Senior Software Engineer

They would like someone who is able to come onsite if needed.

Senior Software Engineer – Data Products & Cloud Solutions

We are looking for a highly technical Senior Software Engineer to join the Compass team and help design, build, deploy, and support production data products and services for precision agriculture.

The Compass team develops software and infrastructure that turns machine, agronomic, geospatial, logistics, and other data into production capabilities. Our work spans backend APIs, event-driven data pipelines, cloud infrastructure, databases, Databricks integrations, monitoring, and operational tooling.

We are looking for someone who is comfortable working across technologies, can independently solve ambiguous technical problems, and can take a capability from initial design through production deployment and support. This role will work closely with software engineers, data scientists, product teams, and partner engineering teams.

Essential Attributes / Experience

Excellent Python development skills with production software deployment experience

Strong experience designing and developing REST APIs, backend services, and data-processing applications

Strong understanding of AWS, including services such as Lambda, API Gateway, IAM, S3, SQS, EventBridge, and RDS/Aurora

Experience with relational databases, particularly PostgreSQL

Experience building and maintaining Infrastructure as Code, preferably Terraform

Experience with CI/CD, automated testing, and Git/GitHub development practices

Strong troubleshooting skills across application, data, infrastructure, and integration layers

Ability to independently investigate complex problems, propose solutions, and deliver production-quality implementations

Strong communication skills and ability to work across engineering, data science, product, and business teams

Experience improving systems for scalability, reliability, security, performance, and cloud cost efficiency

Preferred Attributes

Experience with Databricks, Spark, PySpark, SQL, Delta Lake, or similar data platforms

Experience with event-driven and serverless architectures

Experience with Docker and containerized applications

Experience with DBMate, Pydantic, AWS Lambda Powertools, or similar Python frameworks

Experience with authentication and authorization patterns such as AWS IAM and OAuth/OIDC

Experience with observability platforms such as Datadog

Experience processing machine, agricultural, logistics, or other high-volume data

Experience with GitHub Actions and automated cloud deployments

Example Responsibilities (Including but not limited to):

Architect and implement new AWS and Databricks-based solutions while improving existing Compass services for scalability, reliability, and maintainability

Design, build, and maintain Python REST APIs, Lambda functions, backend processes, and event-driven services

Build pipelines that ingest, transform, process, and persist machine, agronomic, geospatial, logistics, and other data

Build and maintain AWS infrastructure using Terraform

Design and support PostgreSQL/Aurora databases, including schemas, migrations, application connectivity, and performance

Build solutions supporting both real-time/event-driven workloads and scheduled batch processing

Develop and support Databricks integrations and data-processing workflows as needed by Compass products

Create and maintain CI/CD pipelines using GitHub Actions, including automated testing and application/infrastructure deployment

Implement and improve logging, metrics, dashboards, monitoring, and alerts using Datadog

Troubleshoot production issues across APIs, databases, queues, cloud infrastructure, data-processing jobs, and external integrations

Identify opportunities to improve system performance, scalability, reliability, and cloud cost

Notes:

Remote / Onsite They would like someone who is able to come onsite if needed.

VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status