OneMain Financial Jobs

Job Description Summary

Consulting Services business is seeking a Senior Platform Engineer to support evolution of our integrated systems planning software. This role focuses on creating reliable, scalable, and developer-friendly platforms that support complex, model-driven workloads, large datasets, and long-running simulations. You will enable application engineers and energy system modelers to build, deploy, and operate planning capabilities efficiently and safely.

Job Description

Roles & Responsibilities

• Design and operate Kubernetes-based runtime platforms for batch and service workloads

• Support scheduling and orchestration of long-running and compute-intensive jobs

• Define resource management, autoscaling, and workload isolation strategies

• Partner with infrastructure teams on cluster lifecycle and capacity planning

• Build and maintain CI/CD pipelines for application, model, and platform components

• Automate environment provisioning and deployment workflows

• Ensure reproducible builds and deployments across environments

• Implement platform-level monitoring, logging, and alerting

• Define platform SLIs/SLOs and reliability standards

• Improve resilience and operational maturity of the platform

• Support incident response and root-cause analysis as needed

• Integrate security best practices into the platform (identity, secrets, access control)

• Support auditability, traceability, and reproducibility requirements

• Enable compliance with expectations common in utility and ISO/RTO environments

• Partner closely with product, application engineering, data science, and modeling teams

• Act as a technical advisor on platform and runtime design

• Design and maintain internal platforms that abstract cloud and infrastructure complexity

• Build self-service tooling for deploying services, models, and analytical workflows

Required Qualifications

• 6+ years of experience in platform, infrastructure, or backend engineering

• Strong experience with Kubernetes and containerized workloads

• Experience building internal platforms or developer tooling

• Proficiency with CI/CD systems and automation

• Solid understanding of cloud platforms (AWS, Azure, or GCP)

• Experience using toolsets like Jenkins, Terraform , AQUA

Preferred Qualifications

• Experience supporting data-intensive or simulation-driven systems

• Familiarity with batch processing, distributed compute, or HPC-style workloads

• Experience in regulated or mission-critical software environments

• Exposure to energy systems, utilities, or grid planning (a plus)

Additional Information

Relocation Assistance Provided: Yes

GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.