*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.
Key Responsibilities- 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
- 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
On-site or hybrid in Phoenix, AZ or Fort Worth, TX. Confirm the work arrangement with the hiring team.
Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.
Skills Required
- Strong hands-on experience with Python development
- Experience with Azure cloud technologies, including Azure ML and 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 such as GitHub Copilot
- Experience with Java and Spring Boot
- Experience with TensorFlow and machine learning model development or deployment
- Experience with containerization and orchestration, including Azure Container Apps or Kubernetes / IKS
- Familiarity with additional Azure services for data and machine learning workloads
- Experience working in agile, cross-functional teams
What We Do
When clients come to us for product design and development, they get a full range of technical expertise and laboratory resources, but they also get a team that’s relentless when it comes to solving problems and creating designs that are the ideal combination of function and form. What does that mean? We build tools that save lives. For surgeons, it means they have tools that not only address but anticipate their needs, which helps improve their patients’ outcomes. We create products that save money and ensure safety. For people juggling family, work, and other demands, it means they have products that provide real help in managing their everyday lives. And for businesses, it means their bottom line is supported with durable tools that improve efficiency and protect their teams. From concept to production plan, or at any phase in between, we are a partner that can extend your product development know-how or provide additional mindpower to free up in-house teams.
