Lead Software Engineer - Solutions

We’re tackling one of humanity’s biggest challenges: feeding a growing population sustainably. Our AI-powered platform gives producers real-time insight to boost yield, improve animal welfare, and protect the planet.

Join us and build technology that truly impacts the world.

MTech Systems is seeking a
Lead Solutions Engineer
to drive the
technical delivery of enterprise-scale customer implementations
of our core SaaS platform. This role is a
hands-on technical leadership position
, focused on solution design, integration quality, and execution through go-live.

The Lead Solutions Engineer partners closely with Product, Core Engineering, QA, DevOps, and Customer teams to ensure customer-specific solutions are
technically sound, scalable, and operationally ready
, while remaining actively involved in design, problem-solving, and delivery execution.

Key Responsibilities

- Enterprise Solution Delivery
- Own the
technical execution
of complex customer implementations from planning through go-live.
- Lead solution design, integration planning, dependency management, and technical risk assessment.
- Ensure readiness across environments, integrations, testing, data migration, and operational handoff.
- Support UAT execution, cutover planning, and post–go-live stabilization.

Solution Architecture & Technical Oversight

• Design and validate customer-specific solution architectures aligned to core platform standards.
• Review integration patterns, customization requirements, and data flows for scalability and maintainability.
• Serve as a technical escalation point for complex implementation and integration issues.
• Step in hands-on when required to troubleshoot, prototype, or validate solutions.

Cross-Functional Collaboration

• Partner with Product and Core Engineering to balance customer needs with platform integrity.
• Work closely with QA on test planning, validation strategy, and release readiness.
• Collaborate with DevOps on deployment planning, environment readiness, and observability.
• Communicate technical risks, tradeoffs, and delivery status clearly to stakeholders.

Delivery Discipline & Quality

• Promote consistent engineering and delivery standards across implementation efforts.
• Proactively identify delivery risks and lead mitigation before customer impact.
• Help insure smooth transition from implementation to long-term operational support.

AI‑Assisted Delivery (Practical)

• Leverage tools such as GitHub Copilot or Microsoft Copilot to improve solution development and testing.
• Apply AI tools pragmatically to support analysis, validation, or documentation where valuable.

Technical 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

Qualifications

- Required
- 7+ years of experience in software engineering, solutions engineering, or technical delivery roles.
- Strong technical background with the ability to design, review, and assess implementation solutions.
- Proven experience supporting
enterprise systems integrations or large-scale implementations
.
- Experience working cross-functionally with Engineering, Product, QA, DevOps, and customer-facing teams.
- Strong communication skills with the ability to explain complex technical concepts clearly.

Preferred

• Experience in SaaS, enterprise platforms, or data-heavy systems.
• Exposure to Azure-based architectures.
• Experience supporting customer-facing delivery or post-sales implementations.
• Familiarity with AI-assisted development or automation tools.

This position is not eligible for immigration sponsorship at this time.

This is a hybrid role and you must reside in Atlanta GA.