Description

You will design and build high-performance software platforms that integrate stateful AI and ML algorithms.

Responsibilities

• Drive software platform design by collaborating with architects and product managers to define usage scenarios and priorities.
• Build and operate commercial software covering the entire intelligence execution lifecycle from authoring to observation.
• Develop C++ runtimes that integrate with languages such as Python.
• Coach and mentor engineers on domain design and software engineering standards.
• Collaborate with QA to design and implement non-functional tests.

Required Skills

• 5+ years of experience designing, building, and deploying commercial software.
• Expertise in C++ and Python integration.
• Experience with AI/ML algorithms requiring low-millisecond execution.
• Proficiency integrating model development tools with Jupyter and SageMaker.
• Strong knowledge of domain-driven, event-driven, and microservice architectures.
• Experience with deployment across public cloud, private cloud, and on-premises infrastructure.
• Proven ability to drive design transformations toward modern software patterns and cloud environments.
• Experience supporting production software deployments and agile processes.
• Bachelor’s or Master’s degree in Computer Science or a related discipline.

Preferred Skills

• Experience with AWS, Google Cloud, or Azure.
• Familiarity with the Kubernetes control plane and ecosystem.

Key Skills

Education

Any Graduate