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# LoopNet - Software Engineer II

- **Company:** CoStar Group
- **Location:** Orange County, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $118,000.0 - $154,000.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, .NET Framework, Amazon S3, BigQuery, Continuous Integration, Information Engineering, Relational Databases, DevOps, Distributed Systems, Amazon DynamoDB, Python (Programming Language), Microsoft SQL Server, MySQL, Performance Tuning, E2e Testing, Software Construction, TypeScript, Datadog, .NET Core, GitHub Copilot, ReactJS, Amazon ElastiCache, Snowflake, Software Security, Backend, Vue.js, Git Flow, Solid Principles, Kubernetes, Infrastructure Automation Frameworks, Apache Kafka, Api Design, Amazon Simple Queue Service (SQS), Docker, Databricks, Microservices
- **Published:** July 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=51f6585eaae3edd6

## About the Role

* Bachelor's degree from an accredited, not-for-profit university or college.
 * A demonstrated track record of commitment with prior employers.
 * 7+ years of production development experience with C# and .NET or .NET Core.
 * Proven history of building and launching successful products and platforms.
 * Experience delivering products that meet specifications and performance SLAs.
 * Solid experience writing unit, performance, and automated end-to-end tests
 * Strong experience building APIs and backend systems with a solid grasp of software design principles.
 * Deep understanding of the business context for which you are building software.
 * Active participation in mentoring developers and building team consensus.

PREFERRED QUALIFICATIONS:

 * Working knowledge of Vue.js or React in TypeScript.
 * Experience with relational database design (MS SQL or MySQL), including performance tuning.
 * Hands-on experience with AWS services including S3, SQS, DynamoDB, and ElastiCache, as well as Apache Kafka and Datadog.
 * Experience with microservices, distributed systems, Docker, and Kubernetes.
 * Familiarity with CI/CD pipelines, DevOps practices, and Infrastructure as Code tools.
 * Application security knowledge and experience with Git-based workflows.
 * Hands-on professional experience with AI coding tools such as Claude Code, GitHub Copilot, or equivalent.
 * Experience with cloud data warehouse platforms (BigQuery, Databricks, or Snowflake) and proficiency in Python for data engineering or analytics workflows.



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