
51 - 200 employees
Founded 2017
💳 Fintech
☁️ SaaS
🤝 B2B
💰 $500k Seed Round - KashIO on 2021-04
Fintech • SaaS • B2B
KASHIO is a Latin American payments platform and PaaS that enables businesses to manage digital payins and payouts, automate recurring collections and intelligent dunning, and perform instant disbursements (including via Yape). It integrates with ERPs, multiple PSPs and banks, supports real-time payments, automated reconciliation and mass payouts, and provides developer tools and support for enterprise and SMB clients across sectors such as ecommerce, education and real estate. Headquartered in Peru with an office in Miami, KASHIO positions itself as a B2B SaaS for digital payments and cash flow automation.
🕒 September 21
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
👻 Ghost score 18%
🗣️🇪🇸 Spanish Required
Where this job comes from
Posted on KASHIO's careers page, not through a job board
First seen by Remote Rocketship September 21
Still open on KASHIO's site. Checked 23 minutes ago.

51 - 200 employees
Founded 2017
💳 Fintech
☁️ SaaS
🤝 B2B
💰 $500k Seed Round - KashIO on 2021-04
Fintech • SaaS • B2B
KASHIO is a Latin American payments platform and PaaS that enables businesses to manage digital payins and payouts, automate recurring collections and intelligent dunning, and perform instant disbursements (including via Yape). It integrates with ERPs, multiple PSPs and banks, supports real-time payments, automated reconciliation and mass payouts, and provides developer tools and support for enterprise and SMB clients across sectors such as ecommerce, education and real estate. Headquartered in Peru with an office in Miami, KASHIO positions itself as a B2B SaaS for digital payments and cash flow automation.
• Implement, administer, and optimize AWS cloud services, including EC2, EKS, ECS, S3, RDS, SQS, API Gateway, and other related services • Manage container platforms using Kubernetes, preferably EKS, as well as kubectl, Helm charts, and Docker • Design, provision, and maintain infrastructure as code using Terraform, CloudFormation, or other equivalent tools • Develop and maintain modules, variables, and versioning best practices for managing cloud resources • Configure, maintain, and optimize CI/CD pipelines using Bitbucket Pipelines, GitHub Actions, GitLab CI, Jenkins, or similar tools • Implement GitOps practices with ArgoCD or other related tools • Automate operational tasks through scripting in Bash, Python, or similar languages • Implement and manage monitoring, observability, metrics, alerting, and centralized logging tools such as Prometheus, Grafana, CloudWatch, ELK, or Loki • Contribute to the continuous improvement of the security, availability, scalability, and reliability of cloud and microservices environments • Collaborate with Technology, Product, and Security teams to ensure stable, traceable deployments aligned with business needs
• Degree in Systems Engineering, Computer Engineering, Electronic Engineering, Computer Science, Telecommunications Engineering, or a related field • At least 3 years of experience working with AWS cloud services • At least 3 years of experience using infrastructure as code • At least 3 years of experience using Atlassian tools such as Jira, Confluence, and Bitbucket • At least 3 years of experience with DevOps methodologies in cloud environments • Knowledge of AWS services: EC2, EKS, ECS, S3, RDS, SQS, API Gateway, CloudWatch, VPC, IAM, and Security Groups • Knowledge of Kubernetes, EKS, kubectl, Helm charts, and best practices for workload deployment • Knowledge of Docker and containerization best practices • Knowledge of Terraform, CloudFormation, infrastructure as code, modules, variables, and versioning • Knowledge of CI/CD using Bitbucket Pipelines, GitHub Actions, GitLab CI, Jenkins, or similar tools • Knowledge of ArgoCD, GitOps, and scripting in Bash, Python, or similar languages for automation • Knowledge of monitoring and observability using Prometheus, Grafana, CloudWatch, ELK, Loki, or other centralized logging tools • Familiarity with Lambda Functions, serverless architectures, SRE practices, SLI, SLO, SLA, telemetry, and applied AI is a plus • Intermediate to advanced technical English
• Remote work
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