Senior Cloud Engineer
Location:
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 equal experience)
- 6+ years of hands-on software development experience
- Advanced understanding of developing highly available infrastructures in a cloud service
environment, with either Amazon Web Services or 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 designing and developing Agentic AI systems, including autonomous multi-agent workflows, LLM orchestration frameworks (such as LangChain, LangGraph, or AutoGen), and tool/function-calling integrations is a plus
- Experience on developing Microservices architecture using RESTful Services, 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, FlaskAngular, React, Backbone, Spring etc.)
- Demonstratable proficiency in at least one modern general-purpose programming language (like Java, Go, TypeScript and Python)
- Experience working with automated deployments and source code/configuration management tools (such as 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 of public cloud platforms (AWS or Azure or GCP)
- Proficiency with SQL, relational data modelling, and basic database schema design
- Excellent communicator - ability to discuss technical and solutions to peers, scrum
masters, product owners, etc. - Amazon AWS / Microsoft Azure Google Cloud platform related certifications 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.
