Remote Devops Jobs • GCP

We are looking for a Lead DevOps Engineer (Cloud Engineer) - L4 to drive visibility, efficiency, and savings across our multi-cloud infrastructure. You will lead efforts to measure and reduce CPO (Cost Per Operation), help map infrastructure cost to product usage and revenue, and work closely with engineering teams to optimise their cloud footprints across GCP, AWS and many more.

As a Senior Software Engineer focusing on Distributed Systems at Verse, you will work in collaboration with some of the brightest industry experts in the field building cloud-native applications that scale to trillions of data points collected from electricity markets globally. Your expertise will not only have a direct impact on product decisions, but you also be well-positioned to drive the development and trajectory of our entire platform and infrastructure and influence important architectural decisions that affect the whole organization.

You will play a pivotal part in designing, implementing, and maintaining our Internal Developer Platform, CI/CD pipelines, and Infrastructure as Code (IaC) solutions, all while ensuring the reliability, scalability, and performance of our cloud-based systems. By working closely with development, QA, and IT teams, you will drive improvements in our workflows, streamline the overall development lifecycle, and help us deliver high-quality, scalable solutions faster and more efficiently.

Train large-language models (LLMs) to write production-grade infrastructure and DevOps code. Help teach AI how to write, debug, and optimize infrastructure code like a top-tier DevOps engineer. Compare and rank Terraform or IaC code snippets, explaining which is more reliable, efficient, or scalable. Refactor or repair AI-generated infrastructure setups for correctness, security, and clarity.

As a Senior Cloud Platform Engineer, you'll be deep in Prolific's technical foundation, ensuring our infrastructure remains scalable, reliable, and ready for growth. You'll implement automation strategies that reduce complexity, champion best practices, and serve as a trusted technical expert to teams across Prolific.

Shape the future of AI with infrastructure. You’ll use your expertise in cloud platforms, CI/CD, and infrastructure automation to ensure scalable, secure, and efficient environments for building cutting-edge AI applications. Design and maintain cloud-based infrastructure (AWS, GCP, or Azure) for AI development pipelines.

Design, implement and maintain suitable infrastructure and applications on AWS public cloud environments using DevOps mindset. Bring world class cloud-native infrastructure & automation expertise to implement solutions for deployment, monitoring & remediation in an automated fashion.