Staff, Cloud Infrastructure Engineer

Join a small advanced research team within the Office of the Chief Technology Officer focused on shaping the next generation of Teradata’s platform.

This role centers on the foundational layer of the system-how compute actually runs. You’ll work close to the hardware and operating system boundary, shaping how resources are provisioned, configured, and optimized across environments spanning bare metal, virtualized systems, containerized platforms, and major cloud providers.

Rather than operating within a fixed platform, you will help define how systems behave at runtime. The environments you design are intended to support highly scalable, performance-sensitive workloads, where efficiency, predictability, and resource utilization matter.

This is work where resource behavior is not abstract-how scheduling, memory, and I/O interact directly determines whether the system performs or degrades.

AI-assisted development is a core part of how this team operates. You’ll use AI tools to rapidly explore ideas, generate implementations, and iterate on system designs. This enables you to operate with the leverage of a much larger team while ensuring systems behave correctly in production.

You’ll work with significant ownership in a small team, using AI-assisted development tools to explore, build, and refine systems with the leverage of a much larger organization-while maintaining direct accountability for how those systems perform under real conditions.

• Own and evolve how compute infrastructure is provisioned and operates across heterogeneous environments, including bare metal, VMs, containers, and cloud platforms
• Define and tune system-level behavior across CPU, memory, storage, and network, including how workloads are scheduled and resources are utilized
• Design repeatable, auditable provisioning and deployment workflows using infrastructure-as-code tools (e.g., Terraform, Pulumi, or similar)
• Shape runtime characteristics such as startup behavior, workload placement, and resource efficiency as systems scale
• Identify and resolve bottlenecks across I/O throughput, network behavior, and provisioning performance
• Use AI-assisted tools to explore and accelerate implementation, refining outputs into production-ready infrastructure

Who You’ll Work With

You will collaborate with control plane engineering to establish a clear and stable foundation for higher-level services.

• Experience working at the systems or infrastructure layer, including OS behavior, runtime environments, or low-level system interactions
• Experience operating Kubernetes (or similar systems), including familiarity with scheduling behavior, node-level characteristics, and cluster lifecycle concerns
• Familiarity with containerization, virtualization, and infrastructure provisioning across cloud and on-premises environments
• Experience designing systems intended to run across multiple environments, with portability and consistency in mind
• Understanding of distributed system behavior, particularly how resource constraints affect performance and scalability
• Experience with observability, profiling, or performance analysis at the system level
• Comfort working in environments where system design and direction are actively evolving

What You’ll Bring

• Exposure to query engines, columnar databases, or analytical data platforms (e.g., Presto, Trino, Spark, DataFusion).
• Background in big data infrastructure or data pipelines - familiarity with the scale and volume of data these systems process.
• Experience with eBPF, kernel performance tuning, or NUMA-aware hardware configuration.
• Contributions to open-source infrastructure tooling

Pay Rate: 132900.0000 - 166100.0000 - 199300.0000 Annually

Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are eligible to participate in the Company’s benefits programs, which generally include health care, life and disability insurance, retirement savings, and time-off programs. Benefit details vary by country and plan, including eligibility and available options, and will be shared during the hiring process. Additional information is available here: https://www.teradata.com/About-Us/Careers/Benefits

Employees in this position are also eligible to participate in the Company’s comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: https://www.teradata.com/About-Us/Careers/Benefits

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.