with cloud-native technologies, including AWS, Docker, Kubernetes, and Serverless architectures
Proven track record of delivering large-scale, high-quality products
Experience developing or integrating AI-powered product capabilities
Outstanding interpersonal and communication skills
Demonstrated ability to lead and mentor engineering teams, manage complex projects, and collaborate effectively across cross-functional teams
Advantage
Previous experience in a fast-paced startup, ideally within a SaaS company, and familiarity with the unique challenges of scaling a product.
Experience with Model Context Protocol (MCP) or similar agent/tooling frameworks
Experience working on infrastructure or core platform teams
7+ years of experience in backend and frontend development, including at least 4 years in a team leadership role
Strong backend development experience with Node.js, Python, and TypeScript
3+ years of frontend development experience with React
Hands-on experience with AWS services such as Batch, S3, SNS, Lambda, DynamoDB, and RDS, including deployment and automation workflows
Proven experience designing and developing robust RESTful APIs
Strong understanding of SQL and NoSQL databases, including performance optimization and scalability best practices
Experience with cloud-native technologies, including AWS, Docker, Kubernetes, and Serverless architectures
Proven track record of delivering large-scale, high-quality products
Experience developing or integrating AI-powered product capabilities
Outstanding interpersonal and communication skills
Demonstrated ability to lead and mentor engineering teams, manage complex projects, and collaborate effectively across cross-functional teams
Advantage
Previous experience in a fast-paced startup, ideally within a SaaS company, and familiarity with the unique challenges of scaling a product.
Experience with Model Context Protocol (MCP) or similar agent/tooling frameworks
Experience working on infrastructure or core platform teams
This position is open to all candidates.
