Site Reliability Engineering Architect; SRE Architect

Overview

Title: Site Reliability Engineering Architect
Location: Fully Remote, EST Hours
Duration: W2 Contract, 12-months
Work Requirements: US Citizen or GC Holders

The Site Reliability Engineering Architect is a senior technical leader responsible for designing and evolving automation-first, AI-augmented reliability platforms for large-scale cloud environments. This role owns the architecture that enables systems to detect, decide, and act with minimal human intervention. The Architect defines how automation, intelligent systems, and engineers interact in production, ensuring reliability scales without proportional growth in operational effort.

This role sets technical direction, establishes standards, and delivers platforms that reduce toil while improving resilience and delivery velocity. Hybrid or remote flexibility available.

• Design reliability architectures that prioritize automation and intelligent decision-making over manual processes. Define patterns for fault isolation, graceful degradation, and recovery that assume automated and AI-assisted execution. Ensure reliability, security, and governance requirements are embedded directly into operational systems and workflows. Establish architectural standards that reduce complexity, human dependency, and operational risk.
• Architect event-driven automation platforms that span detection, decisioning, and execution. Design and implement workflow orchestration systems capable of handling both low-risk autonomous actions and higher-risk human-approved operations. Replace ticket-driven and static runbook processes with executable, testable automation. Standardize automation patterns across incident response, change execution, and platform operations. Ensure automation systems are resilient, observable, and auditable.
• Design and own internal AI-driven operational platforms that act as a centralized interface for reliability and automation workflows. Build systems that allow intelligent components to retrieve operational context, reason over signals, and invoke controlled actions across infrastructure and services. Establish architectures for agent coordination, capability discovery, and safe execution in production environments. Define guardrails, approval paths, observability, and auditability for AI-initiated actions.
  
  Integrate AI-driven decisioning directly into operational workflows rather than treating it as an external enhancement.
• Architect observability systems that feed automation and intelligent decision-making rather than static dashboards. Design signal pipelines that correlate metrics, logs, traces, and events into actionable context. Reduce alert fatigue through context-aware, noise-resistant detection and prioritization. Ensure every operational signal has a defined automated or AI-assisted response path. Drive continuous improvement through trend analysis and systemic remediation.
• Define governance-backed use of enterprise low-code automation platforms to accelerate operational workflows. Enable secure, scalable automation for approvals, communications, enrichment, and orchestration while preventing platform sprawl. Establish clear boundaries between low-code automation and code-first systems. Integrate enterprise automation tools with cloud-native automation and AI-driven operational platforms.
• Serve as the architectural authority for reliability, automation, and AI-driven operations. Mentor senior engineers and raise organizational maturity in automation and intelligent systems. Partner with engineering, security, and compliance teams to deliver safe, scalable operational platforms. Own reference architectures, operational standards, and long-term technical direction. Challenge designs that increase operational risk, toil, or manual dependency.

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, Dev Ops, or Infrastructure Engineering supporting complex distributed systems. Proven experience designing and operating automation-heavy or autonomous operational platforms. Strong programming and automation skills using modern languages and frameworks. Hands-on experience with workflow orchestration and event-driven systems. Practical experience integrating AI or intelligent decision systems into production operations. Deep understanding of failure modes, blast radius management, and risk-aware automation.

• Experience designing or implementing agent-based or AI-assisted operational systems. Familiarity with modern AI platforms and model integration for operational use cases. Experience with control-plane architectures for automation and intelligent systems. Enterprise automation and governance experience. Knowledge of cost-aware reliability design, Fin Ops principles, and zero-trust security models. Relevant cloud or platform certifications.

• Reduction in manual operational toil and human intervention. Increased adoption of automated and AI-assisted…