Senior Software Engineer - AI & Platform Engineering

EY

Wrocław

On-site

PLN 260,000 - 420,000

Full time

14 days+

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Benefits offered by this job

Continuous learning
Diverse and inclusive culture
Career growth opportunities

Job summary

EY Global Delivery Services (GDS) is seeking an experienced senior software/AI engineer to lead delivery of complex software and platform engineering projects in Poland. You will design, develop, and maintain solutions, provide technical leadership, and collaborate with Architecture and Development teams to ensure alignment with business requirements.

The role requires deep expertise in C#/Java or Python, CI/CD practices, and experience with Kubernetes and Docker for containerized deployments.

Qualifications

  • Advanced technical proficiency in designing, developing, and debugging solutions.
  • Bachelor’s degree in computer science, Engineering, IT, Mathematics, or related field preferred.
  • Significant relevant experience in software/platform engineering roles.

Responsibilities

  • Solves complex and escalated project aspects, coding, debugging, testing and troubleshooting.
  • Provides advanced technical expertise to maximize efficiency, reliability and value from current solutions and emerging technologies.
  • Drives consistency to processes, standards, design and technology standards.

Skills

Advanced C#/Java/Python
CI/CD
GitHub
ADO
NLP models
Kubernetes
Docker
AI model evaluation

Education

Bachelor’s degree in CS/Engineering/IT/Mathematics

Tools

Kubernetes
Docker
GitHub
ADO

Job description

EY Global Delivery Services (GDS) is seeking an experienced senior software/AI engineer to lead delivery of complex software and platform engineering projects in Poland. You will design, develop, and maintain solutions, provide technical leadership, and collaborate with Architecture and Development teams to ensure alignment with business requirements.

The role requires deep expertise in C#/Java or Python, CI/CD practices, and experience with Kubernetes and Docker for containerized deployments.

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