Cloud Platform Lead - Remote, Flexible Hours, High Impact

Agileengine

Metropolitana

Híbrido

COP 287.954.000 - 415.933.000

Jornada completa

Hace 9 días
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive USD-based pay
Exciting projects
Flextime remote and office options

Descripción de la vacante

AgileEngine seeks a Cloud Platform Technical Lead to own reliability and orchestration of an enterprise data platform in a regulated healthcare environment. You will lead the technical direction across AWS, EKS, Kubernetes, Argo Workflows, Snowflake, S3, and data pipelines.

You will mentor engineers, drive IaC and CI/CD practices, and manage cross-functional incidents while aligning platform decisions with security and compliance requirements.

Formación

  • 6+ years of Cloud/Platform Engineering, DevOps or SRE experience.
  • Hands-on AWS production environments, security, networking, access management, monitoring.
  • Expert with Kubernetes/Amazon EKS, observability, scaling, upgrades, reliability.
  • Experience with Argo Workflows or similar orchestration for production data workloads.
  • Infrastructure as Code, Terraform, CI/CD, release automation and rollback practices.
  • Designing and operating observability, logging, monitoring, alerting, and incident routing.
  • Lead incidents and cross-functional troubleshooting across infra, data pipelines, analytics.
  • Definition of service levels, runbooks, change controls and on-call responsibilities.
  • Strong data platform knowledge: Snowflake, S3 data lakes, SQL, dbt, Fivetran/HVR, pipelines.
  • Proficiency in Python, Shell, Bash for automation and tooling.
  • Stakeholder management and clear communication; English fluency.
  • Latency to service windows alignment and on-call readiness.

Responsabilidades

  • Own technical direction and end-to-end reliability of the managed Data Platform across AWS, EKS, Kubernetes, Argo Workflows, Snowflake, S3, Fivetran and custom ingestion pipelines.
  • Lead transition to managed services with platform discovery, risk mapping, knowledge transfer, and readiness validation.
  • Establish and evolve IaC, CI/CD, observability patterns, and platform engineering priorities.
  • Provide technical leadership for AWS, Kubernetes, Argo Workflows, deployment automation, and access management.
  • Translate needs into actionable requirements, plans, and a continuous-improvement backlog.
  • Guide cross-platform decisions involving Snowflake, dbt, Fivetran, data-lake ops and analytics dependencies.
  • Lead complex cross-platform troubleshooting and L3 escalation across infra, ingestion, orchestration, Snowflake, Tableau.
  • Direct incident response with impact assessment, recovery strategy, root-cause analysis and post-incident review.
  • Ensure changes include review, validation, rollback planning, traceability, and cross-component coordination.
  • Define reliability metrics: availability, data freshness, workflow reliability, MTTR, and incident patterns.
  • Lead automation, observability, auto-remediation, resilience, and cloud-cost efficiency improvements.
  • Collaborate with Security, Governance, IT and stakeholders for least-privilege access and auditability.
  • Mentor engineers, review work, and build distributed-team capability.
  • Coordinate LatAm and India coverage windows with clear ownership and handoffs.

Conocimientos

Cloud Engineering
Platform Engineering
DevOps
Site Reliability Engineering
AWS
Kubernetes
Amazon EKS
Argo Workflows
Terraform
CI/CD
Observability
Python
Shell
Bash
Snowflake
S3
dbt
Fivetran
HVR

Herramientas

Kubernetes
Amazon EKS
Argo Workflows
Terraform
CI/CD
Snowflake
S3
dbt
Fivetran
HVR

Descripción del empleo

AgileEngine seeks a Cloud Platform Technical Lead to own reliability and orchestration of an enterprise data platform in a regulated healthcare environment. You will lead the technical direction across AWS, EKS, Kubernetes, Argo Workflows, Snowflake, S3, and data pipelines.

You will mentor engineers, drive IaC and CI/CD practices, and manage cross-functional incidents while aligning platform decisions with security and compliance requirements.

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