DevOps/ML Engineer AVP

About The Role :Job Title:

DevOps/ML Engineer

Corporate Title:Assistant Vice President

Location:Pune

Role Description:

We are seeking a highly skilled and experienced DevOps Engineer to join our team, with a focus on Google Cloud and Machine Learning. The successful candidate will be responsible for designing, implementing, and maintaining our teams infrastructure and workflows on Google Cloud Platform, while also integrating machine learning models and algorithms into our products. This is a unique opportunity to work at the intersection of software development, infrastructure management, and machine learning, and to contribute to the growth and success of our team.

What we'll offer you

As part of our flexible scheme, here are just some of the benefits that youll enjoy

Best in class leave policy

Gender neutral parental leaves

100% reimbursement under childcare assistance benefit (gender neutral)

Sponsorship for Industry relevant certifications and education

Employee Assistance Program for you and your family members

Comprehensive Hospitalization Insurance for you and your dependents

Accident and Term life Insurance

Complementary Health screening for 35 yrs. and above

Your key responsibilities

Design, implement, and maintain our teams 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 Cloud's 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:

Bachelors 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:

Masters 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

About us and our teams

Please visit our company website for further information:



https://www.db.com/company/company.htm

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.