Software Engineer - Data/Opensearch

Description Hybrid in Charlotte, NC Our client seeks a senior software engineer to build and operate the software, data, and metadata foundations of a Data Marketplace platform. The role focuses on Python services, AWS infrastructure automation with Terraform, and OpenSearch-based search and AI/ML capabilities. The engineer will collaborate across platform, data, and security teams to deliver scalable, observable solutions and mentor peers while maintaining engineering standards. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $100.00/hr. w2

JN -052026-106719

#LI-JS1

Responsibilities Design, develop, and maintain Python-based services, Lambda functions, and data pipelines. Provision and manage AWS infrastructure using Terraform with modular, secure, and maintainable patterns. Build and operate AI/ML and search on Amazon OpenSearch, including vector search, semantic retrieval, and LLM workflow integration. Collaborate with data, platform, and security teams across AWS services including Lambda, API Gateway, Glue, S3, DynamoDB, IAM, and VPC. Modernize Dynatrace alarming using Terraform and Python. Enforce code quality with reviews, automated testing, CI/CD, and observability. Mentor junior engineers and contribute to architecture and technical standards. Evaluate ambiguous requirements and select effective solutions. Operate as a self-starter, conduct research, and present solution tradeoffs clearly. Experience Requirements 5+ years of professional software development experience with hands-on coding. Strong Python proficiency including type hints, unit testing with unittest or pytest, and packaging. Terraform for AWS Infrastructure as Code. Experience with GitHub and Confluence. Amazon OpenSearch expertise including index design, query DSL, and vector or k-NN search. AI/ML experience with embeddings, RAG patterns, foundation models, and ML model integration. Proficiency with AWS services including DynamoDB, Glue, IAM, S3, API Gateway, and Lambda. Collibra or integration with enterprise data catalog or governance platforms (preferred). Kafka or other event-driven architecture (preferred). AWS Lake Formation (preferred). #J-18808-Ljbffr Eliassen Group