21 results
FiltersBuild the evolution of Vultr’s global cloud networking platform. Drive implementation of scalable, reliable, and secure network services including VPC, edge connectivity, and security features. This is a cross-functional, hands-on role building the networking foundation of Vultr's infrastructure.
Own the deployment, configuration, and ongoing management of Bobsled’s AI data agents for enterprise customers, acting as the primary technical point of contact for a small book of accounts. Rapidly develop subject matter expertise in each customer’s data layer, context layer, and operational workflows.
Enable internal teams to design, build, and scale AI-powered automations with n8n that reduce manual work, surface the right data at the right time, and unlock new LLM-driven capabilities. Design, implement, and maintain n8n workflows combining APIs, data stores, and LLM capabilities. Share patterns, templates, and best practices for “how n8n uses n8n” across teams. Capture product gaps and collaborate with Product and Engineering to shape the roadmap.
Design, implement, and maintain robust, containerized, and reproducible pipelines for model training, evaluation, and deployment—across both batch and real-time settings. Build and manage ML services, APIs, and model serving infrastructure using tools like MLflow, Amazon SageMaker, and Feature Store. You will set up and maintain monitoring, observability, and alerting systems to ensure high availability and performance, and continuously evaluate emerging MLOps technologies to improve efficiency, scalability, and reliability.
As a Data Operations Engineer, you’ll play a critical role within the Enterprise Data function, part of the R&D organisation at StarCompliance. You’ll be responsible for the delivery, maintenance, and evolution of the data feed infrastructure that underpins the Star platform, ensuring that clients and brokers can exchange data securely, accurately, and efficiently.
Join the Development Tooling team to help maximize the efficiency and productivity of GitLab engineers. You'll be crucial in building and maintaining the foundational internal tools, frameworks, and infrastructure abstractions that empower all product developers to write, test, and ship reliable code faster. This role is ideal for a hands-on engineer who thrives on solving other engineers' pain points, enjoys working across different technology stacks, and has a passion for improving the software development lifecycle (SDLC).
Yassir is seeking a highly skilled and motivated MLOps Engineer to join our Artificial Intelligence (AI) team and drive our ML Operations in application deployment and infrastructure development enabling the training, deployment, experimentation, monitoring and altogether management of our ML applications and their artefacts, at scale and at speed. As an MLOps Engineer, you will play a crucial role in making Yassir’s products and operations more AI driven, through the use of modern technologies.
As a Senior Software Engineer on our Central Tech Infrastructure team, you will work on distributed build systems, bug processing pipelines, and automated testing services. You will be part of our Central Tech team, working closely with our game teams to improve their workflows and deliver content to players. With mentorship from our experts, you will continue to learn to tackle the unique challenges of continuously delivering live service games to our dedicated players.
Enhance the reliability and performance of our Brokerage-as-a-Service platform during critical 7/24 operations in this Site Reliability Engineer 2 role. This role demands a proactive approach to managing technical challenges and system optimizations that align with global operational strategies. Support the SRE team in developing and implementing enhancements to support workflows, focusing on automation and efficiency improvements. Handle technical escalations and troubleshoot complex issues.
Drive the technical direction of the data and AI training infrastructure team, shaping the vision and architecture of the AI research platform. You'll enhance and scale the infrastructure to dramatically improve training velocity and research outcomes. As a technical lead, bring expertise in AI infrastructure and software engineering best practices to develop scalable systems and optimize workflows.