Senior DevOps Engineer - AI-Native Automation Platforms

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Senior DevOps Engineer - AI-Native Automation Platforms

Remote in Georgia, & 4 others

DevOps& 27 others

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We are seeking a Senior DevOps Engineer to design, build, and operate RPA/BPM platforms, AI-first, leveraging Claude and CodeMie to author infrastructure code, review changes, triage incidents, and generate documentation. This role will lead CI/CD efforts across Automation Anywhere, UiPath, and Blue Prism under Scrum/SAFe methodologies.

Responsibilities

• Design and optimize CI/CD pipelines using AI assistants for authoring and troubleshooting

• Integrate AI-based code review and quality gates into the development flow

• Automate pipelines via Jira and prototype agentic workflows that turn tickets into changes

• Build dashboards with AI adoption and impact metrics, such as cycle-time and MR ratio

• Stand up AIOps monitoring, alerting, and log aggregation systems

• Establish prompts, prompt libraries, MCP integrations, and guardrails

• Mentor engineers and champion AI-native ways of working

• Define autonomy boundaries, manage secrets and PII, and validate AI output before production

• Correlate alerts, summarize incidents, draft post-mortems, and surface root causes

• Generate and validate Terraform, Ansible, and Helm code with human-in-the-loop review

Requirements

• 5+ years of experience in DevOps engineering with CI/CD design, scripting in Bash, PowerShell, Python, and IaC discipline

• Experience with configuration management and HA monitoring/alerting

• Expertise in Linux and Windows operating systems, with knowledge of MS SQL and PostgreSQL databases

• Senior-level experience with at least one cloud platform among Azure, AWS, or GCP in multicloud environments

• Background in RPA/BPM platforms, including Automation Anywhere, UiPath, Blue Prism, and Intelligent Automation

• Hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or Azure DevOps, along with Git

• Familiarity with observability practices, including metrics, logging, alerting, and log aggregation

• Proficiency in AI assistants and agentic tooling, including Claude, CodeMie, MCP servers, and tool integrations

• Skills in IaC and containerization tools, including Terraform, Ansible, Helm, Docker, and Kubernetes

• Competency in prompt engineering and context management for coding and operations

• Expertise in agentic workflow design, including task decomposition, tool use, and human-in-the-loop validation

• Understanding of AI governance principles, including guardrails, secrets handling, and autonomy boundaries

• English proficiency at B2 level or higher

Nice to have

• Experience with Agile/Scrum methodologies, with SAFe considered a plus

• Proactive, fast-learning mindset with trust-vs-verify judgment in AI assistant/agent use