Senior IT Field Engineer

Elios Talent is seeking a Senior IT Field Engineer to design, deploy, and support advanced technology systems powering intelligent workflows. This role focuses on delivering reliable, scalable solutions in real-world environments, with responsibilities including deploying IT systems, designing architectures, and collaborating with engineering teams.

Responsibilities:

• Deploy, configure, and support advanced IT systems, including AI-enabled platforms and distributed applications
• Design and implement system architectures that support scalable, high-performance workflows
• Build and support integrations across platforms, ensuring reliability and seamless data flow
• Assist in developing and maintaining AI-driven workflows, including orchestration layers and automation systems
• Support implementation of end-to-end data pipelines, including retrieval systems and performance optimization
• Establish monitoring, logging, and alerting to ensure system performance, uptime, and reliability
• Troubleshoot complex system, network, and application issues across environments
• Manage deployments in containerized environments (Docker, Kubernetes)
• Collaborate with engineering, data, and product teams to support system integrations and enhancements
• Ensure systems meet security, compliance, and operational best practices

Requirements:

• 6+ years of experience in IT engineering, systems engineering, or infrastructure-focused roles
• Experience supporting and deploying complex, distributed systems in production environments
• Exposure to AI/LLM-powered systems or modern automation platforms
• Strong troubleshooting skills across infrastructure, applications, and integrations
• Experience working in cloud environments and containerized systems
• Ability to mentor junior engineers and establish operational best practices
• Strong experience with Python or scripting for automation
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with system integrations, APIs, and backend services
• Understanding of data pipelines, vector databases, or search systems
• Experience with monitoring and observability tools
• Knowledge of networking, system architecture, and infrastructure design
• Strong problem-solving mindset with a focus on reliability and performance
• Ability to operate in fast-paced, evolving technical environments
• Comfortable working across infrastructure, systems, and application layers
• Strong communication and documentation skills
• Ownership mentality with a focus on execution and outcomes
• Exposure to AI frameworks (LangChain, LangGraph) or similar
• Exposure to AI-driven workflows or automation systems
• Familiarity with LLM-powered tools or agent-based systems
• Understanding of system reliability considerations in non-deterministic environments