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Microsoft Sustainability Engineering Manager 
United States 
948212418

30.07.2024

You bring a deep understanding and experience in digital transformation opportunities across AI, supported by thought leadership in advanced technologies such as Generative AI, Advanced Analytics and App Modernization.

Required/minimum qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 3+ years people management experience
Additional or preferred qualifications
  • 4+ years people management experience
  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR
    • Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 6+ years of recent customer engagement experience related to engineering, prototyping and solution creation.
  • 4+ years of experience in engineering management.
  • 4+ years of experience working on and deploying applications to Azure or similar cloud platforms.
  • 4+ years of experience with Azure Data and AI services, Data Engineering, Analytics, Machine Learning, Cognitive Services; Cognitive Search and exposure to OpenAI solutions.
  • 4+ years of experience in leading agile projects, sprint planning and resource allocation.
  • 4+ years of experience with code repositories including but not limited: Azure DevOps; GitHub as well as understanding of branching and tagging strategies; understanding of CI/CD pipelines
  • Experience with design engineering, customer workshops, defining customer problem statements.
  • Experience with open-source ecosystem.
  • Familiarity with large language models (LLM), prompt engineering and retrieval augmented generation (RAG) architectures.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Responsibilities
  • Lead, coach, and build a diverse and inclusive culture where everyone can bring their full and authentic self and do their best work as a result.
  • Mentor and enable career growth for your team by helping them in different career stages develop skills to support their career goals and business objectives.
  • Provide ongoing feedback that helps direct reports improve their performance. Promote a positive environment across the organization by modeling behavior that promotes high morale.
  • Lead the design, development, and maintenance of scalable and high-quality software applications that leverage AI technologies and Sustainability to enable business outcomes, foster innovation, and enable efficiency across organizational boundaries to drive clarity and alignment.
  • Drive the end-to-end solution development lifecycle, from requirements gathering, ideation, quick prototyping to implementation and technical validation.
  • Conduct research, stay current with the latest developments in new technologies, latest industry trends and bring ideas and insights to the team to drive innovation.
  • Collaborate with CSA CTO’s production team (including PM and design), develop scalable, deployable, reusable, and relevant field enablement technical assets to accelerate customer and partner AI cloud adoption including customer-facing, product-validated solution architectures, GitHub repositories, tools, and accelerators.
  • Partner with stakeholders to understand business needs and translate them into technical requirements and solutions.
  • Travel to relevant industry conferences and other related events, as needed.
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