Original listing text, shown exactly as published by the company.
About the role
As a Senior Full-Stack Engineer with a backend focus, you'll help shape the future of customer engagement through cutting-edge AI. You'll play a critical role in building products that deliver timely, actionable insights and measurable business value from day one. Our team is developing state-of-the-art AI-powered capabilities that equip contact center agents with knowledge-grounded, context-aware assistance and intelligent task automation before, during, and after customer interactions. Join us as we redefine how businesses connect with their customers at scale.
Responsibilities
- Design, build, and maintain scalable backend services, APIs, and distributed systems that power our AI-driven products.
- Partner closely with frontend engineers, machine learning engineers, data scientists, product managers, and designers to deliver end-to-end customer experiences.
- Own the reliability, performance, and scalability of production systems, proactively identifying and resolving issues before they impact customers.
- Write clean, maintainable, and well-tested code, following engineering best practices and contributing to a high-quality codebase.
- Participate in architecture discussions, code reviews, testing, and continuous integration efforts to ensure engineering excellence.
- Design and implement secure, resilient, and highly available services that meet the demands of enterprise customers.
- Analyze and evolve system architecture to improve performance, scalability, reliability, and operational efficiency.
- Drive technical decisions and contribute to the team's engineering culture through mentorship, knowledge sharing, and continuous improvement.
Qualifications We Value
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
- 5+ years of experience building and operating backend systems, distributed systems, or cloud-native infrastructure in production environments.
- Strong proficiency in backend programming languages such as Go and Python.
- Experience designing, building, and maintaining RESTful APIs and service-oriented architectures.
- Hands-on experience with Elasticsearch or similar search and indexing technologies for large-scale datasets.
- Solid understanding of distributed systems, microservices architectures, and cloud platforms.
- Experience troubleshooting and optimizing system performance, reliability, and scalability.
- Strong analytical and problem-solving skills, with a focus on delivering pragmatic solutions.
- Excellent communication and collaboration skills, with the ability to work effectively across engineering and cross-functional teams.
