Lead Software Engineer
Insight Global
Job Description
A client of Insight Global’s is looking to hire a Lead Software Engineer to drive technical excellence, mentor team members, and support the success of our software development initiatives. The ideal candidate will possess a blend of strong technical expertise, leadership skills, and a collaborative mindset. Proficiency in software architecture, development, and Agile methodologies is essential, along with the ability to design, implement, and maintain robust, scalable software solutions. Applicants should have experience with C#, JavaScript, HTML, Cloud, DevOps, Automation, Agile methodologies, software architecture, and design. The role is hybrid/onsite in the Tampa Bay area.
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 View email address on click.appcast.io 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 a computer-related field or at least 10 years of relevant experience in Software Engineering. - 20 years
· Proficiency in C#, JavaScript, HTML, Cloud, DevOps, Automation, Agile methodologies, software architecture, and design.
· Strong technical and people leadership skills, with the ability to influence and support team success.
· Ability to come onsite for a hybrid role. · Experience with Azure, Azure Cloud Resource Usage, message-passing architecture concepts, and Dev Containers.
· A strong understanding of API and service design principles.
· Familiarity with machine learning (ML), artificial intelligence (AI), and large language models (LLMs) for potential integration into software solutions.
· Familiarity with supply chain systems is a plus.
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