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Scrum Master/Python Developer Technical Lead

Futrend Technology
McLean, USA
Full-time
Senior Level
Onsite
Discovered 1 months ago

Full Job Posting

  • Lead Python Development team and perform hands on design and development while serving as Scrum Master
  • Facilitate all Scrum ceremonies (daily stand-ups, sprint planning, reviews, retrospectives) with a focus on speed and continuous improvement
  • Remove impediments quickly to maintain team momentum in a rapid prototyping environment
  • Partner with product owners, AI engineers, data scientists, and designers to align priorities and sprint goals
  • Promote agile best practices while adapting frameworks to suit experimental and iterative AI development
  • Track sprint progress, velocity, and deliverables; provide transparent reporting to stakeholders
  • Foster a culture of accountability, collaboration, and innovation within the team
  • Support backlog grooming and ensure user stories are well-defined and actionable
  • Help manage shifting priorities and evolving requirements typical of AI research and prototyping
  • Encourage rapid experimentation, learning loops, and iterative releases
  • 5+ years of Technical Lead
  • 5+ years of experience in Python Development
  • 1+ years of experience as a Scrum Master or Agile Coach
  • Strong understanding of Agile/Scrum principles and frameworks
  • Experience working with cross-functional technical teams (engineering, data science, product)
  • Proven ability to manage fast-paced, ambiguous projects with changing requirements
  • Excellent communication, facilitation, and conflict resolution skills
  • Experience in AI/ML, data science, or rapid prototyping environments
  • Familiarity with tools such as Jira, Confluence, or similar agile project management platforms
  • Scrum certification (CSM, PSM, or equivalent)
  • Experience with Lean Startup or experimentation-driven development
  • Bias toward action and delivery
  • Comfort with uncertainty and rapid change
  • Strong servant-leadership mindset
  • Ability to balance structure with flexibility
  • Passion for innovation and emerging technologies
  • Sprint delivery consistency and velocity
  • Team engagement and collaboration
  • Time-to-prototype and iteration speed
  • Stakeholder satisfaction and alignment
  • Highly dynamic, experimental, and collaborative
  • Short development cycles with frequent iteration
  • Close interaction with AI engineers, product leaders, and stakeholders

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