Mid/Senior Cloud AI & DataOps Engineer (Digital Channels) (m/f/diverse)

Your tasks

• Building, operating and continuously improving cloud platform capabilities supporting data, machine learning and generative AI workloads across Azure and Google Cloud;
• Designing, implementing and maintaining reusable Infrastructure as Code solutions using Terraform and related automation technologies;
• Developing and evolving platform standards, engineering guardrails and reusable patterns for cloud, DataOps, MLOps and AI platform services;
• Building and improving CI/CD pipelines, deployment automation and release processes supporting data, AI and cloud platform engineering;
• Enabling secure, compliant and scalable deployment patterns for data pipelines, machine learning workloads, AI services and platform components within a regulated banking environment;
• Implementing monitoring, observability, logging and operational controls for cloud platforms, data services, AI workloads and supporting infrastructure;
• Integrating identity management, secrets handling, networking, governance and security controls into reusable platform capabilities and engineering standards;
• Collaborating closely with data engineers, data scientists, software engineers, architects and platform teams to improve engineering productivity, reliability and operational excellence;
• Supporting the full lifecycle of data, machine learning and AI solutions, including versioning, testing, deployment, release, rollback and operational support;
• Contributing to architecture decisions, technology selection and engineering approaches related to cloud platforms, AI enablement, platform modernization and enterprise integration;
• Supporting strategic initiatives involving cloud transformation, AI adoption, platform engineering, automation and cloud-native operating models;
• Creating and maintaining technical documentation, platform standards, reference architectures and reusable implementation guidance for engineering teams.

Your Profile

• Proven experience with building and supporting cloud-native solutions using Azure and/or Google Cloud services, networking, identity, security and managed platform capabilities.;
• Strong experience with building and operating cloud platform capabilities for data, machine learning and generative AI workloads across Azure and/or Google Cloud;
• Proven experience in developing and maintaining Terraform modules, configurations and standards for cloud platform delivery;
• Good knowledge of automating platform engineering tasks, validations, integrations and operational workflows;
• Experience with supporting versioning, testing, deployment, monitoring and lifecycle management for data and AI solutions;
• Experience with designing and supporting API-based integrations between platform capabilities, product systems and enterprise tooling;
• Experience with integrating identity, secrets management, networking and governed access controls into reusable platform standards and capabilities;
• Proven experience in setting up and maintaining CI/CD pipelines, with a strong understanding of GitOps tools (e.g., Github Enterprise), container registries, Helm charts, and modern deployment workflows;
• Great communication skills as well as self-motivation;
• Fluency in English - both written and spoken;
• University degree in IT or relevant.

I n return, we offer:

• Good work-life balance, including 25 days annual paid leave (increasing with 1 day per year up to 31 in total), flexible working hours, work-from-home and work from abroad opportunities;
• Luxury package of additional health and dental insurance;
• Food vouchers in the amount of EUR 80 monthly;
• 6 additional annual days off for exceptional circumstances
• Employee assistance program for psychological, financial and legal consultations;
• Multisport card;
• Annual contribution of EUR 153.39 net per child for a summer camp/school/kindergarten for children up to age of 15;
• Possibilities for building career-advancing skills by covering training/certification courses and conferences based on individual learning and development needs, access to an online learning platform;
• Opportunities for long-term professional development in a stable, 150-year-old company while contributing to the vision of a new, just starting Digital Technology Center;
• Friendly and supportive multicultural environment, open to new opinions and ideas.

Commerzbank is proud to be an equal opportunity employer, committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to gender, race, color, national origin, religion, gender identity or expression, sexual orientation, genetics, disability, age, or any other characteristics.

The company

Commerzbank is a leading international commercial bank with branches and offices in almost 50 countries. The world is changing, becoming digital, and so are we. We are leaving the traditional bank behind us and we are choosing to move forward as a digital enterprise.

As part of this strategy, Commerzbank continues the expansion of its Digital Technology Center in Sofia, Bulgaria. We need motivated people who will join us on this journey and we are looking for aMid/SeniorCloud AI & DataOps Engineer in our Digital Channels team.

In the role of Cloud AI Platform & DataOps Engineer, you will contribute to the design, implementation and continuous improvement of cloud platform capabilities that enable data, machine learning and generative AI workloads to be delivered securely, efficiently and at scale across Commerzbank's technology landscape.

You will work primarily with Microsoft Azure and Google Cloud Platform (GCP) to support the development of secure, scalable and compliant platforms for data engineering, advanced analytics, machine learning and AI solutions. The role includes close collaboration with data engineers, data scientists, software engineers, platform engineers, architects and security specialists to enhance automation, reliability, governance and operational excellence across the end-to-end AI and data delivery lifecycle.

Contact

Apply now with your up-to-date CV in English!

Due to the high volume of applications, we contact only the candidates who best match the role requirements. If you do not hear from us within 14 days, please consider that we won't proceed with your application at this stage.