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Software Engineer – AI & Cloud Engineering
FlexcomputeMid-level Software Engineer developing core infrastructure for AI & cloud simulation platforms. Contributing to technology advancements in engineering across multiple industries.
Posted 7/23/2026full-timeMadison • Massachusetts, Wisconsin • 🇺🇸 United StatesMid-LevelSeniorWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining backend services, APIs, and cloud infrastructure, with strong programming skills in languages such as Python, C++, and Java. Proven ability to drive technical projects independently while collaborating effectively across teams to enhance developer tooling and performance optimization.
Highest-signal resume keywords
Backend Systems DevelopmentAPI DevelopmentCloud Infrastructure (AWS, GCP, Azure)Programming (Python, C++, Java)Linux-Based Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend SystemsAPIsDistributed ServicesPerformance OptimizationCloud InfrastructureProgramming (Python)Programming (C++)Programming (Java)Git WorkflowsProblem-Solving
Soft Skills
CollaborationAttention to DetailIndependent Project Management
Tools & Technologies
DockerKubernetesAI InfrastructureML SystemsData Engineering Workflows
Industry Keywords
Cloud SystemsScalabilityReliabilityDeveloper ToolingSimulation Platforms
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoGoogle Cloud PlatformJavaJavaScriptKubernetesLinuxPythonRust
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Competitive salary
- Meaningful equity of early-stage startup
- 401K contribution
- Health insurance