Python Practice Leader – Engineering Manager, Django, Flask, FastAPI, AWS

3 days ago

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Provectus

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Artificial Intelligence • SaaS

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Develop and implement the strategic vision, ensuring alignment with business goals. • Drive growth by identifying emerging trends and fostering innovation. • Lead and mentor the team, promote a collaborative culture, and manage performance through feedback and goal setting. • Evolve service offerings, collaborate with sales and marketing, and pursue business opportunities to expand the practice. • Oversee the delivery of multiple projects—either directly or through the team—ensuring smooth execution and maintaining high standards of technical excellence. • Oversee budgeting, forecasting, and P&L, ensuring the Practice is within budget and resources are utilized effectively. • Manage project staffing, collaborate with talent acquisition, and optimize resource utilization across projects. • Establish best practices, conduct project reviews, and drive continuous improvement in processes and capabilities. • Collaborate across practices, contribute to strategic company initiatives and foster a culture of internal knowledge sharing.

🎯 Requirements

• Strong understanding of Python patterns & best practices. • Experience in building and deploying scalable web applications. • Ability to explain every design choice one makes. • Ability to explain decisions, status, and roadmap to non-technical customer representatives. • Ability to create reusable components and libraries for application development. • Experience with building backend services and APIs using Python frameworks (FastAPI, Flask, Django). • Practical experience with AWS and other cloud platforms such as GCP or Azure. • Practical experience with post-production support & maintenance: monitoring, troubleshooting, automation, etc. • Experience in GenAI. • Nice to have: Experience with Data products. • Practical experience with a variety of data sources (OLTP, OLAP, DataLake, Streaming).

🏖️ Benefits

• Attractive annual bonus based on performance • Long-term B2B collaboration • Fully remote setup • Comprehensive private medical insurance or budget for your medical needs. • Paid sick leave, vacation, and public holidays • Continuous learning support, including unlimited AWS certification sponsorship