Design, build, and maintain scalable, secure backend services and REST/GraphQL APIs. Integrate data pipelines, apply CI/CD and containerization (Docker/Kubernetes), write unit/integration tests, monitor performance, troubleshoot issues, and document API specs while collaborating with cross-functional teams.
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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