Job
Description
Designs, programs, documents, tests, and fixes bugs involved in creating and maintaining applications and frameworks involved in a software release lifecycle resulting in a digital product. Impacts approaches, projects and programs in the functional area or affected business organization and ways of working. Impacts quality, efficiency and effectiveness of own team. Has significant input into priorities. Guided by professional practices and policies that are shaped by the role. The role has moderate autonomy, requiring high levels of operational judgment. GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description We are seeking an experienced Sr Software Engineering Manager with expertise in Data Engineering, AI Engineering and AWS cloud computing. The ideal candidate will have a strong technical background, excellent leadership skills, and a passion for driving innovation in AI and data-driven projects. You will be responsible for leading a team of engineers, overseeing the development and deployment of complex AI solutions, and ensuring the successful integration of AI into our systems. 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 . This role is pivotal in driving the success of our AI projects and ensuring the growth and development of our engineering team. If you are a strategic thinker with a passion for AI technology and leadership, we would love to hear from you
