The Product Designer will lead end-to-end design processes to create exceptional product experiences for Cloud Native Acceleration projects. They will collaborate with cross-discipline teams including software architects and data strategists to ensure full-stack alignment.
The Product Designer will lead end-to-end design processes to create exceptional product experiences for Cloud Native Acceleration projects. They will collaborate with a cross-discipline team of architects and strategists to ensure full-stack alignment.
Design and implement scalable data warehouse solutions and advanced data pipelines to facilitate a data-driven culture. Collaborate with cross-functional teams to translate business needs into technical requirements and lead code reviews.
Design and implement scalable data warehouse solutions and advanced data pipelines to facilitate a data-driven culture. Collaborate with cross-functional teams to translate business needs into technical requirements and lead code reviews.
Lead the quality-driven migration of data pipelines by engaging with dataset owners and optimizing existing queries. Establish data quality tests, monitoring infrastructure, and ensure security compliance for PII fields.
The Data Engineer will lead a quality-driven migration of data pipelines, focusing on improving structure and reliability rather than a simple lift-and-shift. Key tasks include mapping dependencies, ensuring PII compliance, and implementing robust data quality tests and monitoring.
You will own the operation, evolution, and automation of OpenStack-based private clouds, ensuring reliability and stability. You will also troubleshoot infrastructure issues across compute, network, and storage layers while improving observability and security.
You will design, implement, and optimize cloud strategies and modern DevOps practices while collaborating with cross-functional teams. Your role involves ensuring full-stack alignment across cloud-native acceleration projects and supporting data and software architecture initiatives.
Lead the design and implementation of agentic pipelines and LLM-based applications while taking end-to-end responsibility from architecture to production. Define evaluation frameworks and feedback loops to ensure high-quality AI system performance and reliability.
You will build production-ready LLM-based applications and agentic workflows while integrating AI capabilities into existing architectures. Additionally, you will contribute to evaluation and monitoring practices to ensure the reliability and performance of AI systems.
You will design and implement scalable data warehouse solutions while collaborating with an international team to drive data-driven insights. Additionally, you will lead code reviews, suggest process improvements, and manage the full development lifecycle of data pipelines.
You will design, implement, and optimize cloud strategies and modern DevOps practices while collaborating with cross-functional teams. Your role involves ensuring full-stack alignment across cloud-native acceleration projects and supporting data and software architecture initiatives.
The DevOps Engineer will collaborate with cross-functional teams, including architects and data strategists, to ensure full-stack alignment in Cloud Native Acceleration projects. This role is crucial for designing, implementing, and optimizing cloud strategies, data strategies, software architecture, and modern DevOps practices (DevOps 2.0).
The role involves owning the operation and evolution of OpenStack-based private clouds, focusing on reliability, upgrades, automation, and solving infrastructure problems across compute, network, and storage. Responsibilities include running and evolving the OpenStack private cloud, automating infrastructure work, and troubleshooting issues.
