Cloud Platform Technical Lead Id92209

Agileengine; Cartagena de Indias; Híbrido; COP 447.928.000 - 575.908.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500/Top

Flextime

Descripción de la vacante

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 oversee AWS/EKS, Argo Workflows, Snowflake, S3 and Tableau dependencies, while guiding major incident response and cross-functional collaboration.

You will define cloud architecture principles, IaC standards, CI/CD practices, and observability strategies.

Formación

• 6+ years in Cloud/Platform/DevOps or SRE.
• AWS production environments and cloud architecture, security, networking, access management, monitoring.
• Kubernetes and Amazon EKS with troubleshooting, observability, scaling, upgrades.
• Hands-on with Argo Workflows or similar orchestration for production data workloads.
• IaC experience, Terraform preferred, CI/CD, release automation, rollback.
• Observability, logging, monitoring, alerting, incident-routing for distributed platforms.
• Lead incidents and cross-functional troubleshooting across infra, apps, data, analytics.
• Production platforms with SLAs, runbooks, change controls, on-call responsibilities.
• Modern data platforms: Snowflake, S3 lakes, SQL, dbt, Fivetran/HVR, pipelines.
• Data quality, freshness, lineage, schema evolution, backfills, recovery procedures.
• Python/Shell/Bash for automation and tooling.
• Architecture decisions, risk tradeoffs, estimation, and delivery planning.
• Mentoring engineers, code reviews, ownership delegation, process improvement.
• Stakeholder management and client-facing communication.
• Strong English written and verbal communication.
• Availability for LatAm service window 9:00 AM–6:00 PM ET.

Responsabilidades

• Own the technical direction and end-to-end reliability of the managed Data Platform on AWS, EKS, Kubernetes, Argo, Snowflake, S3, Fivetran and Tableau dependencies.
• Lead transition to managed services with platform discovery, risk mapping, knowledge transfer, and readiness validation.
• Define cloud architecture principles, IaC standards, CI/CD and release practices, observability patterns.
• Provide technical leadership for AWS, Kubernetes/EKS, Argo, deployment automation, secrets management, capacity and reliability.
• Translate business needs into technical requirements and a prioritized backlog.
• Guide cross-platform decisions on Snowflake, dbt, Fivetran, ingestion, S3, and analytics dependencies.
• Lead cross-platform troubleshooting and L3 escalation across infra, ingestion, orchestration, Snowflake and Tableau.
• Direct incident response, impact assessment, communication, recovery, RCA and preventive actions.
• Ensure changes/releases include reviews, dependency analysis, rollback planning, and traceability.
• Define and monitor reliability metrics like availability, ingestion success, data freshness, deployment outcomes.
• Drive automation, observability, auto-remediation, resilience, and cost-efficiency improvements.
• Collaborate with Security, Governance, Analytics, IT and stakeholders on least-privilege access and auditability.
• Review designs, challenge assumptions, and ensure secure, scalable, supportable solutions.
• Mentor seniors and peers to raise engineering capability across the team.
• Maintain alignment across LatAm and India coverage windows and structured handoffs.
• Participate in senior escalation and on-call rotation outside staffed hours.

Conocimientos

Cloud platform leadership

AWS production environments

Kubernetes & EKS

Argo Workflows

Terraform / IaC

Observability & monitoring

Incident management

On-call readiness

Snowflake & S3 data platforms

dbt & data pipelines

Fivetran / data ingestion

Python / Shell / Bash

Leadership & mentoring

Stakeholder communication

English proficiency

LatAm working hours

Herramientas

Argo Workflows

AWS

Kubernetes

Terraform

Descripción del empleo

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 incident patterns.
• Lead improvements in automation, observability, auto-remediation, platform resilience, deployment safety, performance, security, capacity management, and cloud cost efficiency.
• Partner with Security, Governance, Analytics, IT, and platform stakeholders to ensure least-privilege access, secrets management, auditability, controlled changes, and appropriate handling of regulated data.
• Review technical designs and high-impact changes, challenge assumptions, document tradeoffs, and ensure solutions remain secure, scalable, and supportable within the managed-service operating model.
• Mentor Senior and Middle-level engineers, delegate ownership effectively, improve team practices, and build consistent technical capability across the distributed team.
• Maintain alignment between the LatAm and India coverage windows through clear ownership, escalation paths, operating procedures, and structured handoffs.
• Participate in the senior escalation and on-call model for critical incidents outside staffed service hours.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

Requirements

• 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.