Remote Devops Jobs · US

Job listings

Assist in developing and maintaining configuration baselines for applications, services, and infrastructure. Document configuration details, attribute changes, and environment-specific differences. Support the creation and maintenance of version labels, release identifiers, and code promotion records. Conduct environment diffs to identify configuration drift or unexpected discrepancies. Integrate configuration processes with CI/CD pipelines to ensure accurate and automated baseline application.

$100,000–$140,000/yr

You'll help build Cytora’s Underwriting Productivity Suite, a serverless web application increasing underwriter efficiency and effectiveness. Join the platform team, managing infrastructure, monitoring systems, and CI/CD pipelines across Europe, the US, and Australia on AWS and GCP. This role needs good intuition on the level of complexity our systems need and requires someone customer-centric, values-driven, and collaborative.

Lead and support a wide range of automation projects focused on process optimization, intelligent automation, and scalable data solutions. Design and implement rule-based and intelligent automation workflows using tools such as Alteryx, Python, and optionally Make or n8n. Contribute to the evolution of automation maturity from rules-based logic to intelligent automation and AI agent frameworks. Build and nurture strong client relationships.

$144,000–$176,750/yr

The Manager of Cloud Engineering will oversee the Cloud Operations Team, which is responsible for the deployment, monitoring, and maintenance of production infrastructures for customers. You will work closely with cross-functional teams to ensure the delivery of high-quality products to our customers that meet their needs. You will also be responsible for driving initiatives to improve the onboarding process for new customers.

$170,000–$200,000/yr

This role designs and delivers the CI/CD pipelines, cloud infrastructure, secrets management, observability, and security controls that power LangChain/LangGraph/LLM agents, microservices, and data/AI workflows deployed across AWS and Azure. You’ll collaborate closely with engineering, data/AI, and product teams in both development and incident response, championing a culture of security, operational excellence, and continuous improvement.

Help architect the future platform Elligint Health will run on, design and execute its implementation. Develop and maintain IaC code to create production, test, stage and dev environments in our cloud environment. Monitor, Troubleshoot and resolve production issues as they arise. Update Configuration management code to maintain consistency across our accounts.

Lead DevOps initiatives and drive innovative automation and cloud-native solutions to enhance system efficiency, reliability, and scalability. Collaborate daily within a fast-paced Agile DevOps team and actively participate in all phases of the Agile methodology. Implement Infrastructure as Code (IaC) using Terraform/Ansible across AWS services.

As a Senior DevOps Engineer you will help drive and strengthen our DevOps practices across the organization. Architect reliable systems, solve complex infrastructure challenges, automating anything that can be automated, and building resilient pipelines that empower our teams to ship quickly and safely. Responsibilities include designing, building, and maintaining a fully codified AWS environment using Terraform with zero manual changes.

The Cloud Infrastructure team builds and maintains the platforms and abstractions that let 1mind ship quickly, securely, and at scale. You’ll design and operate development and production platforms that underpin multimodal, low-latency AI experiences. We own the reliability of what we build, including participating in an on-call rotation for critical incidents.

Own the deployment, configuration, and ongoing management of Bobsled’s AI data agents for enterprise customers, acting as the primary technical point of contact for a small book of accounts. Rapidly develop subject matter expertise in each customer’s data layer, context layer, and operational workflows.