Platform 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'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.

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