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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 implementing GCP architectures with a focus on reliability and zero-trust standards, alongside proficiency in Python and modern async patterns. Capable of mentoring developers and leading engineering teams while ensuring adherence to architectural standards and best practices.
Highest-signal resume keywords
Python DevelopmentGoogle Cloud Platform ArchitectureFastAPI and Pydantic v2Vertex AI and Gemini ModelsCI/CD Deployment Pipelines
ATS Keywords
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Hard Skills
PythonGCPFastAPIPydantic v2Cloud RunCloud FunctionsBigQueryCloud SpannerRESTful APIsEvent-Driven Pipelines
Soft Skills
MentoringLeadershipTechnical GuidanceCollaboration
Tools & Technologies
GitLabPalo Alto PanoramaServiceNowCloud LoggingCloud Monitoring
Certifications & Qualifications
Google Cloud Professional Cloud ArchitectGoogle Cloud Professional Data Engineer
Industry Keywords
Enterprise ReliabilityZero-Trust StandardsCanonical Data ModelsModel Risk ManagementRegulatory Compliance
Tech Stack
Tools & technologiesBigQueryCloudDistributed SystemsGoogle Cloud PlatformITSMMicroservicesPythonServiceNow
About the role
Key responsibilities & impact- Design and implement modular, loosely coupled GCP architectures meeting enterprise reliability and zero-trust standards
- Establish canonical schemas, interface contracts, and reusable platform patterns across ingestion, normalization, storage, and AI reasoning layers
- Translate product roadmaps and Architecture Review Board specifications into engineering milestones, technical spikes, and interface contracts
- Mentor squad developers and partner engineering teams through technical guidance and code reviews
- Develop containerized Python microservices and jobs using FastAPI and Pydantic v2 on GCP Cloud Run
- Build deterministic validation and evaluation engines for critical business logic
- Implement schema validation and data contracts for operational telemetry from GitLab, Palo Alto Panorama, ServiceNow, and GCP APIs
- Design idempotent pipelines, quarantine routing for malformed payloads, and self-healing deployment models
- Architect conversational agent workflows using Vertex AI Agent Builder, Gemini, and frameworks such as LangGraph
- Implement hybrid retrieval using Spanner Graph, vector embeddings, and Vertex AI Search
- Enforce evidence provenance and verifiable citations for AI-generated responses
- Implement AI evaluation pipelines and safety gates with QA and AI Assurance teams
- Build automated testing, container scanning, and zero-touch CI/CD deployment pipelines
- Enforce ABAC, entitlement filtering, Secret Manager integration, and Model Armor safety filters
- Integrate tracing across Cloud Logging and Cloud Monitoring while optimizing GCP costs
Requirements
What you’ll need- 5+ years of professional software development experience
- Deep proficiency in Python, including modern async patterns, typing, and Pydantic v2
- 4+ years of hands-on architecture and engineering experience on Google Cloud Platform
- Experience with Cloud Run, Cloud Functions, Pub/Sub, Cloud Scheduler, BigQuery, Cloud Storage, and Cloud Spanner
- Experience with Secret Manager, IAM roles/service accounts, and workload identity federation
- Direct experience architecting applications using Google Vertex AI, Gemini models, Agent Builder, Search, grounding pipelines, and vector embeddings, or frameworks such as LangChain/LangGraph
- Experience designing distributed systems, RESTful APIs, event-driven pipelines, and canonical data models
- Proven ability to lead squads, mentor developers, define architectural standards, and drive consensus
- Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or equivalent practical enterprise experience
- Preferred: Google Cloud Professional Cloud Architect or Professional Data Engineer certification
- Preferred: enterprise network concepts, ServiceNow ITSM/KM, or IT Operations Analytics
- Preferred: automated LLM evaluation harnesses, prompt regression suites, or synthetic evaluation datasets
- Preferred: financial services governance, model risk management, and regulatory compliance experience
Benefits
Comp & perks- Eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives
- Flexible work options in circumstances where roles can be performed effectively in a mobile environment
- Benefits for which the position is eligible (specific benefits linked in posting)