Remote Software engineering Jobs • Docker

You'll build the foundations that power Zowie's AI Agents at scale, designing systems for reliability, performance, and change. As an AI-native engineering org, you're expected to use modern AI tools in daily work to explore designs, scaffold code, generate tests, and document decisions, while holding the line on solid engineering.

We are looking for a Senior Developer to take a leading role in building scalable, high-performance web applications at Ruby Labs. This is a hands-on position that combines technical leadership, architectural design, and full-stack development. You’ll work closely with cross-functional teams — product, design, and marketing — to create seamless user experiences across our portfolio of digital products.

Ship exciting new game-like mechanics and AI integrations to live production systems used by top esports teams and gaming brands to engage with their fans. You'll need to integrate web2 and web3, plus optimize performance and fix bugs quickly when they appear. Own features end-to-end from implementation to full production monitoring.

Work with a team dedicated to creating engaging experiences for users of our digital products, reporting to team leaders for guidance in priorities. Key responsibilities include interpreting business requirements, collaborating to resolve product defects, developing web applications, and maintaining software systems.

We are looking for an experienced Senior ML Engineer who is eager to build the tooling and services necessary to deliver ML and generative AI based products that make a significant impact within the organization. The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members.

We're seeking a highly skilled Java Developer to join our dynamic development team, responsible for developing, maintaining, and optimizing enterprise-level applications while working with technologies such as JPA, Maven, Docker/Podman, and Linux networking.

As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large-scale language model applications on top of it. You’ll operate at the intersection of high-performance computing, distributed systems, and cutting-edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale.

As a Go Engineer II you will help design, build, and maintain distributed backend systems serving passionate sports fans. You will join the Fantaasy team, a cross-functional group of engineers and product managers delivering scalable, reliable, and low-latency solutions that power applications across mobile and desktop. The role involves backend development, an eagerness to learn from senior engineers, and a passion for writing clean, maintainable code.

As an ML Engineer, you’ll be provided with all opportunities for development and growth. Comfortable with standard ML algorithms and underlying math, and possess strong hands-on experience with LLMs in production, RAG architecture, and agentic systems. Let's work together to build a better future for everyone!

As part of a cross-functional team, you will contribute to the integration of AI-enabled features such as developing natural language interfaces over structured databases, integrating semantic search, and building agentic pipelines that enhance cryptographic analysis. Our products operate across the spectrum of data engineering, applied AI, and cybersecurity, addressing complex challenges such as large-scale security processing and offering contextual intelligence to our customers.