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Senior Backend Engineer
HíbridoTiempo completoBackend DevelopmentData InfrastructureEnterprise Software
Join an engineering team building a cloud-native SaaS platform for autonomous, AI-powered enterprise workflows. Design and operate scalable backend systems, distributed services, and production AI integrations in a collaborative hybrid environment.
Responsabilidades
- 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 best practices
- Improve monitoring, observability, automation, and CI/CD operations
Requisitos
- At least 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
- Hands-on 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
- Ability to drive complex technical initiatives
Se valora
- Experience with Microsoft Azure or Google Cloud Platform
- Production deployment and operation of AI/ML workloads
- Agentic systems, AI orchestration frameworks, RAG architectures, or LLM applications
- Observability and monitoring tools
- Infrastructure-as-code and automation technologies
- Security, compliance, and enterprise-scale software requirements
Beneficios
- Opportunity to build autonomous AI systems for enterprise customers
- Technical and collaborative engineering culture
- Ownership of large-scale projects
- Exposure to AI, cloud infrastructure, and distributed computing
- Competitive compensation and growth opportunities
- Hybrid working environment