Rackspace is a leading provider of cloud computing services and IT infrastructure solutions.

Rackspace is seeking a Data Engineer III to join their Public Cloud - Offerings and Delivery – Cloud Data Services team. This role offers a unique opportunity to work with cutting-edge data technologies and cloud platforms. The position involves managing and operating various data tools including Tableau, Databricks, DBT, and AWS services.

The ideal candidate will lead operational coverage, handling everything from pipeline issues to proactive monitoring and implementing solutions. You'll be responsible for design, testing, and deployment of fixes while ensuring optimal cost and performance. The role requires strong technical expertise combined with excellent communication skills, as you'll be the primary point of contact for customers.

Working in a hybrid model with locations in Gurgaon and Bangalore, you'll be part of a dynamic team that manages cloud data platforms. The position offers the opportunity to work with enterprise-level data solutions while contributing to knowledge management and governance processes. The role requires working in rotational shifts (IST) and involves occasional travel (less than 10%).

This is an excellent opportunity for an experienced data professional looking to work with a leading cloud services provider. The role offers exposure to diverse technologies and the chance to solve complex data engineering challenges while working with global customers. The position requires 8-12 years of experience and offers the opportunity to work with cutting-edge cloud and data technologies.

Senior Data Engineer position at Rackspace managing cloud data platforms and analytics solutions using Tableau, Databricks, and AWS services.

Data Engineer III

Multi-cloud solutions experts providing end-to-end solutions across applications, data and security.

Rackspace, a leading multi-cloud solutions expert, is seeking a Data Engineer for their Enterprise Data Support team. This is an onsite position based in New York, requiring four days per week in-office presence to ensure effective collaboration and communication with cross-functional teams and clients.

The role demands a professional with 5-7 years of experience in data engineering or enterprise data support, who will be responsible for maintaining and optimizing enterprise data platforms. Key responsibilities include managing Jira tickets, conducting issue triage, collaborating with various teams for problem resolution, and ensuring data integrity across systems.

The ideal candidate should possess a Bachelor's degree in Information Technology, Computer Science, or related field, along with strong knowledge of data management concepts and troubleshooting abilities. Experience with BI/analytics platforms like MicroStrategy and familiarity with ThinkFolio or Aladdin platforms is advantageous.

This position offers competitive compensation ranging from $96,000 to $164,900 per year, based on geographic location and experience. The package may include additional benefits such as annual bonuses, equity awards, and an Employee Stock Purchase Plan (ESPP).

Rackspace is known for its exceptional work culture, consistently recognized as a best place to work by Fortune, Forbes, and Glassdoor. The company values diversity, unique perspectives, and maintains a strong commitment to equal employment opportunity. They seek individuals who can thrive in a collaborative environment and contribute to their mission of embracing technology and delivering the future of cloud solutions.

The role requires strong communication skills, stakeholder management abilities, and a proactive approach to problem-solving. You'll be working in a fast-paced environment where adaptability and quick learning are essential. While the position demands in-person presence, it offers the opportunity to work with cutting-edge technology and contribute to significant enterprise-level data solutions.

Data Engineer role at Rackspace focusing on enterprise data support, requiring 5-7 years experience and strong problem-solving skills.

Data Engineer – Enterprise Data Support (Onsite)

Rackspace is a technology services company providing cloud computing and hosting solutions.

Rackspace is seeking an OpenStack Cloud Engineer to join their team in Toronto, Canada. This is a crucial role within Rackspace's support infrastructure, focusing on providing advanced technical support and solutions for cloud platforms. The position combines hands-on technical expertise with customer service excellence, requiring deep knowledge of cloud technologies, particularly OpenStack, Kubernetes, and various programming languages.

The ideal candidate will serve as a technical escalation point, leading complex problem-solving initiatives and driving technological innovation. They will be responsible for managing and resolving sophisticated customer issues, which may span several days or weeks, while maintaining clear communication throughout the process. The role involves significant collaboration with cross-functional teams and requires expertise in cloud architecture, automation, and modern development practices.

This position offers an opportunity to work with cutting-edge cloud technologies while making a significant impact on customer success. The engineer will be involved in both technical implementation and strategic planning, contributing to Rackspace's position as an industry leader. They will also play a crucial role in mentoring other team members and helping shape the technical direction of the organization.

