The
Engineering Manager - Platform is HYBRID,
hands-on technical leader responsible for code quality, delivery execution, and engineering standards within one or more product areas. This role leads through
technical depth, strong delivery habits, and cross-functional collaboration, while remaining embedded in day-to-day engineering work.
The role requires a manager that can lead by example when it comes to coding. Manager are expected to code, usually on more complex projects. Expert in C#, Typescript, >NET, AZURE, and demonstrated experience using GitHub CopilotKey ResponsibilitiesTechnical Leadership & Code Quality- Contribute production code across backend and frontend services.
- Perform regular code reviews focused on design quality, performance, test coverage, and maintainability.
- Guide refactoring efforts and implementation of scalable, modular patterns.
- Troubleshoot complex issues across application, data, and cloud infrastructure layers.
Delivery Enablement- Partner with Product and QA to ensure features are technically feasible and delivery-ready.
- Identify and remove technical blockers during sprint execution.
- Support CI/CD health by addressing build failures, flaky tests, and deployment risks.
- Promote pragmatic agile practices that balance velocity with quality.
Tech Stack (Hands-On)- Frontend: Angular, TypeScript, JavaScript
- Backend: .NET Core, C#, Node.js
- Data: SQL Server, Cosmos DB, Azure Data Lake, Databricks
- Cloud & DevOps: Azure, Azure DevOps, GitHub Actions, Docker, Kubernetes
- Quality/Monitoring: SonarQube, Postman, Testim, Playwright, Azure Monitor, Power BI
Cross-Functional Collaboration- Work closely with QA on automation coverage and regression prevention.
- Partner with DevOps to improve build reliability, release readiness, and observability.
- Act as a technical escalation point for complex delivery or production issues.
AI-Augmented Engineering- Leverage GitHub Copilot, Microsoft Copilot, or similar tools to improve developer productivity.
- Support practical, responsible adoption of AI-assisted development and testing practices.
Mentorship - Mentor engineers through code reviews, design discussions, and technical guidance.
- Influence team standards and outcomes through credibility and example.
QualificationsRequired- 7+ years of professional software engineering experience in modern SaaS environments.
- Strong hands-on coding background with ability to review and improve production code.
- Solid understanding of cloud-native and distributed system architectures.
- Experience working in agile delivery teams with Product and QA.
- Working knowledge of CI/CD pipelines and DevOps best practices.
- Strong communication skills across technical and non-technical partners.
Preferred- Experience in high-growth or transformation-stage SaaS companies.
- Exposure to AI-assisted development tools.
- Familiarity with performance testing, observability, or SLA-driven systems.
- Azure-centric platform experience.
Success Indicators- High-quality, reliable code contributions and reviews.
- Improved build stability and reduced production defects.
- Predictable delivery outcomes within supported teams.
- Positive peer feedback on technical leadership and collaboration.
This position is not eligible for immigration sponsorship at this time.This is a hybrid role and you must reside in Atlanta GA.