Python Engineer
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Role details
Tech stack
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Job description
Design, develop, and maintain scalable backend services and APIs using Python and FastAPI.
Build and optimize database solutions using PostgreSQL.
Develop and support cloud-native applications in AWS or other cloud platforms.
Collaborate with product managers, architects, and development teams to deliver high-quality software solutions.
Participate in architecture discussions, code reviews, and technical decision-making.
Troubleshoot and resolve application performance and scalability issues.
Mentor junior and mid-level engineers and promote engineering best practices.
Contribute to Agile ceremonies and help drive continuous improvement across the team.
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.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Requirements
5-8 years of professional software engineering experience.
Strong hands-on experience with Python development.
Experience building RESTful APIs with FastAPI or similar frameworks.
Strong knowledge of PostgreSQL and relational database design.
Experience developing applications in cloud environments, preferably AWS (Azure or GCP experience also considered).
Understanding of microservices architecture, API design, and software engineering best practices.
Strong communication skills and the ability to mentor and guide team members.
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