Описание
CoreStar is a dynamic technology company supporting partners in heavy-load industries with high-performance solutions. Its teams focus on innovation, collaboration, and efficiency while developing impactful products.
Задачи
•Develop scalable backend systems for high-load applications
•Build RESTful services, GraphQL APIs, and real-time WebSocket connections
•Optimize application performance through bottleneck identification, caching strategies, and resource utilization
•Design and implement integrations with external APIs, payment systems, and service providers
•Participate in the full development lifecycle from architecture design through deployment and monitoring
•Use AI agents as part of daily engineering work
•Contribute reusable AI skills, commands, automation, and workflows for the team
•Automate repetitive engineering work
•Write clean, well-documented code following best practices and design patterns
•Monitor and troubleshoot production systems
•Investigate complex issues and optimize database queries
•Collaborate with product managers, designers, and other developers
•Learn and evaluate new tools, frameworks, and best practices in the Node.js ecosystem
Требования
•5+ Years of professional software development experience focused on backend systems
•4+ Years of hands-on Node.js development in production environments
•Deep understanding of JavaScript runtime internals
•3+ Years of experience with high-load systems and high-availability requirements
•Proven experience with application scaling, database optimization, and system architecture
•Advanced JavaScript and TypeScript proficiency
•Deep knowledge of the Node.js ecosystem, event loop, and performance optimization
•Experience with RESTful services, GraphQL, WebSocket connections, and third-party API integrations
•Experience with MySQL, MongoDB, Redis / Valkey, query optimization, indexing, and schema design
•Experience with NATS or Apache Kafka and distributed, event-driven architectures
•Experience with Prometheus, Grafana, and ELK stack
•Experience with Docker and Kubernetes
•Experience with AWS or Azure, auto-scaling, load balancing, and distributed systems
•Hands-on experience with agentic development tools such as Claude Code or equivalent
•Experience creating reusable AI skills, commands, agent workflows, or MCP integrations
•Ability to verify model output before acting on it
•Strong English communication skills for technical discussions and complex documentation
•Strong understanding of scalability, caching, and optimization techniques
•Ability to debug complex distributed systems and design solutions for challenging technical problems
•Ability to adapt engineering workflows as AI tooling changes
Условия
•24 Working days of paid annual leave
•6 Days of paid sick leave
•Official employment
•Medical insurance
•Coffee zone with fruit and snacks available in the office
•Corporate lunch provided by the company
•Gym and sports classes
•Healthy and friendly work atmosphere
•Greek and English language classes partially covered
