Senior AI Software Engineer & Tech Lead

EY

Austin (TX)

Hybrid

USD 134,000 - 258,000

Full time

32 hours ago
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Benefits offered by this job

Hybrid work model
Comprehensive benefits
Competitive compensation

Job summary

EY is seeking a senior software/platform engineer in Austin, TX to lead design, development, delivery, and maintenance of innovative solutions. You will drive AI-forward development, ensure alignment with business and technical requirements, and mentor peers across development and architecture teams.

The role emphasizes strong coding skills, advanced data handling, and experience with Kubernetes and Docker in a hybrid, client-facing environment.

Qualifications

  • Bachelor's degree or higher in a related field.
  • 10+ years of applied experience in software/platform engineering.
  • Strong leadership and collaboration across teams.
  • CI/CD delivery using code/configuration management and automation tools.

Responsibilities

  • Solve complex and escalated project aspects through coding, debugging, testing, and troubleshooting.
  • Provide advanced technical expertise to maximize efficiency and value of solutions and infrastructure.
  • Collaborate with Development, Engineering and Architecture teams to engineer leading solutions.
  • Take a leadership role for the work group, ensuring clear expectations and responsibilities.
  • Drive consistency in processes, standards, and technical design across projects.

Skills

Advanced design & development
Java/C#/Python
Data Modeling/OLTP/OLAP/NoSQL
CI/CD tooling (GitHub/ADO)
AI model tuning
Leadership & mentorship

Education

Bachelor's degree in CS/Engineering/IT/Math

Tools

Kubernetes
Docker
GitHub
Azure/AWS

Job description

EY is seeking a senior software/platform engineer in Austin, TX to lead design, development, delivery, and maintenance of innovative solutions. You will drive AI-forward development, ensure alignment with business and technical requirements, and mentor peers across development and architecture teams.

The role emphasizes strong coding skills, advanced data handling, and experience with Kubernetes and Docker in a hybrid, client-facing environment.

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