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.

Machine Learning Architect (AWS)

Rackspace is a leading cloud computing and managed services provider offering technology solutions and services.

Rackspace, a prominent player in cloud computing and managed services, is seeking a Senior Test Automation Engineer III to join their team in India. This remote position offers an exciting opportunity to work with cutting-edge technologies and contribute to the quality assurance of cloud infrastructure services.

The role demands a seasoned professional with 8+ years of experience, particularly strong in test automation using Selenium and Python. You'll be responsible for designing and implementing comprehensive test automation frameworks, working across various technology stacks including front-end, back-end, and service development. The position requires expertise in cloud platforms (AWS/Azure), modern web technologies (React/TypeScript), and DevOps practices.

As a Test Automation Engineer III, you'll be instrumental in ensuring product quality through automated testing strategies, conducting thorough API and GUI testing, and driving continuous improvement initiatives. The role offers the opportunity to work with both local and remote teams, requiring excellent communication skills and a customer-centric mindset.

The ideal candidate will bring extensive experience in test automation, cloud technologies, and modern development practices. You'll be working in a dynamic environment where you can leverage your expertise in DevOps, CI/CD pipelines, and various testing frameworks to make a significant impact on product quality and customer experience.

This position offers the flexibility of remote work and the opportunity to work with a leading technology company that's at the forefront of cloud computing and managed services. If you're passionate about quality assurance, automation, and working with cutting-edge technologies, this role provides an excellent opportunity to advance your career while contributing to meaningful projects at scale.

Senior Test Automation Engineer role at Rackspace, focusing on Selenium and Python automation, requiring 8+ years of experience with remote work options in India.

Test Automation Engineer III (Selenium and Python)

Rackspace Technology is seeking a Senior Site Reliability Engineer to join their Professional Services Center of Excellence focusing on Application Performance Monitoring Suites. This role offers an exciting opportunity to work with modern observability tools like Datadog, New Relic, AppDynamics, and Dynatrace while solving complex business problems for customers. As part of the Public Cloud - Offerings and Delivery team, you'll be instrumental in helping customers understand the connections between application performance, user experience, and business outcomes.

The position involves implementing observability solutions, building scalable systems, and maintaining robust automation to support engineering goals. You'll work with cutting-edge monitoring tools and be responsible for analyzing both metric and log data to ensure optimal system performance. The role requires a strong background in Site Reliability Engineering, DevOps practices, and extensive experience with AWS infrastructure.

Rackspace Technology is known for its exceptional work culture, consistently being recognized as a best place to work by Fortune, Forbes, and Glassdoor. The company values diversity and unique perspectives, believing they fuel innovation and enable better service to customers globally. Working at Rackspace means joining a team of 'Rackers' who are passionate about embracing technology and empowering customers.

The position offers the flexibility of remote work and the opportunity to work with a UK shift, making it ideal for candidates looking for a role with international exposure. You'll be part of a company that has a proven track record of advising customers on their business challenges, designing scalable solutions, and optimizing returns into the future.

Senior Site Reliability Engineer position at Rackspace Technology, focusing on implementing observability solutions and maintaining scalable systems with modern SRE practices.

Site Reliability Engineer - III (UK Shift)

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

Rackspace, a leading multicloud solutions provider, is seeking an experienced Machine Learning Operations (MLOPs) Architect to join their team in a remote capacity. This role represents an exciting opportunity to shape the future of ML infrastructure and deployment at a company known for its technical excellence and innovative approach to cloud solutions.

The position calls for a seasoned professional with deep expertise in Machine Learning engineering and infrastructure, particularly in building and scaling ML inference systems. The ideal candidate will bring 10+ years of hands-on experience (or 8+ years with a Master's degree) in computer science, with a strong focus on machine learning and distributed systems.

As an MLOps Architect, you'll be at the forefront of architecting and optimizing data infrastructure for cutting-edge machine learning and deep learning models. Your responsibilities will span from designing cost-effective inference systems to providing technical leadership for the engineering team. The role requires expertise in Java programming, deep learning frameworks, and cloud platforms, particularly GCP and Vertex AI.

The position offers competitive compensation ranging from $143,700 to $245,520 depending on location and experience. Working remotely, you'll be part of a company consistently recognized as a best place to work by Fortune, Forbes, and Glassdoor. This role provides an excellent opportunity to work with state-of-the-art technologies, including LLMs, while contributing to innovative solutions that help customers embrace technology and deliver the future.

The ideal candidate will possess strong communication skills, critical thinking abilities, and a proven track record of working effectively in remote settings. You'll be joining a culture that values diverse perspectives and fosters innovation, working alongside talented professionals who are passionate about delivering cutting-edge cloud solutions to customers worldwide.

