Top Software Engineer Jobs

The Chief Engineer will set the technical vision for AI and machine learning programs, manage execution, and lead multi-disciplinary teams to deliver innovative solutions.

Lead software development for AI, ML, and decision systems, manage technical teams, and drive innovation for National Security solutions.

Lead a team developing advanced applications using AI, ML, and Generative AI, overseeing projects and ensuring high-quality solutions that meet business goals.

Manage complaint records for SaMD applications, ensure audit readiness, perform trend analysis, and coordinate quality aspects of software releases while collaborating with cross-functional teams.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

As a Senior Backend Engineer at GitLab, you'll design and optimize AI-driven backend features for CI processes, improve system reliability, and collaborate cross-functionally to enhance platform performance.

As a Principal Solutions Architect, you will guide customers in using GitLab's AI-powered platform, driving technical strategy and engagement across the software lifecycle while collaborating with multiple teams to enhance adoption and success.

Lead modernization and governance of enterprise data platforms, manage engineering teams, drive strategic data initiatives, and ensure compliance and innovation.

As a Software Engineer, you'll contribute to developing AI agent systems, implementing algorithms, and enhancing products while collaborating with experts and mentoring other engineers.

As a Software Engineer Principal, you will architect GenAI platforms, ensuring solutions are production-ready while aligning business strategies with software solutions.

The iOS Engineer II will develop scalable Android features, collaborate with teams, optimize app performance, and ensure code quality.

The Software Engineer II (Frontend) will design and develop user experiences for WHOOP's digital products, focusing on responsive web applications and collaboration across teams.

As a Senior Software Engineer, you'll build scalable systems, collaborate with teams to deliver software features, and ensure high-quality applications.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

Develop AI-assisted tools for Datadog developers, focusing on generating tests, fixing bugs, and improving performance with LLM integration.

Lead diverse technology projects and a team of developers in creating solutions to meet regulatory needs, leveraging full stack systems and cloud-based solutions.

Join DigitalOcean as a Senior Engineer to design and develop high-scale AI data plane services, optimizing performance and mentoring junior engineers.

The Staff IT Engineer will lead AI enablement by developing tools, integrating systems, automating workflows, and enhancing business productivity across Openly.

Lead the development of JumpCloud's AI platform, focusing on architecture, AI model integration, and mentoring engineers while ensuring operational excellence and customer satisfaction.

As a Software Engineer for the AI Platform, you will design, develop, and implement scalable applications, focusing on AI-driven systems and platform engineering, while collaborating with cross-functional teams.

As a Senior Software Engineer, you will design and implement AI agents to automate DevOps and DBA workflows, ensuring agents operate safely and effectively in real infrastructure environments.

The Principal Software Engineer will lead AI software architecture for vehicle smart cabin features, optimize and implement machine learning models, and mentor teams.

Lead the design and deployment of AI agents, drive technical direction, collaborate with teams, conduct reviews, and improve technology stack.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.