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Nasdaq · 1 week ago

Software Developer Specialist

Atlanta, GA

Full-time

Hybrid

Senior Level

5+ years exp

Nasdaq is looking for an experienced Software Developer Specialist to join their team, focusing on building innovative client-facing SaaS applications. The role involves full-stack development, utilizing modern tools and frameworks to support institutional investing.

FinanceFinancial ServicesStock ExchangesTrading Platform

Culture & Values

No H1B

U.S. Citizen Only

Responsibilities

Design and build scalable, secure, and high-performing software solutions for both front-end and back-end

Write production-ready code using C#, .NET/.NET Core, Vue.js, and relational databases like MSSQL and PostgreSQL

Build and maintain cloud-based microservices on AWS, managing infrastructure with Terraform

Work closely with a global team to enhance development efficiency by automating build, test, and deployment workflows, ensuring rapid and reliable code integration and delivery

Review code quality, troubleshoot issues, and mentor teammates to help them grow

Explore and integrate various AI tools to enhance development workflows

Qualification

C#.NET CoreAWSTerraformVue.jsSQL databasesMicroservicesAgilePassionate about technologyCollaborationDetail-oriented

Required

A Bachelor's degree in Computer Science, Information Systems, or equivalent work experience

5+ years of full-stack software development experience

Strong skills in server-side programming (e.g., C#, Java) and modern front-end JavaScript frameworks (e.g., Vue, Angular, React)

Hands-on experience with cloud infrastructure, including AWS and Infrastructure-as-Code (IaC) tools such as Terraform for provisioning and managing environments

Experience with SQL databases (flexible across major relational systems)

Familiarity with common development tools and practices (version control, Visual Studio, Agile)

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

Preferred

AI‑driven development: experience with prompt engineering, working with LLMs (e.g., ChatGPT, Claude), and familiarity with agentic workflows and RAG‑based search

Knowledge of microservices, containerization (Docker), and DevOps tools (Jenkins)

Proficiency with automated testing frameworks (e.g., XUnit, Cypress) and experience validating AI models