Data Platform Engineer

Responsibilities

Kforce is immediately seeking an experienced Data Platform Engineer in support of our enterprise computing and technology infrastructure customer based in Austin, TX. Join a Platform Engineering team that builds and supports shared data services used across multiple applications. You will work alongside experienced engineers to support Redis caching platform and related tooling while applying your skills in automation, containers, and system operations.

You will have hands‑on experience with distributed caching technologies and have a chance to make an impact on how they are used to improve application performance, scalability, and resilience. In this role, you will help operate and maintain Redis and caching services running on virtual machines and Kubernetes, support day‑to‑day operations, learn best practices for building reliable, high‑performance data and caching platforms.

• Support deployment and maintenance of Redis and caching services across VM and Kubernetes environments
• Assist with installing, configuring, and troubleshooting Redis instances and related caching components
• Help deploy and manage workloads in Kubernetes using Helm charts
• Monitor system and cache performance, responding to alerts and escalating issues as needed
• Execute operational runbooks for upgrades, patching, and maintenance tasks
• Contribute to automation efforts using Ansible and basic scripting
• Work with team members to troubleshoot application, caching, and platform issues
• Maintain documentation for systems, procedures, and troubleshooting steps

• Foundational knowledge of Linux system administration
• Some experience working with virtual machines or server environments
• Basic understanding of Kubernetes concepts (pods, services, deployments)
• Exposure to configuration management or automation tools such as Ansible
• Familiarity with scripting (Bash, Python, or similar)
• Basic understanding of caching concepts (e.g., key‑value stores, cache invalidation, performance optimization)
• Ability to troubleshoot and learn new technologies quickly
• Good communication and teamwork skills

• Exposure to Redis or similar in‑memory or caching technologies
• Experience using Helm or deploying applications in Kubernetes
• Familiarity with monitoring or logging tools
• Understanding of basic performance tuning or scalability concepts
• Relevant coursework, certifications, or internship experience in IT or software engineering

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors such as relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

This job is not eligible for bonuses, incentives or commissions.

We offer comprehensive benefits including medical, dental, vision insurance, Health Savings Account (HSA), Flexible Spending Account (FSA), 401(k), and life, disability & accidental death & dismemberment insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.