We operate at significant scale using cutting-edge technology:
- Millions of API requests per day
- Cloud-native systems running in Microsoft Azure
- Modern .NET (including .NET 8 and newer)
- Containerized workloads with Docker and Kubernetes
- CI/CD pipelines and code management in GitLab
- Observability and monitoring through tools like Azure App Insights and Datadog
We follow agile development practices with short feedback loops, iterative delivery, and a strong culture of ownership. Engineers participate in backlog refinement, sprint planning, architectural discussions, and retrospectives — with real influence over technical direction and prioritization.
We intentionally leverage AI-powered tools and automation to enhance engineering productivity, improve code quality, strengthen observability, and accelerate delivery. We continuously evaluate how AI can enhance both our development workflows and the intelligent capabilities of the platforms we build.
We own our architecture end-to-end — from design to deployment to production operations. This is a team for engineers who want real technical ownership, real scale, and real-world impact.
Job Purpose
As a Senior Software Engineer on the API & Infrastructure team, you will design and build distributed, cloud-native systems that power precision agriculture at global scale.
This role is not just limited to implementing tickets. You will:
- Help to architect highly available, resilient APIs serving millions of requests daily
- Design scalable data access patterns across relational, NoSQL, and object storage systems
- Drive technical direction for cloud-native application development in Azure
- Contribute to and help evolve our agile engineering practices
- Own services from concept through deployment and production operations
- Mentor engineers while raising the technical bar across the team
- Provide recommendations and AI-assisted workflows on tooling to increase productivity and delivery speed
You will play a key role in shaping the backbone that connects agricultural machines in the field to customer-facing applications and advanced analytics platforms in the cloud.
Key Responsibilities
Architecture & System Design
- Design and implement scalable, highly available RESTful APIs using C# and modern .NET
- Define and evolve service architectures supporting high throughput and low latency
- Make informed decisions around distributed systems tradeoffs (consistency, availability, scalability)
- Collaborate with internal stakeholders to define reliable data contracts and service boundaries
Cloud & Infrastructure Ownership
- Build and maintain cloud-native services in Microsoft Azure
- Containerize applications using Docker
- Design and maintain CI/CD pipelines in GitLab
- Implement infrastructure patterns that support resiliency, fault tolerance, horizontal scalability, and cost efficiency
Performance, Reliability & Observability
- Optimize APIs for performance under heavy load— including the seasonal spikes that come when millions of acres of equipment hit the field simultaneously during planting and harvest
- Implement structured logging, tracing, and monitoring using tools such as Datadog
- Participate in production support and incident response
- Continuously improve system reliability and operational maturity
Engineering Excellence
- Write clean, maintainable, well-tested code
- Conduct thoughtful code reviews and mentor junior engineers
- Lead or influence technical initiatives across teams
- Contribute to architectural standards and long-term technical strategy
- Champion automation, AI-assisted development practices, and continuous improvement
Experience Required
- Experienced engineer with 5+ years of career experience, with Bachelor’s degree. 3+ years experience with Master’s degree.
- Or equivalent combination of education and experience.
- Demonstrated leadership abilities.
- Capable of defining appropriate approaches and solutions.
- Furthers knowledge of profession through continued education and/or seeking or providing mentorship.
Preferred Qualifications
- Strong experience with C#, ASP.NET Core, and modern .NET
- Experience building cloud-native applications (preferably in Microsoft Azure or AWS)
- Experience with Git-based version control systems (GitLab, Azure DevOps, or similar)
- Experience with relational databases (preferably SQL Server) and data modeling
- Experience designing and consuming RESTful APIs
- Experience with CI/CD pipelines and DevOps practices
- Experience with unit testing frameworks (NUnit, xUnit, MSTest, or similar)
- Experience working in an Agile team environment
- Familiarity with agricultural technology, telemetry systems, or data-intensive platforms is a plus
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