Senior AI Platform Engineer | Backend, Observability, & Mentorship

Franklin Templeton; Poznań; Vor Ort; PLN 180.000 - 260.000; Vollzeit

Zusammenfassung

Franklin Templeton is seeking a Senior Software Engineer to lead the design and delivery of backend services within the AI Platform. You will build production APIs, ensure observability, and mentor junior engineers in a collaborative, data-driven environment.

You will translate complex requirements into robust architectures, drive testing and security practices, and partner with product, data, and risk teams to deliver scalable AI-enabled solutions across the firm.

Qualifikationen

• Bachelor's degree in CS/engineering or equivalent experience.
• 5+ years in professional software engineering, backend or data-intensive systems.
• Experience with automated testing, CI/CD, containerization, observability, and secure coding.
• Experience leading technical design and mentoring engineers.

Aufgaben

• Own backend services design and delivery for assigned domain.
• Translate requirements into architecture options and criteria.
• Set standards for automated testing, code quality, and security.
• Build observability, logging, alerting, and reliability into services.
• Lead code/design reviews and mentor teammates.
• Collaborate with product, data, and compliance to ensure secure solutions.
• Maintain technical documentation and evaluate new tools.

Kenntnisse

Advanced Python

APIs

Microservices

SQL

Data processing

Software design

System integration

CI/CD

Observability

Secure coding

Ausbildung

Bachelor's degree in Computer Science, Engineering, or related discipline

Tools

Kubernetes

Cloud platforms

Workflow orchestration

Time-series data

Jobbeschreibung

Franklin Templeton is seeking a Senior Software Engineer to lead the design and delivery of backend services within the AI Platform. You will build production APIs, ensure observability, and mentor junior engineers in a collaborative, data-driven environment.

You will translate complex requirements into robust architectures, drive testing and security practices, and partner with product, data, and risk teams to deliver scalable AI-enabled solutions across the firm.