As a Machine Learning Operations Engineer at Field AI, you will play a pivotal role in ensuring the scalability, efficiency, and reliability of our machine learning systems. You will manage and utilize data to optimize the performance of robots and drive innovation across industries, bridging the gap between machine learning models and production systems. This role offers the opportunity to work with cutting-edge technologies, solve complex problems, and contribute to the success of large-scale, real-time data systems.
Agile Six is looking for a DevOps Engineer to join a newly formed team to design and implement infrastructure-as-code, container orchestration, and deployment automations that power critical services, crafting cloud-native build, test, and release workflows that support goals for CI/CD automation, infrastructure, deployments, and security/compliance.
You will play a critical role in ensuring the seamless deployment, integration, and maintenance of software systems and services. You will be responsible for implementing zero-downtime deployment strategies, integrating various software components, and maintaining system stability for optimal performance. You will work closely with cross-functional teams, fostering a unified approach to software and infrastructure development.
We are seeking a DevOps Engineer with hands-on experience building, automating and operating large-scale systems. You will be part of an exceptional team of individuals spread across the globe, working on the most challenging technical problems in EdTech, helping to build systems, tools, and platforms on which Turnitin’s infrastructure and applications are deployed and operated.
You will be part of an exceptional team of individuals spread across the globe, working on the most challenging technical problems in EdTech, helping to build systems, tools, and platforms on which Turnitin’s infrastructure and applications are deployed and operated.
As a Senior DevOps Engineer, Delivery Loop, you’ll drive implementation and maintenance of Webflow’s build system, ensuring scalability, reliability, and performance. You will oversee the configuration and management of multiple development environments, providing guidance to ensure consistency across teams and environments. You will also define and enforce development processes and best practices to improve efficiency and quality throughout the software development lifecycle.
As a Senior DevOps Engineer, you'll play a high-impact role in modernizing and scaling the Degreed platform in an Azure environment. You'll lead key initiatives to improve reliability, performance, and developer experience. The ideal candidate thrives in solving infrastructure challenges and automating processes, and should be collaborative with developers to ship faster and safer.
Jitterbit is seeking a software build/install engineer to join their Platform team to build a SaaS offering that is reliable, stable, and scalable for their customers. The ideal candidate will be responsible for designing, implementing, and maintaining robust build and deployment systems to ensure efficient software delivery. You will play a key role in enabling development teams by automating processes, managing software installations, and ensuring the reliability of build pipelines.
We are looking for an enthusiastic, self-motivated backend engineer with Solana experience to help build the next generation of decentralized trading protocols on Solana. You will be responsible for improving our backend services while contributing to the design and implementation of new features, ensuring performant, reliable features for CoW Swap on Solana.
We are seeking a skilled Infrastructure Engineer / Site Reliability Engineer (SRE) to design, automate, and maintain reliable, scalable, and high-performing systems. The ideal candidate will have experience in GCP resource provisioning, Terraform-based infrastructure as code (IaC), CI/CD pipelines, and containerized deployments. This role will focus on ensuring uptime, performance, and automation of reliability tasks across production environments.