Lead Software Engineer - Python

You have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, reviews, and debugs code written by others. Identifies opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of software applications and systems. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Adds to the team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills: - Formal training or certification on Software engineering concepts and 5+ years applied experience. - Hands-on practical experience delivering system design, application development, testing, and operational stability. - Strong object-oriented programming and concurrency skills. - Proficient in Python frameworks like Flask or Django and experience in building, deploying, and supporting restful web API integrations. - Hands-on experience with a relational database such as PostgreSQL or any similar RDBMS solution with in-depth knowledge of queries, joins, and basic SQL optimization and data persistence concepts. - Hands-on experience on cloud infrastructure such as AWS or Kubernetes. - Strong interest in AI/ML with hands-on knowledge of libraries like pandas, numpy, etc. - Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. - Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). - In-depth knowledge of the financial services industry and their IT systems. - Practical cloud-native experience.,