1 day ago
Remote, United StatesStaff+
Base Salary
$96k - $181k/yr
Responsibilities
- Design and implement scalable, modular GCP cloud architectures meeting enterprise reliability and zero-trust standards.
- Develop Python-based containerized microservices and jobs using FastAPI and Pydantic on Cloud Run.
- Build deterministic policy engines, canonical data contracts, idempotent pipelines, quarantine routing, and self-healing deployment models.
- Architect conversational agent workflows using Vertex AI Agent Builder, Gemini, LangGraph, custom tool routing, memory, and complexity routing.
- Implement hybrid GraphRAG retrieval using Spanner Graph, vector embeddings, and Vertex AI Search.
- Ensure AI responses include verifiable evidence provenance and citations to authoritative sources.
- Build AI evaluation pipelines and safety gates measuring grounding, latency, and false-allow rates.
- Implement automated testing, container scanning, zero-touch deployment, access governance, secret management, and Model Armor safety filters.
- Integrate tracing, logging, monitoring, and cost-efficiency controls across GCP workloads.
- Mentor squad developers, conduct code reviews, define reusable architecture patterns, and align cross-functional engineering teams.
Requirements
- At least 5 years of professional software development experience with deep Python proficiency, including modern asynchronous patterns, typing, and Pydantic v2.
- At least 4 years of hands-on Google Cloud Platform architecture and engineering experience.
- Experience with Cloud Run, Cloud Functions, Pub/Sub, Cloud Scheduler, BigQuery, Cloud Storage, Cloud Spanner, Secret Manager, IAM, service accounts, and workload identity federation.
- Experience architecting applications with Vertex AI, Gemini, Agent Builder, Vertex AI Search, grounding pipelines, vector embeddings, LangChain, or LangGraph.
- Experience designing distributed systems, RESTful APIs, event-driven pipelines, canonical data models, and data contracts.
- Demonstrated ability to lead engineering squads, mentor developers, define architectural standards, and build consensus across technical and product stakeholders.
- 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 knowledge of enterprise networking, firewalls, CIDR routing, ServiceNow ITSM/KM, or IT Operations Analytics.
- Preferred experience with LLM evaluation harnesses, prompt regression suites, synthetic evaluation datasets, financial-services governance, model risk management, or regulatory compliance.
Benefits
- Base salary eligibility is listed at $96,000.00–$181,000.00 annually, with possible incentive compensation; compensation figures are excluded from the structured salary benefits field.
- The role prioritizes in-office presence while offering flexible mobile-work options when the position can be performed effectively.
- The position is based at 4910 Tiedeman Road, Brooklyn, Ohio.
- The position is eligible for KeyCorp employee benefits as described in the posting.
- The job posting expires November 26, 2026.
Tech Stack
Categories
About KeyBank
KeyBank, the primary banking subsidiary of KeyCorp (NYSE: KEY), provides retail and commercial banking, payments, wealth management, and equipment financing to consumers and businesses across the United States. Headquartered in Cleveland, it operates a branch-based and digital model, earning interest and fee income from deposits, lending, treasury services, and investment products. KeyCorp was formed in 1994 through the merger of Society Corp. and KeyCorp, creating one of the country’s largest regional banks.