Senior Data Services Platform Engineer
Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We’ve evolved Fanatical Support to encompass the entire customer journey — providing Fanatical Experience™ from first consultation to daily operations. Our passionate experts combine the power of proactive, always-on service and expertise with best-in-class tools and automation to deliver technology when and how our customers need it.We are seeking an experienced Senior Data Services Platform Engineer to join our Professional Services Team, focusing on designing, implementing, and managing our cloud data services platform. This role is critical to ensuring reliable, scalable, and high-performance data services across private cloud environments. The ideal candidate will have expertise in container-native storage solutions, Kubernetes, and database management at scale, with the ability to work across multiple data technologies and platforms.Discover your inner Racker - click here! Responsibilities
Design, build, and manage enterprise data services platforms and infrastructure, preferably Portworx Data Services (PDS)
Monitor platform health, performance metrics, and capacity planning across multiple data technologies
Implement and maintain backup, disaster recovery, and high availability strategies
Troubleshoot complex platform issues and coordinate resolution efforts
Ensure high uptime and meet established SLA requirements for data services
Provision and manage various data services including databases, caching layers, and message queues
Implement data security best practices, access controls, and compliance requirements
Optimize data service performance, storage utilization, and resource allocation
Manage data service lifecycle including upgrades, patches, and migrations
Support multiple data technologies (PostgreSQL, MySQL, MongoDB, Redis, Kafka, etc.)
Design and implement Infrastructure as Code (IaC) using tools like Terraform, Ansible, or Helm
Develop automation scripts (e.g. Python, Bash/Shell, PowerShell, etc.) for routine operations, deployments, and maintenance tasks
Integrate data services platform with CI/CD pipelines and development workflows
Implement monitoring and alerting solutions using tools like Prometheus, Grafana, or similar
Manage Kubernetes clusters and container orchestration for data workloads
Provide technical guidance and best practices for data service usage to cloud tenants/users
Participate in on-call rotation for critical platform support
Document processes, procedures, and architectural decisions
Collaborate with security and compliance teams to ensure regulatory adherence Requirements
Bachelor’s degree in computer science, engineering, or related field
5+ years of experience in platform engineering, DevOps, or data infrastructure administration
3+ years of experience with container-native storage solutions (Portworx preferred)
Experience managing production data services environments at scale
Solid experience with Linux-based Operating Systems (e.g. Debian/Ubuntu, Redhat, etc.) and Windows Server administration
Proven track record of implementing high-availability and disaster recovery solutions
Experience with agile development methodologies and collaborative team environments
Strong expertise in Kubernetes administration and container orchestration
Proficiency with data service administration across multiple technologies (PostgreSQL, MySQL, MongoDB, Redis, Kafka, etc.)
Solid understanding of networking, storage, and security principles in containerized environments
Proficiency in scripting languages (Python, Bash, etc.) for automation
Experience with Infrastructure as Code tools (Terraform, Ansible, Helm)
Knowledge of monitoring and observability tools Additional Skills (Good to have)
Certified Kubernetes Administrator (CKA) or similar certifications
Experience with Portworx or other container-native storage platforms
Experience with service mesh technologies (Istio, Linkerd)
Knowledge of data service performance tuning and optimization techniques
Experience with data pipeline tools and ETL processes
Familiarity with compliance frameworks (SOC2, GDPR, HIPAA)
Experience with GitOps workflows and tools like ArgoCD or Flux
Apply Now
Design, build, and manage enterprise data services platforms and infrastructure, preferably Portworx Data Services (PDS)
Monitor platform health, performance metrics, and capacity planning across multiple data technologies
Implement and maintain backup, disaster recovery, and high availability strategies
Troubleshoot complex platform issues and coordinate resolution efforts
Ensure high uptime and meet established SLA requirements for data services
Provision and manage various data services including databases, caching layers, and message queues
Implement data security best practices, access controls, and compliance requirements
Optimize data service performance, storage utilization, and resource allocation
Manage data service lifecycle including upgrades, patches, and migrations
Support multiple data technologies (PostgreSQL, MySQL, MongoDB, Redis, Kafka, etc.)
Design and implement Infrastructure as Code (IaC) using tools like Terraform, Ansible, or Helm
Develop automation scripts (e.g. Python, Bash/Shell, PowerShell, etc.) for routine operations, deployments, and maintenance tasks
Integrate data services platform with CI/CD pipelines and development workflows
Implement monitoring and alerting solutions using tools like Prometheus, Grafana, or similar
Manage Kubernetes clusters and container orchestration for data workloads
Provide technical guidance and best practices for data service usage to cloud tenants/users
Participate in on-call rotation for critical platform support
Document processes, procedures, and architectural decisions
Collaborate with security and compliance teams to ensure regulatory adherence Requirements
Bachelor’s degree in computer science, engineering, or related field
5+ years of experience in platform engineering, DevOps, or data infrastructure administration
3+ years of experience with container-native storage solutions (Portworx preferred)
Experience managing production data services environments at scale
Solid experience with Linux-based Operating Systems (e.g. Debian/Ubuntu, Redhat, etc.) and Windows Server administration
Proven track record of implementing high-availability and disaster recovery solutions
Experience with agile development methodologies and collaborative team environments
Strong expertise in Kubernetes administration and container orchestration
Proficiency with data service administration across multiple technologies (PostgreSQL, MySQL, MongoDB, Redis, Kafka, etc.)
Solid understanding of networking, storage, and security principles in containerized environments
Proficiency in scripting languages (Python, Bash, etc.) for automation
Experience with Infrastructure as Code tools (Terraform, Ansible, Helm)
Knowledge of monitoring and observability tools Additional Skills (Good to have)
Certified Kubernetes Administrator (CKA) or similar certifications
Experience with Portworx or other container-native storage platforms
Experience with service mesh technologies (Istio, Linkerd)
Knowledge of data service performance tuning and optimization techniques
Experience with data pipeline tools and ETL processes
Familiarity with compliance frameworks (SOC2, GDPR, HIPAA)
Experience with GitOps workflows and tools like ArgoCD or Flux
Apply Now