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Software Engineer Intern
Sin especificarTiempo completoBackend DevelopmentEnterprise Software
Join an Agile team building and operating a scalable cloud platform for FinOps and billing. Develop backend services, distributed data pipelines, and AI-powered tools. Work at least three days per week with an international team.
Responsabilidades
- Develop and enhance cloud-native distributed systems for high-volume event data collection, processing, aggregation, and mediation.
- Build backend services and integrations with billing and financial systems, including data ingestion through processing, aggregation, and billing.
- Contribute to Big Data pipelines and scalable microservices; work with databases, event-driven architectures, messaging, and queuing systems.
- Improve observability, monitoring, reliability, scalability, and performance.
- Build AI-powered tools, MCP integrations, agents, and skills for operations, troubleshooting, monitoring, data analysis, and automation.
- Develop tools that let AI agents query system data and assist with system management; explore agentic AI approaches.
- Troubleshoot production systems, improve stability and performance, and optimize development, testing, and operational automation.
- Collaborate with developers, architects, and domain experts in an international team.
Requisitos
- Currently pursuing a B.Sc. or M.Sc. in Computer Science, Software Engineering, Information Systems, or a related field, with an academic average of at least 80.
- At least 1.5 years remaining until graduation, or currently pursuing a master’s degree.
- Solid programming skills and software engineering fundamentals; experience with one or more programming languages.
- Fluent English and comfort working in an international, English-speaking environment.
- Availability to work at least three days per week.
Se valora
- Experience with Spring Boot.
- Knowledge of cloud-native architectures, microservices, distributed systems, Big Data, databases, data processing, event-driven systems, messaging, or queuing systems.
- Knowledge of Docker and Kubernetes.
- Interest or experience in AI-assisted development, large language models, agents, MCP, or AI automation.