Senior Backend Engineer | AI, Scalable Systems

Join an advanced AI unit operating in the VISINT (Visual Intelligence) domain, focused on developing and deploying cutting-edge models for analyzing Earth Observation (EO) and Synthetic Aperture Radar (SAR) satellite imagery.

This role sits at the intersection of AI research and operational impact, transforming advanced machine learning capabilities into scalable, production-grade systems that deliver real-world intelligence.

What You'll Do?

• Design, develop, and maintain high-performance, scalable, and reliable Backend services and APIs.
• Lead the design and implementation of modern microservices architectures and distributed systems.
• Manage the full data lifecycle, including integration with diverse data sources and large-scale satellite datasets.
• Build and optimize data pipelines that power AI and ML workflows.
• Deploy and manage services on Kubernetes-based distributed infrastructure.
• Improve system performance, scalability, availability, and latency across mission-critical environments.
• Implement monitoring and observability solutions to ensure production reliability.
• Collaborate closely with AI Researchers, ML Engineers, and DevOps teams to operationalize advanced AI capabilities.

Requirements

• Proven experience as a Backend Developer / Software Engineer.
• Strong proficiency in backend technologies such as Python, JavaScript, TypeScript, or similar.
• Hands-on experience designing APIs, microservices, and distributed architectures.
• Experience with Docker and Kubernetes.
• Experience with both relational and non-relational databases.
• Strong background working with cloud platforms (AWS, GCP, or Azure).
• Deep understanding of scalability, reliability, performance optimization, and security best practices.
• Strong collaboration skills and ability to work in multidisciplinary teams.

Nice to Have

• Experience working with EO/SAR satellite data.
• Experience with messaging and streaming platforms such as Kafka or RabbitMQ.
• Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry.
• Experience building real-time or low-latency systems.
• Knowledge of MLOps practices and AI model integration.

Why This Role?

This is a strategic position at the core of an advanced AI organization. You will build the infrastructure that enables sophisticated AI models to operate at scale, bridging cutting-edge research with real-world operational impact. Ideal for engineers who want to combine complex backend development, cloud-native architectures, AI systems, and satellite intelligence in one of the most challenging and innovative technology environments.