Chase · 2 weeks ago
Lead Software Engineer - GCP ML Engineer
880 Powder Mill Rd, Wilmington, DE, 19803, US
Full-time
Onsite
Senior Level, Lead/Staff
$152K/yr - $215K/yr
5+ years expChase is seeking a Lead Software Engineer within the Chief Data and Analytics Office. The role involves enhancing, building, and delivering technology products focused on machine learning pipelines and services, while ensuring stability and security.
BankingFinancial Services
Responsibilities
Execute creative software solutions, design, development, and troubleshooting for ML pipelines and services
Develop secure, high‑quality production code; review and debug ML pipeline, data processing, and inference code
Identify opportunities to eliminate or automate remediation of recurring ML pipeline issues to improve stability
Lead evaluation sessions with internal teams on ML architectures, scalability, and observability
Lead communities of practice around Vertex AI Pipelines, Feature Store, and MLOps best practices
Add to team culture of diversity, opportunity, inclusion, and respect
Design ML pipelines on Vertex AI Pipelines; automate ingestion, feature engineering, training, and deployment with reproducibility
Build and manage Feature Store and Model Registry; support fine‑tuning and online/batch inference at scale
Configure robust monitoring for model/data drift, security telemetry, and pipeline reliability; enforce alerting and SLOs
Implement encryption (CMEK/KMS), RBAC, org policies, and compliance controls across ML pipelines and artifacts
Qualification
Required
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands‑on experience in system design, application/ML development, testing, and operational stability
Advanced proficiency in one or more programming languages (Python required)
Proficiency in automation and continuous delivery for ML pipelines
Proficient in all aspects of the Software Development Life Cycle and MLOps practices
Advanced understanding of CI/CD, application resiliency, and security in ML systems
Practical cloud‑native experience (GCP) operating data/ML workloads
Demonstrated experience with Vertex AI Pipelines, Workbench, Predictions, and Feature Store
Experience with model registry, drift detection, and observability (metrics/traces/logs) for ML services
Ability to implement CMEK/KMS, org policy guardrails, and automated remediation controls
Preferred
Experience with Vertex AI Search, Vector Search, and RAG pipelines
Familiarity with Gemini model families and evaluation instrumentation
Strong data engineering for encryption, tagging/labeling, and lineage
Competence in resource tagging aligned to Atlas 2.0 for security/finance/logging
Experience with cost management dashboards and spend alerting for ML workloads
Awareness of the GCP enablement roadmap (Florence/Atlas 2.0, JET integration)
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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