Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4326815607&distance=25.0&f_AL=true&f_TPR=r3600&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER Job Description: Vettura AI Share Show more options Senior Java Full Stack Developer with Python United States · 24 minutes ago · 7 applicants No response insights available yet Remote Matches your job preferences, workplace type is Remote. Full-time Easy Apply Save Save Senior Java Full Stack Developer with Python at Vettura AI Senior Java Full Stack Developer with Python Vettura AI · United States (Remote) Easy Apply Save Save Senior Java Full Stack Developer with Python at Vettura AI Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team Santosh Krish 3rd Client AI Partner leveraging AI for efficient recruiting solutions Job poster Message About the job Senior Developer with Python Minneapolis , Remote Exp - 10+yrs Only GC , USC on w2 Qualifications: Experience Minimum of 6 years of relevant professional experience. · Experience in full-stack development in Python, React, Angular, and REST APIs Experience in Power BI. Proven ability to apply core Python concepts beyond syntax, with a history of building and deploying applications or scripts to support IT operations, automate workflows, or manage data. Strong skills in data acquisition, cleaning, preprocessing, and transformation using Python for large-scale data analysis. Hands-on experience deploying Python applications to production environments on cloud platforms such as AWS, Azure, or GCP. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Proficient in version control (Git), writing clean and testable code, participating in code reviews, and working within CI/CD pipelines. Solid foundation in data science best practices, including data pipelines, feature engineering, and machine learning model development. Strong understanding of ethical AI practices, including bias mitigation, data privacy, and secure coding principles.