Software Modernization Lead Engineer

Jobtailor; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a senior software engineer to drive AI-based modernization of legacy systems in a Santa Clara, CA setting. You will design scalable processes, pioneer generative AI-based code translation, and implement multi-agent AI workflows for code analysis.

Responsibilities include automated verification for AI-generated code, integrating AI tools for testing, and ensuring security and performance across deployments in cloud and on-premise environments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field.
• 8+ years in software engineering.
• Minimum 3 years in AI application development.
• Hands-on experience with multi-agent AI workflows for code analysis and logic extraction.
• Deep expertise in modern languages (C#, ASP.NET Core, Python, Java, Go).
• Strong familiarity with legacy enterprise environments (WPF, WCF, ASP, C++, C#, or mainframe architectures).
• Experience with Kubernetes, containerization, microservices, hybrid edge-to-cloud topologies, and major cloud providers (AWS, Azure).
• Advanced knowledge of automated pipelines and Infrastructure as Code (IaC).
• Familiarity with both Windows and Linux environments and database technologies.
• Excellent communication skills.

Responsibilities

• Drive the digital transformation of legacy systems.
• Design standardized, scalable processes and tools to accelerate developer productivity.
• Pioneer the use of generative AI and autonomous AI agents to automate code translation.
• Develop and implement multi-agent AI workflows for code analysis.
• Establish automated verification frameworks to ensure AI-generated code security and performance.
• Integrate AI tools for automated testing.

Skills

AI workflow development

Multi-agent AI

Code analysis

Software engineering

Communication

C#/.NET

ASP.NET Core

Python

Java

Go

Kubernetes

Containerization

Infrastructure as Code

AWS

Azure

WPF/WCF

Mainframe architectures

Education

Bachelor's or Master's degree in Computer Science/Software Engineering

Tools

Kubernetes

Containerization

IaC

AWS

Azure

Job description

Responsibilities

• Drive the digital transformation of legacy systems
• Design standardized, scalable processes and tools to accelerate developer productivity
• Pioneer the use of generative AI and autonomous AI agents to automate code translation
• Develop and implement multi-agent AI workflows for code analysis
• Establish automated verification frameworks to ensure AI-generated code security and performance
• Integrate AI tools for automated testing

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field
• 8+ years in software engineering
• Minimum 3 years in AI application development
• Hands‑on experience with multi‑agent AI workflows for code analysis and logic extraction
• Deep expertise in modern languages (.NET C#, ASP.NET Core, Python, Java, Go)
• Strong familiarity with legacy enterprise environments (WPF, WCF, ASP, C++, C#, or mainframe architectures)
• Experience with Kubernetes, containerization, microservices, hybrid edge‑to‑cloud topologies, and major cloud providers (AWS, Azure)
• Advanced knowledge of automated pipelines and Infrastructure as Code (IaC)
• Familiarity with both Windows and Linux environments and database technologies
• Excellent communication skills