Principal Software Engineer

engineeringjobs.net, Inc.; New York (NY); On-site; USD 170,000 - 230,000; Full time

Job summary

engineeringjobs.net, Inc. seeks a senior software architect to define and evolve architecture for core systems that blend cloud infrastructure, machine learning, and hardware interaction.

You will lead strategic technical projects, reviews, and mentoring while aligning engineering direction with product and research priorities to ensure scalability and reliability. Requirements include 10+ years in software development, designing and scaling distributed real-time applications, and leadership of

Qualifications

• Requires 10+ years of software development experience.
• Expertise designing and scaling distributed, real-time systems.
• Proven leadership of technical strategy and cross-team architecture.
• Proficient in a backend language; strong system design and performance skills.
• Experience connecting machine learning research to production preferred.

Responsibilities

• Define and evolve architecture for core systems combining cloud, ML, and hardware.
• Lead strategic technical projects, reviews, and mentoring across teams.
• Align engineering direction with product and research priorities.
• Ensure systems remain scalable, reliable, and sustainable.

Skills

Distributed Systems

Real-Time Applications

Technical Architecture

Technical Leadership

System Design

Performance Optimization

Fault Tolerance

Machine Learning

Cloud Infrastructure

Hardware Interaction

Cross-Team Collaboration

Mentoring

Python

Go

Java

Kubernetes

Tools

Kubernetes

Job description

Define and evolve architecture for core systems and products that combine cloud infrastructure, machine learning, and hardware interaction. Lead strategic technical projects, reviews, and mentoring while aligning engineering direction with product and research priorities and ensuring systems remain scalable, reliable, and sustainable.

Requirements: Requires 10+ years of software development experience, expertise designing and scaling distributed systems and real-time applications, and demonstrated leadership of technical strategy and cross-team architecture. Candidates should be proficient in a backend systems language and have strong system design, performance optimization, and fault-tolerance skills; experience connecting machine learning research to production is preferred.

Key Skills: Distributed Systems, Real-Time Applications, Technical Architecture, Technical Leadership, System Design, Performance Optimization, Fault Tolerance, Machine Learning, Cloud Infrastructure, Hardware Interaction, Cross-Team Collaboration, Mentoring, Python, Go, Java, Kubernetes