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Java+C# - Development Lead

Everest TechnologiesColumbus, OH🇺🇸United StatesPosted Sep 17, 2026

Why This Role Stands Out

This hybrid role at Everest Technologies offers a unique opportunity to lead cutting-edge development by bridging Java and C# using AI-assisted tools, providing significant growth and skill development. You'll thrive here if you have deep expertise in both languages and a passion for ensuring code parity, making this an excellent chance to advance your career.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Columbus, OH, United States
Posted
2 weeks ago
DockerMySQLSQLSQL ServerSpringSpring BootAWSAzureC#.NETASP.NETHibernateJavaKubernetesREST

Job Description

• Work across both Java and C# code in the IL4 codebase, moving between them as the work demands.
• Convert Java services to C# / .NET, using AI-generated first drafts as a starting point and finishing them by
hand to the client& C# patterns.
• Review AI-converted output for correctness, missed edge cases, hallucinated APIs, and behavior drift
between the Java original and the C# result.
• Map Java constructs to their .NET equivalents (Spring to ASP.NET Core, JPA/Hibernate or DAO/SQL to EF or
Dapper, Maven to NuGet).
• Preserve service contracts: REST endpoints, payloads, error handling, and config behave the same after
conversion.
• Write or port tests to prove functional parity before and after migration.
Must have qualifications:
• Deep, current Java: 8+ years production Java, current within the last 1-2 years. Spring Boot strongly
preferred. Can read unfamiliar Java and explain what it does and why.
• Strong C# / .NET: 5+ years hands-on C# and .NET Core / .NET 6+, ASP.NET Core Web APIs, dependency
injection, async/await.
• Real migration scars: Has personally converted or re-platformed code between different languages (not
just a framework version upgrade inside one language) and can describe what broke and how they proved
parity.
• Both languages current: Shipped production code in each within roughly the last two years, not one
current and one from a decade ago.
• Parity discipline: Proves equivalence with automated tests, not visual inspection.
Nice to have
• Hands-on use of AI coding tools for conversion or large refactors, with an honest view of where they fail.
• Interest in building the conversion harness: prompt templates, pattern libraries, parity test frameworks.
• Docker/Kubernetes, AWS or Azure, API gateways (Kong), MySQL and SQL Server

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