What You'll Do: In this role you will have the opportunity to work on the Infrastructure Engineering team to develop our world-class offering of Teradata hybrid-first platform that seamlessly integrates Enterprise Data Warehousing (EDW) with AI and analytics capabilities into a unified Lakehouse architecture. This platform empowers enterprises to manage traditional EDW, data analytics, and advanced AI workloads all within a single environment. The core focus is on delivering customer value through modular workload flexibility, scalability, and the unification of EDW with AI and analytics workloads, along with flexible hybrid deployment options.
In this role you will:
- Work in a team of highly skilled engineers to perform software engineering duties such as: problem analysis, code review, design, develop, test, troubleshoot, document and support.
- Collaborate with cross-functional teams to continuously improve test strategies and processes.
- Conduct end-to-end testing to validate functionality, stability, and integration.
- Evaluate, improve, and maintain information security throughout the virtualized infrastructure
- Drive virtualization best practices across customer enterprise
- Optimize network hardware and software to enable virtualization integration
- Detect early signals of at-risk features and applications about our platform product
- Work with our DevOps team to build and develop test tools and automation
- Coordinate cross-functional processes to deliver customer needs
- Collaborate closely with other organizations outside of Infrastructure Engineering to address new Teradata features and applications
- Perform root cause analysis of customer reported issues
- Contribute to product documentation and manuals
The successful candidate will have a deep understanding of virtualization and will be responsible for designing, implementing, and maintaining our platform infrastructure on-prem solution. They will work closely with cross-functional teams to ensure that our platform infrastructure is efficient, reliable, and scalable.
Who You'll Work With: This position is for a Staff Virtualization Engineer for our Platform Infrastructure team. Our team is comprised of engineers working on developing the latest on-premises solution leveraging the most current virtualization technology (e.g., KVM, VMware), while driving to provide the highest performance on these newest offerings.
What Makes You a Qualified Candidate: - Expert knowledge of virtualization technology including hypervisors and network virtualization
- Expert knowledge of KVM and Harvester
- Expert knowledge of vSphere, vSan, vMotion, vCenter and/or vRa
- Expert knowledge of best practice VMware deployment techniques
- Knowledge of VMWare alternatives (KVM/Nutanix, RedHat/OpenShift)
- Solid knowledge in automating VMware environment using any of the following language PowerCLI, python, go
- Has experience using Infrastructure as Code like Terraform to deploy VMware components
- Has experience debugging issues within vSphere cluster including but not limited to pktcap-uw, esxtop and esxcli
- Expert knowledge of Deploying Virtualization Solutions in an Enterprise environment
- Knowledge of L2 and L3 network protocols
- Strong understanding of cloud technologies, such as AWS, Azure, and GCP
- Knowledge of programming/scripting languages, such as Python, PowerShell, or JavaScript
- VMware Certified Advanced Professional
Minimum Requirements: - Bachelor of Science degree in Computer Science, Computer Engineering, or related discipline with 7+ years of work experience
- Masters degree in Computer Science, Computer Engineering or related discipline with 5+ years of work experience
- PhD in Computer Science, Computer Engineering or related discipline with 2+ years of work experience requirement
What You'll Bring: - Broad understanding of technology and systems while investigating and solving complex problems
- Consolidate or expand reports to communicate effectively to the appropriate audience (e.g., Executives, customers, team members)
- Demonstrate excellent analytical and judgement skills using factual and qualitative information from multiple sources
- Openness to learn new things and work in a collaborative team environment
- Delivers commitments on time with highest quality. Demonstrates speed as a habit and has a bias for action
- Finds ways to learn and evolve, is curious, dives deep and asks questions
