Вакансия из Hirify Global, списка международных tech-компаний
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Зарплата и рынок
$165к-180к/год
$140к$160кмедиана$200к
По похожим ролям (45) ~ $160к/год
На СНГ рынке: $3.9к/мес ($2.9к - $5.5к)
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Вакансия предлагает понятную зону ответственности, конкретные этапы и практическую работу с современными AI- и облачными системами, но охват сразу трёх продакшен-платформ может означать высокую нагрузку.
Full-stack Developer (Vue/AWS): Building and operating AI-assisted claims investigation platforms across Python and FastAPI services, React and TypeScript interfaces, .NET case management, video pipelines, and AWS serverless infrastructure with an accent on multimodal document processing, cross-platform integration, and production reliability. Focus on architecting legacy modernization, securing identity and file workflows, controlling AI costs, and leading engineering standards while remaining hands-on.
Location: Remote; Thomasville, North Carolina, US. Candidates in North Carolina, or able to be in Charlotte occasionally, are preferred.
Salary: $165,000–$180,000 per year.
Company
National claims investigation software provider building platforms for claim intake, case management, secure video, and AI-assisted analysis on AWS.
What you will do
Own APIs, infrastructure, and user interfaces across development, QA, and production.
Build and operate Python and FastAPI services using Amazon Bedrock, including multimodal models for document extraction and investigative service recommendations.
Maintain AWS infrastructure using SAM and CloudFormation across API Gateway, Lambda, Aurora PostgreSQL Serverless, S3, SQS, DynamoDB, and ECS.
Architect and modernize the .NET 8 case-management platform and guide the video API, Angular front end, and Python GPU search service.
Own cross-platform integration, including single sign-on, case and video linkage, and data flows between systems.
Set engineering standards, lead architecture reviews, coach engineers, support hiring and onboarding, and partner with operations and leadership on priorities, estimates, risks, and tradeoffs.
Requirements
12 or more years of professional software engineering experience, including technical ownership of production systems.
Player-coach experience combining substantial production delivery with technical leadership and mentoring.
Strong production experience with C#/.NET, ASP.NET Core, Python, and FastAPI or a comparable framework.
Strong TypeScript experience and experience with at least one of React, Vue, or Angular, with the ability to review work in the others.
Deep AWS experience including ECS, Lambda, API Gateway, S3, DynamoDB, RDS or Aurora, CloudFront, SQS, Step Functions, IAM, and VPC networking.
Experience with infrastructure as code, containerized deployment, and performance tuning in SQL Server and PostgreSQL.
Experience with OIDC, OAuth2, JWT, cross-application single sign-on, least-privilege IAM, and secure file handling.
Proven ability to modernize a legacy system without stopping business operations.
Clear written and verbal communication, including explaining tradeoffs to non-engineers.
Nice to have
Production generative AI experience, ideally Amazon Bedrock, including multimodal prompting, evaluation, document extraction, and cost control.
Experience with video or media pipelines, HLS, MediaConvert, CloudFront signed access, and S3 lifecycle or archival strategies.
Computer vision or GPU workload experience with technologies such as InsightFace, ONNX Runtime, CUDA, or GPU containers on ECS.
Experience with Azure DevOps, GitHub workflows, NetSuite, Twilio, or Microsoft Graph.
Insurance, claims, investigations, or another regulated domain involving sensitive personal data and evidence.
Experience using AI-assisted development tools to improve individual and team output.
Culture & Benefits
Remote work arrangement with occasional Charlotte presence preferred for candidates in North Carolina.
Individual-contributor role with a path toward broader player-coach leadership.
Close collaboration with development partners, operations, leadership, and the CTO.
Human review is required for every AI output before use.
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