Full-Stack TypeScript Engineer
WanderFull Time
Mid-level (3 to 4 years)
Candidates must possess 8+ years of professional software engineering experience, with a strong background in full-stack development, React, TypeScript, Node.js, and GraphQL. A deep understanding of cloud-native systems and experience deploying to AWS, along with solid grasp of SQL and NoSQL data modeling, is required. Proven technical leadership, including driving architecture, mentoring, and owning delivery, is essential. Professional English proficiency for effective communication is also necessary. Experience with AI/ML tools, Docker, Kubernetes, CI/CD practices, and global distributed teams are considered advantageous.
The Lead Full Stack Developer will own the end-to-end design and implementation of scalable features and system components. They will lead architecture discussions, define technical standards, and mentor other engineers through code reviews and design sessions. This role involves partnering with Product and Design to shape the roadmap and define requirements, ensuring high performance, reliability, and scalability across the stack. Additionally, they will help evolve the engineering culture by implementing best practices in testing, CI/CD, and DevOps, serving as a go-to technical expert for Full Stack development in React and Node.js.
SaaS solutions for revenue growth management
Varicent provides software solutions that help businesses improve their revenue growth. Their products allow companies to create effective territory and quota plans, streamline their revenue operations, and design incentive programs that motivate sales teams. Varicent's software works by offering tools that enable users to analyze data and make informed decisions about their sales strategies. What sets Varicent apart from its competitors is its focus on the specific needs of revenue leaders, ensuring that their solutions are tailored to help clients achieve their growth goals. The main aim of Varicent is to empower businesses to optimize their sales performance and revenue management processes through data-driven insights.