Top Tech Jobs & Startups Jobs

The Lead Software Engineer will lead technical initiatives in developing cloud-native, resilient, and scalable software solutions in data management and security. Responsibilities include writing high-quality code, conducting code reviews, engaging in design discussions, and collaborating with architects and product managers.

As a Lead Full Stack Software Engineer, you'll lead technical initiatives, guide developers, and create robust cloud-native solutions in data management and security. You will ensure engineering excellence, collaborate on design discussions, and deliver impactful software for customers.

The Senior Engineer will architect, build, and deploy APIs and SDKs for training and accessing AI models. Responsibilities include enabling user interaction with LLMs, developing interfaces to enhance user experience, and ensuring API performance and governance. The role involves collaboration with AI researchers to implement safety measures in APIs.

As a Distinguished Engineer at Capital One, you will work on building robust AI systems, designing fault-tolerant infrastructure for ML, deploying large-scale training clusters, and implementing MLOps capabilities. Your role involves collaborating with AI engineers and researchers to enhance enterprise AI capabilities in a cloud environment.

As a Distinguished Engineer at Capital One, you'll design robust, scalable AI systems and infrastructure supporting large-scale ML models and distributed training clusters. Collaborate with AI engineers to realize enterprise AI capabilities, work on fault-tolerant systems, implement benchmarks, and develop applications leveraging LLMs.

The Distinguished Engineer will design and build infrastructure for distributed AI systems, focusing on developing reliable, scalable, and high-performance machine learning capabilities. Responsibilities include deploying large training clusters, implementing benchmarks, and supporting MLOps for foundation models in a public cloud.

As a Distinguished Engineer at Capital One, you will design and implement robust infrastructure for AI systems, focusing on large-scale training and deployment in public cloud environments. You will lead initiatives in MLOps, develop fault-tolerant systems, and optimize for performance and scalability in AI capabilities.