Senior Software Engineer – Maintenance & Dev Support

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📞 Support Engineer

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Ren

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1987

🤲 Charity

🤝 Non-profit

💳 Fintech

Charity • Non-profit • Fintech

Ren is America’s premier provider of philanthropic technology and managed services, supporting over $150 billion in charitable assets and distributing over $50 billion to charities. The company offers various giving vehicles, including donor-advised funds, charitable trusts, and annuities, allowing clients to effectively achieve their charitable goals. Ren also provides resources and insights for advisors and donors to navigate charitable giving strategies.

📋 Description

• Act as a team advisor and technical thought leader, guiding direction and execution of high-impact initiatives within the domain. • Own complex production issues end-to-end, from triage through resolution, driving sustainable fixes and prevention strategies. • Lead root-cause analysis (RCA) across application, API, and database layers. • Design and implement maintainable, scalable, and testable solutions for defect resolution and system improvements. • Originate and institutionalize best practices, standards, and methodologies that improve engineering effectiveness and platform reliability. • Balance short-term fixes with long-term architectural integrity and maintainability. • Solve highly complex, cross-domain problems using advanced technical knowledge and broad experience. • Diagnose and optimize system performance across frontend, backend, and database layers. • Analyze Oracle database performance, including SQL optimization and execution plan tuning. • Lead technical debt reduction initiatives, prioritizing work that delivers meaningful improvements to system health and developer productivity. • Introduce new tools, approaches, or patterns that elevate operational efficiency and platform resilience. • Develop and maintain solutions in TypeScript/React and C#/.NET Core services. • Write and maintain automated unit and integration tests to reduce defects and prevent regression. • Refactor legacy code to improve clarity, maintainability, and performance. • Ensure adherence to secure coding practices and enterprise standards. • Build strong relationships and influence stakeholders across engineering, product, and operations through clear communication of complex concepts. • Translate deep technical issues into actionable insights for cross-functional partners. • Provide mentorship and guidance to engineers, actively developing team capabilities and avoiding common pitfalls. • Contribute to a culture of continuous improvement, intellectual humility, and engineering excellence. • Own incoming operational requests during business hours and drive timely resolution. • Create and maintain runbooks, documentation, and training materials to improve response consistency and reduce operational friction. • Collaborate closely with Operations, Product, and other stakeholders to ensure issues are properly prioritized and understood within business context. • Utilize observability tools (e.g., Application Insights, Datadog) to proactively monitor and improve system performance. • Leverage AI-assisted tools and agents to accelerate triage, debugging, and root-cause analysis workflows. • Design, build, and maintain AI-enabled developer tooling (e.g., MCP servers, diagnostics automation) to improve team productivity. • Establish responsible AI usage practices, ensuring outputs are validated, explainable, and aligned with engineering standards.

🎯 Requirements

• Bachelor’s degree in Computer Science or related field. • 5+ years of experience in enterprise software engineering. • Strong experience with C#/.NET Core and TypeScript with modern frameworks (React preferred). • Deep expertise in Oracle databases, SQL, and PL/SQL, including performance tuning and execution plan analysis. • Proven experience handling complex production issues and driving RCA to resolution. • Experience with distributed systems, APIs (REST/GraphQL), and microservices architectures. • Advanced understanding of system design, data modeling, and performance optimization. • Experience with automated testing frameworks and TDD practices.