Engineering Lead - Oracle SQL/PL-SQL, .NET & AI

Magnitude Software - insightsoftware

United States

Remote

USD 170,000 - 250,000

Full time

10 days ago

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Job summary

insightsoftware is seeking an Engineering Lead to head the Financial Reporting team, a hands-on, architecture-focused leader who codes when needed and guides engineers to excel in an AI-accelerated development environment.

You will own end-to-end delivery of mission-critical reports and dashboards for Fortune 500 finance clients, driving architectures and best practices while coaching growth and maintaining high quality.

Qualifications

Bachelor's degree in computer science or equivalent demonstrated engineering depth.
10+ years of hands-on experience in designing and developing enterprise SaaS applications on the backend with deep understanding of Databases.
2+ years of engineering team management with a proven record of growing senior engineers and retaining high performers.
Architect/Principal engineer level deep expertise in relational databases - Oracle PL/SQL - complex query optimization, stored procedures, performance tuning, and large-scale data handling.
Very strong command of SQL and data modelling.
Experience in Reporting/BI on Development side (Power BI, Tableau, Qlik etc.).
Demonstrated, day-to-day use of AI developer tools (GitHub Copilot, Claude Code, Cursor) with the ability to coach teams on maximizing their impact.
Experience in building and consuming RESTful APIs using .Net/C# in distributed, enterprise-scale systems.
Solid grounding in Agile/Scrum delivery - sprint discipline, backlog ownership, and release management rigor.
Strong proficiency with Git, branching strategies, and CI/CD practices.
Experience in financial domain applications - FinTech or equity management - is a significant plus.
Experience with Azure Cloud will be a plus.
Exceptional written and verbal communication - you can explain a complex database design to a product manager and a deployment risk to an engineering Director with equal clarity.

Responsibilities

Own end-to-end delivery of Reporting and BI features: from technical design through sprint execution to production - with full accountability for quality and timelines
Drive architectural decisions for scalable, high-performance dashboards using Oracle, BI Tools, Azure and .NET/C# - creating PoCs, reviewing PRs, and actively contributing code where it matters
Champion AI-first development practices across the team - mandating and coaching effective use of GitHub Copilot, Claude Code, or equivalent AI coding tools as a standard part of the engineering workflow, not an optional extra
Shape the technical roadmap in partnership with Product - ensuring long-term architectural health is never traded away for short-term velocity
Run high-quality 1:1s, performance reviews, and growth conversations that move the needle on individual development and team retention
Enforce engineering standards: code quality gates, branch policies, code freeze discipline, and release management protocols - with zero ambiguity
Lead code reviews and architecture discussions as a teacher and a critic - raising the technical floor of every engineer on the team
Translate complex data reporting requirements into clean, maintainable, production-ready software
Partner with cross-functional teams - Product, QA, DevOps, and Customer Success - to deliver releases that enterprise clients can depend on