Top Software Engineer Jobs

Manage a team of engineers developing AI-driven features, ensure adherence to best practices, and foster a culture of innovation and learning.

The role involves implementing AI applications, collaborating with hardware architects, optimizing algorithms, and researching emerging AI technologies to improve engineering workflows.

The Principle Solutions Architect will lead capture activities, develop innovative solutions, and mentor teams for complex government proposals.

As a Cloud Software Engineer at CrowdStrike, you will develop scalable cloud solutions, innovate with Large Language Models, and maintain data pipelines while ensuring high coding quality and collaborating with teams.

As a Backend Engineer, develop and enhance cloud microservices, implement solutions for cyber threats, and work with Large Language Models while collaborating across teams.

The Principal Detection Engineer will develop and implement advanced threat detection systems using AI and ML technologies, optimize detection models, and collaborate across teams to enhance cybersecurity efforts.

Lead a team of developers to deliver AI-driven data solutions, utilizing AWS, Python, SQL, and big data technologies while collaborating across Agile teams.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

Lead software engineering projects and mentor junior staff while delivering innovative solutions. Oversee large-scale systems and enhance operational processes.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

As an AI Copilot Software Engineer, you'll develop features for customer support AI, enhancing agent efficiency and experience through innovative solutions and performance optimization.

The Engineering Manager will lead the AI/ML Platform team, enhance AI infrastructure, ensure safety and efficiency, and mentor engineers in a dynamic environment.

As Engineering Manager, lead AI/ML infrastructure development, guide team through technical challenges, ensure safety in AI applications, and mentor engineers in a dynamic environment.

Seeking an experienced AI Systems Reliability Engineer to ensure the reliability and performance of AI services, focusing on metrics, monitoring, and incident response.

As a Lakehouse Core Engineer, you'll enhance data systems, optimize storage and compute, develop ACID transactions, and improve query performance, focusing on petabyte-scale efficiency.

The role involves designing scalable AI/ML infrastructure, optimizing model training processes, and collaborating with teams to enhance platform capabilities.

Design and build web applications using React and TypeScript, lead development on Spruce and Parsley, collaborate with backend engineers, and mentor team members.

Lead the development of full stack solutions, focusing on AI innovations and improving developer experiences while managing a technical team.

Design and develop AWS cloud solutions focusing on AI and compute services, managing infrastructure, and ensuring security, while collaborating with stakeholders.

As an Engineering Intern, you'll work on technology projects, learn about AI and automation in finance, collaborate with teams, and participate in community events.

Lead the LLM as a Service team to innovate customer experiences, manage scalable AI infrastructure with Kubernetes, and collaborate with security teams to comply with standards.

As a Lead AI/DevOps Engineer, you will manage AI infrastructure, develop solutions for AI use cases, and collaborate with teams to optimize resources for AI workloads.

Lead DevOps initiatives and design AI infrastructure using Kubernetes. Innovate AI solutions, collaborate with security teams, and support customer needs throughout the AI product lifecycle.

Lead DevOps initiatives for AI infrastructure, manage Kubernetes orchestration, develop AI use cases, partner with security, and engage with customers.

Lead AI/DevOps Engineer focused on managing AI infrastructure, driving customer experience strategies, and ensuring compliance with best practices while collaborating with teams to optimize resources.