5 software deployment engineer jobs at 4 companies in Petersburg, VA
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Software Engineer
Richmond, Virginia, United States
HybridFull Time
Genworth FinancialNYSE: GNW: Provides insurance products for aging care and mortgage protection.
5+ YOEExperience building web apps with Python/Flask, JavaScript frontend, API design, Azure deployment, GitLab CI/CD; mentor; BSCS or 5+ years experience.
Dominion EnergyNYSE: D: Provides regulated electric and natural gas utility services.
10+ YOE10+ years software development, 3+ years GenAI/AI-ML experience, 2+ years DevOps cloud deployments; advanced proficiency in .NET, React, Angular, Python, SQL, SQL Server, Oracle, NoSQL, Microsoft Power Platform; experience with RAG, model fine-tuning and cloud deployments (AWS/Azure/GCP).
.NET, React, Angular, Python, SQL, SQL Server, Oracle, NoSQL, Microsoft Power Platform, RAG, Agentic AI, AWS, Azure, GCP, Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft OneNote, Microsoft Project, Microsoft Visio, Microsoft SharePoint
Lead Full Stack Engineer - Capital One Software (Remote)
Richmond, Virginia, United States
RemoteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
Requires 4+ years of software engineering experience, 1+ year of cloud computing experience, and proficiency with React, Next.js, TypeScript, Tailwind CSS, accessible components, APIs, and deployment workflows.
CEEUS: Wholesale distributor of electric utility and broadband infrastructure materials.
5+ YOEBachelor's degree or equivalent experience; 5+ years delivering production web or enterprise applications, with JavaScript, HTML, CSS, REST APIs, SQL, source control, testing, deployment, troubleshooting, and support experience.
Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)
McLean or San Francisco or New York City or Richmond or San Jose
$179k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: A diversified financial services providing banking and credit products.
4+ YOEBachelor's plus 4 years or master's plus 2 years in AI/ML development, and 4 years programming with Python, Go, Scala, or Java; cloud AI deployment experience preferred.