Kellton Tech is a full-service software development company, offering end-to-end IT solutions, strategic technology consulting and product development services in Web, SMAC (Social, Mobile, Analytics, Cloud), ERP-BPM, and IoT space Our methodology of inventing infinite possibilities with technology helps us develop best in-class and cost effective solutions for our clients.
Currently Kellton Tech is looking for talented resources for one of our listed client. Below are the position details
Requisition Number: Site Reliability Engineering Architect (SRE Architect)
Location: Remote
Assignment Type: 12 month contract
Position Overview
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.
Core Responsibilities
Reliability Architecture & Operational Design
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.
Automation Platforms & Workflow Engineering
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.
AI-Driven & Agent-Based Operations
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.
Observability, Signal Processing, and Decision Systems
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.
Low-Code and Enterprise Automation Enablement
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.
Leadership & Technical Influence
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.
Required Qualifications
5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, 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.
Preferred Qualifications
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, FinOps principles, and zero-trust security models. Relevant cloud or platform certifications.
Success Metrics
Reduction in manual operational toil and human intervention. Increased adoption of automated and AI-assisted remediation. Faster detection, triage, and resolution of incidents. Improved reliability and service-level objective attainment. Scalable operational platforms that support growth without proportional increases in operational staffing.
Apply: Interested candidates can apply with their detailed word formatted resume along with their contact information\availability to raj (dot) sekhar (at) kellton (dot) com Phone 703-5 9 2 .9.5.1.7
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