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Platform Operations Engineer Caching Services

TEKsystems

Round Rock, TXContract$40–43/hrSeen 1w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$40–43/hr
Location
Round Rock, TX
Schedule
Contract
Work Authorization
Not specified

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Job overview

The role supports daily operations, monitoring, maintenance, and reliability of enterprise Redis and caching platforms, performing upgrades, patches, capacity adjustments, incident investigation, and automation development using Ansible and scripting, while collaborating with application and infrastructure teams.

Skills & qualifications

RequiredNice to have

Skills

LinuxRedisBashPythonCommunication & People SkillsAnsibleKubernetesContainersDockerHelmMonitoring and ObservabilityHigh AvailabilityDisaster RecoveryBackup/Recovery

Qualifications

Experience Supporting Linux-Based Systems in Enterprise EnvironmentsUnderstanding of System Administration Fundamentals Including Networking, Processes, Storage, and TroubleshootingExperience Supporting Production Applications or Infrastructure PlatformsExposure to Redis, Caching Technologies, or Similar Distributed Data PlatformsExperience With Ansible or Similar Automation and Configuration Management ToolsFamiliarity With Bash, Python, or Similar Scripting Languages

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

Description

Contract Platform Operations Engineer Caching Services Platform Engineering Team Overview Join a Platform Engineering team responsible for operating and supporting distributed caching services used by critical business applications. This role focuses on the day-to-day administration, monitoring, troubleshooting, and maintenance of Redis-based caching platforms running in enterprise environments. Working alongside senior engineers, you will help ensure platform reliability, performance, and availability while contributing to automation and operational improvements. Experience with container platforms is beneficial but not required. What youll achieve In this role, you will be responsible for the day-to-day operation, maintenance, and reliability of enterprise caching services, including Redis and related distributed caching technologies, deployed across diverse infrastructure environments. Key duties will include monitoring platform health and performance, executing planned maintenance activities such as patching, upgrades, and capacity adjustments, troubleshooting incidents, and driving root cause analysis. You will contribute to the development and enhancement of automation frameworks to streamline operational workflows, reduce manual intervention, and improve service consistency. Collaboration with engineering, application, and infrastructure teams will be essential to ensure caching services meet performance, availability, and scalability requirements across the enterprise. Key Responsibilities Support daily operations of Redis and caching platforms in production and non-production environments Monitor platform health, performance, capacity, and availability Investigate and resolve operational incidents, alerts, and service disruptions Execute maintenance activities including upgrades, patching, backups, and recovery procedures Assist with Redis configuration, deployment, and troubleshooting activities Develop and maintain operational automation using Ansible and scripting tools Create and maintain operational documentation, runbooks, and knowledge articles Collaborate with application teams to support caching-related performance and connectivity issues Participate in on-call and operational support rotations as required Support platform modernization initiatives, including containerized deployments when applicable Basic Qualifications Experience supporting Linux-based systems in enterprise environments Understanding of system administration fundamentals including networking, processes, storage, and troubleshooting Experience supporting production applications or infrastructure platforms Exposure to Redis, caching technologies, or similar distributed data platforms Experience with Ansible or similar automation and configuration management tools Familiarity with Bash, Python, or similar scripting languages Strong analytical and problem-solving skills Ability to document procedures and work effectively within operational support processes Good communication and teamwork skills Preferred Qualifications Experience with Redis administration or support Understanding of caching concepts such as key-value stores, data expiration, replication, and performance tuning Exposure to Kubernetes, containers, Docker, or Helm Experience with monitoring and observability tools Experience supporting high-availability systems Relevant certifications, coursework, or equivalent practical experience

Skills

Linux, redis, bash, python, communication & people skills, ansible, kubernetes, containers, docker, helm

Top Skills Details

Linux,redis,bash,python,communication & people skills,ansible

Additional Skills & Qualifications

Primary responsibility will be for the day-to-day operation, maintenance, and reliability of enterprise caching services, including Redis and related distributed caching technologies, deployed across diverse infrastructure environments. Key duties will include monitoring platform health and performance, executing planned maintenance activities such as patching, upgrades, and capacity adjustments, troubleshooting incidents, and driving root cause analysis. You will contribute to the development and enhancement of automation frameworks to streamline operational workflows, reduce manual intervention, and improve service consistency. Collaboration with engineering, application, and infrastructure teams will be essential to ensure caching services meet performance, availability, and scalability requirements across the enterprise Secondary Technical Skills Caching Technologies: Distributed caching platforms Cache architecture Performance optimization Monitoring & Observability: Platform health monitoring Capacity monitoring Observability tools Containers & Kubernetes: Kubernetes Docker Helm Containerized deployments High Availability Infrastructure: HA systems Disaster recovery Backup/recovery procedures Networking: Connectivity troubleshooting Infrastructure networking fundamentals

Experience Level

Intermediate Level

Job Type & Location

This is a Contract position based out of Round Rock, TX.

Pay and Benefits

The pay range for this position is $40.00 - $43.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Round Rock,TX.

Application Deadline

This position is anticipated to close on Oct 9, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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