{"id":3134218,"url":"https://alion.io/job/kashio-devops-engineer","title":"DevOps Engineer","company":{"id":4462230,"name":"Kashio","domain":"kashio.net","url":"https://alion.io/company/kashio-net","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Factorial","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":149000,"period":"year","method":"global_role_seniority_cell","sample_n":1464},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"kubectl","optional":false},{"name":"Kubernetes","optional":false},{"name":"Loki","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"C#","optional":true}],"status":"live","first_seen_at":"2026-10-23T05:02:28Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-28T05:10:51Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"¿A quién buscamos?\nBuscamos un DevOps Engineer con experiencia sólida en infraestructura cloud, automatización, contenedores y prácticas DevOps, que impulse la eficiencia, escalabilidad, seguridad y confiabilidad de los entornos tecnológicos de Kashio. Este rol será responsable de implementar y mantener infraestructura como código, administrar servicios cloud en AWS, optimizar pipelines CI/CD, gestionar plataformas de contenedores y fortalecer las capacidades de observabilidad y monitoreo de nuestras soluciones.\nFunciones Principales\n· Implementar, administrar y optimizar servicios cloud en AWS, incluyendo EC2, EKS, ECS, S3, RDS, SQS, API Gateway y otros servicios relacionados.\n· Gestionar plataformas de contenedores utilizando Kubernetes, preferentemente EKS, así como herramientas como kubectl, Helm charts y Docker.\n· Diseñar, aprovisionar y mantener infraestructura como código mediante Terraform, CloudFormation u otras herramientas equivalentes.\n· Desarrollar y mantener módulos, variables y buenas prácticas de versionado para la gestión eficiente de recursos cloud.\n· Configurar, mantener y optimizar pipelines CI/CD en Bitbucket Pipelines, GitHub Actions, GitLab CI, Jenkins u otras herramientas similares.\n· Implementar prácticas GitOps con ArgoCD u otras herramientas relacionadas para mejorar el despliegue y control de cambios.\n· Automatizar tareas operativas mediante scripting en Bash, Python u otros lenguajes similares.\n· Implementar y gestionar herramientas de monitoreo, observabilidad, métricas, alertas y logging centralizado, tales como Prometheus, Grafana, CloudWatch, ELK o Loki.\n· Participar en la mejora continua de la seguridad, disponibilidad, escalabilidad y confiabilidad de los entornos cloud y de microservicios.\n· Colaborar con los equipos de Tecnología, Producto y Seguridad para asegurar despliegues estables, trazables y alineados a las necesidades del negocio.\nRequisitos del Puesto\nFormación Académica\nProfesional en Ingeniería de Sistemas, Ingeniería Informática, Ingeniería Electrónica, Computación, Telecomunicaciones o carreras afines.\nExperiencia Laboral\n· Mínimo 3 años de experiencia trabajando con servicios cloud de AWS.\n· Mínimo 3 años de experiencia utilizando infraestructura como código.\n· Mínimo 3 años de experiencia utilizando herramientas Atlassian como Jira, Confluence y Bitbucket.\n· Mínimo 3 años de experiencia en metodologías DevOps sobre entornos cloud.\nConocimientos Técnicos\n· AWS: EC2, EKS, ECS, S3, RDS, SQS, API Gateway, CloudWatch, VPC, IAM y Security Groups.\n· Kubernetes, EKS, kubectl, Helm charts y buenas prácticas de despliegue de workloads.\n· Docker y buenas prácticas de contenerización.\n· Terraform, CloudFormation, infraestructura como código, módulos, variables y versionado.\n· CI/CD en Bitbucket Pipelines, GitHub Actions, GitLab CI, Jenkins o herramientas similares.\n· ArgoCD, GitOps, scripting en Bash, Python o lenguajes similares para automatización.\n· Monitoreo y observabilidad con Prometheus, Grafana, CloudWatch, ELK, Loki u otras herramientas de logging centralizado.\n· Deseable conocimiento en Lambda Functions, arquitecturas serverless, prácticas SRE, SLI, SLO, SLA, telemetría e IA aplicada.\nHabilidades y Competencias\n· Comunicación efectiva y capacidad para explicar temas técnicos de manera clara.\n· Trabajo colaborativo con equipos multidisciplinarios.\n· Capacidad para compartir conocimiento y promover buenas prácticas dentro del equipo.\n· Pensamiento analítico, orientación a la mejora continua y enfoque en la solución de problemas.\n· Autonomía, responsabilidad y criterio técnico para gestionar entornos críticos.\n· Proactividad, sentido de urgencia y compromiso con la disponibilidad, seguridad y escalabilidad de las plataformas.\nIdiomas\nInglés técnico intermedio-avanzado.\n\nSi estás listo/a para impulsar la escalabilidad, automatización y confiabilidad tecnológica de Kashio, envía tu CV a 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