JPMorganChase · 2 weeks ago
Lead Software Engineer - GCP ML Engineer
Wilmington, DE
Full-time
Onsite
Senior Level, Lead/Staff
$152K/yr - $215K/yr
5+ years expJPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Lead Software Engineer, you will be a core technical contributor responsible for conducting critical technology solutions across multiple technical areas to support the firm’s business objectives.
Asset ManagementBankingFinancial 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)
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
10001+ employees
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Allison Beer
CEO of Card Services and Connected Commerce
Dan Mendelson
CEO, Morgan Health
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