Job Title

Role Overview As a Technical Consultant, you'll act as both a solution architect and delivery engineer for enterprise customers adopting the Forge platform. This role combines technical consulting, solution design, and hands-on delivery to help customers achieve secure, automated, and AI-enhanced cloud environments. You'll collaborate with customers to design tailored architectures, define integration blueprints, and guide adoption of AI-native DevOps workflows. You'll then bring those designs to life through cloud provisioning, automation, and integration workbridging the gap between vision and delivery. Key Responsibilities Solution & Architecture Consulting - 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. Cloud Engineering & Implementation - 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. AI-Native Workflow Enablement - Integrate AI-assisted Dev tools (e.g., GitHub Copilot) and agentic AI frameworks (e.g., AWS BedrockAgentCore, LangChain/LangGraph, CrewAI, n8n). - Collaborate with clients to define and operationalize AI-augmented DevOps workflows that improve automation and efficiency. Customer Success & Delivery Excellence - Partner with Professional Services teams on Activation Packs and bespoke implementations for strategic clients. - Oversee testing, deployment readiness, and transition to managed operations. - Influence client outcomes through proactive recommendations and architecture optimization. - Provide L3 escalation support to Platform Operations and Support team. Innovation, Mentorship & Collaboration - Mentor peers and junior engineers on best practices in AI-first DevOps and solution design. - Collaborate cross-functionally with Product and Engineering to evolve the Forge platform based on client insights. - Contribute to practice development by refining methodologies, playbooks, and reusable architectures. Qualifications & Must-Haves - 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 BedrockAgentCore, 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. Preferred Qualifications - Experience in regulated industries (FSI, Healthcare, Software & Technology). - Success in designing or operating single-tenant or air-gapped customer environments. - Advanced proficiency in AI-assisted Dev tools and workflow automation practices. #J-18808-Ljbffr