Software engineer

Job Description

-We are seeking an AI Software Developer. As a member of a Scaled Agile software development organization, you will contribute to the technical execution of a program that integrates proven, globally deployed technologies with modern cloud-native and AI-enabled capabilities. You will work alongside cross-functional teams and technical leaders to deliver predictable outcomes in a highly regulated, safety-critical environment. In this position, you will design and implement software solutions independently while working closely with systems engineering, product delivery, and DevSecOps teams. The primary focus is on developing microservices-based applications within an Agile/SAFe environment. Experience with AI-enabled or data-driven systems is advantageous. This role focuses on building and modernizing real-time, safety-critical systems using a combination of traditional systems engineering and AI-augmented software development practices. You'll work on software that applies AI tools to accelerate development, improve quality, and enhance system reliability.

Day to Day:

-Design, develop, and maintain microservices-based applications using modern software engineering best practices

-Collaborate with product owners, architects, and engineers in an Agile/SAFe environment

-Participate in sprint planning, daily standups, reviews, and retrospectives

-Collaborate with systems engineering and program teams to translate requirements into working software solutions

-Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices

-Contribute to system design discussions and technical decision-making

-Integrate services with databases, messaging systems, and external APIs

-Support troubleshooting, performance tuning, and continuous improvement

-Work closely with QA, DevOps, and platform teams to ensure reliable delivery

-Implement modern automated testing strategies, including unit, integration, contract, and end-to-end testing

-Use AI-assisted development tools to accelerate coding, refactoring, debugging, and test creation

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

-Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

-2+ years of relevant experience or a Master's Degree

-Hands-on experience building and supporting microservices-based systems

-Proficiency in at least one modern programming language (e.g., Java, Python, C++, or similar on a Linux-based system)

-Experience or exposure to AI/ML-enabled systems (Claude-Code), automation, or intelligent platforms.

-Experience working in Agile environments

-Understanding of APIs and distributed system concepts

-Ability to obtain and maintain a Public Trust -Experience with Git-based version control and CI/CD pipelines

-Familiarity with Scaled Agile Framework (SAFe)

-Experience working with relational and/or NoSQL databases

-Hands-on experience with Kafka or other event-streaming technologies

-Cloud experience (AWS, Azure, or GCP)

-Containerization and orchestration experience (Docker, Kubernetes)

-Experience working in DevSecOps environments

-Experience with test automation frameworks and integration of automated test suites into CI/CD pipelines