Rackspace Technology
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Lead large strategic pursuits, architect multi-service line deals, work with sales and delivery teams to create winning proposals, define unique solutions, create pricing benchmarks, lead a team of Enterprise architects, collaborate with service line teams and ensure quality of solutions, analyze team documentation, provide comprehensive solutions, and create reports on Presales status.
The Presales Data Architect - AWS role involves providing technical pre-sales and post-sales support for analytics and data science engagements, leading end-to-end modern data platform implementations, collaborating with various stakeholders, defining and managing proof-of-concepts, and driving deal strategies. The candidate must have extensive experience in data engineering and data science, familiarity with a range of analytics and data science tools, expertise in lakehouse technologies, ML tools, DataOps principles, and strong programming/scripting skills.
The AWS Cloud Engineer II will provide Fanatical Support for AWS customers, including assisting with provisioning, modifying, and troubleshooting Cloud environments. They will also help customers optimize their workloads using AWS and 3rd-party tool-chains.
Help grow the Rackspace Cloud data practice by supporting sales of data projects on Azure. Consult with customers to propose solutions using Azure Cloud. Evangelize Rackspace Data Services value proposition, engage with customers early in their transformation journey, and establish credentials as a data transformation partner.
Presales Data Architect role at Rackspace Cloud data practice, supporting sales of data projects on AWS. Requires technical depth, interpersonal skills, and consultative engagements with customers. Evangelizes Rackspace Data Services value proposition and engages with customers in their data transformation journey. Works with various customer stakeholders to propose solutions using AWS Cloud.
Lead large and strategic pursuits, architect multi-service line deals, collaborate with internal teams, create high-quality solutions, manage a team of enterprise architects, drive efficiencies, and provide comprehensive solutions in the cloud computing space. Requires 10+ years of experience in presales, solution engineering, and solution architecture with a strong technical knowledge in AWS, Azure, and GCP services.
The candidate will assume ownership of the Rackspace Public Cloud Cyber Defense Center (RCDC) with previous experience running a Global SOC function. Responsibilities include leading a team, driving growth through next-gen capabilities, and delivering quality service to customers.
AWS Cloud Engineers at Rackspace provide industry-leading Fanatical Support for AWS customers, optimizing workloads, building, deploying, and scaling using AWS and 3rd party tools. Responsibilities include provisioning Cloud environments, assisting with backups and monitoring, troubleshooting, and driving customer satisfaction through Fanatical Support.
Rackspace Technology is seeking an experienced Cloud Engineer with expertise in Google Cloud design and implementation. The candidate will collaborate on complex solutions, demonstrate technical depth in DevOps tools, and have hands-on experience with various programming languages and cloud technologies. This remote position requires strong problem-solving skills and mentorship abilities.
Design and develop software for Enterprise Services, work on challenging projects, build full stack applications on cloud native distributed systems, automate business processes, develop monitoring solutions, and support internal tools. Requires 3+ years of experience, Bachelor's degree, expertise in GCP DevOps, CI/CD, Java, Go, PostgreSQL, and GraphQL.
Seeking a highly skilled Senior Big Data Engineer with expertise in GCP, Airflow, Oozie, and other related technologies to build and scale stream and batch processing systems. Remote work environment with focus on automation and DevOps best practices.
Seeking a Senior Big Data Engineer with expertise in Oozie, Airflow, Apache Hadoop, GCP, Java, Spark, Python, and experience in developing batch processing systems. Remote work environment, requiring strong communication skills and ability to solve complex problems independently.
Design, automate, and deploy cloud services that can self-heal, with a focus on infrastructure-as-code. Solve evolving complex business problems and contribute to technical quality and innovation in projects. Travel to client locations may be required.
Rackspace Technology is seeking a highly specialized and senior solution architect to develop secured architectures for customers. The architect will engage with customers at various levels, operate as a trusted advisor, create multi-faceted solutions, and support product roadmap development. Required knowledge includes cybersecurity, cloud, applications, data, and security-sensitive industries.
Develops and implements learning and development strategy, collaborates with stakeholders to design solutions, leads training program design and development, focuses on technical training offerings.
Seeking a Senior DevOps Engineer with experience in AWS and running public infrastructure. Responsible for designing and implementing scalable software services, building out cloud solutions, and presenting architecture to clients. Must have strong technical expertise and be able to optimize workloads using AWS and automation principles.
Senior Big Data Infrastructure Engineer role focusing on developing and scaling stream and batch processing systems, implementing automation/DevOps best practices, working with GCP managed services, and operating solutions in a remote setting. Requires strong programming skills in Java and Python.
Seeking a Senior Big Data Infrastructure Engineer with expertise in developing and scaling data processing systems, working with GCP, implementing automation/DevOps best practices, and facilitating remote work. Responsibilities include building reusable infrastructure, creating automation, and participating in client work sessions. Must have 4+ years of customer-facing technology experience, Google Cloud certifications, and a technical degree in Computer Science or related field.
Seeking a highly skilled Senior Big Data Engineer with expertise in developing batch processing systems using Oozie, Airflow, Hadoop, and GCP. Must have strong programming skills in Java and Python, and experience with cloud-based batch processing systems.
Seeking a Senior Big Data Engineer with expertise in building stream and batch processing systems at scale using GCP technologies. Responsibilities include developing reusable code, implementing automation best practices, and solving complex problems independently. Requires strong programming skills in Java and Python, experience in public cloud platforms, and remote work capabilities.