DevOps / MLOps Engineer - Assistant Vice President
Position Overview
Job Title DevOps / MLOps Engineer
Corporate Title Assistant Vice President
Location Cary, NC
Who we are:
In short – an essential part of Deutsche Bank’s technology solution, developing applications for key business areas.
Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.
Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here .
Overview
We are seeking a skilled DevOps/MLOps Engineer with deep expertise in Google Cloud Platform (GCP) to help us build a world-class machine learning and AI capabilities within the bank. You will be instrumental in designing, implementing, and maintaining scalable infrastructure and automated pipelines that support the full machine learning lifecycle—from experimentation to deployment and monitoring. This role involves close collaboration with data scientists, data engineers, product managers, and platform teams to operationalize models, streamline workflows, and uphold the highest standards of security, privacy, and compliance. You’ll help define and evolve our MLOps practices, ensuring our AI solutions are reliable, reproducible, and impactful.
What We Offer You
A diverse and inclusive environment that embraces change, innovation, and collaboration
A hybrid working model with up to 60% work from home, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
A commitment to Corporate Social Responsibility
Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values
Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
Educational resources, matching gift, and volunteer programs
What You’ll Do
Build and maintain CI/CD pipelines for ML workflows using GCP-native tools such as Cloud Build, Artifact Registry, and Cloud Deploy
Containerize and orchestrate ML workloads using Docker, Kubernetes, and GKE (Google Kubernetes Engine)
Collaborate with cross-functional teams to transition models from development to production, integrating them into customer-facing applications.
Implement robust model monitoring, logging, and alerting using tools like Vertex AI Model Monitoring, Cloud Logging, and Cloud Monitoring
Define and enforce best practices for model versioning, testing, and reproducibility using tools like MLflow and Vertex AI Pipelines
Ensure infrastructure adheres to s ecurity and compliance standards, working closely with Cybersecurity and Data Governance teams
Skills You’ll Need
Bachelor's degree or equivalent is required
Experience in MLOps or DevOps roles, with a strong focus on cloud-native ML infrastructure
Proven experience deploying ML models in production (batch and real-time), ideally in regulated or privacy-sensitive environments.
Proficiency in Python, with solid software engineering fundamentals and experience using Terraform or Deployment Manager for infrastructure-as-code
Hands-on experience with GCP ML tools: Vertex AI, AI Platform, BigQuery ML and CI/CD: Cloud Build, GitHub Actions, Jenkins
Containerization & Orchestration: Docker, Kubernetes, GKE
Skills That Will Help You Excel
Experience deploying and managing generative AI models (LLMs) in production, including prompt engineering, evaluation pipelines, and safety guardrails
Familiarity with observability tools such as MLflow, LangFuse, or Braintrust
Exposure to data governance and privacy frameworks in cloud environments
Expectations
It is the Bank’s expectation that employees hired into this role will work in the Cary office in accordance with the Bank’s hybrid working model.
Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.
The salary range for this position in Cary is $100,000 to $142,250. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.
Deutsche Bank Benefits
At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more!
Learn more about your life at DB through the eyes of our current employees:
The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank’s California Privacy Notice, please email [email protected] .
#LI-HYBRID
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 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.
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