Software Engineer - AI & Cloud Engineering (Early to Mid Career)

re-zoo-me; Northern (KY); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Equity in early-stage startup

401K contribution

Health insurance

Job summary

Flexcompute seeks a mid-level software engineer to join our Wisconsin-based engineering team, building scalable systems and contributing across layers of a cloud-native platform. You’ll help develop core infrastructure and user-facing capabilities for simulation and collaboration platforms, focusing initially on workspace and workbench functionality.

You’ll collaborate with experienced engineers and product leaders while shaping AI-enabled workflows and future platform architecture.

Qualifications

• 3–6 years of professional software engineering experience.
• Strong programming skills across one or more languages listed.
• Experience building backend systems, APIs, or distributed services.
• Familiarity with Linux-based development environments and Git workflows.
• Ability to independently drive technical projects and collaborate across teams.
• Strong problem-solving ability and attention to detail.

Responsibilities

• Build backend services, APIs, and platform infrastructure.
• Develop features for engineering workspaces and collaborative workflows.
• Improve scalability, reliability, and performance across cloud systems.
• Support AI infrastructure and intelligent tooling initiatives.
• Enhance developer tooling, automation, and deployment systems.
• Collaborate across software, infrastructure, and simulation teams.

Skills

Python

C++

Rust

Go

Java

JavaScript

Backend development

Linux

Git workflows

Independent project ownership

Education

B.S. in Computer Science, Engineering, Physics, Mathematics, or related field

Tools

Docker

Kubernetes

Job description

About The Role

Flexcompute is seeking a highly capable mid-level software engineer to join our Wisconsin-based engineering team. This role is ideal for someone who enjoys building scalable systems, learning quickly, and contributing across multiple layers of a modern engineering platform.

You will help develop and improve core infrastructure and user-facing capabilities across our cloud-native simulation and collaboration platforms. Initially, the focus will be on workspace and workbench-related functionality, with opportunities to grow into more advanced platform architecture and distributed systems work over time.

You will collaborate closely with experienced engineers, product leaders, and simulation experts while helping shape the next generation of engineering software and AI-enabled workflows.

Projects May Include

• Building and maintaining backend services, APIs, and platform infrastructure


• Developing features for engineering workspaces and collaborative workflows


• Improving scalability, reliability, and performance across cloud systems


• Supporting AI-related infrastructure and intelligent tooling initiatives


• Enhancing developer tooling, automation, and deployment systems


• Contributing to visualization and interactive engineering experiences


• Collaborating across software, infrastructure, and simulation teams

Requirements

We are looking for engineers with strong technical fundamentals, curiosity, and the ability to ramp up quickly in complex environments.

You May Be a Strong Fit If You Have

• 3 to 6 years of professional software engineering experience


• Strong programming skills in one or more languages such as Python, C++, Rust, Go, Java, or JavaScript


• Experience building backend systems, APIs, or distributed services


• Familiarity with Linux-based development environments and Git workflows


• The ability to independently drive technical projects and collaborate effectively across teams


• Strong problem-solving ability and attention to detail


• A degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field

Preferred Skills

• Experience with cloud infrastructure such as AWS, GCP, or Azure


• Familiarity with Docker, Kubernetes, or containerized environments


• Exposure to AI infrastructure, ML systems, or data engineering workflows


• Experience with performance optimization or distributed computing systems
  
• Interest in scientific computing, GPU acceleration, or simulation platforms

Why Flexcompute?

Flexcompute offers the opportunity to work on deeply technical challenges with real-world impact across aerospace, semiconductors, energy, advanced computing, and AI-driven engineering.

You will join a fast-growing team building next-generation technologies at the intersection of GPU computing, cloud infrastructure, scientific simulation, and AI. Engineers at Flexcompute are given significant ownership, access to world-class mentors, and the opportunity to contribute to products used by some of the world’s most innovative organizations.

If you are excited by ambitious technical challenges and want to help shape the future of engineering computing, we encourage you to apply.

Benefits

• Competitive salary


• Meaningful equity of early-stage startup


• 401K contribution


• Health insurance