Play a key role in shaping the future of our global infrastructure, overseeing a global infrastructure of ~10,000 on-prem servers, you’ll tackle unique technical challenges, engineer scalable systems, and have a direct impact on the reliability and performance of our products. Build Reliable Infrastructure, Automate Everything, Ensure Observability, Solve Complex Issues, and Collaborate & Innovate.
Join a growing team as a Senior AWS Developer. The ideal candidate will have extensive experience designing, developing, and managing cloud-based solutions on Amazon Web Services (AWS). This role demands hands-on experience with AWS AI/ML services, strong programming skills, and a solid understanding of cloud infrastructure and security best practices.
Play a key role in building our Developer Experience team and owning critical infrastructure and services that support engineering across the organization. Define best practices, shape internal guidelines, and lead efforts to improve developer workflows, tooling, and system reliability. This role involves mentoring engineers, conducting code reviews, and delivering high-impact projects that power our core systems and services—ultimately enabling faster, safer, and more scalable product development.
Implementation and maintenance of scalable solutions following DevOps best practices in a leading Gaming industry company. Process automation using Terraform or AWS CloudFormation, enabling creation and management of AWS infrastructure and applications in an internal on-prem cluster. Building and maintaining CI/CD pipelines, automation of tests, deployments, and rollback strategies.
As a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, and you will collaborate with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will also extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs.
Be part of a dynamic team that is shaping the future of energy and technology. Build and maintain backend systems and data pipelines for AI-based software platforms, integrating SQL/NoSQL databases and collaborating with engineering teams to enhance performance. Design, deploy, and optimize cloud infrastructure on Google Cloud Platform, including Kubernetes clusters, virtual machines, and cost-effective scalable architecture.
As a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, collaborating with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs. You will ensure that training environments are optimally available and efficiently managed across multiple clusters, enhancing our containerization and orchestration systems with advanced tools like Docker and Kubernetes.
Play a crucial role in managing and scaling our cloud-based systems. The ideal candidate will have a strong background in cloud infrastructure, automation, and continuous delivery. You will be responsible for ensuring the reliability, performance, and security of our cloud environments, with a particular focus on AWS .
As a key contributor, you will design and support resilient systems, prioritizing high performance, availability, and throughput, with a focus on minimizing service disruptions, downtime, and latency. You’ll work with engineering teams ranging from product development, developer experience, and backend infrastructure to collaboratively build Thumbtack’s ecosystem of platform services that have the right impact at the right time.
As a Senior Infrastructure Engineer, you'll drive the technological advancement of our Infrastructure Platform within Raya. Leveraging best-in-class cloud technologies and container orchestration, your work will be central to delivering a reliable, secure, and scalable foundation that our product teams depend on daily. You can design infrastructure that maximizes application efficiency and resource utilization. You're enthusiastic about leveraging AI to enhance your own infrastructure workflows.