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-
fix, applications and services for the Microsoft Azure and/or Amazon AWS Platform and/or
Google Cloud Platform. - 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 - Deliver first class results, by handling your tasks with enthusiasm and personal
- 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. are actively used and maintained
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)
- 4+ years of hands-on experience in cloud engineering, infrastructure, or software development roles
- Solid understanding of designing and maintaining highly available infrastructures in a cloud services environment using Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- Good understanding of cloud concepts (regions, zones, VMs, containers, VPC, tenants, authentication/security, logging, RDS, shared model etc.)
- Hands-on experience with virtualization (KVM), container orchestration using Kubernetes, package management with Helm, custom resource management (CRDs), and infrastructure automation using Terraform and Ansible.
- Working experience with Microservices architecture using RESTful Services and automation scripts (Ansible, Bash, or similar)
- Solid understanding of IP networking principles, DNS, certificate management, routing and load balancing
- Hands-on experience with Linux Operating System, including basic administration and troubleshooting
- Familiarity with modern web frameworks and tools (such as REST, Django, Flask, Angular, React, Spring etc.)
- Proficiency in at least one modern general-purpose programming language (such as Python, Java, Node.js, TypeScript, or Go) with a focus on scripting and automation
- Strong hands-on experience with infrastructure-as-code using Terraform for provisioning and managing cloud and on-premises resources across environments
- Proven experience with configuration management and automation using Ansible, including playbook development and role-based automation
- Experience working with CI/CD pipelines and source code/configuration management tools (such as GitHub, Jenkins, Terraform, Ansible, AWS CloudFormation, or similar)
- Ability to collaborate effectively with cross-functional teams including DevOps, security, and application development teams
- Passion for quality, reliability, and customer-focused delivery
- Hands-on experience deploying, managing, and troubleshooting services on at least one public cloud platform (AWS, Azure, or GCP)
- Working knowledge of SQL, relational data modelling, and basic database schema design; familiarity with cloud-native database services (e.g., RDS, Cloud SQL, Azure SQL)
- Good communicator - able to discuss technical concepts and solutions with peers, scrum masters, and product owners
- Active pursuit of or existing Amazon AWS / Microsoft Azure / Google Cloud platform certifications (e.g., AWS Solutions Architect Associate, AZ-900, GCP Associate Cloud Engineer) is a strong plus
- Exposure to Agentic AI concepts, LLM-based automation, or AI/ML cloud services (such as AWS Bedrock, Azure OpenAI, or GCP Vertex AI) is a plus
What you will bring:
- Expertise in building cloud native products and services
- Expertise in designing & building distributed systems
- Expertise in software engineering best practices.
- Expertise with Docker container related technologies like Kubernetes, Mesos etc.
- Expertise in all phases of product development lifecycle - Design, develop, test, release & maintain. s
- Experience with supporting mission critical, 24x7 systems.
