Shape and innovate secure and scalable cloud infrastructure in Google Cloud Platform (GCP). Enforce security best practices for cloud-based applications and integrate HashiCorp Vault and Kubernetes into cloud workflows. Troubleshoot, and optimize cloud environments.

You will manage the operations and uptime of large-scale platforms. You will lead a team of SRE experts in delivering solutions to the real-time problems our mission-critical cloud native services encounter. You'll mentor and grow junior engineers in an environment where you use your passion, experience, and analytical skills to help bring new solutions to public safety.

Drive Technology & Best Practices in Engineering, responsible for Scaling, Performance, Availability (99.99%) & Quality of products. Participate in development with teams, creating exemplary modules & systems that demonstrate best practices. Provide strong technology leadership and mentoring through code reviews, design reviews and architecture discussions.

Join our team as a DevOps Engineer to manage cloud infrastructure, automate workflows, and ensure system reliability. The ideal candidate should have strong experience with AWS and Kubernetes (K8s), along with a proactive mindset for maintaining and optimizing infrastructure performance. Responsibilities include designing and implementing containerized eCommerce applications with elastic scalability and implementing CI/CD pipelines.

As a Customer Engineer, you will own the technical relationship with customers, interfacing with the MinIO engineering and support team. The role involves assuring a world-class experience to customers, improving technical enablement, and strategizing for successful onboarding and production.

Act as a trusted advisor to clients, providing technical expertise and guidance. Conduct PoCs, workshops, and presentations on GPU cloud technologies. Collaborate with clients to understand their business requirements and develop solution architectures. Design and document Infrastructure as Code solutions and help customers optimize pipeline performance.

Looking for an experienced Machine Learning Operations Engineer to work with one of our US clients to build and maintain robust machine-learning pipelines. This role requires a strong knowledge of AWS and the skills to migrate, integrate, and optimize those systems. The ideal candidate will help automate the end-to-end ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring.

Contribute to high impact AWS cloud infrastructure initiatives to improve the performance, reliability, and cost efficiency of Patreon’s rapidly growing platform. Participate in operability and production readiness reviews to ensure the scalability, resiliency, and operability of new and existing product features. Advocate and implement Site Reliability Engineering practices. Enhance the feature set of our new kubernetes developer platform.

As a Site Reliability Engineer at OnePay, you will ensure the availability and reliability of our most critical services, and ensure that they meet the requirements of our customers. You will help establish the team, processes, and best practices, collaborating with other teams to build and run sustainable production systems.

Designs and builds tools and platforms to deliver a best in class developer experience for multiple development teams. Drives development of existing DevOps platforms and contribute to development of new DevOps platforms by analyzing and identifying areas for modification and improvement. Develop platforms that is fast, secure and reliable to meet defined requirements.