Senior MLOps Architect position at Rackspace focusing on building and optimizing ML inference platforms using GCP and Java.

Machine Learning Operations (MLOPs) Architect - GCP - (US Remote)

Rackspace is a cloud computing and managed services provider offering technology solutions and services.

Rackspace is seeking a Senior NoSQL Database Engineer III specializing in MongoDB and Neo4j technologies. This role combines deep expertise in NoSQL databases with cloud platform knowledge, making it an exciting opportunity for database professionals looking to work with cutting-edge technologies. The position involves managing and optimizing database operations across cloud and on-premises environments, with a focus on performance tuning, security, and scalability.

The ideal candidate will lead database engineering and administration activities, including design, planning, configuration, and monitoring of database systems. You'll be working with various cloud platforms (AWS/Azure/GCP) and will be responsible for implementing automation, ensuring high availability, and managing disaster recovery strategies. This role offers the opportunity to work with a diverse tech stack, including MongoDB, Neo4j, and traditional RDBMS systems.

As a senior member of the team, you'll be involved in critical decision-making regarding database architecture, migration strategies, and optimization techniques. The position offers the flexibility of remote work while being part of a global team that supports Rackspace's cloud infrastructure. You'll have the chance to work with modern technologies like containerization, Infrastructure as Code, and cloud-native database services.

This role is perfect for someone who has a strong background in database administration and wants to evolve their career in the direction of cloud and NoSQL technologies. The position offers the opportunity to work with enterprise-level systems while maintaining a good work-life balance through remote work arrangements. You'll be part of a company that's at the forefront of cloud technology and digital transformation, making this an excellent opportunity for professional growth and development.

Senior NoSQL Database Engineer position at Rackspace, focusing on MongoDB and Neo4j administration with cloud platform expertise and remote work opportunity.

NOSQL Database Engineer III- (MongoDB)

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

Rackspace is seeking a Senior Data Engineer to join their Azure team in a hands-on platform engineering role. This position emphasizes consultative data engineering engagements with various stakeholders including Business Owners, Analytics teams, and Management. The role involves designing and building resilient data pipelines, architecting cloud infrastructure, and leading technical implementations of large-scale data solutions.

The ideal candidate will have extensive experience with Azure data services, strong programming skills in SQL and Python, and proven expertise in data modeling and lakehouse concepts. You'll be responsible for collaborating across teams to build scalable data-driven platforms, handling technical architecture decisions, and leading a team of engineers to deliver impactful results.

This is an excellent opportunity for an experienced data engineer looking to work with cutting-edge cloud technologies while having a significant impact on enterprise-level data solutions. The position offers a hybrid work environment with locations in both Gurgaon and Bangalore, India. You'll be part of a growing team at Rackspace, a leading managed cloud services provider, where you can apply your expertise in data engineering while working on challenging problems at scale.

The role requires a combination of technical excellence and leadership skills, as you'll be expected to not only architect and implement solutions but also guide teams and interact with stakeholders at various levels. If you're passionate about data engineering, have a strong background in Azure technologies, and enjoy solving complex data challenges, this role offers an excellent opportunity for career growth and technical leadership.

Senior Data Engineer position at Rackspace focusing on Azure data services, requiring 7+ years of experience in data engineering and expertise in cloud data solutions.

Senior Data Engineer – Azure

Rackspace is a technology services company that delivers cloud computing solutions and managed services.

Rackspace is seeking a Data Engineer (L1-L4) to join their Cloud Data Services team. This role offers a unique opportunity to work with cutting-edge cloud data platforms and technologies. The position involves managing and operating various data tools including Tableau, Databricks, AWS services, and PowerBI.

The ideal candidate will be responsible for providing Level 2 operational coverage, handling everything from troubleshooting incidents to implementing solutions. You'll work closely with customers and team members to manage and operate cloud data platforms, ensuring smooth operations and optimal performance.

Key aspects of the role include incident management, knowledge base maintenance, governance of configuration changes, and acting as a primary point of contact for customer communications. The position requires strong technical skills in data engineering tools, excellent problem-solving abilities, and superior communication skills.

This is an excellent opportunity for data professionals looking to work with enterprise-level cloud solutions. The role offers flexibility with hybrid work arrangements and the chance to work with a global team. You'll be part of a company that's at the forefront of cloud computing and data services, making impactful contributions to large-scale data operations.

The position requires a bachelor's degree in computer science or related field, along with 4-8 years of hands-on experience. You'll need to be comfortable with various data tools and platforms, SQL programming, and be willing to work in a 24x7 operational environment. This role is perfect for someone who enjoys solving complex problems, working with cutting-edge technology, and has a passion for data engineering.

Data Engineer position at Rackspace, working with cloud data platforms including Tableau, Databricks, and AWS services, requiring 4-8 years of experience and offering hybrid work arrangement.

