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Kansas City National Security Campus · 2 days ago

Sr Systems Administrator - Linux (Big Data/AI/OpenShift)

Kansas City, MO

Full-time

Hybrid

Senior Level

5+ years exp

Honeywell is a Fortune 100 company that invents and manufactures technologies to address critical challenges linked to global macrotrends. The Sr Systems Administrator will ensure the IT infrastructure is reliable and secure, applying advanced judgment in the evaluation and maintenance of systems software and hardware while managing big data environments.

ConsultingManufacturingMechanical EngineeringProfessional Services

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Independent ability to quickly analyze, isolate and diagnose complex problems, recommend remedial actions, and implement resolutions

Applies advanced technical methodologies to the computing infrastructure, monitor operating efficiencies, performance tuning and assist in capacity planning

Reviews, evaluates and recommends new or upgraded systems software packages and related hardware, based on established standards

Develops detailed implementation plans based on the architectural plans and complete implementation

Serves as Technical Lead on medium to large enterprise projects according to division standards and requirements

Transforms business requirements into technical architecture requirements and design application architectures, which are scalable, robust, and manageable, while balancing the price/performance

Works closely and escalates issues directly with vendors to ensure that supporting operating systems are compliant with applications, including required patch levels, hot fixes, and revisions

Implements application and database high availability techniques and application/network security concepts

Qualification

Linux administrationBig Data technologiesOpenShiftCI/CD pipelinesHadoop ecosystemInfrastructure as codeDatabase managementAI/ML workflowsTechnical leadershipProblem-solvingCommunication skills

Required

5+ years of systems administration experience and 0-2 years of project or technical consultant responsibility

Bachelor's degree in the field of Information Systems, Computer Science, or Computer Engineering, with a minimum of 24 semester hours of computer-related courses, or two additional years of direct work experience

Ability to travel up to 10% of the time

Ability to work remote, hybrid, or on-site as directed by management and is determined by the needs of the business

Regular and reliable attendance is an essential function of this job

United States Citizenship

Ability to obtain and maintain, if required for position, a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations)

Preferred

Ability to translate security requirements into innovative, repeatable solutions that resolve complex cyber security threats and harden infrastructure

Hands‑on knowledge of Red Hat Enterprise Linux (RHEL) administration, including servers, workstations, and peripheral device integration

Proficient with infrastructure‑as‑code and automation tools (e.g., Ansible, Puppet, PowerShell, Python) to provision, configure, and maintain databases, web services, and applications

Experience installing, configuring, and managing web/application servers, database clusters, backup‑and‑recovery systems, portals, firewalls, VPNs, terminal services, authentication/authorization, collaboration platforms, and load‑balancing solutions

Strong command of Hadoop‑ecosystem technologies (Spark, HDFS, Hive, Kafka, NiFi, HBase, Yarn, Zookeeper, etc.) and hands‑on implementation of the Cloudera Data Platform

Background with relational and NoSQL stores (SQL, Hive, Cassandra, MongoDB, HBase, in‑memory databases) and the ability to optimize performance and reliability

Proven expertise in designing, building, and operating end‑to‑end CI/CD pipelines (GitLab CI, Git, Ansible or equivalent), with a focus on automated testing, reliable artifact promotion, and continuous delivery

Production‑level experience with Kubernetes across multiple distributions (OpenShift, ROSA, Amazon EKS) including multi‑cluster management, policy enforcement, and monitoring

End‑to‑end ownership of OpenShift deployments (on‑prem and cloud), leveraging Advanced Cluster Management, Quay, Operators, GitOps, and Service Mesh to ensure security, scalability, and high availability

Working knowledge of AI/ML workflows, GPU‑accelerated computing, TensorFlow, and related tooling to support data‑science workloads

Ability to craft and present clear, strategic technical roadmaps that resonate with both technical teams and senior leadership