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Lead Backend Engineer (SQL Server/.NET)

119 030 - 165 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Backend Engineer (SQL Server/.NET): Modernizing the system-of-record platform for claims management by refactoring stored procedures, optimizing SQL Server performance, and evolving legacy .NET code into domain-aligned services with an accent on safe migrations and production stability. Focus on designing migration seams, improving data-intensive workflows, and implementing observability, deployment safety, and incident-response practices across a multi-year transformation to service-oriented architecture.

Location: Hybrid in Chicago (Green St), IL, United States

Salary: $119,030.52–$165,000.00 per year; bonus and/or commission eligible

Company

hirify.global provides a cloud platform for the insurance economy, supporting insurers, repairers, automakers, part suppliers, and claims and repair workflows with AI-enabled technology.

What you will do

  • Analyze, optimize, decompose, and document complex SQL Server stored procedures, including query tuning, indexing, execution-plan analysis, and data-access optimization.
  • Design backward-compatible schema changes, safe rollout and rollback patterns, facades, wrappers, and anti-corruption layers for gradual business-logic extraction.
  • Refactor legacy .NET Framework code into maintainable, testable, domain-aligned modules and services with clear contracts.
  • Establish dependency injection, observability, error-handling, performance baselines, regression detection, alerting, diagnostic tooling, and runbooks.
  • Participate in data and performance incident response and collaborate with SRE/DevOps on blue/green deployments, feature flags, and canary releases for schema changes.

Requirements

  • 8+ years of professional software development experience in object-oriented languages, with C#/.NET required.
  • Expert-level SQL Server 2019 knowledge, including advanced query optimization, execution plans, index tuning, query hints, stored procedures, functions, triggers, database design, and normalization.
  • Experience with performance tuning at scale across multi-million-row tables, complex joins, aggregations, clustered, non-clustered, filtered, and columnstore indexes.
  • Knowledge of SQL Agent jobs, automated workflow patterns, transaction isolation levels, locking, concurrency management, and SQL source control for migrations and schema or stored-procedure versioning.
  • Experience with C# and .NET Framework/.NET Core and with refactoring established systems while maintaining production stability.

Nice to have

  • Practical experience with strangler fig, anti-corruption layer, and facade patterns, including migrating production logic from stored procedures to a service layer.
  • Familiarity with domain-driven design concepts such as bounded contexts, aggregates, and repositories.
  • Experience with Azure SQL Database and Azure DevOps.
  • Experience with Application Insights, SQL Profiler, REST and OpenAPI/Swagger API design and versioning.
  • Experience with xUnit, NUnit, test data builder patterns, and PowerShell database scripting or automation.
  • Experience with microservices, event-driven patterns, Entity Framework Core, Dapper, or other ORMs, including choosing native SQL when appropriate.

Culture & Benefits

  • Values include integrity, customer focus, innovation, inclusion and diversity, tenacity, and connection.
  • Benefits include a 401(k) match, paid time off, annual incentive plan performance bonus, comprehensive health insurance, adoption assistance, tuition reimbursement, wellness programs, and stock purchase plan options.
  • Employee Resource Groups and an inclusive environment where diverse perspectives and employee contributions are valued.

Hiring process

  • A video interview is required and interviews are transcribed and retained for review by CCC and its recruiters.
  • Generative AI or automated assistance is not permitted during interviews unless explicitly allowed for a specific exercise.

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