Associate Software Engineer-Atlanta

This is a hybrid position, in-office at least 3 days a week, in our ATLANTA office  located at 788 Circle 75 Parkway, Atlanta, Georgia 30339

*we will not be able to consider candidates outside of Atlanta for this role*

Who we are

Over 600 employees strong, Asure sees Human Capital Management (HCM) through the lens of entrepreneurs and executives with an owner’s mentality. We help businesses develop their “Human Capital” to get to the next level, stay compliant, and allocate their time, money and technology toward growth. Our HCM platform empowers more than 100,000 clients to build great teams and better manage their people while staying compliant in an ever-changing HR legislative landscape. Asure’s HCM offering includes Payroll & Tax, HR, and Time & Attendance software and HR Services ranging from online compliance tools to a fully outsourced HR department.

 

Major Duties and Responsibilities:

Collaborate with engineers, product managers, and other stakeholders to develop software solutions that meet business and customer needs.

• Design, develop, test, and maintain software applications, services, and APIs.
  
• Contribute to front-end, back-end, or full-stack development initiatives-based project assignments.
  
• Participate in code reviews and incorporate feedback to improve code quality and technical skills.
  
• Assist with troubleshooting, debugging, and resolving software defects.
  
• Develop and maintain integrations with internal and external systems.
  
• Work with relational and NoSQL databases to store, retrieve, and manage application data.
  
• Support the development and deployment of applications in cloud environments.
  
• Write clean, maintainable, and well-documented code following engineering best practices.
  
• Participate in Agile development activities, including sprint planning, stand-ups, and retrospectives.
  
• Leverage AI-powered development tools and automation technologies to improve productivity, code quality, testing, documentation, and problem-solving.
  
• Explore opportunities to incorporate AI and machine learning capabilities into software solutions under the guidance of senior engineers and architects.
  
• Continuously develop technical knowledge and skills across all aspects of software engineering — including languages, frameworks, databases, cloud technologies, testing, and engineering best practices — with a curiosity and growth mindset that extends to emerging tools and technologies such as AI and intelligent automation.

 

Qualifications and Requirements: 

Required Qualifications

•  Bachelor's or Master’s degree in computer science, Software Engineering, Computer Engineering, Information Technology, or a related technical field.
•  Understanding of software development fundamentals, including object-oriented programming, data structures, algorithms, and software design principles.
•  Experience with at least one modern programming language such as C#, Java, JavaScript, TypeScript, Python, or similar through coursework, projects, internships, or personal development.
•  Familiarity with web technologies, APIs, and modern software development practices.
•  Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
•  Basic understanding of relational and/or NoSQL database concepts.
•  Experience using Git or other version control systems.
•  Interest in artificial intelligence (AI), machine learning (ML), and emerging technologies, with a willingness to leverage AI-enabled tools in daily workflows.
•  Strong problem-solving, analytical, and communication skills.
•  Ability to learn quickly and collaborate effectively in a team-oriented environment.

Preferred Qualifications

• Work, internship, co-op, academic project, open-source contribution, or personal project experience related to software development.
• Exposure to front-end development frameworks such as React, Angular, or Vue.js.
• Exposure to back-end development technologies such as .NET, Java, Node.js, or Python.
• Familiarity with RESTful APIs, web services, and system integrations.
• Exposure to cloud-native development concepts, including serverless architectures and cloud services.
• Understanding of Agile software development methodologies and DevOps practices.
• Experience with automated testing, CI/CD pipelines, or software quality practices.
• Exposure to AI and machine learning concepts through coursework, certifications, projects, hackathon