The foundation

Take the time

Be well

Family planning

Flexible working

Large

Excellence

Customer-driven

Expertise

Agility

Compassion

Rackspace is a leading managed cloud computing company that provides a range of services to help businesses manage their cloud infrastructure and applications. They offer services such as cloud hosting, managed services, data analytics, and security solutions. Rackspace's ultimate mission is to be the trusted partner for businesses navigating the complex world of cloud computing, offering expertise and support to maximise the benefits of cloud technology. Their purpose is to empower businesses to succeed in the digital age by providing reliable and scalable cloud solutions that enhance agility, performance, and security. Rackspace aims to simplify the cloud journey for their clients, enabling them to focus on their core business while leveraging the power of the cloud to drive innovation and achieve their strategic goals.

Technology

Rackspace Technology

You must be a Junior/Senior in accounting/finance, available 20-28 hours/week, have basic accounting/tax knowledge, strong Excel skills, and excellent communication abilities.

You will assist with sales and use tax returns, audit support, tax record maintenance, journal entries, data organization in Excel, and perform tax research under close supervision.

Accounting & Tax

San Antonio

<div>
 <div>
  <div>
   <b>PRIMARY RESPONSIBILITY: </b>The Indirect Tax Intern will assist the Indirect tax team with the preparation of sales and use tax returns, state compliance, monthly close process, state tax audits, property tax filings, maintaining company tax records and files, and performing research related to use tax filings.
  </div>
  <div></div>
  <div>
   <b><br> Must have availability to work 20-28 hours a week Monday through Friday during regular business hours (Between 8 am CT and 5 pm CT) </b><b>at our San Antonio office 2 days a week.<br> </b>
  </div>
 </div>
 <div></div><br> <br>
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>SKILLS/KNOWLEDGE</b></h3>
   <ul>
    <ul>
     <li>Basic knowledge of accounting and tax.</li>
     <li>Good time management, communication, decision-making, presentation, human relations, and organizational skills.</li>
     <li>Microsoft Office (Excel, Word, and Outlook) and the ability to learn new programs.</li>
    </ul>
   </ul>
  </div>
 </div>
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>JOB COMPLEXITY</b></h3>
   <ul>
    <ul>
     <li>Assists with the preparation of monthly Sales and Use Tax returns.</li>
     <li>Prepares monthly journal entries and account reconciliations.</li>
     <li>Maintains company tax records and files.</li>
     <li>Provide audit assistance by pulling and organizing requested information from auditors.</li>
     <li>Process and validate exemption certificates while providing Fanatical Support to our customers and billing team.</li>
     <li>Prepares and updates statistical and financial reports, both on a regular and specially assigned basis.</li>
     <li>Performs tax research as needed.</li>
     <li>Organizes data in Excel.</li>
     <li>Operates under close supervision, with careful review of completed assignments.</li>
    </ul>
   </ul>
  </div>
 </div>
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>EXPERIENCE</b></h3>
   <ul>
    <ul>
     <li>Junior or Senior student pursuing a Bachelor's degree in accounting or finance.</li>
     <li>Experience with tax compliance or accounting is preferred.</li>
     <li>Additional qualifications include a good working knowledge of Microsoft Excel and a detail-oriented, well-organized individual with excellent verbal and written skills.</li>
    </ul>
   </ul>
  </div>
 </div>
 <div>
  <div>
   <b>Must have availability to work 20-28 hours a week Monday through Friday during regular business hours (Between 8 am CT and 5 pm CT) </b><b>at our San Antonio office 2 days a week.<br> </b>
  </div>
  <div></div><br>
  <div>
   #LI-AW2
  </div>
  <div></div>
  <div>
   <b><br> About Rackspace Technology</b>
  </div>
  <div>
   We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
  </div>
  <div>
  </div>
  <div>
   <b> More on Rackspace Technology</b>
  </div>
  <div>
   Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
  </div>
 </div>
</div>
<div></div>


 
  
   PRIMARY RESPONSIBILITY: The Indirect Tax Intern will assist the Indirect tax team with the preparation of sales and use tax returns, state compliance, monthly close process, state tax audits, property tax filings, maintaining company tax records and files, and performing research related to use tax filings.
  
