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.

Drive the evolution of Enable’s cloud-native platform, ensuring scalability, reliability, and efficiency across all aspects of our SaaS infrastructure. Focus on architecting and optimizing our platform for high-performance distributed systems while also enabling machine learning (MLOps) capabilities for AI-driven applications. Collaborate across teams to develop best-in-class platform solutions that support product engineering, data engineering, and AI/ML teams.

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.

Responsible for leading the teams that manage and support all of our hosting services, including colocated hardware and cloud-based services, as well as defining and operating the processes for change management, financial management and incident response.

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.

Be a technical leader and owner of Platform and Infrastructure Team, working through ambiguity, concept validation and implementing a best-in-class solution. Identify areas of improvement and drive foundation opportunities for the whole organization to improve Newfront’s infrastructure and overall engineering practice.

You will have true ownership as we build out the product as a Site Reliability Engineer. This is a unique opportunity to use your engineering powers to make a direct impact in people's lives. You'll work with other engineers to reliably release and maintain services, and help define and meet internal and customer-facing SLA's and SLO's.

In this role, you will be responsible for driving the execution of crucial infrastructure and platform initiatives related to AI/ML pipelines designed for efficient and scalable model Training, & Inference, building and developing tools, automation of redundant tasks, and CI/CD systems.

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.