The role demands a unique combination of technical proficiency, leadership capabilities, and customer-facing skills. Working from the Toronto office, the successful candidate will be part of a dynamic environment that values innovation, problem-solving, and continuous learning. This is an excellent opportunity for a skilled technologist who enjoys tackling complex challenges and wants to work at the forefront of cloud computing technology.

OpenStack Cloud Engineer position at Rackspace in Toronto, focusing on advanced technical support, cloud architecture, and customer solution delivery.

OpenStack Cloud Engineer - CAN

Rackspace is a cloud computing and technology services company providing managed cloud services.

Rackspace is seeking a Mobile DevOps Engineer to join their engineering team in a fully remote position based in Egypt. This role combines DevOps expertise with mobile application development infrastructure, requiring a seasoned professional with 5+ years of experience. The position focuses on building and maintaining the infrastructure and CI/CD pipelines that power mobile applications, working with both iOS and Android platforms.

The ideal candidate will be responsible for managing build systems, implementing automation pipelines, and maintaining cloud infrastructure using modern tools like Terraform and Kubernetes. They'll work closely with mobile developers, QA, and cloud engineering teams to ensure seamless integration and fast delivery of mobile applications. The role requires extensive experience with cloud platforms (AWS/GCP), strong infrastructure management skills, and expertise in DevOps practices.

This is an excellent opportunity for a senior DevOps engineer interested in mobile application infrastructure to work with a leading cloud computing company. The position offers the flexibility of remote work while being part of a global team that supports enterprise-scale mobile applications. The role combines technical depth in DevOps practices with the specific challenges of mobile application delivery, making it an unique and challenging position for the right candidate.

The successful candidate will have the opportunity to work with cutting-edge technologies, implement best practices in cloud architecture, and contribute to the success of mobile application delivery at scale. They'll be part of a collaborative environment that values technical excellence, innovation, and continuous improvement in delivering mobile applications to end users.

Remote Mobile DevOps Engineer position at Rackspace, focusing on building and maintaining infrastructure and CI/CD pipelines for mobile applications, requiring 5+ years of experience.

Mobile DevOps Engineer

A full spectrum cloud integrator helping companies realize the value, efficiency, and productivity of the cloud through migration strategy, operational excellence, and immersive transformation.

Rackspace, a leading cloud integrator, is seeking a Machine Learning Operations (MLOps) Engineer to join their innovative team. This role combines deep technical expertise in machine learning engineering with infrastructure management, focusing on building and optimizing ML platforms for production environments.

The position offers an exciting opportunity to work with cutting-edge technology, particularly in the realm of machine learning and cloud computing. As an MLOps Engineer, you'll be responsible for building and maintaining sophisticated ML platforms, implementing CI/CD workflows, and ensuring the smooth deployment of ML models across various environments.

The ideal candidate will bring 3+ years of relevant experience and strong expertise in GCP services, particularly Vertex AI and related tools. You'll work with modern ML frameworks like TensorFlow, PyTorch, and Hugging Face, while also dealing with large language models and agentic AI systems. The role requires a solid foundation in computer science concepts and excellent problem-solving abilities.

What makes this role particularly attractive is the opportunity to work with a company that's at the forefront of cloud integration, helping hundreds of companies achieve their cloud transformation goals. You'll be part of a team that values innovation and professional growth, working on complex business problems that directly impact customer success.

The position offers a hybrid work arrangement based in Egypt (Giza/Alexandria), providing flexibility while maintaining collaborative opportunities. If you're passionate about machine learning, cloud technologies, and building scalable solutions that make a real difference, this role presents an excellent opportunity to advance your career while working with industry-leading technologies and practices.

MLOps Engineer position at Rackspace focusing on building and optimizing machine learning platforms using GCP, requiring expertise in ML engineering and infrastructure management.

Machine Learning Operations (MLOps) Engineer (GCP)

A full spectrum public cloud integrator helping companies realize value, efficiency, and productivity of the cloud.

Rackspace, a leading public cloud integrator, is seeking a Machine Learning Operations (MLOps) Architect to join their team in a hybrid work environment. This role combines deep technical expertise in machine learning engineering with infrastructure development, focusing on building and optimizing scalable ML platforms and inference systems.

The position requires an experienced professional with 5+ years of industry experience who can architect and implement sophisticated ML solutions using Google Cloud Platform (GCP) services. You'll be working with cutting-edge technologies, including large language models (LLMs), and will be responsible for developing end-to-end MLOps solutions that drive business value.