  
  
    Must have availability to work 20-28 hours a week Monday through Friday during regular business hours (Between 8 am CT and 5 pm CT) at our San Antonio office 2 days a week. 
  
 
  
 
  
   SKILLS/KNOWLEDGE
   
    
     Basic knowledge of accounting and tax.
     Good time management, communication, decision-making, presentation, human relations, and organizational skills.
     Microsoft Office (Excel, Word, and Outlook) and the ability to learn new programs.
    
   
  
 
 
  
   JOB COMPLEXITY
   
    
     Assists with the preparation of monthly Sales and Use Tax returns.
     Prepares monthly journal entries and account reconciliations.
     Maintains company tax records and files.
     Provide audit assistance by pulling and organizing requested information from auditors.
     Process and validate exemption certificates while providing Fanatical Support to our customers and billing team.
     Prepares and updates statistical and financial reports, both on a regular and specially assigned basis.
     Performs tax research as needed.
     Organizes data in Excel.
     Operates under close supervision, with careful review of completed assignments.
    
   
  
 
 
  
   EXPERIENCE
   
    
     Junior or Senior student pursuing a Bachelor's degree in accounting or finance.
     Experience with tax compliance or accounting is preferred.
     Additional qualifications include a good working knowledge of Microsoft Excel and a detail-oriented, well-organized individual with excellent verbal and written skills.
    
   
  
 
 
  
   Must have availability to work 20-28 hours a week Monday through Friday during regular business hours (Between 8 am CT and 5 pm CT) at our San Antonio office 2 days a week. 
  
  
  
   #LI-AW2
  
  
  
    About Rackspace Technology
  
  
   We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
  
  
  
  
    More on Rackspace Technology
  
  
   Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
  
 



Indirect Tax Intern (Hybrid in San Antonio, TX) - Rackspace Technology

Rackspace

Indirect Tax Intern (Hybrid in San Antonio, TX)

You must have expertise in Java, distributed systems, machine learning, DevOps, performance optimization, and GCP Vertex AI. Strong communication skills and proactive problem-solving abilities are essential.

You will design, develop, and optimize backend systems, integrate ML models, resolve issues proactively, implement DevOps practices, and maintain documentation while collaborating with cross-functional teams.

<div>
 <div>
  <div>
   We are seeking a highly experienced Senior Backend Java Engineercombined with Data and Machine learning experience with a minimum of 8 years of industry experience. The ideal candidate will be an independent contributor, self-driven, and possess excellent communication and collaboration skills. This role requires close interaction with the Research team and Product Managers to bring machine learning models into production.
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Requirements:</b></h3>
   <ul>
    <ul>
     <li><b> Collaborate and Integrate:</b> Work closely with the Research team and Product Managers to understand requirements and translate them into robust backend solutions. Ensure seamless integration of machine learning models into production environments.</li>
     <li><b> Design and Development:</b> Architect, design, and develop distributed, scalable, and high-performance software solutions. Apply best practices in software engineering to ensure code quality, reliability, and maintainability.</li>
     <li><b> Proactive Issue Resolution:</b> Take initiative to identify potential issues and proactively resolve them. Ensure the robustness and reliability of the backend systems through continuous monitoring and improvement.</li>
     <li><b> Operability Measures:</b> Implement and maintain operability measures such as logging, monitoring, alerting, and debugging. Ensure that systems are always running smoothly and any issues are quickly addressed.</li>
     <li><b> DevOps Practices:</b> Embrace DevOps methodologies to streamline the development and deployment process. Utilize CI/CD pipelines and build tools like Maven and Gradle to ensure efficient and reliable software delivery.</li>
     <li><b> Performance Optimization:</b> Continuously analyze and optimize the performance of backend systems. Ensure that applications can handle high volumes of traffic and data efficiently.</li>
     <li><b> Documentation and Best Practices:</b> Create and maintain comprehensive documentation for the backend systems and processes. Share best practices with the team and contribute to a culture of continuous improvement.</li>
    </ul>
   </ul>
  </div>
 </div>
 <br> 
 <div></div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b> Must Have: </b></h3>
   <ul>
    <ul>
     <li><b>Proficiency in Java:</b> Demonstrable expertise in Java programming, with a deep understanding of its ecosystem and best practices.</li>
     <li><b> Experience in Distributed Systems:</b> Proven experience in designing, developing, and maintaining distributed, scalable, and high-performance software. Ability to handle complex system architectures.</li>
     <li><b> Machine Learning and Big Data:</b> Practical knowledge of machine learning algorithms and big data technologies. Experience with Hadoop, Oozie, Pig, Hive, HBase , Vertex AI and AutoML along with machine learning frameworks( TensorFlow, PyTorch) and libraries (e.g., scikit-learn)</li>
     <li><b> Collaboration and Communication:</b> Strong ability to work collaboratively with cross-functional teams, including researchers and product managers. Excellent communication skills to effectively convey technical concepts and ideas.</li>
     <li><b> Proactivity:</b> Ability to take initiative and be proactive in identifying and resolving issues. Strong problem-solving skills and a can-do attitude.</li>
     <li><b> Operability Experience:</b> Experience with implementing and maintaining operability measures such as logging, monitoring, alerting, and debugging. Ensuring system health and reliability.</li>
     <li><b> DevOps Practices:</b> Familiarity with DevOps practices, CI/CD pipelines, and build tools like Maven and Gradle. Experience with automation and continuous integration.</li>
     <li><b> Performance Optimization:</b> Ability to analyze and optimize system performance. Ensuring applications can handle high volumes of traffic and data efficiently.</li>
     <li><b> Containerization:</b> Knowledge of containerization technologies such as Kubernetes (K8S) and Docker. Experience with container orchestration and management.</li>
     <li><b> GCP Vertex AI:</b> Experience with Google Cloud Platform (GCP) Vertex AI. Ability to leverage cloud-based tools and services for machine learning and data processing.</li>
    </ul>
   </ul>
  </div>
 </div>
 <div></div>
 <div>
  <div>
   <b><br> About Rackspace Technology</b>
  </div>
  <div>
    We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
  </div>
  <div></div>
  <div>
   <br> 
  </div>
  <div>
   <b> More on Rackspace Technology</b>
  </div>
  <div>
    Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
  </div>
 </div>
</div>
<div></div>


