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Senior Backend Engineer
ГибридПолная занятостьBackend DevelopmentEnterprise SoftwareData Infrastructure
Join an enterprise software team building cloud-native SaaS platforms and autonomous AI systems. Design and scale production-grade backend services, distributed systems, and agentic workflows for enterprise customers.
Обязанности
- Design, develop, and maintain scalable backend services and APIs
- Build cloud-native SaaS solutions for enterprise-scale workloads
- Architect reliable, performant, and secure distributed systems
- Develop and operate Kubernetes-based microservices
- Design and optimize data models, storage layers, and database performance
- Integrate AI services and agentic workflows into platform capabilities
- Collaborate with product managers, architects, AI engineers, and SRE teams
- Participate in technical design reviews, code reviews, and engineering practices
- Improve monitoring, observability, automation, and CI/CD operations
Требования
- 8+ years of software development experience focused on backend systems
- Strong proficiency in Node.js and TypeScript
- Experience building and operating cloud-based SaaS platforms
- Experience designing distributed systems and microservice architectures
- Deep knowledge of AWS and cloud-native application development
- Experience with Kubernetes and containerized workloads
- Strong experience with relational databases such as PostgreSQL, MySQL, or SQL Server
- Experience with RESTful APIs and event-driven architectures
- Proficiency with GitHub, CI/CD pipelines, and modern software development practices
- Experience integrating AI services into production applications
Будет плюсом
- Experience with Microsoft Azure or Google Cloud Platform
- Production deployment and operation of AI/ML workloads
- Experience with agentic systems, AI orchestration frameworks, RAG architectures, or LLM applications
- Knowledge of observability and monitoring tools
- Experience with infrastructure-as-code and automation
- Familiarity with security, compliance, and enterprise-scale software requirements
Условия и преимущества
- Hybrid working environment
- Competitive compensation and growth opportunities
- Collaborative, highly technical engineering culture
- Ownership of large-scale projects
- Exposure to AI, cloud infrastructure, and distributed computing