Optimize engineering processes with agentic AI: Diagnose workflow bottlenecks, then implement agentic automation, templates, and “golden paths” that reduce cycle time and deployment time while maintaining reliability.
Team enablement for agentic AI & AI-native development: Coach teams to apply AI-native development using Claude Code or other tools safely and effectively, pairing on real tasks, guiding PRs/diff review, and driving measurable improvements.
Agentic orchestration & decomposition: Design robust multi-agent workflows, including the use of commands, hooks, skills, and model selection for repeatable outcomes.
Assessment & evaluation design: Design skill assessments to diagnose current-state engineering and agentic-AI proficiency, define modular entry points, and measure improvement over time (pre/post assessments, competency rubrics, and program effectiveness metrics).
Claude Code CLI mastery: Operate Claude Code CLI as a daily driver for parallel workstreams and tasks (multi-file refactors, parallel tasks, debugging loops, test creation, and documentation updates).
Agentic hierarchies & context management: Implement scalable agentic tooling hierarchies, context retrieval and context management for long running and complex workflows (retrieval patterns, state handling, summarization, context hygiene) to prevent drift and improve reproducibility.
DevSecOps for agentic engineering: Embed DevSecOps principles and practice into agentic workflows (least privilege, secrets hygiene, dependency/supply-chain awareness, policy-compliant usage, auditability).
Terraform & IaC: Provision and manage cloud infrastructure (AWS/GCP/Azure) using Terraform, enabling secure environments that support agentic development (ephemeral environments, CI runners, permissions).
Software architecture & engineering excellence: Apply strong architecture judgment; guide refactors and implementation patterns suitable for AI-native development; enforce testing and quality standards.
Stay current in agentic software development: Continuously evaluate emerging agentic tooling, model capabilities, and workflow patterns; synthesize learnings into updated playbooks, curriculum, and client recommendations.
Training assets, teaching & knowledge transfer: Create practical training artifacts (labs, playbooks, troubleshooting guides, examples) and deliver instruction through workshops, live training, and office hours so teams can adopt standardized workflows consistently.
Requirements
Deep proficiency with Claude Code and/or Github Copilot applied to real-world codebases (multi-file changes, refactors, debugging, test loops).
Proven experience building agentic workflows (decomposition, tool-use, verification, parallel execution, recovery strategies) and operationalizing them for teams.
Demonstrated ability to stay current on agentic software development tools, model capabilities, and best practices—and translate that into practical guidance, training assets, and client-facing recommendations.
Demonstrated ability to teach and coach teams and drive adoption with measurable improvements in delivery outcomes.
Excellent communication skills with the ability to align technical and non-technical stakeholders.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Terraform
Benefits
Equal Opportunity Employer
Work environment free of discrimination and harassment
Reasonable accommodations available for persons with disabilities
Software Development SME at Correlation One | JobVerse