 
  
   We are seeking a highly experienced Senior Backend Java Engineercombined with Data and Machine learning experience with a minimum of 8 years of industry experience. The ideal candidate will be an independent contributor, self-driven, and possess excellent communication and collaboration skills. This role requires close interaction with the Research team and Product Managers to bring machine learning models into production.
  
  
 
  
   Requirements:
   
    
      Collaborate and Integrate: Work closely with the Research team and Product Managers to understand requirements and translate them into robust backend solutions. Ensure seamless integration of machine learning models into production environments.
      Design and Development: Architect, design, and develop distributed, scalable, and high-performance software solutions. Apply best practices in software engineering to ensure code quality, reliability, and maintainability.
      Proactive Issue Resolution: Take initiative to identify potential issues and proactively resolve them. Ensure the robustness and reliability of the backend systems through continuous monitoring and improvement.
      Operability Measures: Implement and maintain operability measures such as logging, monitoring, alerting, and debugging. Ensure that systems are always running smoothly and any issues are quickly addressed.
      DevOps Practices: Embrace DevOps methodologies to streamline the development and deployment process. Utilize CI/CD pipelines and build tools like Maven and Gradle to ensure efficient and reliable software delivery.
      Performance Optimization: Continuously analyze and optimize the performance of backend systems. Ensure that applications can handle high volumes of traffic and data efficiently.
      Documentation and Best Practices: Create and maintain comprehensive documentation for the backend systems and processes. Share best practices with the team and contribute to a culture of continuous improvement.
    
   
  
 
  
  
 
  
    Must Have: 
   
