The Senior Platform/DevOps Engineer will support a biotechnology and agricultural company, driving its platform’s efficiency, scalability, and security by leveraging expertise with K8S, EKS, helm charts, Python, and YAML-based configuration to enhance and maintain existing platform operations, design, develop, and maintain existing infrastructure using Terraform and AWS resources etc.

PayPay is seeking a Cloud Platform Engineer to engineer Cloud Infrastructure Platforms for PayPay's Cloud Based payment system, providing robust and reliable platforms. Responsibilities include architecting scalable infrastructure, ensuring security, automating AWS deployments, and facilitating developer resource deployment.

Play a key role in helping design and build the infrastructure of the systems that run our products and business. If you want to have a hand in influencing the overall architecture, tools, and services of our platform with a collaborative team then this role is for you.

Serve as the technical authority for Windows and Linux operating systems hosted on AWS virtual machines, with a focus on advanced cloud architecture, security, and automation. Architect scalable solutions, oversee OS patching and AWS strategies and resolve complex incidents. Drive performance optimization and implement cutting-edge security measures.

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.

We are looking for a Senior Cloud Engineer, ML Platform to lead the next phase of scaling our cloud-based machine learning (ML) and computer vision (CV) systems. This role is instrumental in moving beyond batch processing and toward real-time, high-throughput ML infrastructure supporting multi-model systems.

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 Platform Engineer on the Product Team, you will maintain and scale the infrastructure, improve developer productivity and work closely with software engineers to ensure system reliability, performance, and security; designing and implementing infrastructure solutions, automating workflows, optimizing cloud environments, and building tools and systems that streamline development and deployment processes across engineering teams.

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.

Manage and improve infrastructure and deployment process, ensuring scalability, security, and reliability. Work closely with development teams to automate and streamline processes and deploy new solutions. Be a proactive problem solver with a deep understanding of cloud environments and infrastructure automation.