Staff IT Software Engineer Brickster Experience

GAQ426R243

As a Staff Software Engineer you will design deliver and manage complex integrated platforms that combine traditional IT systems with modern full stack software and intelligent AI workloads. Youll bridge diverse technologies lead robust system deployments and enable innovation across cloud on-premises and hybrid environments.

Join us to be the technical backbone enabling intelligent integrated and future-ready business solutions. Shape the next generation of infrastructure and AI mentor top engineers and play a leading role in innovation resilience and business transformation.

The impact you will have:

• Systems Architecture: Develop document and maintain scalable system architectures integrating AI/ML cloud hardware and software components.
• Systems Integration: Ensure seamless integration of heterogeneous technologiesAPIs AI workloads storage networking and CI/CD pipelines.
• AI/ML Deployment: Coordinate with data scientists to productionize models and manage model lifecycle retraining monitoring and security.
• Full Stack Implementation: Guide or implement complex system solutions covering both front-end and back-end requirements ensuring reliability and efficiency across the platform.
• Automation & Monitoring: Leverage automation scripting and monitoring tools for deployment incident response and performance optimization.
• Mentoring & Best Practices: Mentor engineers; establish reliable deployment testing and integration standards.
• Cross-Functional Collaboration: Partner with software hardware data security and business teams to define requirements and deliver business-ready solutions.

What we look for:

• 815 years in systems engineering with direct experience in AI/ML system deployment enterprise-level architecture or full stack engineering.
• Deep knowledge of both infrastructure (compute storage networking cloud containerization) and software (APIs web/app development security).
• Hands-on experience with ML frameworks (e.g. TensorFlow PyTorch) MLOps or deploying AI in production.
• Modern programming/scripting skills (Python Bash or similar) and automation tools.
• Proven ability to integrate and optimize systems across hardware cloud and applications.
• Strong leadership mentoring and cross-team communication skills.
• Preferred but not required:
  • Exposure to regulated or mission-critical environments.
  • Experience scaling platforms for AI automation and rapid product delivery.
  • Recognized technical community leadership (publications open source talks etc.).

Required Experience:

Staff IC