    
     Proficiency in Java: Demonstrable expertise in Java programming, with a deep understanding of its ecosystem and best practices.
      Experience in Distributed Systems: Proven experience in designing, developing, and maintaining distributed, scalable, and high-performance software. Ability to handle complex system architectures.
      Machine Learning and Big Data: Practical knowledge of machine learning algorithms and big data technologies. Experience with Hadoop, Oozie, Pig, Hive, HBase , Vertex AI and AutoML along with machine learning frameworks( TensorFlow, PyTorch) and libraries (e.g., scikit-learn)
      Collaboration and Communication: Strong ability to work collaboratively with cross-functional teams, including researchers and product managers. Excellent communication skills to effectively convey technical concepts and ideas.
      Proactivity: Ability to take initiative and be proactive in identifying and resolving issues. Strong problem-solving skills and a can-do attitude.
      Operability Experience: Experience with implementing and maintaining operability measures such as logging, monitoring, alerting, and debugging. Ensuring system health and reliability.
      DevOps Practices: Familiarity with DevOps practices, CI/CD pipelines, and build tools like Maven and Gradle. Experience with automation and continuous integration.
      Performance Optimization: Ability to analyze and optimize system performance. Ensuring applications can handle high volumes of traffic and data efficiently.
      Containerization: Knowledge of containerization technologies such as Kubernetes (K8S) and Docker. Experience with container orchestration and management.
      GCP Vertex AI: Experience with Google Cloud Platform (GCP) Vertex AI. Ability to leverage cloud-based tools and services for machine learning and data processing.
    
   
  
 
 
 
  
    About Rackspace Technology
  
  
    We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
  
  
  
    
  
  
    More on Rackspace Technology
  
  
    Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
  
 



Sr Backend Java ML Engineer- US Remote - Rackspace Technology

United States

Sr Backend Java ML Engineer- US Remote

You need 10+ years in data solutions, 5+ Azure platform deployments, skills in Data Factory, Synapse, Databricks, Spark, SQL, Python, and Scala. Experience with real-time data, analytics strategy, and Agile is essential.

You will design and implement data platforms on Azure, collaborate with teams on data structures, ensure data security, educate clients on cloud services, and be their main liaison for data projects.

<div>
 <div>
  <div>
   In this role you will be helping to grow the Rackspace Cloud data practice. You will be the expert in the region and support the delivery of our data projects on Azure. Our Data Architects are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks, will serve as the Data SME for our customers and be the focal touchpoint in engagements. 
  </div>
  <div> 
  </div>
  <div>
   As the expert you’ll be involved in presenting to customers at events and promoting our capabilities to Azure. With a large Azure data team of over 250+ globally it is also an opportunity to mentor and shape the data practice during our growth phase.
  </div>
  <div> 
  </div>
  <div>
    More generally, Data Architect are the cornerstone of our delivery success, overseeing our most strategic accounts. They are empowered to make key delivery decisions and work closely with technical resources as well as our Engagement/Project Managers to ensure our customers experience successful outcomes.
  </div>
  <div> 
  </div>
  <div>
    If you get a thrill from working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you.
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>In a highly Collaborative Environment, you will:</b></h3>
   <ul>
    <ul>
     <li> Lead, define and implement end-to-end modern data platforms on Azure public cloud using 1st party services in support of analytics and AI use cases</li>
     <li> Design and Drive reusable assets, growing Analytics and DevOps capability</li>
     <li> Solution &amp; Deliver Modern Data Platforms and Advanced Analytics solutions for clients</li>
     <li> Collaborate with enterprise architects, data architects, ETL developers &amp; engineers, data scientists, and information designers to lead the identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities</li>
     <li> Address aspects such as data privacy &amp; security, data ingestion &amp; processing, data storage &amp; compute, analytical &amp; operational consumption, data modelling, data virtualization, self-service data preparation &amp; analytics, AI enablement, and API integrations</li>
     <li> Be the technical liaison between customers and engineering teams</li>
     <li> Be a data evangelist by educating a variety of customers on the value of cloud and data services</li>
     <li> Present recommendations to clients using both written deliverables and face-to-face discussions</li>
     <li> Develop deep relationships with clients and act as the single point of contact for client executives on data engagements</li>
    </ul>
   </ul>
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Key Requirements:</b></h3>
   <ul>
    <ul>
     <li> 10+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud</li>
     <li> At least 5 full lifecycle data platform deployments on Azure using 1st party Services.</li>
     <li> Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, </li>
     <li>Strong Spark, SQL, Data Modeling, Data lakehouse concepts.</li>
     <li> Strong programming/scripting experience using python and scala.</li>
     <li> Strong Experience using Data &amp; AI tools such as Azure Storage, Stream Analytics, CosmosDB, SQL DW, Azure Databricks, Azure Machine Learning, Azure Data Catalog, and Azure Data Factory (ADF), Blob, Azure SQL, Polybase, Delta, Engineering Pipeline Design, Azure Technical Architecture and Data Lake Design</li>
     <li> 8+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads</li>
     <li> 5+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics</li>
     <li> 5+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required.</li>
     <li> Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders</li>
     <li> Experience with Agile development methods in data-oriented projects</li>
     <li> Experience with Dashboarding and Reporting Tools used in the industry (Tableau, Power BI, Qlik, etc.)</li>
     <li> Certifications in architecture, data engineering and development from AZURE (Preferred) / AWS / GCP.</li>
     <li> Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.</li>
    </ul>
   </ul>
  </div>
 </div> 
 <div>
  <div>
   The following information is required by the Colorado Equal Pay Transparency Act and the New York City Pay Transparency Act. This applies only to individuals working in the state of Colorado or in New York City.
  </div>
  <div></div>
  <div>
   <br> The anticipated starting pay range of Colorado and New York City applicants for this role is $143,700 - 204,000 and $ 167,400 - 223,200. Based on eligibility, compensation for the role may include variable compensation in the form of bonus, commissions, or other discretionary payments.
   <br> 
  </div>
  <div></div>
  <br> 
  <div>
   These discretionary payments are based on company and/or individual performance, and may change at any time.
   <br> 
  </div>
  <div></div>
  <br> 
  <div>
   Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location.
  </div>
  <div></div>
  <div>
   <br> Information on benefits offered is here.
  </div>
  <div></div>
  <div>
   <br> #LI-VM1
  </div>
  <div>
    #LI-Remote
  </div>
  <div>
    #LI-USA
  </div>
  <div>
    #rackspace
  </div>
  <div></div>
  <div>
   <br> #LI-VM1
  </div>
  <div>
    #LI-Rackspace
  </div>
  <div>
    #Rackspace
  </div>
  <div>
    #LI-USA
  </div>
  <div>
    #LI-Canda
  </div>
  <div>
    #LI-Remote
  </div>
 </div>
</div>


