Senior DevOps Engineer — AI-Native Automation Platforms

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