Software Engineer – Hybrid (Edge, ML & DevOps)

Software Engineer – Hybrid (Edge, ML & DevOps)

Full-Time 60000 - 65000 Β£ / year (est.) No working from home possible
CBSbutler Holdings Limited trading as CBSbutler

At a Glance

  • Tasks: Develop software using modern cloud and DevOps technologies while collaborating with dynamic teams.
  • Company: Join CBSbutler, a forward-thinking company in Hampshire with a hybrid work model.
  • Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
  • Why this job: Make an impact in a fast-paced environment with cutting-edge tech and Agile processes.
  • Qualifications: Experience with AWS, Docker, Kubernetes, and machine learning is essential.

The predicted salary is between 60000 - 65000 Β£ per year.

CBSbutler Holdings Limited trading as CBSbutler is seeking a Software Engineer for a hybrid role based in Hampshire. The role offers a salary of Β£60,000 to Β£65,000 per year and requires expertise in modern cloud and DevOps technologies, including AWS, Docker, Kubernetes, and machine learning capabilities.

You will collaborate with product owners and engineering teams to deliver software, participate in Agile processes, and ensure quality through testing and code reviews in a fast-paced environment.

Software Engineer – Hybrid (Edge, ML & DevOps) employer: CBSbutler Holdings Limited trading as CBSbutler

At CBSbutler, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our Hampshire location provides a secure environment for our DV Cleared Infrastructure Test Engineers to thrive, with competitive rates and opportunities for professional growth within a high-profile infrastructure programme. Join us to be part of a team that values your expertise and supports your career development in a meaningful way.

CBSbutler Holdings Limited trading as CBSbutler

Contact Details:

CBSbutler Holdings Limited trading as CBSbutler Recruitment Team

We think you need these skills to ace Software Engineer – Hybrid (Edge, ML & DevOps)

AWS
Docker
Kubernetes
Machine Learning
Agile Methodologies
Software Development
Code Review