Consolidated Data Analytics Platform Kubernetes Administrator

Job Number: R0239429

We are seeking a skilled Consolidated Data Analytics Platform Kubernetes Administrator to manage, sustain, and optimize containerized analytics environments supporting enterprise data operations. This role is responsible for the administration of Kubernetes-based infrastructure that underpins scalable, high-performance data platforms, enabling advanced analytics, data integration, and mission-critical decision-making.

You will apply your deep expertise in Kubernetes cluster operations, container orchestration, and platform reliability within complex, distributed environments. This position plays a key role in ensuring the availability, security, and performance of data analytics services, while supporting modernization efforts through cloud-native and Dev Sec Ops  practices.

As part of a cross‑functional team, you will collaborate with data engineers, platform architects, cybersecurity personnel, and mission stakeholders to deliver resilient and secure analytics capabilities. You'll work in cluster provisioning, workload management, system monitoring, automation, and compliance with enterprise security and governance standards.

You will leverage a proactive approach to system optimization, strong troubleshooting skills, and the ability to operate in high‑demand environments where data accessibility, integrity, and timeliness are critical to mission success.

Grow your skills at the leading edge of innovation.

Join us. The world can't wait.

• 3+ years of experience with Kubernetes deployment, configuration, and sustainment
• 2+ years of experience with cloud environments such as AWS and Azure
• Experience developing enterprise cloud‑native solutions, including in Docker, Terraform, or Git Hub
• Experience developing, managing, and securing containers
• Experience working with application development teams across the software development life cycle and creating solutions to complex problems in a collaborative team environment
• Ability to manage and prioritize tasks in a fast‑paced environment
• Secret clearance
• HS diploma or GED

• Experience creating and improving continuous automation across multiple technical stacks
• Experience with EKS
• Experience creating and improving continuous deployment tools built on Kubernetes
• Experience triaging and resolving issues related to both open source and commercial tools in public cloud environments
• Experience in DoW, Intelligence Community, or other regulated environments
• Knowledge of scripting languages such as Python or Linux shell script
• Knowledge of troubleshooting, triaging, and resolving issues with CI/CD pipeline failures or slowness
• Knowledge of Zero Trust Architecture (ZTA) principles

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Secret clearance is required.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $ (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.

This posting will close within 90 days from the Posting Date.

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