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 work—bridging 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 Bedrock AgentCore, 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 Operation 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 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. 

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.