Senior Cloud & DevOps Engineer - Remote / Flexible Hours

AgileEngine, LLC.

Cartagena de Indias

On-site

COP 291,290,000 - 453,118,000

Full time

6 days ago

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Benefits offered by this job

Professional growth

USD-based pay with budgets

Exciting projects

Flextime: remote/office options

Job summary

AgileEngine LLC is seeking a Senior Cloud/DevOps Engineer to operate and improve the cloud infrastructure behind an enterprise data platform in a regulated healthcare environment. The role requires 5+ years in Cloud Engineering or DevOps, strong AWS EKS and Kubernetes expertise, Argo Workflows experience, and excellent English communication.

LatAm business hours and on-call rotation are involved. The ideal candidate will lead CI/CD, IaC, observability, incident response, and reliability

Qualifications

5+ years of professional experience in Cloud Engineering, DevOps or SRE.
Strong hands-on experience operating AWS infrastructure in production.
Advanced experience with Kubernetes and Amazon EKS, including workload operations and reliability.
Hands-on experience administering and troubleshooting Argo Workflows or similar workflow platforms.
Strong Infrastructure as Code experience with Terraform and source-controlled practices.
Experience building, hardening, and supporting CI/CD pipelines and production release processes.
Experience with monitoring, logging, alerting and incident routing tools (e.g., Splunk, PagerDuty, Opsgenie).
Ability to lead complex incident resolution and perform root-cause analysis.
Proficiency in Python, Shell, Bash or similar scripting languages.
Ability to make well-reasoned technical decisions and drive improvements across a complex platform.
Experience mentoring engineers and collaborating with Data Engineering, Security, Governance, Analytics and stakeholders.
Strong written and verbal English communication skills and LatAm-friendly availability (9:00–18:00 ET).

Responsibilities

Provide senior technical ownership for the Cloud/DevOps service tower during LatAm coverage window.
Operate, maintain, and improve AWS infrastructure supporting the Data Platform (EKS, S3, EventBridge, SQS, API Gateway, Lambda).
Administer Kubernetes workloads and Argo Workflows (deployments, scheduling, monitoring, capacity, resiliency).
Define and improve Infrastructure as Code standards using Terraform and Git-based delivery.
Lead observability improvements linking alerts to evidence from Argo, dbt, Snowflake and runbooks.
Improve alert routing and escalations across Splunk, Opsgenie, PagerDuty and collaboration tools.
Lead or support major incident response, root-cause analysis and post-incident reviews.
Design reliability improvements including auto-remediation and dependency-aware alerting.
Track service metrics: availability, SLA, alert volumes, deployments, MTTR.
Apply change-management, access-control, secrets-management, auditability in regulated environments.
Create runbooks, procedures, architecture context and knowledge-transfer materials.
Mentor mid-level engineers and promote best practices across the team.
Participate in on-call rotation for critical incidents outside hours.