Technical Consultant – DevOps, AI
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Job Description
Technical Consultant acting as solution architect and delivery engineer for cloud solutions in enterprise AI and DevOps. Collaborating with clients to implement tailored architectures and workflows using iTmethodsONE platform.
Responsibilities:
- Act as both a solution architect and delivery engineer for enterprise customers adopting the iTmethodsONE platform.
- Engage with enterprise customers to understand business drivers and technical goals; translate them into scalable DevOps and AI-native architectures.
- Lead discovery sessions and architectural design workshops to develop cloud solution roadmaps aligned with customer objectives.
- Design DevOps toolchain integrations, AI-assisted workflows, and automation.
- Provision secure, compliant landing zones in AWS/Azure, integrating identity, observability, and network baselines.
- Implement automation using Terraform, GitOps, and pipeline-based delivery models.
- Deploy and configure Coder CDEs, SonarQube, GitLab, Atlassian, and JFrog toolchain components.
- Integrate AI-assisted Dev tools (e.g., GitHub Copilot) and agentic AI frameworks (e.g., AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, n8n).
- Mentor peers and junior engineers on best practices in AI-first DevOps and solution design.
Requirements:
- 5+ years in cloud, DevOps, or solution engineering, with consulting and delivery experience.
- Strong enterprise experience across AWS/Azure and infrastructure-as-code (Terraform, GitOps).
- Hands-on implementation expertise with leading DevOps tools (GitHub, Atlassian, JFrog, SonarQube).
- Comfortable writing and maintaining automation scripts and tooling in languages such as Python, TypeScript, or Go to support DevOps and AI-native workflows.
- Capable of reading and reviewing application code to troubleshoot integration issues, improve observability, and recommend DevOps best practices.
- Familiar with modern development practices (Git-based workflows, code review, branching strategies, testing approaches) and able to coach teams on applying them in a DevOps and AI-native context.
- Familiarity with AI-native and agentic automation frameworks (AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI).
- Proven ability to engage directly with clients, lead technical workshops, and translate business needs into technical outcomes.
- Confident communicator with strong documentation and presentation skills.
- Professional or Expert level Cloud certified.
- Bachelor's in Computer Science, Engineering, or equivalent experience.
Benefits:
- Learning budget
- Flexible hybrid work
- Opportunities for career advancement
- Performance incentives tied to customer satisfaction, architecture adoption, and automation KPIs
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