Cloud Platform Lead — Remote, Flexible Hours, Aws/K8S

Agileengine, Llc.; Ciudad de Mendoza; Hybrid; ARS 216,357,000 - 293,627,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime

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 the technical direction across AWS, EKS, Argo Workflows, Snowflake, S3, and Tableau, while guiding a distributed team, improving observability, and driving platform resilience and cost efficiency.

Qualifications

• 6+ years in Cloud/Platform engineering, DevOps or SRE.
• Deep hands-on AWS production environments, security, networking, access management, monitoring.
• Advanced Kubernetes and EKS experience with workload deployment and troubleshooting.
• Hands-on Argo Workflows or equivalent orchestration platform.
• Terraform and IaC with CI/CD, release automation, rollback practices.
• Observability, logging, monitoring, alerting, and incident routing for distributed platforms.
• Proven incident leadership and cross-functional troubleshooting across infra, apps, data, analytics.
• Experience with data platforms: Snowflake, S3 data lakes, dbt, Fivetran, pipelines.
• Python, Shell, Bash for automation; strong communication skills in English.
• Ability to guide teams, estimate work, and manage risks in a distributed setup.

Responsibilities

• Own the technical direction and end-to-end reliability of the managed Data Platform across AWS, EKS, Argo, Snowflake, S3, Fivetran, and Tableau.
• Lead transition into managed services with platform discovery, risk identification, knowledge transfer and readiness validation.
• Define cloud architecture principles, IaC standards, CI/CD, observability patterns and operational controls.
• Provide leadership for AWS infra, Kubernetes, Argo, deployment automation, secrets and access management.
• Translate business needs into technical requirements and a prioritized backlog.
• Guide cross-platform decisions on Snowflake, dbt, ingestion, data-lake operations and analytics dependencies.
• Lead cross-platform troubleshooting and L3 escalation during incidents spanning infra, ingestion and analytics.
• Direct technical response during major incidents with post-incident reviews and preventive actions.
• Ensure changes include review, dependency analysis, validation, rollback planning and traceability.
• Define reliability metrics: availability, ingestion success, data freshness, deployment outcomes, MTTR.
• Drive automation, observability, auto-remediation, capacity, cost efficiency, and security improvements.
• Collaborate with Security, Governance, IT and stakeholders to ensure least-privilege access and auditability.
• Mentor engineers, foster ownership, and raise technical capability across the team.
• Maintain alignment across LatAm and India coverage windows and support senior escalation on-call rotation.

Skills

Cloud engineering

Platform engineering

DevOps

SRE

Python

Shell scripting

English communication

Leadership

Tools

Terraform

Argo Workflows

Kubernetes (EKS)

CI/CD

Snowflake

Fivetran

dbt

Tableau

S3 data lake

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.

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 software engineering experience developing applications and services hosted on public cloud infrastructure. 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC) 2+ years of experience developing Agentic models ("e.g., OpenAI, Anthropic") using grasp Retrieval-Augmented Generation (RAG) and Vector databases. Proven capability of technical leadership in a global organization developing technology strategy and driving technology programs Proven capability to lead and mentor engineers in a distributed, asynchronous, follow-the-sun model.