Lead Engineer – Application Engineering

Job not on LinkedIn

🕒 May 1

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $124k - $156k / year

⏰ Full Time

🟠 Senior

💻 Application Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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insightsoftware

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

💸 Finance

🏢 Enterprise

💰 $798.6M Private Equity Round - insightsoftware on 2021-07

SaaS • Finance • Enterprise

insightsoftware is a provider of financial and operational reporting software and data analytics solutions for the Office of the CFO. Its cloud-enabled platform and pre-built connectors integrate with major ERPs (Oracle, SAP, Microsoft and 140+ others) to deliver financial reporting, budgeting/planning, consolidation, tax and lease lifecycle management, embedded analytics, and automation tools. The company serves finance, accounting, and operations teams with AI-enabled features, data virtualization, and turnkey templates to accelerate reporting, planning, and compliance.

📋 Description

• Serve as the technical authority for your scrum team — making day-to-day engineering decisions, setting the bar for code quality, and ensuring the team delivers high-quality software on schedule. • Write, review, and contribute production-quality code across the full stack — C#/.NET, Angular, and Oracle — as an active, hands-on member of the team. • Lead sprint ceremonies as scrum master: planning, refinement, daily standups, demos, and retrospectives. • Set daily priorities for the team; actively unblock teammates by removing dependencies, clarifying requirements, and resolving technical ambiguity. • Hold the team accountable to engineering standards — unit testing, code review discipline, definition of done, and release readiness. • ≥50% AI-authored PR targets and ≥95% AI code review adoption as organizational minimums for your team. • Model an agentic development mindset — integrating AI tooling into your own daily workflow and actively coaching teammates to do the same. • Push the team beyond baseline AI adoption into workflows and practices that measurably improve delivery velocity and code quality. • Stay current on agentic development tooling and bring forward-looking recommendations to the Sr Engineering Manager. • Directly manage four to five engineers — owning 1:1s, performance feedback, career development conversations, and day-to-day engagement. • Partner with the Sr Engineering Manager on hiring decisions, onboarding, and performance management for your team. • Identify and grow technical talent within your squad — coaching engineers on both technical skills and professional development. • Foster a collaborative, high-accountability team culture that takes quality seriously and supports each other's success. • Interface with client stakeholders at key points in the delivery lifecycle — requirements clarification, design reviews, demo feedback, and issue resolution. • Dig into root business problems rather than accepting requirements at face value; advocate for solutions that generalize across the CEM platform rather than one-off client-specific builds. • Partner with the Sr Engineering Manager and Product Management to ensure work is well-defined, properly scoped, and sequenced for delivery. • Coordinate with matrixed QA engineers to ensure test coverage, quality gates, and release readiness are met. • Collaborate with Principal Engineers, the Solution Architect, and peer Lead Engineers on cross-team technical decisions and standards. • Surface delivery risks, technical blockers, and scope concerns to the Sr Engineering Manager early and clearly.

🎯 Requirements

• 8-10+ years of hands-on software engineering experience in enterprise SaaS environments, with demonstrated experience in a technical lead or lead engineer capacity. • Deep full-stack expertise in C#, .NET (Framework and/or Core), Angular, and Oracle — able to contribute meaningfully across the entire stack. • Strong proficiency in Domain-Driven Design (DDD) — hands-on experience with domain model layering across application, service, and data access tiers. • Experience with CQRS patterns for command/query separation in multi-service architectures. • Demonstrated AI-first engineering mindset — hands-on experience with agentic development tooling (GitHub Copilot, Devin.AI, or similar) and a track record of driving AI adoption within an engineering team. • Proven ability to lead a scrum team as both technical authority and delivery owner — setting priorities, running ceremonies, and holding teammates accountable. • Experience with direct people management responsibilities — performance feedback, career development, and team engagement for a small team of engineers. • Strong code review discipline and engineering quality standards — unit testing (xUnit/NUnit, Jasmine/Karma), CI/CD hygiene, definition-of-done rigor. • Experience with Angular 15+ including Reactive Forms, RxJS, Angular Material, and TypeScript. • Experience with Oracle databases including PL/SQL development — packages, procedures, views, and query optimization. • Experience with Entity Framework Core including Oracle EF Core provider. • 3+ years of experience with Azure cloud technologies and Azure DevOps CI/CD pipelines. • Fluent communicator — able to engage credibly with client stakeholders and translate technical realities clearly to non-technical audiences. • Experience working in global, distributed teams across multiple time zones. • Bachelor's degree in Computer Science, Engineering, or equivalent work experience.

🏖️ Benefits

• Bonuses • Professional development opportunities

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