Senior Cloud Engineer

Our Company:
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
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
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. 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)
5+ 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 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.
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.

Work arrangement
Hybrid