Accountabilities

• Lead the development of product features throughout the entire lifecycle, from ideation and design to implementation, release, and performance analysis.
• Research market trends, analyze competitors, identify opportunities, and propose innovative features that improve user acquisition, engagement, and retention.
• Build and maintain robust backend services using Node.js and TypeScript, contributing to frontend development with React or Next.js when needed.
• Collaborate with the Tech Lead on software architecture, system design, and technical decisions that support product scalability and long-term growth.
• Design, implement, and evolve cloud infrastructure and engineering solutions, ensuring reliability, performance, security, and maintainability.
• Help develop an AI-native engineering environment that enables the team to use AI agents and agentic coding tools to build, test, and deploy solutions efficiently and securely.
• Establish and improve engineering practices, including automated testing, CI/CD pipelines, and development workflows.
• Take ownership of technical initiatives, identify opportunities for improvement, and continuously raise the quality and efficiency of product development.
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Requirements

• At least 4 years of experience in backend engineering or full-stack development with a strong backend focus, ideally within a product-led company.
• Strong proficiency in Node.js and TypeScript, with hands-on experience building and maintaining production-grade applications.
• Practical frontend development experience with React or Next.js and TypeScript.
• Solid knowledge of PostgreSQL, Redis, REST API design, and database performance optimization.
• Strong understanding of software architecture, system design, and the principles behind building scalable, maintainable systems.
• Hands-on experience with AWS, Docker, and CI/CD pipelines.
• Experience writing and maintaining automated unit, integration, and end-to-end tests.
• Active use of AI-powered development tools and agentic coding workflows, such as Cursor, Claude Code, Codex, or similar solutions.
• Strong ownership, problem-solving, and analytical skills, with the ability to make independent technical decisions and take responsibility for outcomes.
• Effective communication and collaboration skills, including the ability to exchange feedback, share technical knowledge, and work closely with cross-functional stakeholders.
• Experience designing technical architecture, establishing engineering processes, or building infrastructure at an early-stage product company is a strong advantage.
• A proactive, experimentation-driven mindset and a genuine interest in using AI to improve engineering productivity and product quality.