Principal Software Engineer – AI Infrastructure

• 10+ years of experience building and operating production-scale distributed systems.
• Proven experience designing and developing scalable backend platforms and services.
• Strong understanding of software architecture, system design, and cloud-native development.
• Experience translating ambiguous business requirements into technical solutions and execution plans.

Data & AI Platform Experience

• Experience building features for ML inference pipelines.
• Strong understanding of:
• Data processing frameworks
• Experience enabling machine learning workloads in production environments.

AI-Assisted Development

• Demonstrated proficiency with modern AI development tools, including:
• LLM-powered engineering workflows
• Agentic coding assistants
• Ability to effectively leverage AI tools to improve code quality, engineering productivity, and development speed.

Greenfield Product Development

• Proven track record of taking systems and platforms from 0 to 1.
• Comfortable working with undefined requirements and rapidly evolving priorities.
• Strong ownership mindset with the ability to drive initiatives independently.
• Ability to lead architectural discussions and influence technical direction.
• Experience communicating complex technical concepts across engineering and business stakeholders.
• Strong decision‑making skills around system design, scalability, reliability, and maintainability.

Technical Skills

• Java
• Spring Boot
• REST APIs
• AWS
• Compute, Storage, Networking
• IAM
• Cloud-native Architecture

AI / Data Platforms

• Databricks

Programming Languages

• Java
• Python

Development Tools

• AI-Assisted Development Tools
• Modern CI/CD Practices

Ideal Candidate Profile

You will be successful in this role if you:

• Have built AI-enabled platforms rather than simply consuming AI technologies.
• Have experience supporting ML inference and production AI systems.
• Use AI tools extensively to improve engineering efficiency and quality.
• Thrive in startup-like environments with high ownership and rapid execution.
• Enjoy solving complex technical challenges with limited direction.
• Collaborate effectively across Engineering, Product, and Data Science teams.
• Influence through technical excellence, architecture, and hands‑on execution.