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PaaS, AI & Automation Engineer [T500-21262]

PaaS, AI & Automation Engineer [T500-21262]

Deutsche BörseDelhi, India
2 days ago
Job description

About Deutsche Börse Group

Headquartered in Frankfurt, Germany, we are a leading international exchange organization and market infrastructure provider. We empower investors, financial institutions, and companies by facilitating access to global capital markets. Our business areas cover the entire financial market transaction process chain, including trading, clearing, settlement and custody, digital assets and crypto, market analytics, and advanced electronic systems. As a technology-driven company, we develop and operate cutting-edge IT solutions globally.

About Deutsche Börse Group in India

Our presence in Hyderabad serves as a key strategic hub, comprising India’s top-tier tech talent. We focus on crafting advanced IT solutions that elevate market infrastructure and services. Together with our colleagues from across the globe, we are a team of highly skilled capital market engineers forming the backbone of financial markets worldwide. We harness the power of innovation in leading technology to create trust in the markets of today and tomorrow.

PaaS, AI & Automation Engineer

Corporate IT – Deutsche Börse Group

We’re building the next generation of cloud-native operations at Deutsche Börse Group. As part of our Corporate IT Cloud Infrastructure Operations team, we’re looking for a PaaS, AI & Automation Engineer who’s passionate about automation, reliability, and modern cloud technologies.

This is not just another ops role — it’s an opportunity to shape how we run and scale our cloud-native platforms (GCP, Azure) in a highly regulated financial environment. You’ll work at the intersection of development and infrastructure operations, helping us evolve our platform capabilities while ensuring performance, resilience, and security.

What You’ll Do

As a PaaS & Automation Engineer, you will play a key role in modernizing our infrastructure landscape through automation, cloud-native technologies, and AI-driven enhancements. You will design and implement solutions that streamline deployments, improve observability, and enhance operational efficiency across our hybrid cloud environments. This role is ideal for a self-driven engineer with a passion for automation, innovation, and continuous improvement.

Infrastructure Automation & Deployment : Design, implement, and maintain automated deployment pipelines.

AI & Observability Integration : Integrate AI / ML solutions to optimize ticket resolution, automate request handling, facilitate customer self-service, and enhance system observability.

Security & Compliance : Adhere to security best practices and ensure compliance with internal and external standards. Implement AI assisted vulnerability verification, mitigation and resolution while maintaining operational stability.

Collaboration & Innovation : Work cross-functionally with engineering, security, and operations teams to integrate tools and processes.

Technical Writing & Documentation : Creation of comprehensive documentation and knowledge base articles related to the implementation and application of solutions

What You Bring

Experience integrating AI / ML, preferably into infrastructure operations

3+ years of experience in automation in a mission-critical environment.

Hands-on experience with GCP, Vertex AI and familiarity with cloud native serverless technologies. Azure experience is a plus.

Proficiency in automation platforms such as Ansible, GCP Workflows.

Solid understanding of API integrations, authentication and event-driven architecture.

Familiarity with monitoring and observability (OTel, Prometheus integration)

Must have 2+ scripting and programming experience (Python, Bash, ...)

Experience with Infrastructure as Code (IaC) in Terraform for declarative infrastructure provisioning.

Exposure to SRE practices and GitOps workflows

Ability to self-motivate

Strong analytical, communication, and problem-solving skills.

Fluent in written and spoken English.

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