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Rackspace Technology Jobs (NOW HIRING)

Rackspace Technology

Sr Forward Deployed Engineer

$165K/yr

As a Sr. Forward Deployed Engineer (Sr. FDE) at Rackspace Technology, you will be embedded directly with our most strategic enterprise customers to architect, build, and deploy high-impact AI ...

Rackspace

Site Reliability Engineer

Windcrest, TX · Remote

$51.50 - $68.25/hr

Rackspace partners with every leading technology provider, including Alibaba, AWS, Google, Microsoft, OpenStack, Oracle, SAP, and VMware. The company is uniquely positioned to provide unbiased ...

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How much do rackspace technology jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for rackspace technology in the United States is $39.20, according to ZipRecruiter salary data. Most workers in this role earn between $30.05 and $44.47 per hour, depending on experience, location, and employer.

What opportunities for professional growth are available for employees at Rackspace Technology?

At Rackspace Technology, employees can access a wide range of professional development resources, including technical training, certification programs, and mentorship opportunities. The company encourages internal mobility, allowing team members to explore different roles and advance their careers within the organization. Regular performance reviews and goal-setting discussions help employees identify growth areas and chart clear advancement paths. Additionally, Rackspace fosters a collaborative environment that supports continuous learning and skill enhancement.

What is the difference between Rackspace Technology vs Cloud Engineer?

AspectRackspace TechnologyCloud Engineer
CredentialsIT certifications, cloud platform knowledgeCloud certifications (AWS, Azure, GCP), technical skills
Work EnvironmentManaged hosting, cloud services, customer supportDesigning, deploying, managing cloud solutions
Employer & IndustryIT service providers, cloud hosting companiesTech companies, consulting firms, cloud service providers
Search & Comparison IntentUnderstanding roles in cloud services, career optionsJob responsibilities, required skills, career path

While both roles involve cloud technology, Rackspace Technology focuses on managed hosting and cloud support services, whereas a Cloud Engineer primarily designs and implements cloud solutions. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What skills and qualifications are needed to thrive as a Cloud Solutions Engineer at Rackspace Technology?

To thrive as a Cloud Solutions Engineer at Rackspace Technology, you need expertise in cloud computing, network architecture, and system administration, often supported by a degree in computer science or related fields. Familiarity with platforms like AWS, Azure, or Google Cloud, along with certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect, is typically required. Strong problem-solving skills, customer orientation, and effective communication are standout soft skills in this role. These skills and qualifications are crucial for designing robust cloud solutions, addressing client needs, and ensuring seamless migration and support.

What is Rackspace Technology?

Rackspace Technology is a leading cloud computing company that provides managed services and expertise for public, private, and hybrid cloud environments. They help businesses design, manage, and optimize their cloud infrastructure using platforms like AWS, Microsoft Azure, Google Cloud, and others. Rackspace offers services such as cloud migration, security, data management, and ongoing technical support to help organizations achieve their IT goals. Their solutions are tailored for businesses of all sizes, aiming to improve efficiency, scalability, and cost-effectiveness.
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Rackspace Technology jobs near you
Infographic showing various Rackspace Technology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $81,527 per year, or $39.2 per hour.

Sr Forward Deployed Engineer

Rackspace Technology

Remote

$165K/yr

Full-time

Posted 16 days ago

Job description

Job Summary: As a Sr. Forward Deployed Engineer (Sr. FDE) at Rackspace Technology, you will be embedded directly with our most strategic enterprise customers to architect, build, and deploy high-impact AI solutions. This role combines deep technical engineering with business acumen, customer empathy, and end-to-end solution ownership. You become the technical bridge between Rackspace's AI platform capabilities and the customer's most pressing business challenges. You will own the full solution lifecycle from problem discovery and rapid prototyping through production deployment and continuous optimization while feeding field insights back to our product and platform engineering teams.
This role is ideal for someone who thrives at the intersection of engineering, strategy, and customer engagement and wants the autonomy and impact typically found at an AI startup, backed by the scale and resources of a global technology company.
Work Location/Travel:
  • You may work 100% remotely.
  • Travel up to 25% for on-site customer engagements.

Key Responsibilities:
  • Diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site.
  • Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.
  • Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks.
  • Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization.
  • Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes).
  • Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks.
  • Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI).
  • Ship with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management.
  • Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production.
  • Identify expansion opportunities by working with sales and customer success to uncover high-value use cases across new business domains.
  • Feed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements.
  • Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements.
  • Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.

Required Qualifications:
  • Must be Palantir certified.
  • 10+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles.
  • Proven track record in building and deploying AI/ML applications in production at enterprise scale.
  • Deep full-stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases.
  • Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks.
  • Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns.
  • Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures.
  • Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines.
  • Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration.
  • Experience with Palantir Foundry, AIP, ontology modeling, Uniphore BAIC, or similar Enterprise AI development platforms.
  • Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks.
  • Experience building agentic AI solutions: multi-agent systems, tool use, and autonomous workflow orchestration.
  • Familiarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware).
  • Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles.
  • Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.
  • Experience with knowledge graphs, semantic modeling, and ontology-driven data management.
Our compensation reflects the cost of labor across several geographic markets. The compensation range for this position ranges from $165,830.00/year in our lowest geographic market up to 243,141.80 USD/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Learn more about benefits at Rackspace.
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.

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