DevOps Engineer role is part of a highly skilled IT Department consisting of 9 dedicated professionals. The team works collaboratively to maintain and enhance the company’s IT infrastructure, ensuring system stability, scalability, and efficiency. As a key member of the team, DevOps Engineer focuses on supporting seamless operational processes, automating workflows, and resolving incidents to maintain uninterrupted system performance.
Architect and implement full-stack solutions for both internal platforms and customer-facing products. Design and scale backend services that enable robust ML model deployment and build deployment infrastructure that runs seamlessly across cloud and on-premise environments. Develop interfaces that make complex ML systems accessible and usable, establish workflows that accelerate ML research-to-deployment cycles, and collaborate closely with Product and ML teams to iterate quickly and effectively.
Proton is seeking a DevOps Engineer to join our fast-growing SaaS team! As a pivotal part of our startup's growth, you'll directly lead projects, navigate scaling challenges, and balance immediate needs with long-term gains. Reporting to the Infrastructure Manager, you will design, implement, and manage complex infrastructure and web application environments.
The Senior MLOps Engineer will design, build, and scale the systems that power CivCheck and Clariti’s AI capabilities. As the first MLOps Engineer, you will lead the development of robust ML infrastructure, ensuring that models move efficiently from research to production with reliability, observability, and performance at scale. This role is ideal for someone who thrives at the intersection of machine learning, software engineering, and cloud infrastructure.
As an Automation Developer with expertise in UIPath and Agentic AI skills, you will be responsible for designing, developing, and implementing automated processes using UIPath and advanced AI capabilities to enhance business operations. You will work closely with various stakeholders to analyze business requirements and translate them into effective, autonomous, automated workflows.
This role is part of our Central Platform Engineering Team at saas.group and blends architecture, enablement, and practical engineering. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. You’ll own outcomes for a set of brands: assess where they are, recommend what “good” looks like, and implement the plan.
We are seeking a skilled and detail-oriented DataOps Engineer to design, build, and maintain automated data pipelines and cloud-based data platforms that support enterprise-scale web, mobile, and AI-driven applications. The DataOps Engineer will be responsible for ensuring the reliability, performance, and scalability of data operations — enabling smooth integration between systems, analytics, and applications.
Manage cloud infrastructure including configuration, backups, scaling, costing. Configure and manage orchestration and containerization tools such as Kubernetes, Helm, Terraform and GitOps tools. Roll out fixes and upgrades to the software. Develop and maintain automated build, deployment, and testing processes using Jenkins and GitOps tools. Ensure high availability and disaster recovery capabilities for critical systems.
Architect, build, document, and implement Cloud standards and processes across Experian Business Units within AWS. Create new Terraform architecture and modules to provision AWS resources. Create, manage, and administrate Kubernetes running on EKS. Work with Software Development teams to write and tune their application Helm charts for EKS.
Collaborate with information security, DevOps and engineering teams to identify Platform needs and issues with respect to security. Collaborate with key third-party security partners to ensure that security controls adhere to defined policies and mitigate risks. Ability to manage projects as a technical lead to ensure project initiatives are completed on time and in scope. Daily operational security controls and monitoring. Author Agile stories, estimate story points, assist with sprint planning and retrospectives. Perform advanced security technical troubleshooting for cloud and e-commerce environments. Participate in incident response exercises and continue documenting security and incident response procedures.