GE HealthCare Sr Manager - Software Engineering 

India, Karnataka, Bengaluru 

713182186

Responsibilities:

• Team Leadership and Management:

  • Lead and mentor a team of software engineers, fostering a collaborative and innovative environment.

  • Provide guidance and support to team members, helping them grow their skills and advance their careers.

• Project Oversight:

  • Oversee the entire software development lifecycle, from planning and design to implementation and deployment.

  • Ensure projects are completed on time, within scope, and meet quality standards.

• AWS Infrastructure Management:

  • Design, implement, and optimize AWS infrastructure to support scalable and reliable applications.

  • Ensure the security and cost-effectiveness of cloud resources.

• Data Engineering:

  • Develop and maintain data pipelines and ETL processes to handle large volumes of data.

  • Ensure data integrity, quality, and accessibility for various applications.

• Large Language Models (LLMs) Integration:

  • Integrate LLMs for different use cases, ensuring they meet performance and accuracy requirements.

  • Stay updated with advancements in LLMs and apply best practices for their deployment.

• Collaboration and Communication:

  • Work closely with cross-functional teams, including product managers, data scientists, and other stakeholders, to define project requirements and deliverables.

  • Communicate project status, risks, and opportunities to senior management and other stakeholders.

• Quality Assurance:

  • Conduct code reviews and enforce best practices for software development.

  • Implement testing strategies to ensure the reliability and performance of applications.

• Continuous Improvement:

  • Foster a culture of continuous improvement and innovation within the team.

  • Stay up-to-date with industry trends and emerging technologies to keep the team competitive.

• Risk Management:

  • Identify and mitigate risks throughout the project lifecycle.

  • Develop contingency plans to address potential issues.

• Documentation:

  • Ensure comprehensive documentation of systems, processes, and best practices for future reference and training.

Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Proven experience as a software engineering manager or in a similar leadership role.

• Strong technical background with AI Engineering, Data Engineering, AWS, Docker, Kubernetes, Python.

• Experience with large language models (LLMs) and their integration into AI systems.

• Excellent leadership and communication skills .

• Experience with Agile methodologies and project management tools.

• Ability to manage multiple projects and priorities in a fast-paced environment.

• Strong problem-solving skills and attention to detail.

• Knowledge of industry best practices and emerging technologies
  .

total rewardsare designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.