Data Engineer - L1 - L4

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

Rackspace is seeking a Senior Site Reliability Engineer for a fixed night shift role to join their Cloud Infrastructure Services team. This position plays a crucial role in maintaining system reliability, availability, and performance for both customers and internal teams.

The role combines traditional SRE responsibilities with a strong focus on observability and monitoring. You'll be working with cutting-edge technologies including AWS services, Terraform for infrastructure as code, and various monitoring solutions like Splunk. The position requires expertise in system reliability, performance optimization, and the ability to implement robust automation solutions.

As an SRE III, you'll collaborate closely with product development and platform engineering teams to build scalable systems. Your responsibilities will include implementing monitoring tools, analyzing metrics, and proactively detecting and resolving issues before they impact customers. The role offers opportunities to mentor junior team members and contribute to establishing enterprise-wide standards and best practices.

The ideal candidate should have at least 5 years of experience in DevOps engineering roles, with strong expertise in AWS technologies, infrastructure as code, and monitoring solutions. You should be comfortable working in a fast-paced, 24x7 environment and have excellent problem-solving and communication skills.

This remote position is based in India and offers the opportunity to work with a global team while maintaining work-life balance through the fixed night shift schedule. You'll be part of a collaborative environment where your expertise will directly impact the efficiency and effectiveness of critical systems that customers rely on daily.

If you're passionate about system reliability, enjoy solving complex technical challenges, and want to work with a leading technology services company, this role offers an excellent opportunity to advance your career in site reliability engineering while making a significant impact on business operations.

Senior Site Reliability Engineer role at Rackspace focusing on system reliability, observability, and performance optimization using AWS, Terraform, and monitoring tools.

Site Reliability Engineer / Observability Engineer III (Fixed Night Shift Role)

Rackspace Technology is seeking a Senior Site Reliability Engineer to join their Professional Services Center of Excellence focusing on Application Performance Monitoring Suites. This role combines modern SRE practices with observability using tools like Datadog, New Relic, AppDynamics, and Dynatrace to create exceptional customer experiences.

As an SRE at Rackspace, you'll be at the intersection of application performance, user experience, and business outcomes. You'll work with cutting-edge observability tools to help customers understand and optimize their applications. The role involves implementing sophisticated monitoring solutions, building scalable systems, and maintaining robust automation to support engineering goals.

The ideal candidate brings 3+ years of extensive experience in cloud infrastructure (AWS EKS, Azure AKS), Kubernetes, and observability tools. You'll need strong expertise in Kafka for large-scale environments, security operations, and disaster recovery strategies. The position requires proficiency in Python, Go, and bash scripting, along with deep knowledge of monitoring tools like Prometheus, Grafana, and Datadog.

Rackspace offers a collaborative environment where you'll work with development teams to implement new features while ensuring reliability and performance standards. The company has been consistently recognized as a best place to work by Fortune, Forbes, and Glassdoor, offering an inclusive culture that values diverse perspectives and innovative thinking.

This remote position offers the opportunity to shape the future of observability engineering while working with a leading multicloud solutions provider. You'll be part of a team that embraces technology and empowers customers to accelerate their digital transformation journey.

Senior Site Reliability Engineer position at Rackspace, focusing on observability and monitoring solutions using modern SRE practices and tools like Datadog, New Relic, and AppDynamics.

Senior Site Reliability Engineer

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

Rackspace Technology, a leading multicloud solutions provider, is seeking a Principal ML OPS Engineer to join their team in a remote capacity. This role focuses on architecting, building, and optimizing ML inference platforms, requiring deep expertise in Machine Learning engineering and infrastructure. The ideal candidate will have significant experience in scaling ML inference platforms in production environments and possess exceptional communication skills.

The role involves working with cutting-edge machine learning and deep learning models, including state-of-the-art LLMs, while collaborating with cross-functional teams to deliver robust engineering solutions. The position requires strong technical leadership abilities and the capability to mentor team members.

Key technical requirements include expertise in Java programming, experience with major deep learning frameworks, and proficiency in the Apache Hadoop ecosystem. The role demands in-depth knowledge of ML model optimization techniques and LLM architectures. Candidates should have either a Bachelor's degree with 10+ years of experience or a Master's degree with 8+ years in the field.

Rackspace offers competitive compensation ranging from $191,600 to $279,000 depending on location and experience. The company is known for its positive work culture, having been recognized as a best place to work by Fortune, Forbes, and Glassdoor. They value diversity and inclusion, welcoming unique perspectives that fuel innovation and better serve their global customer base.

Principal ML OPS Engineer position at Rackspace, focusing on architecting and optimizing ML inference platforms with competitive compensation and remote work options.

Rackspace Engineering Jobs

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