Description

You will design and maintain a scalable AI/ML platform for large-scale applications across AWS, Azure, and GCP.

Responsibilities

• Design abstractions over services in AWS, Azure, and GCP public cloud platforms.
• Build frameworks for performance, scalability, and reliability tracking across platform components.
• Develop features for highly extensible AI/ML platforms using test-driven methodology.
• Collaborate with architects, product managers, and engineers to provide technical insights.
• Deliver project commitments using agile software development methodologies.

Required Skills

• 15+ years of relevant experience with strong computer science fundamentals.
• High proficiency in Java and Python with deep knowledge of SpringBoot.
• Expertise in object-oriented programming, data structures, and algorithms.
• Experience with large-scale distributed systems, including EMR and DataProc.
• Hands-on experience with GCP, AWS, or Azure.
• Knowledge of HPC, SLURM, and Posit.
• Experience with containerization and orchestration including Docker and Kubernetes.
• Familiarity with Mesoz, DC/OS, or Swarm.
• Knowledge of DevOps practices.

Preferred Skills

• Experience building Data IQ or Databricks.

Key Skills

Education

Any Graduate