Staff Virtualization Engineer - 220186
Teradata
Our CompanyAt 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 DoIn 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 infrastructureDrive virtualization best practices across customer enterpriseOptimize network hardware and software to enable virtualization integrationDetect early signals of at-risk features and applications about our platform productWork with our DevOps team to build and develop test tools and automationCoordinate cross-functional processes to deliver customer needsCollaborate closely with other organizations outside of Infrastructure Engineering to address new Teradata features and applicationsPerform root cause analysis of customer reported issuesContribute to product documentation and manualsThe 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 WithThis 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 CandidateExpert knowledge of virtualization technology including hypervisors and network virtualizationExpert knowledge of KVM and HarvesterExpert knowledge of vSphere, vSan, vMotion, vCenter and/or vRaExpert knowledge of best practice VMware deployment techniquesKnowledge of VMWare alternatives (KVM/Nutanix, RedHat/OpenShift)Solid knowledge in automating VMware environment using any of the following language PowerCLI, python, goHas experience using Infrastructure as Code like Terraform to deploy VMware componentsHas experience debugging issues within vSphere cluster including but not limited to pktcap-uw, esxtop and esxcliExpert knowledge of Deploying Virtualization Solutions in an Enterprise environmentKnowledge of L2 and L3 network protocolsStrong understanding of cloud technologies, such as AWS, Azure, and GCPKnowledge of programming/scripting languages, such as Python, PowerShell, or JavaScriptVMware Certified Advanced ProfessionalMinimum RequirementsBachelor of Science degree in Computer Science, Computer Engineering, or related discipline with 7+ years of work experienceMasters degree in Computer Science, Computer Engineering or related discipline with 5+ years of work experiencePhD in Computer Science, Computer Engineering or related discipline with 2+ years of work experience requirementWhat You’ll BringBroad understanding of technology and systems while investigating and solving complex problemsConsolidate 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 sourcesOpenness to learn new things and work in a collaborative team environmentDelivers commitments on time with highest quality. Demonstrates speed as a habit and has a bias for actionFinds ways to learn and evolve, is curious, dives deep and asks questions Why we think you will love TeradataWe 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.#LI-SK1Teradata is proud to be an equal opportunity 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. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.
$162.6k - $244k
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$180k - $220k
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$177k - $265.6k
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$212k - $318k
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$200k - $275k
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$160.2k - $240.2k
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