Senior Data Services Platform Engineer

Overview 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.

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

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