About Us:
insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics. We deliver finance teams the insights required to navigate any economic climate and drive greater financial intelligence, while increasing productivity, visibility, accuracy, and compliance. Learn more at insightsoftware.com.
Job Description:
As a Senior Engineer in Application Engineering, you will provide day-to-day technical leadership within a small application development scrum team focused on building new features and enhancing current capabilities within the Certent Equity Management (CEM) platform for a large, strategic enterprise client engagement. Reporting to the Lead Engineer, you will split your time between writing and reviewing code and contributing to team leadership activities — helping set priorities, unblocking teammates, supporting scrum ceremonies, and upholding high-quality delivery standards.
This is an individual contributor role with strong technical leadership scope. The right candidate is a seasoned engineer who leads by doing — someone whose technical credibility earns the team's respect and whose organizational discipline keeps delivery on track. You will be a daily technical resource for your squad, partnering closely with the Lead Engineer and Sr Engineering Manager on delivery planning and escalations, and interfacing with client stakeholders at key points in the delivery lifecycle.
You will bring an AI-first mindset — not just complying with organizational AI adoption targets, but genuinely integrating agentic development tooling into how you work every day.
Responsibilities
Technical Leadership & Delivery
- Serve as a technical resource for your scrum team — contributing to day-to-day engineering decisions, upholding the bar for code quality, and helping ensure 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.
- Support sprint ceremonies: planning, refinement, daily standups, demos, and retrospectives.
- Help set daily priorities for the team; actively unblock teammates by removing dependencies, clarifying requirements, and resolving technical ambiguity.
- Uphold engineering standards — unit testing, code review discipline, definition of done, and release readiness.
AI-First Engineering
- Champion ≥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 encouraging teammates to do the same.
- Push 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 Lead Engineer and Sr Engineering Manager.
Client Engagement & Requirements
- 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 Lead Engineer, Sr Engineering Manager, and Product Management to ensure work is well-defined, properly scoped, and sequenced for delivery.
Cross-Functional Collaboration
- 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 Senior and Lead Engineers on cross-team technical decisions and standards.
- Surface delivery risks, technical blockers, and scope concerns to the Lead Engineer and Sr Engineering Manager early and clearly.
Qualifications
Required
- 6-8+ years of hands-on software engineering experience in enterprise SaaS environments, with demonstrated experience contributing technical leadership within a scrum team.
- 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 contribute technical leadership within a scrum team — helping set priorities, supporting ceremonies, and upholding quality standards.
- 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.
Preferred
- Familiarity with .NET modernization patterns — experience working across legacy ASP.NET Web API (.NET Framework) and modern ASP.NET Core services in parallel.
- Experience with schema migration tooling such as Liquibase, including changeset management, rollbacks, and CI/CD pipeline integration.
- Familiarity with observability and monitoring tooling — Serilog, Datadog APM, or Application Insights.
- Experience with containerization tooling — Docker, Podman, or similar.
- Experience with background job scheduling patterns (Hangfire or similar).
- Experience working across multi-repo, multi-product platforms sharing a common database and internal NuGet package ecosystem.
- Background in financial services, equity compensation, or adjacent regulated domains.
- Certified Scrum Master (CSM) or equivalent Agile certification.
- Experience mentoring mid-level engineers into senior roles.
Additional Information
All your information will be kept confidential according to EEO guidelines.
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