 
  
   In this role you will be helping to grow the Rackspace Cloud data practice. You will be the expert in the region and support the delivery of our data projects on Azure. Our Data Architects are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks, will serve as the Data SME for our customers and be the focal touchpoint in engagements. 
  
   
  
  
   As the expert you’ll be involved in presenting to customers at events and promoting our capabilities to Azure. With a large Azure data team of over 250+ globally it is also an opportunity to mentor and shape the data practice during our growth phase.
  
   
  
  
    More generally, Data Architect are the cornerstone of our delivery success, overseeing our most strategic accounts. They are empowered to make key delivery decisions and work closely with technical resources as well as our Engagement/Project Managers to ensure our customers experience successful outcomes.
  
   
  
  
    If you get a thrill from working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you.
  
  
 
  
   In a highly Collaborative Environment, you will:
   
    
      Lead, define and implement end-to-end modern data platforms on Azure public cloud using 1st party services in support of analytics and AI use cases
      Design and Drive reusable assets, growing Analytics and DevOps capability
      Solution & Deliver Modern Data Platforms and Advanced Analytics solutions for clients
      Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead the identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
      Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
      Be the technical liaison between customers and engineering teams
      Be a data evangelist by educating a variety of customers on the value of cloud and data services
      Present recommendations to clients using both written deliverables and face-to-face discussions
      Develop deep relationships with clients and act as the single point of contact for client executives on data engagements
    
   
  
  
 
  
   Key Requirements:
   
    
      10+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud
      At least 5 full lifecycle data platform deployments on Azure using 1st party Services.
      Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, 
     Strong Spark, SQL, Data Modeling, Data lakehouse concepts.
      Strong programming/scripting experience using python and scala.
      Strong Experience using Data & AI tools such as Azure Storage, Stream Analytics, CosmosDB, SQL DW, Azure Databricks, Azure Machine Learning, Azure Data Catalog, and Azure Data Factory (ADF), Blob, Azure SQL, Polybase, Delta, Engineering Pipeline Design, Azure Technical Architecture and Data Lake Design
      8+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
      5+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics
      5+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required.
      Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders
      Experience with Agile development methods in data-oriented projects
      Experience with Dashboarding and Reporting Tools used in the industry (Tableau, Power BI, Qlik, etc.)
      Certifications in architecture, data engineering and development from AZURE (Preferred) / AWS / GCP.
      Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.
    
