• Own the end‑to‑end lifecycle (design, provisioning, upgrades, and decommissioning) of core platform components, including cloud infrastructure primitives, Kubernetes clusters, networking, ingress, service discovery, service mesh, and data‑plane components. • Design, build, and evolve a highly reliable and resilient containerized platform supporting critical workloads, applying SRE and cloud‑native best practices. • Lead the design and implementation of infrastructure bootstrap orchestration, enabling deterministic, repeatable platform bring‑up and teardown across cloud, network, and Kubernetes layers. • Drive a strong Infrastructure‑as‑Code and GitOps‑first approach, ensuring platform components are reproducible, auditable, automated, testable, and reversible. • Identify and close automation gaps, leading initiatives that significantly reduce manual effort, onboarding time, and operational risk at scale. • Apply and promote SRE principles such as fault isolation, graceful degradation, capacity planning, saturation control, and clear failure modes across the platform. • Continuously assess platform reliability risks and proactively improve stability, resilience, and operational readiness. • Act as a technical reference and escalation point for platform reliability, participating in on‑call rotations, incident response, post‑incident reviews, and problem management. • Improve platform operability by simplifying day‑2 operations, standardizing upgrade and rollback strategies, and reducing Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR). • Ensure platform operations align with security, compliance, and internal control requirements. • Collaborate closely with cross‑functional engineering teams, influencing technical decisions and promoting best practices through hands‑on contributions and technical leadership. • Contribute to architectural and technical discussions, supporting continuous improvement and long‑term platform evolution. • Stay up to date with emerging technologies, SRE practices, and cloud‑native patterns, sharing insights at squad and collective levels. • Be recognized for delivering high‑impact, high‑quality platform and reliability solutions across the organization.

• Promote continuous delivery, create guides and Golden Paths, and define versioning and security standards. • Lead hands-on workshops for integration and effective use of internal tools. • Configure CI/CD pipelines, develop provisioning code (Infrastructure as Code), automate deployments, and optimize containers. • Integrate tests and quality tools, implement security practices, and participate in audits. • Respond to cloud infrastructure incidents and requests; monitor applications and pipelines to ensure high availability. • Collect metrics, review projects for performance, security, and cost efficiency, and evaluate new practices and tools.

Mindrift is looking for skilled DevOps / Automation Engineers (Infrastructure & Scaling) to join the Tendem project (https://tendem.ai/) and build and maintain scalable infrastructure for automation workflows within our hybrid AI + human environment. In this role, as an AI Pilot – that’s how we refer to this position at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide infrastructure expertise, system reliability, and performance optimization to ensure stable and scalable automation pipelines. This part-time remote opportunity is ideal for professionals with hands-on experience in cloud infrastructure, system deployment, and supporting high-load automation environments. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a DevOps / Automation Engineer, you'll design, deploy, and maintain infrastructure supporting automation workflows, ensuring system stability, scalability, and high availability across environments. Key Responsibilities - Deploy and maintain self-hosted automation environments (e.g., n8n instances or similar systems). - Design and manage infrastructure to support high-volume workflows and large-scale data processing. - Scale automation systems to handle concurrent workloads and performance-intensive tasks. - Set up monitoring, logging, and alerting systems to track workflow performance and detect failures. - Implement alerts for critical events (e.g., node failures, performance drops, system instability). - Ensure system uptime, reliability, and fault tolerance across automation pipelines. Compensation On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Mindrift is looking for skilled DevOps / Automation Engineers (Infrastructure & Scaling) to join the Tendem project (https://tendem.ai/) and build and maintain scalable infrastructure for automation workflows within our hybrid AI + human environment. In this role, as an AI Pilot – that’s how we refer to this position at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide infrastructure expertise, system reliability, and performance optimization to ensure stable and scalable automation pipelines. This part-time remote opportunity is ideal for professionals with hands-on experience in cloud infrastructure, system deployment, and supporting high-load automation environments. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a DevOps / Automation Engineer, you'll design, deploy, and maintain infrastructure supporting automation workflows, ensuring system stability, scalability, and high availability across environments. Key Responsibilities - Deploy and maintain self-hosted automation environments (e.g., n8n instances or similar systems). - Design and manage infrastructure to support high-volume workflows and large-scale data processing. - Scale automation systems to handle concurrent workloads and performance-intensive tasks. - Set up monitoring, logging, and alerting systems to track workflow performance and detect failures. - Implement alerts for critical events (e.g., node failures, performance drops, system instability). - Ensure system uptime, reliability, and fault tolerance across automation pipelines. Compensation On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.