Sr. Software Engineer

Job Description Insight Global is seeking a Senior Software Engineer for a large aerospace client to design, build, and enhance advanced software systems used for predictive modeling and data‑driven automation. This role focuses on cloud‑based microservices, data processing, and applied AI techniques. This person will be responsible for designing & developing scalable microservices in Microsoft Azure, contribute system and solution architecture decisions, develop and enhance C++ and python code supporting existing FloSimLX modeling tools. They will also Design and maintain ETL pipelines to process and transform large data sets. 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 HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• 5 to 7 years of professional software engineering experience
• Strong experience with Microsoft Azure and microservices architecture
• Proficiency in C++ and Python development
• Experience with system architecture and design patterns
• Hands‑on ETL and data processing experience
• Exposure to AI, machine learning, or large language models Strong problem‑solving and analytical skills
• Experience supporting simulation or modeling platforms
• Background in predictive analytics or mathematical modeling Familiarity with cloud‑based CI/CD pipelines