Geospatial Software Engineer with GCP

US Tech Solutions - Saint Louis, MO

Full-time

Saint Louis, MO

Administrative and Support Services

About the position

The software engineer will be responsible for building large-scale data processing systems and APIs, focusing on geospatial data assets. This role involves working with open-source technologies to manage and analyze vast amounts of data, driving innovative solutions in a high-throughput API/microservice ecosystem. The engineer will engage in all stages of the software life cycle, from proof of concept to production, while collaborating with internal development teams to enhance data accessibility for clients.

Responsibilities

• Design, build and support cloud and open-source systems to process geospatial data assets via an API-based platform
• Partner with internal development communities to integrate needed data sets into the asset and make data available to client Enterprise and internal development communities
• Build highly scalable APIs and associative architecture to support thousands of requests per second
• Provide leadership in advancing client understanding of environmental/external influences on field performance and risk factors
• Work at all stages of the software life cycle: Proof of Concept, MVP, Production, and Deprecation

Requirements

• Minimum of 2-year experience with Go, Python, Java, or similar development languages
• Extensive knowledge in different programming or scripting languages like Go, Scala, Java, Javascript, SQL, Bash, Python, and/or R
• Experience developing HTTP APIs (REST and/or GraphQL) that serve up data in an open-source technology, preferably in a cloud environment
• Ability to build and maintain modern cloud architecture, e.g., Google Cloud, AWS, etc.
• Experience working with PostgreSQL/PostGIS
• Experience with code versioning and dependency management systems such as GitHub, SVT, and Maven
• Proven success utilizing Docker to build and deploy within a CI/CD Environment, preferably using Kubernetes

Nice-to-haves

• Demonstrated knowledge of open-source geospatial solutions like GeoServer, GeoTrellis, GeoMesa
• Experience with stream processing, e.g., Kafka
• Highly proficient (4 years) in Golang
• Experience working with customers/other developers to deliver full-stack development solutions in an Agile environment
• Demonstrated knowledge of agriculture and/or agriculture-oriented businesses
• Experience implementing complex data projects with a focus on collecting, parsing, managing, and delivery of large sets of data to turn information into insights using multiple platforms
• Demonstrated experience adapting to new technologies
• Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures
• Experience creating cloud computing solutions and web applications leveraging public and private APIs
• Proven experience (2 years) with distributed systems, e.g. Argo, Kubernetes, Spark, distributed databases, grid computing
• Proficient (4+ years) working in a Command Line Interface system e.g Docker, Argo, K8s, AWS CLI, GCloud, pSQL, SSH