About the Role We’re looking for experienced engineers to help design and build global-scale libraries, modules, and platforms using modern, cloud-native technologies. You'll work on systems that are secure, well-tested, and designed for internal use across the organization.
This role focuses on creating deployable technology blueprints and solutions—especially for teams working with Generative AI and Large Language Models (LLMs). You’ll define best practices for integrating GenAI, vectorizing data, and deploying LLMs.
You’ll be working with cutting-edge tools and open-source technologies. A key part of your job is helping define technical standards and driving innovation across teams.
Key Responsibilities
* Build full-stack reference architectures and reusable patterns for use across the company.
* Develop backend systems using microservices and distributed architectures.
* Focus on security across applications, APIs, CI/CD pipelines, and hybrid cloud environments.
* Guide adoption of engineering practices across business units.
* Set standards for LLMOps, GenAI integration, and data vectorization.
* Contribute to decisions on technology direction and strategy.
Key Skills
* LLMOps and experience with Generative AI integration
* Programming experience in Go (Golang), Java, Kotlin, JavaScript/Node.js, or Python
* Strong hands-on experience with Kubernetes (K8s) and OpenShift
* Experience with MongoDB, Kafka, Prometheus, OpenTelemetry, Grafana
* Familiarity with tools like Helm, Kustomize, Terraform, and Vault
* Proven experience with hybrid cloud environments (on-prem + public cloud)
* Ability to explain complex ideas clearly to both technical and non-technical audiences
* Comfortable learning new technologies and driving technical direction