Software Engineer – AI & Cloud Engineering

Jobtailor; Massachusetts; On-site; USD 110,000 - 170,000; Full time

Job summary

Jobtailor invites a software engineer with 3–6 years of experience to help build and maintain backend services, APIs, and cloud infrastructure in a fast-moving team. You will drive features for engineering workspaces, improve scalability and reliability, and support AI infrastructure and tooling initiatives.

The role emphasizes collaboration across software, infrastructure, and simulation teams, with a strong focus on developer tooling, automation, and performance optimization.

Qualifications

• 3 to 6 years of professional software engineering experience.
• Strong programming skills in 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 across teams.
• Strong problem-solving ability and attention to detail.
• Degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field.

Responsibilities

• 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.

Skills

Backend systems

APIs

Distributed services

Performance optimization

Cloud infrastructure

Python

C++

Java

Git workflows

Problem-solving

Education

Bachelors in CS/Engineering/Math/Physics

Tools

Docker

Kubernetes

Linux

Git

AWS

GCP

Azure

Job description

• 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

• 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

Core Competencies

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 Development
• API Development
• Cloud Infrastructure (AWS, GCP, Azure)
• Programming (Python, C++, Java)
• Linux-Based Development

ATS Optimization Keywords

Hard Skills

• Backend Systems
• APIs
• Distributed Services
• Performance Optimization
• Cloud Infrastructure
• Programming (Python)
• Programming (C++)
• Programming (Java)
• Git Workflows
• Problem-Solving

Soft Skills

• Collaboration
• Attention to Detail
• Independent Project Management

Industry Keywords

• Cloud Systems
• Scalability
• Reliability
• Developer Tooling
• Simulation Platforms

Tools & Technologies

• Docker
• Kubernetes
• AI Infrastructure
• ML Systems
• Data Engineering Workflows