Job
Description
About The Role :
Job TitleDevOps Engineer, AVP
LocationPune, India
Role Description
We are seeking a highly skilled and experienced DevOps Engineer to join our team, with a focus on Google Cloud as we migrate and build the financial crime risk platforms on the cloud.The successful candidate will be responsible for designing, implementing, and maintaining our team’s infrastructure and workflows on Google Cloud Platforms.This is a unique opportunity to work at the intersection of software development, infrastructure management and to contribute to the growth and success of our team.DevOps Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments.
Work includes
Planning and developing entire engineering solutions to accomplish business goalsBuilding reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycleEnsuring maintainability and reusability of engineering solutionsEnsuring solutions are well architected and can be integrated successfully into the end-to-end business process flowReviewing engineering plans and quality to drive re-use and improve engineering capabilityParticipating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank.
Deutsche Bank’s Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support." What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,Best in class leave policy.Gender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. and above
Your key responsibilities
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 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
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