   
  
  
 
  
   The following information is required by the Colorado Equal Pay Transparency Act and the New York City Pay Transparency Act. This applies only to individuals working in the state of Colorado or in New York City.
  
  
  
    The anticipated starting pay range of Colorado and New York City applicants for this role is $143,700 - 204,000 and $ 167,400 - 223,200. Based on eligibility, compensation for the role may include variable compensation in the form of bonus, commissions, or other discretionary payments.
    
  
  
   
  
   These discretionary payments are based on company and/or individual performance, and may change at any time.
    
  
  
   
  
   Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location.
  
  
  
    Information on benefits offered is here.
  
  
  
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Sr. Data Engineering Delivery Architect (Azure Data Services) - Rackspace Technology

Canada

Sr. Data Engineering Delivery Architect (Azure Data Services)

You need strong ML inference system design skills, experience with TensorFlow or Keras, knowledge of algorithms and NLP, proficiency in a programming language, and experience in the Hadoop ecosystem and cloud services.

You will optimize data infrastructure, develop inference systems for various models, collaborate to align business with tech solutions, and mentor the engineering team.

<div>
 <div>
  <div>
   About the Role:
  </div>
  <div></div>
  <div>
   <br> We are looking for a seasoned Senior Machine Learning Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>What you will be doing:</b></h3>
   <ul>
    <ul>
     <li> Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.</li>
     <li> Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.</li>
     <li> Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.</li>
     <li> Provide technical leadership and mentorship to foster a high-performing engineering team.</li>
    </ul>
   </ul>
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Requirements:</b></h3>
   <ul>
    <ul>
     <li> Proven track record in designing and implementing cost-effective and scalable ML inference systems.</li>
     <li> Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.</li>
     <li> Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.</li>
     <li> Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management.</li>
     <li> Expert-level proficiency in at least one programming language such as Java, Python, or C++.</li>
     <li> Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.</li>
     <li> Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li>
     <li> Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).</li>
     <li> Expertise in public cloud services, particularly in GCP and Vertex AI.</li>
    </ul>
   </ul>
  </div>
 </div> 
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Must have:</b></h3>
   <ul>
    <ul>
     <li> Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.</li>
     <li> In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.</li>
     <li> Technical degree: Bachelor's degree in Computer Science with a minimum of 8 years of relevant industry experience, or </li>
     <li>A Master's degree in Computer Science with at least 6 years of relevant industry experience. </li>
     <li>A specialization in Machine Learning is preferred.</li>
    </ul>
   </ul>
  </div>
 </div> 
 <div>
  <div>
   #LI-VM1
  </div>
  <div>
    #Rackspace
  </div>
  <div>
    #LI-Rackspace
  </div>
  <div>
    #LI-USA
  </div>
  <div>
    #LI-Remote
  </div>
  <div></div>
  <div>
   <b><br> About Rackspace Technology</b>
  </div>
  <div>
    We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
  </div>
  <div></div>
  <div>
   <br> 
  </div>
  <div>
   <b> More on Rackspace Technology</b>
  </div>
  <div>
    Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
  </div>
 </div>
</div>
<div></div>


 
  
   About the Role:
  
  
  
    We are looking for a seasoned Senior Machine Learning Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.
  
  
 
  
   What you will be doing:
   
    
      Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
      Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.
      Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.
      Provide technical leadership and mentorship to foster a high-performing engineering team.
    
   
  
  
 
  
   Requirements:
   
    
      Proven track record in designing and implementing cost-effective and scalable ML inference systems.
      Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
      Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
      Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management.
      Expert-level proficiency in at least one programming language such as Java, Python, or C++.
      Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.
      Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.
      Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
      Expertise in public cloud services, particularly in GCP and Vertex AI.
    
   
  
  
 
  
   Must have:
   
    
      Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.
      In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.
      Technical degree: Bachelor's degree in Computer Science with a minimum of 8 years of relevant industry experience, or 
     A Master's degree in Computer Science with at least 6 years of relevant industry experience. 
     A specialization in Machine Learning is preferred.
    
   
  
  
 
  
   #LI-VM1
  
  
    #Rackspace
  
  
    #LI-Rackspace
  
  
    #LI-USA
  
  
    #LI-Remote
  
  
  
    About Rackspace Technology
  
  
    We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
  
  
  
    
  
  
    More on Rackspace Technology
  
  
    Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
  
 

