Job
Description
Our company:
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:
Accountable for the design, development, and deployment of features, enhancements, bug-fixes, applications, and services for the Microsoft Azure and/or Amazon AWS Platform and/or Google Cloud Platform.
Leverage agentic AI capabilities to automate routine development tasks, optimize workflows, and proactively identify areas for improvement across cloud engineering processes.
Develop, debug code, and write unit and end-to-end test cases.
Participate in team Scrum meetings and interact with various stakeholders.
Maintain the level of reliability required from a high-volume, high-availability platform.
Analyze and solve (complex) issues in existing and new code.
Work with all development process contributors, e.g., Product Owners, Architects, Scrum Masters, Developers, and DevOps to establish and execute a flawless development process.
Integrate AI-driven decision-making and autonomous agents to enhance CI/CD pipelines, improve resource allocation, and accelerate delivery timelines.
Deliver first-class results by handling your tasks with enthusiasm and personal commitment.
Apply Agile Software Engineering principles and DevOps model for continuous delivery.
Ensure lifecycle management consists of documentation such as test cases, source code repositories, etc., that are actively used and maintained.
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 to accelerate cloud adoption amongst our customers, it simplifies Cloud backups, data restores, data protection (DR), system provisioning, upgrades and data management using automation and intuitive user experience.
Teradata is bringing multi-cloud products and services (across different cloud service providers – AWS, Azure & GC) to our customers and provides full-lifecycle services to provision, run, and support our customer’s data.
What makes you a qualified candidate:
Bachelor’s degree in computer science (or related field) or equivalent experience.
7+ years of hands-on software development experience.
Advanced understanding of developing highly available infrastructures in a cloud services environment, with either Amazon Web Services, 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).
Must be able to work cross-functionally with other 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 communicator – ability 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 product development lifecycle - Design, develop, test, release & maintenance.
Experience with supporting mission critical, 24x7 systems.
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