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Devops Engineer

Employee Finder Ltd
Posted 9 hours ago, valid for 2 hours
Location

Liverpool, Lancashire L24 6TA

Salary

£50,000 - £60,000 per annum

Contract type

Full Time

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Sonic Summary

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  • We are looking for a Development Operations Engineer to join our team, focusing on technologies that positively impact the environment.
  • The position offers a salary range of £50,000 to £60,000 and requires at least 5 years of experience in CI/CD and ETL for cloud and edge deployment of machine learning models.
  • Candidates must have a degree in Computer Science, Engineering, or a related field, along with experience using cloud services, preferably AWS.
  • The role will initially be 100% site-based, transitioning to a hybrid model in the future, and applicants must have the right to work in the UK as sponsorship is not available.
  • Join us to collaborate with cross-functional teams and contribute to innovative projects in a fast-paced startup environment.

Development Operations Engineer

Job Overview:
We are seeking a skilled Development Operations Engineer to join our dynamic team. As a Development Operations Engineer, you will play a crucial role in developing, maintaining and enhancing new technologies that will have huge positive environmental impacts.

The role is offered with a salary of 50- 60K. Initially the role will be 100% site based, moving to hybrid in the future.

You must have a right to work in the UK as sponsorship cannot be provided.

Duties:

  • Collaborate with the data science teams to build pipelines and deploy to edge devices (cloud)
  • Store and process big data as Datalake/Datawarehouse and into ETL. (Athena, Amazon EMR, Amazon Redshift)
  • Implement CI/CD pipeline to train, validate and deploy machine learning model into cloud and edge.
  • Database orchestration for ML model predications.
  • Support the backend team in deploying to AWS.

Required Skills

  • Degree in Computer Science, Engineering, software or data engineering.
  • 5+ years of CI/CD and ETL cloud and edge deployment for ML models.
  • 1+ years using cloud services (AWS preferably).
  • Excellent documentation and data presentation skills
  • A desire to work in a fast-paced startup environment.
  • Collaborate with cross-functional teams to implement and optimize DevOps practices.

Nice to Have

  • Experience in real time inferencing using Kubernetes or any clustering based elastic services.
  • Experience solving problems in image processing (filtering, data augmentation for computer vision tasks).
  • Experience working with time series data generated by DAS sensors.

Join our team as a Development Operations Engineer and be part of a forward-thinking organization dedicated to technological advancement. Apply now to contribute your expertise to our innovative projects.

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