Cloud Engineer

About Teradata

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You Will Do as a Cloud Engineer

As a Cloud Engineer, you will be accountable for the design, development, and deployment of features, enhancements, bug-fixes, applications, and services for the Microsoft Azure, Amazon AWS, and/or Google Cloud Platform. You will leverage agentic AI capabilities to automate routine development tasks, optimize workflows, and proactively identify areas for improvement across cloud engineering processes. Your responsibilities include developing and debugging code, writing comprehensive unit and end-to-end test cases, and participating actively in team Scrum meetings while interacting with various stakeholders. You will maintain the high level of reliability required from a high-volume, high-availability platform and analyze complex issues in existing and new code to provide effective solutions. Collaborating with all development process contributors such as Product Owners, Architects, Scrum Masters, Developers, and DevOps, you will help establish and execute a flawless development process. You will integrate AI-driven decision-making and autonomous agents to enhance CI/CD pipelines, improve resource allocation, and accelerate delivery timelines. Delivering first-class results with enthusiasm and personal commitment, you will apply Agile Software Engineering principles and the DevOps model for continuous delivery. Ensuring lifecycle management, you will maintain documentation such as test cases and source code repositories. Additionally, you will continuously explore and implement AI-based solutions for predictive maintenance, intelligent monitoring, and automated remediation of cloud infrastructure issues.

Who You Will Work With

This team is focused on accelerating cloud adoption among our customers by simplifying cloud backups, data restores, data protection (DR), system provisioning, upgrades, and data management through automation and intuitive user experience. Teradata is committed to bringing multi-cloud products and services across different cloud service providers (AWS, Azure & GCP) to our customers, providing full-lifecycle services to provision, run, and support their data.

What Makes You a Qualified Candidate

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• 2+ years of hands-on software development experience.
• Advanced understanding of developing highly available infrastructures in a cloud services environment (AWS, Microsoft Azure, or Google Cloud Platform).
• Deep understanding of cloud concepts (regions, zones, VMs, containers, VPC, tenants, authentication/security, logging, RDS, shared model, etc.).
• Experience developing Microservices architecture using RESTful Services and Ansible Scripts.
• Expertise with IP networking principles, DNS, certificate management, routing, and load balancing.
• Experience with Linux Operating System.
• Knowledge of modern web frameworks and tools (such as REST, Django, Flask, Angular, React, Backbone, Spring, etc.).
• Demonstrable proficiency in at least one modern general-purpose programming language (Java, C++, Node.js, TypeScript, Go, Python).
• Experience working with automated deployments and source code/configuration management tools (GitHub, AWS CloudFormation, Jenkins, Chef, Ansible, Puppet, Vagrant, Terraform, and similar).
• Ability to work cross-functionally with internal and external partner organizations.
• Deep passion for quality and customer focus.
• Proven experience building services on at least one public cloud platform (AWS, Azure, or GCP).
• Proficiency with SQL, relational data modeling, and basic database schema design.
• Excellent communication skills to discuss technical solutions with peers, Scrum Masters, Product Owners, etc.
• Amazon AWS / Microsoft Azure / Google Cloud Platform-related certifications are a plus.
• Hands-on experience with Agentic AI frameworks for autonomous task execution, workflow optimization, and intelligent orchestration in cloud environments.

What You Will Bring

• Expertise in building cloud-native products and services, leveraging agentic AI for autonomous optimization and intelligent orchestration.
• Expertise in designing & building distributed systems.
• Expertise in software engineering best practices, including AI-assisted code analysis and automated quality checks.
• Expertise with Docker container related technologies like Kubernetes, Mesos, etc.
• Expertise in all phases of the product development lifecycle: Design, develop, test, release & maintenance.
• Experience with supporting mission-critical, 24x7 systems.

Why We Think You’ll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Key skills/competency

• Cloud Platforms (AWS, Azure, GCP)
• Agentic AI
• Microservices Architecture
• DevOps Practices
• Distributed Systems
• Containerization (Docker, Kubernetes)
• Programming (Python, Java)
• Automation (Ansible)
• IP Networking
• SQL & Data Modeling