The Platform Engineer will join the Veeam Data Cloud team to provide a secure, reliable, and easy-to-use platform. The mission is to enable the teams to build, test, deploy, and monitor the VDC product by writing and maintaining code to automate the public cloud infrastructure, software delivery pipeline, and other enablement tools.

As our first Machine Learning Engineer focusing on MLOps, you will play a pivotal role in operationalizing our ML models, ensuring they are scalable, reliable, and easy to monitor. You’ll work closely with our data scientists, server engineers, and infrastructure teams to build feature stores for model development and enhance model deployment.

As a Demo Engineer at Atlan, you will create, maintain, and optimise our demo environments to provide seamless and impactful demonstrations of Atlan’s platform. Manage demo environments, create sandbox environments and automate asset creation. Collaborate with Sales, Marketing, and Product teams and troubleshoot issues to minimise downtime and ensure seamless presentations.

As Cloud Operations Engineer II, you'll work alongside a global team, supporting and implementing new features for Incentive Compensation Management products while ensuring service quality through incident management, and will contribute to the technical work on the services supporting Incentive Compensation Management products.

Take end to end ownership of multiple enterprise connectors by designing and implementing high-level architecture for them, develop source-specific packages for crawling, mining, and migrating metadata from diverse data sources, and lead Engineering Excellence for the business unit. Guide and mentor junior engineers.

Work closely with the Platform Engineering team to design and implement infrastructure solutions for scalable applications. Develop Infrastructure as Code (IaC) solutions using tools like Terraform, AWS CloudFormation, or Pulumi. Assist in automating workflows, CI/CD pipelines, and system monitoring.

Lead infrastructure engineering by overseeing architecture, security, and development of scalable and secure infrastructure for internal engineering teams. Partner with engineering teams to analyze their infrastructure needs and develop tailored, intrusion-resistant solutions. Improve observability of infrastructure to ensure high reliability and performance. Position includes a telecommuting benefit from anywhere in the United States.

Join Coactive AI as a DevOps Engineer. Design, build, and maintain scalable infrastructure on cloud platforms like AWS, GCP, and Azure. Develop and optimize CI/CD pipelines, manage real-time data workflows, implement monitoring solutions, and automate infrastructure using tools like Terraform and Kubernetes.

Seeking a skilled and proactive Product SRE (Site Reliability Engineer) to join our team and take ownership of debugging, troubleshooting, and resolving production escalations in a complex SaaS environment. The ideal candidate will have a deep understanding of AWS and Azure cloud platforms, application performance, and operational excellence, with a passion for automation and continuous improvement.

Assume responsibility for the migration of our applications - from the local Docker setup to a scalable solution for testing, staging and production, closely collaborate with our software development and test management teams to establish a strong DevOps mindset, support the automation of the entire software lifecycle process.