Role Overview
As a Technical Consultantyoullact as both a solution architect and delivery engineer for enterprise customers adopting theForge platform. This role combines technical consulting solution design and hands-on delivery to help customers achieve secure automated and AI-enhanced cloud environments.
Youllcollaborate with customers to design tailored architectures define integration blueprints and guideadoptionof AI-native DevOps bring those designs to life through cloud provisioning automation andintegrationworkbridging 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 customerobjectives.
- Design DevOps toolchain integrations AI-assisted workflows and automation.
Cloud Engineering & Implementation
- Provisionsecure compliant landing zones in AWS/Azure integrating identity observability and network baselines.
- Implement automation using TerraformGitOps and pipeline-based delivery models.
- Deploy and configure Coder CDEs SonarQube GitLab Atlassian andJFrogtoolchain components.
AI-Native Workflow Enablement
- Integrate AI-assisted Dev tools (e.g. GitHub Copilot) and agentic AI frameworks (e.g. AWS BedrockAgentCoreLangChain/LangGraphCrewAI 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 testingdeploymentreadiness and transition to managed operations.
- Influence client outcomes through proactive recommendations and architecture optimization.
- Provide L3 escalation supporttoPlatformOperation and Support team.
Innovation Mentorship & Collaboration
- Mentor peers and junior engineers on best practices in AI-first DevOps and solution design.
- Collaborate cross-functionallywith Product and Engineering to evolve theForge 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 consultingand deliveryexperience.
- Strong enterprise experience across AWS/Azure and infrastructure-as-code (TerraformGitOps).
- Hands-on implementationexpertisewith leading DevOps tools (GitHub AtlassianJFrog SonarQube).
- Comfortable writing andmaintainingautomation scripts and tooling in languages such as Python TypeScript or Go to support DevOps and AI-native workflows.
- Capable ofreading and reviewing application code to troubleshoot integration issues improve observabilityandrecommend 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 BedrockAgentCoreLangChain/LangGraphCrewAI).
- 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
- Bachelors 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.
- Advancedproficiencyin AI-assisted Dev tools and workflow automation practices.
Required Experience:
Contract
Role OverviewAs a Technical Consultantyoullact as both a solution architect and delivery engineer for enterprise customers adopting theForge platform. This role combines technical consulting solution design and hands-on delivery to help customers achieve secure automated and AI-enhanced cloud enviro...
Role Overview
As a Technical Consultantyoullact as both a solution architect and delivery engineer for enterprise customers adopting theForge platform. This role combines technical consulting solution design and hands-on delivery to help customers achieve secure automated and AI-enhanced cloud environments.
Youllcollaborate with customers to design tailored architectures define integration blueprints and guideadoptionof AI-native DevOps bring those designs to life through cloud provisioning automation andintegrationworkbridging 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 customerobjectives.
- Design DevOps toolchain integrations AI-assisted workflows and automation.
Cloud Engineering & Implementation
- Provisionsecure compliant landing zones in AWS/Azure integrating identity observability and network baselines.
- Implement automation using TerraformGitOps and pipeline-based delivery models.
- Deploy and configure Coder CDEs SonarQube GitLab Atlassian andJFrogtoolchain components.
AI-Native Workflow Enablement
- Integrate AI-assisted Dev tools (e.g. GitHub Copilot) and agentic AI frameworks (e.g. AWS BedrockAgentCoreLangChain/LangGraphCrewAI 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 testingdeploymentreadiness and transition to managed operations.
- Influence client outcomes through proactive recommendations and architecture optimization.
- Provide L3 escalation supporttoPlatformOperation and Support team.
Innovation Mentorship & Collaboration
- Mentor peers and junior engineers on best practices in AI-first DevOps and solution design.
- Collaborate cross-functionallywith Product and Engineering to evolve theForge 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 consultingand deliveryexperience.
- Strong enterprise experience across AWS/Azure and infrastructure-as-code (TerraformGitOps).
- Hands-on implementationexpertisewith leading DevOps tools (GitHub AtlassianJFrog SonarQube).
- Comfortable writing andmaintainingautomation scripts and tooling in languages such as Python TypeScript or Go to support DevOps and AI-native workflows.
- Capable ofreading and reviewing application code to troubleshoot integration issues improve observabilityandrecommend 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 BedrockAgentCoreLangChain/LangGraphCrewAI).
- 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
- Bachelors 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.
- Advancedproficiencyin AI-assisted Dev tools and workflow automation practices.
Required Experience:
Contract
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