Senior DevOps / SRE Engineer Location: Based in US to GMT timezones Remote | Full-time Compensation: $120K - $150K A confidential client operating at the intersection of decentralized finance and artificial intelligence is seeking a Senior DevOps / SRE Engineer. Our client develops sophisticated infrastructure for autonomous AI trading agents on the Hyperliquid network. This role is critical to the organization’s mission: managing high-stakes environments where infrastructure reliability directly impacts capital protection. The successful candidate will own the architecture that keeps dozens of concurrent AI agents alive, fast, and secure. Unlike traditional web applications where downtime results in a 404 error, downtime in this environment means open financial positions are left unprotected. This is a high-impact position designed for an engineer who thrives on building resilient, zero-downtime systems for autonomous agents managing real-time financial workloads. Key Responsibilities - Agent Infrastructure Management: Build and maintain the infrastructure for concurrent AI trading agents, managing complex cron schedules, state files, and trailing stop processes. - Deployment & Orchestration: Deploy and manage agent environments, including workspace persistence, isolated session management, and Model Context Protocol (MCP) server connectivity. - CI/CD Pipeline Development: Design and operate pipelines for shipping trading skills and plugins to production without interrupting live trading activity. - Zero-Downtime Operations: Execute deployment strategies (blue/green, canary) ensuring active financial positions remain protected during every infrastructure change. - Observability & Monitoring: Build comprehensive alerting across the full stack using metrics, logs, and traces to detect agent failures, state file corruption, or infrastructure regressions before financial loss occurs. - Cloud & Database Scaling: Operate and scale core platform infrastructure, including Kubernetes (EKS) clusters, Redis, Postgres, ClickHouse, and Kafka. - Blockchain Reliability: Maintain blockchain node infrastructure and ensure stable connectivity to exchange APIs and on-chain transaction systems. - Incident Leadership: Lead incident response and on-call practices, including debugging, mitigation, and post-mortems to improve long-term platform reliability. Interview Process The interview process is designed to evaluate both technical depth and the ability to handle high-pressure production scenarios. - Initial Technical Screening: A conversation focused on previous experience building and scaling infrastructure from scratch. - Deep-Dive Technical Assessment: An evaluation of Kubernetes, IaC, and observability skills, often involving a real-world architectural challenge. - Systems & Reliability Interview: A session focused on incident response, zero-downtime deployments, and the specific nuances of trading infrastructure. - Final Leadership/Culture Fit: Meeting with key stakeholders to discuss the long-term vision of the AI agent platform.

This role is for one of the Weekday's clients Min Experience: 10 years Location: Poland, Remote (poland) JobType: full-time We are seeking a highly experienced and driven Site Leader with a strong background in Site Reliability Engineering (SRE) and Infrastructure to lead and scale our engineering operations. This role is ideal for a seasoned Engineering Manager who thrives at the intersection of leadership, system reliability, and large-scale infrastructure management. As a Site Leader, you will be responsible for building resilient systems, managing high-performing teams, and ensuring the availability, scalability, and performance of mission-critical platforms.

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• Extend the integration of OpenNebula with Kubernetes • Develop and maintain Terraform modules for provisioning and managing virtualized infrastructures. • Design the automated deployment of virtualized infrastructures combining Terraform, Ansible and OpenNebula APIs. • Integrate OpenNebula with different cloud public cloud providers. • Understand and address the limitations and peculiarities of the networking and storage models of different cloud providers. • Test-driven development of large solutions integrating and extending open source products, and using Git based workflows to develop new features in the project repositories. • Writing and maintaining software documentation • Working with user use cases to test, debug, and troubleshoot software, assuring quality and functionality • Working with other companies in the cloud-edge ecosystem within international projects and open-source communities. • Availability to occasional travel and participation in international events and meetings • Working with the integration and deployment teams in support and issue troubleshooting and triage, the use cases and solutions team in discovery and demo sessions, and the community team in contributions to the open-source community.