Cloud Engineering Lead

3 days ago


London, Greater London, United Kingdom Oxford Knight Full time
Exciting Career Opportunity in Cloud Engineering

Oxford Knight, a renowned global investment bank, is seeking an experienced Cloud Engineering Lead to join their London office. This role offers a unique chance to work with a highly creative and innovative team of engineers, combining Data Science, AI, ML, and automation to enhance human intelligence and solve business problems at scale.

The successful candidate will be responsible for leading efforts to architect and implement robust and modern cloud-based software solutions, building scalable frameworks to address common data challenges, and mentoring junior engineers on the team.

This is an excellent opportunity for a creative problem solver, data enthusiast, and passionate advocate for applied data analytics and intelligence. The ideal candidate should have practical experience in architecting and delivering cloud-based software engineering frameworks, expertise in AWS services related to data analytics and AI/ML technologies, and a deep understanding of cloud-native data technologies and modern data engineering practices.

A competitive salary, including bonuses and benefits, awaits the chosen candidate. Oxford Knight offers flexible working arrangements, allowing for up to 4 days of remote work per week, depending on the role. If you are a motivated professional with a strong SDLC mindset, full-stack development skills in Python, and a Bachelor's degree in Computer Science or Engineering, we encourage you to apply.

Key Responsibilities:

  • Lead the development of cloud-based software solutions
  • Mentor junior engineers on the team
  • Build scalable frameworks to address common data challenges

Requirements:

  • Practical experience in architecting and delivering cloud-based software engineering frameworks
  • Expertise in AWS services related to data analytics and AI/ML technologies
  • Deep understanding of cloud-native data technologies and modern data engineering practices
  • Full-stack development skills in Python
  • Bachelor's degree in Computer Science or Engineering


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