<h2>Job Description:</h2>Job Title DevOps / MLOps EngineerCorporate Title Assistant Vice PresidentLocation Cary, NCWho 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 <a href="https://careers.db.com/explore-the-bank/locations/americas/cary" target="_blank">here</a>.OverviewWe 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 <ul><li>A diverse and inclusive environment that embraces change, innovation, and collaboration</li><li>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</li><li>A commitment to <a href="https://country.db.com/usa/responsibility/" target="_blank">Corporate Social Responsibility</a></li><li>Employee Resource Groups support an inclusive workplace for everyone and promote community engagement</li><li>Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values</li><li>Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits</li><li>Educational resources, matching gift, and volunteer programs</li></ul>What You’ll Do <ul><li>Build and maintain CI/CD pipelines for ML workflows using GCP-native tools such as Cloud Build, Artifact Registry, and Cloud Deploy</li><li>Containerize and orchestrate ML workloads using Docker, Kubernetes, and GKE (Google Kubernetes Engine)</li><li>Collaborate with cross-functional teams to transition models from development to production, integrating them into customer-facing applications.</li><li>Implement robust model monitoring, logging, and alerting using tools like Vertex AI Model Monitoring, Cloud Logging, and Cloud Monitoring</li><li>Define and enforce best practices for model versioning, testing, and reproducibility using tools like MLflow and Vertex AI Pipelines</li><li>Ensure infrastructure adheres to security and compliance standards, working closely with Cybersecurity and Data Governance teams</li></ul>Skills You’ll Need<ul><li>Bachelors degree or equivalent is required</li><li>Experience in MLOps or DevOps roles, with a strong focus on cloud-native ML infrastructure</li><li>Proven experience deploying ML models in production (batch and real-time), ideally in regulated or privacy-sensitive environments.</li><li>Proficiency in Python, with solid software engineering fundamentals and experience using Terraform or Deployment Manager for infrastructure-as-code</li><li>Hands-on experience with GCP ML tools: Vertex AI, AI Platform, BigQuery ML and CI/CD: Cloud Build, GitHub Actions, Jenkins</li><li>Containerization &amp; Orchestration: Docker, Kubernetes, GKE</li></ul>Skills That Will Help You Excel<ul><li>Experience deploying and managing generative AI models (LLMs) in production, including prompt engineering, evaluation pipelines, and safety guardrails</li><li>Familiarity with observability tools such as MLflow, LangFuse, or Braintrust</li><li>Exposure to data governance and privacy frameworks in cloud environments</li></ul>ExpectationsIt 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 <a href="https://careers.db.com/files/documents/brochures/2025-DB-Benefit-Highlights.pdf?language_id=1" target="_blank">here</a> to learn more!Learn more about your life at DB through the eyes of our current employees: <a href="https://careers.db.com/life" target="_blank">https://careers.db.com/life</a>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 <a href="mailto:HR.Direct@DB.com" target="_blank">HR.Direct@DB.com</a>.#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.<div><div>We strive for a <a target="_blank" href="https://careers.db.com/inside-deutsche-bank/our-culture">culture </a>in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.</div></div>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.Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view <a href="https://careers.db.com/files/documents/careers/Equal-Opportunity-Policy-Statement.pdf" target="_blank">Deutsche Bank’s Equal Opportunity Policy Statement</a> and the following notices: <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">EEOC Know Your Rights</a>; <a href="https://www.dol.gov/whd/regs/compliance/posters/fmlaen.pdf" target="_blank">Employee Rights and Responsibilities under the Family and Medical Leave Act</a>; and <a href="https://www.dol.gov/whd/regs/compliance/posters/eppac.pdf" target="_blank">Employee Polygraph Protection Act</a>.