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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating large-scale distributed systems, with a strong focus on Python development and AI agent architectures. Capable of defining technical standards, mentoring teams, and ensuring high-quality, secure, and resilient platform services.
Highest-signal resume keywords
Python DevelopmentLarge-Scale Distributed SystemsAI Agent ArchitecturesGoogle Cloud ServicesCloud Security
ATS Keywords
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Hard Skills
Software EngineeringGenerative AI SolutionsOrchestration PatternsContext ManagementTesting MethodologiesQuality AssuranceObservabilityFault TolerancePolicy-as-CodeRetrieval Systems
Soft Skills
MentoringInfluencing Technical DirectionDriving Architectural Standards
Tools & Technologies
Vertex AIGeminiGKECloud RunBigQueryPub/Sub
Industry Keywords
AI Agent DevelopmentEnterprise AI PlatformsWorkload IdentitySecure-by-Design ArchitecturesNon-Deterministic Systems
Tech Stack
Tools & technologiesBigQueryCloudDistributed SystemsPython
About the role
Key responsibilities & impact- Design and build core platform services that enable enterprise AI agent development and operations
- Define the architecture, engineering patterns, and technical standards for the AI agent platform
- Develop and maintain a centralized model gateway for routing, governance, resiliency, and cost management
- Build agent runtime capabilities that support long-running workflows, orchestration, and human-in-the-loop processes
- Design secure identity, authorization, and policy enforcement mechanisms for agents and tools
- Establish platform capabilities for context management, memory, retrieval, and data isolation
- Create testing, evaluation, and release frameworks that ensure agent quality, safety, and performance
- Implement observability, auditability, and operational tooling for monitoring and troubleshooting agent behavior
- Partner with Security, Data Governance, and Cloud Infrastructure teams to define platform controls and guardrails
- Mentor engineers, influence technical direction, and raise engineering standards across multiple teams
Requirements
What you’ll need- Extensive experience building and operating large-scale distributed systems in production
- Strong software engineering background with expert-level Python development skills
- Hands-on experience delivering production LLM, generative AI, or agent-based solutions
- Deep understanding of agent architectures, orchestration patterns, and enterprise AI platforms
- Experienced with retrieval systems, embeddings, vector search, and context management strategies
- Knowledgeable in AI evaluation, testing methodologies, and quality assurance for non-deterministic systems
- Proficient with Google Cloud services including Vertex AI, Gemini, GKE, Cloud Run, BigQuery, and Pub/Sub
- Experienced with cloud security, workload identity, OAuth, policy-as-code, and secure-by-design architectures
- Strong understanding of distributed system reliability patterns, including resiliency, retries, observability, and fault tolerance
- Proven ability to influence technical direction, drive adoption of architectural standards, and lead through expertise rather than authority