We are looking for a MLOps Engineer with an ownership mindset, a focus on automation, and a passion for building robust and scalable solutions. You will design and implement ML pipelines and automated deployment systems. You will collaborate with Data Science to accelerate experimentation and model production.
AMERICAN SYSTEMS is looking for a proactive DevSecOps Engineer specializing in Gitlab for an on-prem SaaS platform. You will be instrumental in designing and maintaining CI/CD pipelines, supporting new feature rollouts and patch updates, and optimizing GitLab core images across various environments.
Use your experience to develop, maintain and implement Kubernetes clusters at scale that are ready for heavy/spiky ML workloads. Work closely with Data Science and Data Engineering teams to implement, optimize and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages. Help Data Science and Data Engineering develop and implement specialized infrastructure to deliver tools/software to improve the reliability and scalability of services.
Be crucial in developing and maintaining infrastructure, platforms, and developer tools, including CI/CD pipelines, cloud infrastructure, and observability tools, to enable efficient development and scaling. Also support web (Java, React, PostgreSQL) and mobile (React Native) applications, standardizing AWS deployments and CI/CD practices. Build security, metrics, logging, and deployment tooling to ensure system reliability and scalability.
Play a crucial role in managing and improving our infrastructure and deployment process, ensuring scalability, security, and reliability. Work closely with development teams to automate and streamline processes and deploy new solutions. A proactive problem solver with a deep understanding of cloud environments and infrastructure automation is desired.
Support a world-class service to provide Tebra’s customers with an always-on, state-of-the-art, automated SaaS environment. Develop and improve deployment processes using container technologies. Architect, deploy, and manage innovative modern cloud technologies using infrastructure-as-code, self-healing, and security automation patterns.
The Staff Cloud Engineer solves technical problems for the Cloud Operations, Engineering & Data teams partnering with teammates across the company leading the transformation of business problems into technical solutions. They are responsible for implementing and maintaining our continuous delivery framework with effective tools and processes to develop, build and deploy products for our customers.
As part of the Platform Engineering department, the SRE team is designing, building, scaling and maturing the multi-cloud platform for hosting internal and external services such as the Elastic Cloud Hosted and Serverless . You will develop and extend new software and tools that support the rest of the infrastructure, so that we can rapidly deploy products from all corners of Elastic.
Cargomatic is searching for a DevOps engineer with 2-3 years of experience. This role involves building and optimizing development tools and infrastructure, automating processes, and ensuring system security. The engineer will collaborate with software developers to maintain seamless workflows and ensure adherence of established processes.
StackBlitz is hiring Senior DevOps Engineers to join our growing DevOps team. This multidisciplinary role blends DevOps, SRE, and Infrastructure Operations to help improve system reliability, developer velocity, and overall engineering productivity. You'll work closely with application teams to improve observability, lead incident response, optimize CI/CD pipelines, and support key operational needs across the engineering lifecycle.