Senior Engineering Manger

MTech Systems•Atlanta, GA

3d•Hybrid

About The Position

We are seeking a technically proficient and execution-focused Senior Engineering Manager – Engineering to drive high-performance software delivery across our global engineering organization. This role is embedded within the engineering function and is responsible for ensuring code quality, delivery velocity, and cross-functional alignment across time zones and cultures. The ideal candidate is hands-on with industry leading development tools, fluent in agile delivery practices between onsite and offshore distributed teams, and passionate about building scalable, high-quality systems in a fast-growing SaaS environment.

Responsibilities

Technical Execution & Code Quality
Lead and participate in daily code reviews across frontend and backend repositories to ensure adherence to engineering standards and architectural principles.
Investigate and resolve build failures, test regressions, and deployment issues in CI/CD pipelines.
Validate pull requests for performance impact, test coverage, and maintainability.
Collaborate with engineers to refactor legacy code and implement scalable, modular patterns as part of architectural improvements in the product.
Tech Stack & Tooling Oversight
Operate fluently across a modern full-stack environment: 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 Monitoring & Quality : SonarQube, Postman, Testim, Azure Monitor, Power BI AI & Automation: GitHub Copilot, MS Copilot, internal AI agents for test generation and productivity tracking
Global Delivery Management
Own sprint execution, backlog health, and delivery velocity across distributed engineering teams in the US, LATAM, and other global regions.
Coordinate across time zones to ensure seamless handoffs, shared accountability, and consistent delivery practices.
Standardize engineering rituals (standups, retros, demos) and enforce agile discipline across pods.
Ensure that global teams are aligned on delivery goals, technical standards, and release readiness.
Own and lead defect tracking, classification and assignment in the development team.
Drive a culture of “first-time-right” engineering and continuous improvement.
Metrics-Driven Performance Management
Define and track KPIs such as: PR throughput and merge frequency Test coverage and automation rates Bug resolution time and SLA adherence Develop velocity and utilization Capacity management productivity & utilization
Cross-Functional Integration
Partner with QA to ensure test plans, automation coverage, and regression suites are aligned with delivery goals.
Collaborate with Data Science and Product teams to ensure technical feasibility and delivery readiness of new features.
Coordinate with DevOps to maintain build health, deployment reliability, and observability standards.
Serve as the first line of escalation for blockers, delivery risks, and cross-team misalignments.
Use GitHub, Azure DevOps, Harvest, and internal dashboards to monitor and report on delivery health.
AI-Augmented Delivery
Champion the adoption of AI-assisted development practices across engineering teams.
Leverage AI tools to: Generate test cases and performance benchmarks. Analyze productivity trends and delivery bottlenecks. Automate reporting and alerting for delivery health.
Leadership, Communication & Team Enablement
Act as a trusted partner to engineering leadership, providing clear, data-backed insights into delivery health and team performance.
Mentor team leaders and senior engineers deliver the best practices, architecture, and performance optimization.
Identify underperforming contributors and lead performance improvement plans or transitions.
Support hiring, onboarding, and upskilling of engineering talent across regions.
Foster a culture of ownership, transparency, and collaboration across global teams.