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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building production-grade agentic workflows, with a strong command of Azure and AWS. Proven ability to lead architectural initiatives, mentor engineers, and establish technical standards across teams.
Highest-signal resume keywords
Architectural Direction SettingProduction-Grade Workflow DesignTechnical Leadership and MentoringAzure and AWS ProficiencyKubernetes Production Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentCode Fluency in Mainstream Programming LanguagesSQL and NoSQL SystemsEnd-to-End Agentic Workflow DesignAutomated Testing PracticesKnowledge of SOLID, DRY, KISS, YAGNI, and TDDExperience with LLM-Powered FeaturesContainer OrchestrationServerless TechnologiesEvent-Driven Architectures
Soft Skills
MentoringCollaborationInfluencing Engineering Culture
Tools & Technologies
Azure AI FoundryAzure OpenAIAWS BedrockSageMakerC#/.NETNode.js/TypeScriptVue.jsMCPAgent FrameworksAutodesk Products and APIs
Industry Keywords
ConstructionMEPManufacturing Domain KnowledgeLarge-Scale MigrationsArchitectural Transformations
Tech Stack
Tools & technologiesAWSAzureJavaScriptKubernetesNode.jsNoSQLSDLCSQLTypeScriptVue.js.NET
About the role
Key responsibilities & impact- Set architectural direction for products emerging from Labs from prototype to production
- Design and build production-grade agentic workflows, including retrieval, tool use, multi-step planning, human-in-the-loop checkpoints, and safety guardrails
- Provide senior technical guidance for architectural decisions spanning multiple teams
- Establish technical standards and engineering practices across the organization
- Make significant individual contributions to the SaaS product across Azure and AWS
- Collaborate with product, design, and engineering across the full SDLC
- Mentor and guide engineers and influence engineering culture
- Ensure performance, quality, and responsiveness of customer-facing applications and agentic systems
- Implement and maintain automated testing practices, including evaluations for AI components
- Contribute to modernization and consolidation of legacy integration surfaces
Requirements
What you’ll need- 8+ years of professional software development experience
- 3+ years in senior, lead, or principal roles
- Deep code fluency in mainstream programming languages
- Strong working command of Azure and AWS
- Knowledge of container orchestration, serverless, messaging, identity, and managed data stores
- Kubernetes production experience
- Strong command of SQL and NoSQL systems
- Production experience shipping LLM-powered features
- Experience with retrieval, embeddings, tool calling, structured outputs, and cost/latency tradeoffs
- Experience designing end-to-end agentic workflows
- Experience leading architectural initiatives across teams
- Strong technical leadership and mentoring experience
- Knowledge of SOLID, DRY, KISS, YAGNI, and TDD
- Familiarity with C#/.NET, Node.js/TypeScript, and Vue.js
- Advanced English
- Working familiarity with MCP, agent frameworks, and evaluation frameworks is a plus
- Experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock, or SageMaker is a plus
- Experience with Autodesk products and APIs is a plus
- Construction, MEP, or manufacturing domain knowledge is a plus
- Experience with large-scale migrations or architectural transformations is a plus
- Familiarity with modern serverless technologies is a plus
- Understanding of event-driven architectures and message-based integration is a plus
Benefits
Comp & perks- AI-assisted development using Claude Code, Cursor, and Copilot
- Autonomy to exercise real engineering judgment
- Influence over architecture, technical standards, and engineering culture
- High-bar technical environment with broad architectural impact
