MEDvidi is looking for a Staff/Senior Backend Developer who will shape a reliable backend architecture and push the boundaries of innovation in a fast-paced environment.
Requirements
7+ years of experience in backend development using Node.js (experience with Angular is a plus but not required).
Deep expertise in designing and building scalable, high-performance backend systems.
Experience leading technical initiatives and mentoring engineers.
Familiarity with Amazon Web Services (AWS), including Amazon Bedrock for AI-driven solutions.
Extensive experience with AI-driven automation (chatbots, business process automation, agent-based AI architectures).
Strong knowledge of observability tools (Grafana, OpenSearch) and experience in designing resilient, monitored systems.
Proficiency in designing and implementing robust APIs
Hands-on experience with unit testing, integration testing, and CI/CD automation (Jest)
Deep experience working with PostgreSQL, including performance tuning and schema design for AI-related workloads.
Strong product mindset with a focus on delivering high-quality, user-centric solutions
Proficiency in Russian.
Responsibilities
Architect and design the backend systems for AI-powered automation solutions, ensuring scalability, reliability, and maintainability.
Lead technical decision-making, setting standards for backend engineering best practices within the team.
Guide the implementation of agent-based architectures where multiple AI agents communicate, make decisions, and integrate with external services.
Build and optimize high-performance, real-time APIs that support AI-driven workflows across multiple domains.
Oversee and optimize data pipelines for real-time and batch processing, ensuring data consistency, high throughput, and cost efficiency.
Drive technical excellence by mentoring engineers, conducting design reviews, and promoting high-quality coding standards.
Collaborate closely with product & platform teams to align AI features with backend architecture and business needs.
Define and enhance observability, monitoring, and alerting strategies to maintain system health and improve troubleshooting capabilities.
Own critical performance, security, and reliability initiatives, ensuring that AI-driven applications meet enterprise standards.
Actively contribute to the continuous improvement of the engineering culture, tools, and processes.
Represent the engineering team in cross-functional discussions, advocating for technical solutions that align with business goals.
