This page tracks remote devops engineer openings that are location-eligible for Indiana.
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TrueML is a fintech company building software to create positive experiences for consumers seeking financial health.
As a Senior DevOps Engineer, you will enhance our cloud-native infrastructure, manage IaC with Terraform, and optimize CI/CD processes, focusing on AWS and Kubernetes operations.
Striveworks helps organizations get the most out of their investment in artificial intelligence. Our proprietary technology allows organizations to rapidly build, launch, and maintain AI models—in hours, not months. Users can deploy them in one click and keep them working even when the world changes around them. Striveworks delivers trustworthy AI-powered analysis by creating models that “learn” and stay ahead of their environment at machine speed. We make artificial intelligence work—today and in the future. In 2023, Striveworks placed on the Deloitte Technology Fast 500 as one of the most rapidly growing technology companies in North America. In 2025, Striveworks was honored with a Built In Best Places to Work award—for the fourth year running.
As a Senior DevOps Engineer, you'll manage product deployments, automate infrastructure, and ensure software reliability while collaborating cross-functionally and responding to incident reports.
Transforming Pathology using Tailored Workflows and Artificial Intelligence
The Senior DevOps Engineer will enhance Deciphex's cloud infrastructure, manage Kubernetes environments, oversee CI/CD pipelines, and implement security measures.
Moonlite is building a cloud-native experience on-prem. Our software provides the control and customization enterprises need for AI. Build Faster with Moonlite Instantly download and deploy NIMS from NVIDIA or build your own applications with Hugging Face. Customize and deploy AI agents in one click or integrate your own with ease. Total Control Over Your AI Obtain the highest level of security by design for your private environments. Moonlite provides total visibility into all your resources, applications, and users. Find Value with Your Use Case Allocate resources in real-time as needed in your environment. Use the models that best align with your use cases. When a new model is released, test it out and power your applications with it.
Build and operate production-grade AI infrastructure using Kubernetes, ensuring high availability, reliability, and performance. Develop custom operators and implement automation for efficient operations and monitoring.
Kubernetes, Terraform, AWS, Python, Argocd, Github Actions
