> Markdown version of [/jobs/ext/3039556-automation-architect-sre-operations](https://www.wearedevelopers.com/jobs/ext/3039556-automation-architect-sre-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Automation Architect - SRE Operations - **Company:** American IT Systems - **Location:** Alpharetta, GA, United States - **Experience:** Expert - **Salary:** $75,000.0 - $80,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, DevOps, Issue Tracking Systems, Open Source Technology, Reliability Engineering, Enterprise Software Applications, DevOps Tools - Open-source, Delivery Pipeline, Large Language Models, Spring-boot, Mttr, Generative AI, Git, Event Driven Architecture, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Apache Kafka, Virtual Agents, Amazon Simple Queue Service (SQS), GPT, Software Version Control, Jenkins, Microservices - **Published:** September 23, 2026 - **Apply:** https://www.careerjet.com/jobad/usfea100e21f2426d231e72f265efd735a ## About the Role * 12+ years in enterprise software architecture, with direct experience in an SRE, DevOps, or production-support organization (e.g., building DevOps tooling for automated system health checks). * Proven track record architecting and shipping cloud-native microservices at scale (Java/Spring Boot or equivalent) within regulated industries such as financial services or fintech. * Hands-on experience building AI-driven automation agents for engineering/QA workflows - including agents that execute multi-step application workflows and technical-support assistants using RAG/MCP. * Deep knowledge of cloud platforms (AWS and/or Azure), event-driven architecture, and enterprise messaging (Kafka, SNS/SQS, Service Bus). * Working knowledge of CI/CD tooling and version control (Jenkins, Git) and experience embedding automated gating into deployment pipelines. * Demonstrated ability to lead cross-functional teams and communicate architecture decisions to both technical and executive audiences. * Bachelor's degree in Computer Science, Engineering, or related field; advanced degree a plus., * Experience designing canary and progressive-delivery deployment automation. * Familiarity with agentic AI frameworks (LangGraph, LangChain, Spring AI) and LLM providers (OpenAI GPT, Claude). * Background supporting investment-management, lending, or capital-markets platforms. * AWS Certified Solutions Architect or equivalent cloud certification. * Track record of published technical thought leadership, conference speaking, or open-source contribution in automation/reliability engineering. ## Description We are looking for a hands-on Automation Architect to lead the design and delivery of an automation-first Site Reliability Engineering (SRE) operating model. This person will architect self-healing, AI-augmented operational tooling that reduces manual toil, shortens incident response, and hardens production resilience across distributed, cloud-native, and enterprise platforms. The ideal candidate has spent time inside an actual SRE organization, has built production-grade microservices and integrations at scale, and is now extending that foundation into agentic AI and intelligent automation for engineering and operations workflows. What You'll Do * Architect end-to-end automation frameworks for incident detection, triage, remediation, and post-incident reporting, reducing mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR) across production environments. * Design and implement AI-powered automation agents - using tools such as LLM orchestration frameworks, retrieval-augmented generation (RAG), and Model Context Protocol (MCP) - that connect enterprise knowledge bases, ticketing systems, and live application telemetry to accelerate diagnosis and support decisions. * Define and evolve canary, blue-green, and progressive-delivery deployment models, embedding automated health checks, rollback triggers, and SLO-based gating into CI/CD pipelines. * Build and maintain DevOps tooling that executes automated system health checks, checklist-driven runbooks, and self-service diagnostics for on-call engineers. * Establish SLIs/SLOs and error-budget policies in partnership with application and platform teams, and instrument observability (metrics, logs, traces, dashboards) to make reliability data actionable. * Lead architecture for event-driven, microservices-based automation across cloud platforms (AWS/Azure), including messaging and integration layers (Kafka, SQS/SNS, Service Bus). * Partner cross-functionally with engineering, QA, and production-support teams to identify automation opportunities, build the business case, and drive adoption of automation-first practices. * Mentor engineering and SRE teams on automation patterns, infrastructure-as-code practices, and operational best practices; contribute to technical documentation, playbooks, and governance standards. * Represent automation and reliability strategy in client and executive-facing briefings, translating technical capability into business value. ## Related Videos - [What Developers Get Wrong About Application Quality](https://www.wearedevelopers.com/videos/233-what-developers-get-wrong-about-application-quality) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [The AI-Native Software Team: How Agents Are Rewriting the SDLC](https://www.wearedevelopers.com/videos/100263-the-ai-native-software-team-how-agents-are-rewriting-the-sdlc) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)