Python Full stack Practice Leader/ Engineering manager

Provectus; Michigan; Remote; USD 165,000 - 190,000; Full time

Job summary

A leading company is seeking a Python Full Stack Practice Leader/Engineering Manager to drive technical excellence and team growth. This role involves leading teams in ML/Data Engineering and Full Stack Development, overseeing project delivery, and managing financial resources. The ideal candidate will have extensive experience in data engineering and machine learning, with strong leadership skills and the ability to mentor others. The position offers a remote-first work environment, competitive compensation, and comprehensive benefits.

Benefits

Remote-first work environment with flexible scheduling

Opportunity to contribute to high-stakes projects

Collaborative culture that values innovation

Competitive compensation package

Comprehensive benefits including health, dental, vision

Unlimited PTO

Qualifications

• Extensive experience in Data Engineering, Machine Learning, and Full Stack Development.
• Strong proficiency in Python and TypeScript.
• Hands-on experience with React or similar frontend frameworks.

Responsibilities

• Lead teams specializing in ML/Data Engineering and Full Stack Development.
• Drive growth by identifying emerging trends and fostering innovation.
• Oversee the delivery of multiple projects ensuring high standards of technical excellence.

Skills

Data Engineering

Machine Learning

Full Stack Development

Python

TypeScript

React

AWS

Job description

Python Full stack Practice Leader/ Engineering manager

Python Full stack Practice Leader/ Engineering manager

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Provectus empowers organizations to adopt AI, transforming their operational capabilities and driving innovation across industries such as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

We are looking for a Python Full Stack Practice Leader with deep expertise in Machine Learning/Data Engineering, and Full Stack Development, to drive technical excellence, team growth, and successful project delivery.

Role Overview:

As a Practice Leader, you will lead teams specializing in ML/Data Engineering and Full Stack Development. Your technical knowledge will guide the team in designing, building, and deploying innovative AI-driven solutions, from data pipelines and ML models to intuitive, analytics-driven user interfaces.

Key Responsibilities:

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

Requirements:

• Extensive experience in Data Engineering, Machine Learning, and Full Stack Development
• Strong proficiency in Python and TypeScript
• Hands-on experience with React or similar frontend frameworks, particularly in building dashboards, analytics interfaces, and visualization components
• Deep expertise with AWS, focusing on scalable architectures, DevOps practices, monitoring, and deployment automation
• Proven experience in developing and managing ML pipelines, data workflows, and integrating LLM/GenAI solutions
• Demonstrated leadership experience managing teams, preferably within consulting or service-oriented environments
• Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve goals
• Ability to clearly articulate complex technical concepts to technical and non-technical stakeholders
• Excellent diplomatic and conflict-resolution skills, combined with empathy, ethics, and emotional intelligence
• Calm and resilient demeanor, capable of managing dynamic teams and projects with diverse challenges
  
  
  
  
  

Preferred Experience:

• Prior experience in consulting environments rather than strictly product-based companies
  
  
  
  
  

Success Roadmap for a Python Full stack Practice Leader:

• Month 1 – Integrate & Assess: Conduct a smooth knowledge transition, meet the team, and evaluate current processes and KPIs
• Month 2 – Align & Connect: Refine KPIs with leadership, build relationships across the organization, and align application development practice with business goals
• Month 3 – Contribute & Lead: Take ownership of a live project and make impactful contributions
  
  
  
  
  

We offer:

• Remote-first work environment with flexible scheduling
• Opportunity to contribute to high-stakes projects for mid-sized and large corporations
• Collaborative culture that values innovation, curiosity, and continuous learning
• Competitive compensation package and professional development support
• Comprehensive benefits, including health, dental, vision, 401(k) with company match, and unlimited PTO
• Diverse professional network across industries and technology domains
  
  
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitality, Food and Beverage Services, and Retail

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