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

DevOps, Artificial Intelligence (AI), Automation, Prism, Writing Skills, Scrum Project Management and Software Development, Automation, Business Process Management, Documentation, Artificial Intelligence (AI), * 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