Remote Software engineering Jobs · APIs

As an Engineering Director you will be responsible for the development and performance of key parts of our applications – orchestrating the actions of millions of grid-edge devices to safeguard the grid and enable its decarbonization. You’ll bring your technical expertise and your empathetic leadership to make sure we do that job safely and correctly, and empower our clients to clearly understand and easily use our platform.

Lead complex, high-impact data initiatives and shape the architecture that powers Spreetail’s next generation of analytics and automation. As a Staff Engineer on the Data Engineering Platform team, combine deep technical expertise with strong leadership to design scalable systems, mentor engineers, and drive innovation across our data ecosystem.

You will work with the Engineering Manager, Product Manager and the rest of the engineering team to plan, build, release and maintain high quality software. You will be the primary driver of the system architecture, technical direction and team member’s technical skill development. When you join Anchorage, we expect you to drive our products forward by developing novel solutions for our institutional clients.

As a Staff GTM Software Engineer, you'll play a pivotal role in connecting customer needs, GTM execution, and the future of AX by helping position Netlify as the world’s best platform for modern build teams and the intelligent agents that increasingly support them. You'll use your expertise in full-stack development to ship internal tools, dashboards, and workflows that unify data from sales, marketing, and product usage.

Fully remote position for an AI Solutions Engineer. As a problem solver with a detail and objective-oriented mindset, you will work 40 hours/week. You should have 2+ years in a developer-facing or technical support role and a degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent coupled with experience working with open-source generative AI models and familiar with Kubernetes and cloud infrastructure.

Embed with strategic customers as a technical partner, working from problem discovery to solution implementation and customer adoption; Architect, build, deploy, and operate agentic Generative AI systems; Work in cloud, on-prem, and edge/air-gapped environments to ensure software can run where the mission demands.