Remote Data Center Bi & Hardware Lead

Reboot Monkey

Rosario

Remote

ARS 3,000,000 - 5,500,000

Full time

8 days ago

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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 AWS/EKS, Argo Workflows, Snowflake and data ingestion pipelines, and drive platform engineering, CI/CD, and incident management.

Ideal candidates have 6+ years in cloud/platform engineering or SRE, deep AWS/Kubernetes experience, strong IaC and observability skills, and excellent stakeholder communication.

Qualifications

  • 6+ years of professional experience in Cloud/Platform engineering, DevOps or SRE.
  • Deep hands-on with AWS production environments, including architecture, security, networking and access management.
  • Advanced experience with Kubernetes and Amazon EKS, including deployment, troubleshooting and observability.
  • Hands-on experience operating Argo Workflows or similar orchestration platforms for production data workloads.
  • Strong experience with Infrastructure as Code, preferably Terraform, and CI/CD, release automation and rollback practices.
  • Experience designing and operating observability, logging, monitoring, alerting and incident-routing for distributed production platforms.
  • Ability to lead major incidents and cross-functional troubleshooting across infra, apps, data pipelines and analytics.
  • Experience operating production platforms with SLAs, runbooks, change controls, and on-call responsibilities.
  • Strong knowledge of modern data platforms including Snowflake, S3-based data lakes, SQL, dbt, and managed ingestion tools like Fivetran or HVR.
  • Understanding of data quality, freshness, lineage, schema evolution and recovery procedures.
  • Proficiency in Python, Shell, Bash or similar languages for automation.
  • Ability to communicate tradeoffs, estimate work, identify risks, and guide teams through change.
  • Experience mentoring engineers and improving engineering processes across distributed teams.
  • Strong stakeholder-management and client communication skills; English writing and speaking.
  • Willingness to work within LatAm service window (9:00 AM–6:00 PM ET) and participate in escalation/on-call rotation.

Responsibilities

  • Own the technical direction and end-to-end reliability of the managed Data Platform across AWS, EKS, Kubernetes, Argo Workflows, Snowflake, S3, Fivetran and Tableau.
  • Lead the transition into managed services, including platform discovery, risk mapping, knowledge transfer and readiness validation.
  • Define cloud architecture principles, IaC standards, CI/CD and release practices, observability patterns and platform priorities.
  • Provide technical leadership for AWS infra, Kubernetes/EKS operations, Argo Workflows, deployment automation and access management.
  • Translate business and security needs into actionable technical requirements and a prioritized backlog.
  • Guide cross-platform decisions involving Snowflake, dbt, Fivetran, ingestion pipelines, and downstream analytics.
  • Lead cross-platform troubleshooting and L3 escalation across infra, ingestion, orchestration, Snowflake and Tableau.
  • Direct technical response during major incidents: impact assessment, comms, recovery, RCA and preventive actions.
  • Ensure changes/releases include technical reviews, dependency analysis, rollback plans and traceability.
  • Define and monitor reliability indicators: availability, ingestion success, data freshness, workflow reliability, deployment outcomes and alert quality.

Skills

Cloud Engineering
Platform Engineering
DevOps
SRE
AWS
Kubernetes
Amazon EKS
Argo Workflows
Infrastructure as Code
Observability
Incident Management
CI/CD
Python
English Communication

Tools

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

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
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