The Site Reliability Engineer will design, deploy, and operate large-scale distributed systems across compute, storage, and AI/ML environments. They will also automate workflows, build observability solutions, and collaborate with teams to ensure infrastructure resilience.
You will be responsible for the design, implementation, and administration of database solutions while ensuring maximum uptime and recoverability. Additionally, you will provide technical leadership, mentor team members, and act as a trusted advisor to customers regarding their infrastructure and operational processes.
You will design, deploy, and operate large-scale distributed systems while automating workflows across compute, storage, and networking environments. Additionally, you will collaborate with AI/ML teams to ensure infrastructure readiness and participate in on-call rotations to maintain system resilience.
The consultant will manage and support Oracle database infrastructure, including configuration, maintenance, and disaster recovery planning. They will also lead problem management efforts and collaborate with clients to implement innovative data architecture solutions.
You will design, deploy, and operate large-scale distributed systems while automating workflows across compute, storage, and networking environments. Additionally, you will collaborate with AI/ML teams to ensure infrastructure readiness and participate in on-call rotations to maintain system resilience.
Design and develop end-to-end cloud-based data solutions while creating software artifacts to automate implementations and migrations. Manage large datasets, perform data processing analysis, and ensure the reliability and performance of data pipelines and infrastructure.
The Data Architect will own the end-to-end design and implementation of data platforms, including ingestion, lakehouse layers, and transformation pipelines. They will also be responsible for writing code, deploying models, and establishing governance practices across the team.
You will define the technical vision and architecture for AI/ML solutions while leading engineering teams to deploy scalable models into production. This role involves partnering with executive leadership and cross-functional teams to operationalize advanced models and ensure business outcomes.
You will design, develop, and implement robust AI/ML pipelines while integrating Large Language Models and Generative AI into production environments. The role involves collaborating with data scientists and software engineers to optimize model performance and ensure scalable deployment across cloud platforms.
Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client-driven projects. Collaborate with data scientists and software engineering teams to integrate scalable AI models into production environments.
The role involves operating and maintaining client infrastructure while identifying opportunities for automation and resiliency improvements. You will act as a technology leader and mentor, providing root cause analysis and driving technology road maps for clients.
The Sales Executive will build and execute a territory plan to drive new logo acquisition and expand existing accounts through consultative sales of AI and data services. They will orchestrate complex sales cycles by coordinating internal resources and co-selling with hyperscaler and OEM partners.
You will operate and maintain customer infrastructure while identifying opportunities to improve resiliency and automate administrative tasks. Additionally, you will act as a technology leader and mentor, providing root cause analysis and driving technology road maps for clients.
The Senior Sales Executive will build and execute a territory plan to drive new logo acquisition and expand existing accounts through complex enterprise sales cycles. They will lead discovery and solution conversations regarding AI and data services while orchestrating internal resources and partner co-sell motions.
Provide 24/7 global network support and manage complex networking solutions in enterprise data centers and remote offices. Handle high-severity escalations, coordinate with ISPs, and implement permanent remediations for network incidents.
Design, deploy, and operate large-scale distributed systems across compute, storage, and AI/ML environments. Focus on automating workflows, optimizing Kubernetes clusters, and building observability solutions to ensure system resilience.
Drive revenue growth by hunting new logos and expanding existing accounts through the sale of Production AI and Database Managed Services. Orchestrate complex enterprise sales cycles and co-sell with hyperscaler partners like Google Cloud and Oracle.
