Senior Engineering Manager

At MTech Systems, our company mission is to increase yield in protein production to help feed the growing world population without compromising animal welfare or damaging the planet. We aim to create software that delivers real-time data to the entire supply chain that allows producers to get better insight into what is happening on their farms and what they can do to responsibly improve production.

MTech Systems is a prominent provider of tools for managing performance in Live Animal Protein Production. For over 30 years, MTech Systems has provided cutting-edge enterprise data solutions for all aspects of the live poultry operations cycle. We provide our customers with solutions in Business Intelligence, Live Production Accounting, Production Planning, and Remote Data Management—all through an integrated system. Our applications can currently be found running businesses on six continents in over 50 countries. MTech has built an international reputation for equipping our customers with the power to utilize comprehensive data to maximize profitability.

With over 250 employees globally, MTech Systems currently has main offices in Mexico, United States, and Brazil, with additional resources in key markets around the world. MTech Systems USA’s headquarters is based in Atlanta, Georgia and has approximately 90 team members in a casual, collaborative environment. Our work culture here is based on a commitment to helping our clients feed the world, resulting in a flexible and rewarding atmosphere. We are committed to maintaining a work culture that enhances collaboration, provides robust development tools, offers training programs, and allows for direct access to senior and executive management.

Job Summary

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 and Duties

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.

Education and Experience

• 8+ years of experience in software engineering or technical program management, with 3+ years in delivery leadership role in global SaaS and high growth tech companies.
• Strong coding background with ability to review, debug, and optimize production code.
• Deep familiarity with modern web and cloud-native architectures.
• Experience with AI tools like GitHub Copilot, MS Copilot, or internal agentic systems.
• Proven success in managing cross-functional delivery across Engineering groups and coordination with QA and DevOps.
• Professional proficiency in Spanish (Bonus)
• Proficiency in GitHub, Azure DevOps, Harvest, and performance monitoring tools.
• Excellent communication skills with the ability to influence across technical and non-technical stakeholders.
  

Preferred Skills

• Experience in high-growth, transformation-stage, or PE-backed SaaS companies.
• Exposure to AI agent orchestration, RAG pipelines, or intelligent automation frameworks.
• Familiarity with performance testing, SLA enforcement, and observability practices.
• Experience leading distributed teams across multiple time zones and cultures.
  

EEO Statement
Integrated into our shared values is MTech’s commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. MTech aims to maintain a global inclusive workplace where every person is regarded fairly, appreciated for their uniqueness, advanced according to their accomplishments, and encouraged to fulfill their highest potential. We believe in understanding and respecting differences among all people. Every individual at MTech has an ongoing responsibility to respect and support a globally diverse environment.