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# Software Engineer

- **Company:** Eliassen Group
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, C Sharp (Programming Language), Continuous Integration, Data Stores, Relational Databases, Github, PostgreSQL, Microsoft SQL Server, MongoDB, NoSQL, Redis, Software Engineering, .NET Core, Backend, Kubernetes, Information Technology, Apache Kafka, Restful APIs, Terraform, Data Pipelines, Docker, Microservices
- **Published:** July 11, 2026
- **Apply:** https://dejobs.org/x/x/852BB98FBA0145739F084FA3A190291B/job/

## About the Role

* 5+ years of software development experience.
 * Experience with large-scale microservice application development and decomposing monoliths.
 * Proficiency with C#.
 * Working knowledge of at least one datastore technology across RDBMS (PostgreSQL, SQL Server) and NoSQL (MongoDB, Redis).
 * Ability to decompose requirements into components that can be released rapidly with a ship-often mindset.
 * Helpful experience, not required: Kafka, Terraform, Helm, GitHub Actions, REST, CI/CD.

Education Requirements:

Bachelor's degree in computer science, information technology, or a related field, or equivalent experience.

## Description

Our client connects hobbyists, small businesses, and enthusiasts through a community-driven marketplace that supports buyers and sellers across a specialized interest category. The CORE Platform team is responsible for catalog and order systems, sharing data through Kafka messaging, processing pipelines, and REST APIs hosted in AWS. You will contribute to new architectures, evolve systems, and support internal tooling for catalog operations while collaborating with teams to deliver iterative improvements., * Design and implement backend services, including microservices, datastores, APIs, and event streams for listings, inventory, and price systems using C#, .NET Core, Docker, and Kubernetes in AWS.

 * Ensure backend systems remain performant and scalable for growing data and load.
 * Partner with internal teams integrating with backend systems and ship iterative improvements based on requirements and feedback.
 * Decouple services from an existing monolithic application.


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