Senior Software Engineer

Infosys
Phoenix, AZ, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$80,000.0 - $90,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Microsoft Azure Cloud Computing Cloud Database Software Quality Code Review Continuous Integration Data Systems Programming Tools Github IBM Cloud Computing
+18 more
Python (Programming Language) Machine Learning Tensorflow Azure Machine Learning Shell Script SQL Databases Data Processing GitHub Copilot Spring-boot Fastapi Containerization Data Lakes Kubernetes Machine Learning Operations Software Version Control Data Pipelines Container Apps Databricks

Job description

*Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. *, American United is hiring Senior Engineers to design, build, and deploy cloud-based data and application solutions. You’ll work primarily in Python on Azure, with Databricks and modern DevOps practices, and you’ll use AI-assisted developer tools to deliver high-quality software faster. Some positions also involve Java and Spring Boot or machine learning workloads., * Design, develop, test, and maintain Python applications and data pipelines

  • Build and manage data solutions using Databricks and Delta Lake
  • Deploy and operate workloads on Azure (Azure ML, Azure Container Apps) or IBM Cloud / IKS, depending on the team
  • Write and optimize SQL queries and shell scripts to support data processing and automation
  • Develop and maintain Java / Spring Boot services (select positions)
  • Build and train machine learning models with TensorFlow (select positions)
  • Create and maintain CI/CD pipelines using GitHub and GitHub Actions
  • Use AI-assisted developer tools to improve productivity, code quality, and delivery speed
  • Participate in code reviews, design discussions, and agile team ceremonies
  • Troubleshoot and resolve production issues, and document solutions and best practices

Requirements

  • Strong, hands-on experience with Python development
  • Experience with Azure cloud technologies (Azure ML, Azure Container Apps) or IBM Cloud / IKS
  • Working knowledge of Databricks and Delta Lake
  • Proficiency in SQL and shell scripting
  • Experience with GitHub and GitHub Actions for source control and CI/CD
  • Familiarity with AI-assisted developer tools (e.g., GitHub Copilot), * Experience with Java and Spring Boot
  • Experience with TensorFlow and ML model development or deployment
  • Experience with containerization and orchestration (Azure Container Apps, Kubernetes / IKS)
  • Familiarity with additional Azure services relevant to data and ML workloads
  • Experience working in agile, cross-functional teams

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