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DevOps/ML Engineer AVP
DWS Investment
posted 4mon ago
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Key skills for the job
Job Description
- Design, implement, and maintain our team s infrastructure and workflows on Google Cloud Platform, including GCP services such as Google Kubernetes Engine (GKE), Cloud Storage, Vertex AI, Anthos, Monitoring etc.
- Design, implement, and maintain our containerization and orchestration strategy using Docker and Kubernetes. Collaborate with development teams to ensure seamless integration of containerized applications into our production environment.
- Collaborate with software developers to integrate machine learning models and algorithms into our products, using PyTorch, TensorFlow or other machine learning frameworks.
- Develop and maintain CI/CD pipelines for our products, using tools such as GitHub and GitHub actions.
- Create and maintain Infrastructure as Code templates using Terraform.
- Ensure the reliability, scalability, and security of our infrastructure and products, using monitoring and logging tools such as Anthos Service Mesh (ASM), Google Clouds operations (GCO) etc.
- Work closely with other teams, such as software development, data science, and product management, to identify and prioritize infrastructure and machine learning requirements.
- Stay up to date with the latest developments in Google Cloud Platform and machine learning and apply this knowledge to improve our products and processes.
Your skills and experience:
- Bachelor s degree in computer science, Engineering, or a related field.
- At least 3 years of experience in a DevOps or SRE role, with a focus on Google Cloud Platform.
- Strong experience with infrastructure as code tools such as Terraform or Cloud Formation.
- Experience with containerization technologies such as Docker and container orchestration tools such as Kubernetes.
- Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
- Experience with CI/CD pipelines and automated testing.
- Strong understanding of security and compliance best practices, including GCP security and compliance features.
- Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams.
Preferred Qualifications:
- Master s degree in computer science, Engineering, or a related field.
- Knowledge of cloud-native application development, including serverless computing and event-driven architecture.
- Experience with cloud cost optimization and resource management.
- Familiarity with agile software development methodologies and version control systems such as Git.
How we ll support you
- Training and development to help you excel in your career
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
Employment Type: Full Time, Permanent
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