Wordpress Support Specialist — Remote & Impactful

Skydropx - Frenet; Buenos Aires; Remote; ARS 1,200,000 - 2,400,000; Full time

Job summary

AgileEngine is seeking a Cloud Platform Technical Lead to own the reliability and orchestration of an enterprise data platform in a regulated healthcare environment. You will lead critical incidents, guide architecture decisions, and ensure platform readiness for production workloads across AWS, EKS, Argo Workflows, Snowflake, and data ingestion tools.

The role requires strong leadership, hands-on expertise in IaC and Observability, and the ability to collaborate with cross-functional teams

Qualifications

• 6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps or SRE.
• Deep hands-on experience with AWS production environments, including architecture, security, and operations.
• Advanced experience with Kubernetes and Amazon EKS, including troubleshooting and scaling.
• Hands-on experience operating Argo Workflows or similar orchestration platforms.
• Strong Infrastructure as Code experience, preferably Terraform, plus CI/CD and release automation.
• Designing observability, logging, monitoring, alerting, and incident routing for distributed platforms.
• Ability to lead major incidents and cross-functional troubleshooting across infra, apps, and data layers.
• Experience with SLAs, runbooks, change controls, releases, and on-call responsibilities.
• Knowledge of Snowflake, S3 data lakes, SQL, dbt, and data ingestion tools like Fivetran/HVR.
• Proficiency in Python, Shell, Bash or similar for automation.
• Strong communication of tradeoffs, risks, and planning across teams.
• Experience mentoring engineers and improving engineering processes.
• Stakeholder-management and English communication proficiency.
• Availability to work LatAm window 9:00 AM–6:00 PM ET and on-call rotation.

Responsibilities

• Own the technical direction and end-to-end reliability of the managed Data Platform across AWS, EKS, Kubernetes, Argo, Snowflake, S3, Fivetran and Tableau dependencies.
• Lead the transition into managed services with platform discovery, dependency mapping, risk identification, and readiness validation.
• Establish and evolve cloud architecture principles, IaC standards, CI/CD and release practices, observability patterns, and platform priorities.
• Provide technical leadership for AWS infrastructure, Kubernetes/EKS operations, Argo Workflows, deployment automation, and access management.
• Translate business, service, security, and platform needs into actionable requirements and backlog.
• Guide cross-platform decisions involving Snowflake, dbt, Fivetran, and data-lake operations.
• Lead complex cross-platform troubleshooting and L3 escalation across infra, ingestion, orchestration, Snowflake, and Tableau.
• Direct major incident response, including impact assessment, communication, recovery, root-cause, and preventive actions.
• Ensure changes/releases include technical review, dependency analysis, validation, rollback planning, and traceability.

Skills

Cloud Engineering

Platform Engineering

DevOps

SRE

AWS production environments

Kubernetes

Amazon EKS

Argo Workflows

Infrastructure as Code

Terraform

CI/CD

Observability & monitoring

Incident management

On-call rotations

Data platforms

Snowflake

S3 data lakes

dbt

Fivetran/HVR

Python/Shell

English communication

Tools

Kubernetes

Amazon EKS

Argo Workflows

Terraform

Snowflake

dbt

Fivetran

HVR

S3

Tableau

Splunk

PagerDuty

Opsgenie

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Cloud Platform Technical Lead to own the reliability and orchestration of an enterprise data platform in a regulated healthcare environment.

MUST HAVES

• 6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps or Site Reliability Engineering.
• Deep hands-on expertise with AWS production environments , including cloud architecture, security, networking fundamentals, access management, monitoring, capacity, and operational troubleshooting.
• Advanced experience with Kubernetes and Amazon EKS , including workload deployment, cluster and application troubleshooting, observability, scaling, upgrades, access, and reliability.
• Hands-on experience operating Argo Workflows or a comparable orchestration platform supporting production data workloads.
• Strong experience with Infrastructure as Code , preferably Terraform, and with source-controlled configuration, CI/CD, release automation, and rollback practices.
• Strong experience designing and operating observability, logging, monitoring, alerting, and incident-routing solutions for distributed production platforms.
• Demonstrated ability to lead major incidents and cross-functional troubleshooting across infrastructure, applications, data pipelines, and analytics layers.
• Experience operating production platforms with defined service levels, escalation paths, runbooks, change controls, release processes, and on-call responsibilities.
• Strong working knowledge of modern data platforms, including Snowflake, S3-based data lakes, SQL, dbt, managed ingestion tools such as Fivetran or HVR, and custom data pipelines.
• Understanding of data quality, freshness, lineage, schema evolution, pipeline dependencies, backfills, and recovery procedures.
• Proficiency in Python, Shell, Bash, or comparable languages for automation and operational tooling.
• Ability to make well-reasoned architecture and operational decisions, communicate tradeoffs, estimate work, identify risks, and guide teams through change.
• Proven experience mentoring engineers, reviewing technical work, delegating ownership, and improving engineering processes across a distributed team.
• Strong stakeholder-management and communication skills, including the ability to collect requirements, explain technical risks, and present recommendations to client leaders.
• Strong written and verbal English communication skills.
• Availability to work within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed senior escalation and on-call rotation.

NICE TO HAVES

• Experience with data observability platforms such as SYNQ and operational tooling such as Splunk, PagerDuty, Opsgenie, or comparable solutions.
• Experience implementing dependency-aware alerting, selective auto-remediation, impact analysis, or other advanced reliability practices.
• Experience leading a managed service, platform operations team, Site Reliability Engineering function, or follow-the-sun support model.
• Experience in healthcare, financial services, or another regulated environment.

WHAT YOU WILL DO

• Own the technical direction and end-to-end reliability of the managed Data Platform across AWS, Amazon EKS, Kubernetes, Argo Workflows, Snowflake, S3, Fivetran and custom ingestion pipelines, and Tableau dependencies.
• Lead the technical transition into managed services, including platform discovery, dependency mapping, risk identification, knowledge transfer, shadowing, reverse shadowing, and readiness validation by platform tower.
• Establish and evolve cloud architecture principles, Infrastructure as Code standards, CI/CD and release practices, observability patterns, operational controls, and platform engineering priorities.
• Provide technical leadership for AWS infrastructure, Kubernetes and EKS operations, Argo Workflows, deployment automation, secrets and access management, platform capacity, and production reliability.
• Translate business, service, security, and platform needs into actionable technical requirements, implementation plans, and a prioritized continuous-improvement backlog.
• Guide cross-platform decisions involving Snowflake, dbt, Fivetran, custom ingestion, S3 data-lake operations, workflow orchestration, data quality, and downstream analytics dependencies.
• Lead complex cross-platform troubleshooting and L3 escalation, coordinating engineers when incidents span infrastructure, ingestion, orchestration, Snowflake, and Tableau.
• Direct technical response during major incidents, including impact assessment, stakeholder communication, recovery strategy, root-cause analysis, post-incident review, and preventive actions.
• Ensure that changes and releases include appropriate technical review, dependency analysis, validation, rollback planning, traceability, and coordination across affected platform components.
• Define and monitor reliability indicators such as availability, ingestion success, data freshness, workflow reliability, deployment outcomes, alert quality, mean time to restore service, and recurring