Remote Software engineering Jobs • Docker

Seeking a Senior Software Engineer to join the Video Encoding and Delivery team with Fandango at Home, where you will contribute to the systems that ingest, encode, package, and deliver premium video content. Focus on developing and optimizing video ingestion, encoding, packaging, and validation services, ensuring efficient, secure, and reliable video delivery. Work closely with the team’s Principal Engineer and collaborate across engineering, infrastructure, and quality domains.

Deliver high quality solutions using Microsoft stack (Azure, .NET 6 and 8, C# 8, .NET Core 3.x, MS SQL Server). Leverage other technologies such as (but not limited to) Elasticsearch, Docker, Selenium. Work closely with the product team to finalize requirements and deliver them in an agile manner, caring about quality, observability and maintainability. Promote culture of sharing by mentoring, and knowledge exchange.

We are looking for a seasoned Sr Staff Software Engineer to architect, lead, and drive strategic initiatives for robust, scalable backend infrastructure and microservices. You'll provide technical leadership and mentorship, while optimizing system performance, reliability, and scalability using tools like Docker, TypeScript, MongoDB, and generative AI technologies.

Help lead the architecture, development, and deployment of production-grade AI systems. Work with data science, product, engineering, and operations teams to design workflows that will enhance the experience of our members and internal users. If you’re a hands-on engineer with deep expertise in machine learning systems and a pragmatic approach to delivering value quickly in a startup environment, let’s talk!

We are seeking a passionate and skilled Machine Learning Engineer to join our forward-thinking team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive key business decisions and enhance our product offerings. You will work closely with data scientists, data engineers, and software developers to integrate machine learning solutions into our existing systems.

This position will play a key role in applying state-of-the-art machine learning and AI techniques to enhance automated accessibility testing, drive intelligent analysis of scan results, and develop algorithms that add value to our product suite. The ideal candidate would have experience deploying ML models in production environments, preferably in the domains of computer vision, and NLP.