In this role, you will drive geospatial data sourcing, automation, and tooling in an AI/ML pipeline for new applications. You will contribute to and own data research and sourcing, automating data preprocessing, and building tooling to export the geospatial data outputs of an AI/ML pipeline for use in building interactive applications. This role involves working closely with different teams in our organization.
This is a unique opportunity to accelerate your international career and work in a groundbreaking company. In this hands-on role, you’ll analyze cloud architectures, develop automated insights, and collaborate with data science to integrate AI/ML into our optimization workflows. Your work will directly impact enterprise customers by driving smarter, more cost-effective decisions across their Azure environments.
Design and build cloud-native platforms on AWS using Java and Spring Boot. Develop AI-powered services that enhance customer interactions using agentic AI principles. Create robust, event-driven systems and microservices architectures for scalability and resilience. Collaborate across teams to understand business processes, identifying opportunities for AI-powered automation and customer experience enhancements.
As a Senior SRE, you will play a pivotal role in ensuring the reliability, scalability, and performance of our services. You will lead efforts in building and maintaining a robust infrastructure, automating processes, and guiding the team to implement best practices in site reliability.