Software Engineer II - Software Engineering

The hiring client is confidential. The role develops and supports software and data products for precision agriculture, including backend services, data pipelines, cloud infrastructure, and production operations.

Responsibilities:

• Develops, codes, configures, and tests programs and systems
• Evaluates and implements enhancement design solutions to improve cost, quality, and performance of software applications
• Analyzes assignments and determines software specifications that must be fulfilled to achieve objectives
• Executes necessary documentation, as directed, or needed
• Collaborates with other relevant stakeholders and team members to ensure that features meet business needs
• Follows industry-standard agile software design methodology for development and documentation
• 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

Requirements:

• Ability to analyze, translate, and define business requirements into technical solutions
• Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation
• Ability to apply engineering principles and concepts for designs
• Ability to manage many competing priorities/requests in a fast-paced environment
• Degree in an Engineering/Technology discipline or equivalent experience
• Degree in an Information Technology discipline or equivalent experience
• Previous experience in programming/software development
• Software development processes experience
• Participating in Agile Development
• Experience working in an Agile Environment
• 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
• 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