{"id":2084427,"url":"https://alion.io/job/endurion-kubernetes-engineer","title":"Kubernetes Engineer","company":{"id":3912628,"name":"Endurion","domain":"endurion.com","url":"https://alion.io/company/endurion","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"part_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tampa, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":202000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1473},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Fluentd","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Istio","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linkerd","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Service Mesh","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-18T13:08:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-11T19:35:05Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Kubernetes Engineer\nFull TimeProfessional\nTampa, FL, US\nPosition Summary\nThe Kubernetes Engineer supports mission-critical objectives under the referenced work order by configuring, deploying, and maintaining Kubernetes clusters tailored for IL environments (IL2, IL4, IL5) ensuring support for ESRI ArcGIS services and integration with agency infrastructure. This role optimizes containerized transformation pipelines and implements Kubernetes-native monitoring solutions.\nJob Description\nThe Kubernetes Engineer is responsible for configuring, deploying, and maintaining Kubernetes clusters for IL2/IL4/IL5 environments.\nThe position requires developing and managing Helm charts and Kubernetes operators for declarative deployment and automated scaling of ESRI services.\nEngineers will configure persistent volume claims and provision container-native storage (AWS EBS, Azure disks).\nThe role includes integrating Kubernetes-native monitoring and logging solutions (Prometheus, Fluentd, OpenTelemetry).\nRequired Qualifications and Experience\nThe contractor shall provide personnel who meet one of the following requirements:\nBachelor's degree in Computer Science, Cloud Computing, or a related field; or\nA minimum of five (5) years of professional experience in Kubernetes administration.\nCandidates must have demonstrated experience in the following areas:\nDeploying and managing Kubernetes clusters.\nTroubleshooting containerized applications.\nImplementing service mesh architectures such as Istio or Linkerd.\nUsing Infrastructure as Code (IaC) tools such as Terraform or Ansible.\nWorking with cloud infrastructure services (AWS, Azure, GCP).\nRequired Skills and Competencies\nExpertise in Kubernetes cluster orchestration and container networking.\nWorking knowledge of Helm chart deployment and CI/CD pipeline automation.\nProficiency in AWS, Azure, and GCP cloud environments.\nStrong understanding of security best practices and Kubernetes monitoring/logging tools (Prometheus, Grafana, ELK stack).\nAbility to implement service mesh technologies (Istio, Linkerd).\nEducation\nBachelor's degree in a relevant field, or an equivalent combination of education and experience.\nCertified Kubernetes Administrator (CKA) (Preferred, Not Required)\nAWS Certified DevOps Engineer - Professional (Preferred, Not Required)\nGoogle Cloud Professional Cloud DevOps Engineer (Preferred, Not Required)\nClearance Requirement\nNo clearance required for off-site duty location, or the ability to obtain and maintain the required clearance as specified by the program.\nEndurion complies with all Equal Employment Opportunity (EEO) requirements. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. Endurion will provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA). 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