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'll Do

In this role as a Platform Engineer at Teradata, you will:

Work within a shift-based rotation to maintain 24/5 platform availability, ensuring continuous coverage across time zones and responding to operational needs outside standard business hours.
Apply working knowledge of procedures and concepts in platform and infrastructure engineering, operating within an SRE context focused on reliability, scalability, and cost accountability.
Oversee, monitor, and build CI/CD pipelines, ensuring operational excellence and seamless deployments for internal customers and partners.
Design and implement IaC solutions using CloudFormation and CDK to automate infrastructure management and optimize cloud resources.
Own FinOps practices for the team's cloud footprint: track AWS and Azure spend, set budget alerts, produce regular cost reports, and drive cost reduction actions across compute, storage, and networking.
Design and maintain shared platform services and internal tooling that reduce operational toil and enable team self-service.
Use AI-assisted development tools, including Claude Code and Claude Desktop, as part of day-to-day engineering workflows. Apply AI tooling to accelerate code review, documentation, and platform automation tasks.
Support internal customers and partners, enabling a seamless lab experience and ensuring uninterrupted operations.
Establish best practices for system design, troubleshooting, and incident management, informed by SRE principles such as error budgets and SLAs.
Enhance system reliability by implementing observability best practices and analyzing system metrics to identify improvement opportunities.
Act as a key escalation point for critical operational issues, conducting root cause analysis and sharing insights to prevent recurrence.
Guide new team members without direct supervisory responsibilities.
Resolve problems by identifying and selecting solutions based on acquired expertise, guided by precedents.
Exchange ideas and information concisely and logically across the team and extended stakeholders.

Who You'll Work With

We interact and coordinate within the same department and across the business to achieve Teradata's goals.
You will collaborate with SMEs, internal, customers, and partners to ensure seamless hands-on lab and operational experiences.
You will cross-collaborate with various teams during events, incidents, and continuous improvement initiatives.
You will report to the Team Lead, SRE.

What Makes You a Qualified Candidate

A university degree with a minimum of 4 to 5 years of related experience, or an advanced degree without experience, or equivalent work experience.
Good understanding of cloud platforms, DevOps practices, and SRE principles.
Demonstrated experience with cloud cost management, FinOps tooling, or budget governance in AWS or Azure environments.
Comfort using AI-assisted tools such as LLM-based coding assistants in a professional engineering context.
Willingness and availability to work in a shift-based schedule supporting 24/5 platform operations.

What You'll Bring

Proficiency in the following technologies:

Cloud Platforms: AWS, Azure
Infrastructure as Code (IaC): CloudFormation, CDK
Monitoring & Observability: Grafana, Prometheus, Elastic Stack (ELK)
Scripting & Automation: Bash, Python or Go, SQL
Containerization & Orchestration: Docker, Kubernetes
Database Management: SQL, NoSQL, DynamoDB, Teradata Vantage
CI/CD Pipelines: Jenkins, GitLab CI, or similar
Networking & Security: Cloud networking, IAM, Cognito, best practices
FinOps & Cost Optimization: Cloud spend analysis, tagging governance, budget alerting, cost attribution across teams or workloads
Platform Engineering: Shared internal tooling, developer experience, and service reliability across a multi-cloud environment
AI Tooling: Practical experience with Claude Code, Claude Desktop, or similar AI-assisted development tools; ability to integrate AI workflows into platform and automation tasks
Support & Troubleshooting: Incident management, environment monitoring, issue resolution
Collaboration: Cross-functional coordination with internal customers, partners, and extended teams

A curious person who is always looking for answers, enjoys overcoming challenges, and takes pride in their work.

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.

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