As an MLOps Architect, you'll lead the design and implementation of ML platforms, develop CI/CD workflows, and ensure robust model deployment and monitoring systems. You'll work closely with cross-functional teams, providing technical leadership while building scalable, cost-effective solutions. The role demands expertise in deep learning frameworks, cloud services, and MLOps best practices.

This is an excellent opportunity for someone passionate about machine learning infrastructure who wants to work with a company that values professional growth and tackles complex business challenges. You'll be at the forefront of implementing innovative ML solutions while working with a collaborative team in a flexible hybrid work environment. The position offers the chance to work with cutting-edge technology while making a significant impact on customer success through ML implementation.

Lead MLOps Architect position at Rackspace, focusing on designing and implementing ML platforms using GCP, requiring 5+ years of experience in machine learning engineering and infrastructure.

Machine Learning Operations (MLOps) Architect (GCP)

Multicloud solutions experts providing end-to-end solutions combining expertise with world's leading technologies across applications, data and security.

Rackspace, a leading multicloud solutions provider, is seeking a Database Reliability Engineer (DBRE) to join their team. This role sits at the intersection of MongoDB expertise and infrastructure automation, perfect for professionals who combine database administration skills with modern DevOps practices.

The position requires a skilled engineer who can handle the complexities of managing and optimizing MongoDB deployments at scale. You'll be working with MongoDB versions 6.0 through 8.0, implementing automation solutions, and ensuring high availability and performance of database systems. The role demands both technical depth in database management and broader DevOps capabilities, including infrastructure-as-code and CI/CD integration.

Key responsibilities include designing and maintaining high-performance MongoDB clusters, implementing monitoring and automated remediation systems, and driving backup and disaster recovery strategies. You'll work closely with SRE and DevOps teams, requiring excellent communication and collaboration skills.

The ideal candidate brings 5+ years of relevant experience, either as an SRE managing database workloads or as a developer with advanced MongoDB knowledge. While a bachelor's degree in a relevant field is preferred, practical experience and expertise are paramount. The role offers competitive compensation ranging from $116,100 to $198,400 depending on location and experience.

This remote position offers the flexibility of working from home while being part of a dynamic team that's driving innovation in cloud solutions. You'll be joining a company consistently recognized as a best place to work by Fortune, Forbes, and Glassdoor, with a strong culture of embracing technology and empowering customers.

The role requires participation in on-call rotations and occasional travel (less than 10%). While primarily remote, the position demands high attention to detail, strong problem-solving abilities, and the capability to handle moderate stress levels while maintaining system reliability and performance.

Senior Database Reliability Engineer position at Rackspace focusing on MongoDB infrastructure automation and optimization with DevOps principles.

Database Reliability Engineer (DBRE)

Rackspace is a technology services company providing cloud computing and digital transformation solutions.

Rackspace is seeking an experienced Machine Learning Architect to join their team of technologists. This role combines both architectural leadership and hands-on engineering, focusing on building AI/ML solutions at scale on cloud platforms, particularly AWS. The position requires a deep technical background in machine learning, with the ability to work directly with customers to deliver innovative solutions that align with business objectives.

The ideal candidate will lead end-to-end machine learning projects, from initial concept to production deployment, utilizing cloud-native technologies and state-of-the-art ML models. They will be responsible for designing sophisticated ML architectures, implementing MLOps practices, and staying current with the latest developments in machine learning research.

This role offers the opportunity to work with cutting-edge technologies including LLMs, transformer architectures, and modern ML frameworks. The position demands both technical excellence and strong interpersonal skills, as you'll be working directly with customers and leading teams through complex technical challenges.

As a Machine Learning Architect at Rackspace, you'll be part of a company that values innovation and technical expertise, while having the flexibility of remote work. The role offers competitive compensation and the chance to work on challenging projects that directly impact business outcomes. This is an excellent opportunity for an experienced ML professional who wants to combine architectural leadership with hands-on development in a customer-facing role.

Senior Machine Learning Architect position at Rackspace, focusing on AWS cloud solutions, requiring 10+ years of experience in ML/AI, offering remote work and competitive salary.

Rackspace Engineering Jobs

Rackspace is a leading provider of cloud computing services and IT infrastructure solutions.