Remote Aws Cloud Engineer For Ai Code Qa & Training

Outlier; Buenos Aires; Hybrid; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects with F500 and top PM

Flextime: remote and office options

Job summary

AgileEngine is seeking a Senior Cloud/DevOps Engineer to own and improve the cloud infrastructure behind an enterprise data platform in a regulated healthcare setting. You will operate AWS/EKS, Argo Workflows, and IaC pipelines with Terraform while driving reliability and incident response.

You will mentor engineers, coordinate with Data Engineering and Security, and participate in an on-call rotation across LatAm hours.

Qualifications

• 5+ years in Cloud/DevOps or SRE in production.
• Hands-on AWS in production environments.
• Kubernetes and Amazon EKS expertise, with ops and reliability focus.
• Argo Workflows or similar orchestration experience.
• Terraform and IaC with source-controlled practices.
• CI/CD pipelines design, release processes, and automation.
• Monitoring/logging/incident tools such as Splunk, PagerDuty or similar.
• Lead complex incidents, perform root-cause analysis, preventive actions.
• Python/Shell scripting for automation.
• Strong communication in English; able to mentor peers.

Responsibilities

• Provide senior technical ownership during LatAm window, handle operations and L2/L3 escalations.
• Maintain and improve AWS infrastructure including EKS, S3, EventBridge, SQS, API Gateway, Lambda.
• Administer Kubernetes workloads and Argo Workflows; manage deployment and capacity.
• Define standards for IaC, configuration management, and CI/CD using Terraform and Git.
• Improve observability; link alerts to runbooks and data workloads.
• Optimize alert routing across Splunk, Opsgenie, PagerDuty, and Teams.
• Lead major incidents, conduct post-incident reviews, drive corrective actions.
• Design reliability improvements and automate repetitive tasks.
• Track service metrics: availability, SLA, alert volumes, MTTR.
• Maintain HIPAA/GDPR/FDA-compliant change management and auditability.
• Create runbooks, procedures, architecture context, and knowledge transfer.

Skills

5+ years experience

Strong English

Incident response

Technical decision making

Tools

AWS

Kubernetes (EKS)

Argo Workflows

Terraform

CI/CD pipelines

Splunk / PagerDuty / Opsgenie

Python / Shell scripting

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 Senior Cloud/DevOps Engineer to operate and improve the cloud infrastructure and reliability layers behind an enterprise data platform in a regulated healthcare environment.

MUST HAVES

• 5+ years of professional experience in Cloud Engineering, DevOps or Site Reliability Engineering.
• Strong hands‑on experience operating AWS infrastructure in production environments.
• Advanced experience with Kubernetes and Amazon EKS, including workload operations, troubleshooting, access, observability, capacity, and reliability.
• Hands‑on experience administering and troubleshooting Argo Workflows or comparable workflow orchestration platforms.
• Strong Infrastructure as Code experience with Terraform and source‑controlled infrastructure practices.
• Experience building, hardening, and supporting CI/CD pipelines and production release processes.
• Strong experience with monitoring, logging, alerting, and incident‑routing tools such as Splunk, PagerDuty, Opsgenie, or comparable platforms.
• Demonstrated ability to lead complex incident resolution, perform root‑cause analysis, and translate findings into preventive improvements.
• Proficiency in automation and scripting using Python, Shell, Bash, or similar languages.
• Ability to make well‑reasoned technical decisions, identify tradeoffs, estimate work, and drive improvements across a complex platform.
• Experience mentoring engineers and collaborating effectively with Data Engineering, Security, Governance, Analytics, and business stakeholders.
• 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 on‑call rotation.

NICE TO HAVES

• Experience supporting data‑platform infrastructure involving Snowflake, dbt, Fivetran, HVR, Tableau Cloud, or custom ingestion pipelines.
• Familiarity with data‑specific observability platforms such as SYNQ.
• Experience modernizing or migrating legacy orchestration and ingestion solutions such as Boomi or AWS Data Pipeline.
• Experience with service‑management and change‑control tools such as Freshservice and Jira.
• Experience operating in healthcare, life sciences, financial services, or another regulated environment.
• Familiarity with HIPAA, GDPR, FDA‑related controls, least‑privilege access, separation of duties, and audit‑ready operational practices.

WHAT YOU WILL DO

• Provide senior technical ownership for the Cloud / DevOps service tower during the LatAm coverage window, including day‑to‑day operations, complex troubleshooting, and L2/L3 escalation.
• Operate, maintain, and improve AWS infrastructure supporting the Data Platform, including Amazon EKS, S3, EventBridge, SQS, API Gateway, Lambda, and related services.
• Administer Kubernetes‑hosted workloads and Argo Workflows, including deployment, scheduling, monitoring, troubleshooting, capacity management, resiliency, and recovery.
• Define and improve standards for Infrastructure as Code, configuration management, CI/CD, release execution, rollback, and environment consistency, primarily using Terraform and Git‑based delivery practices.
• Lead the consolidation and improvement of observability across infrastructure and data workloads, linking alerts to operational evidence from Argo, dbt, Snowflake, and supporting runbooks.
• Improve alert routing and escalation workflows across tools such as Splunk, Opsgenie, PagerDuty, Microsoft Teams, and data‑specific observability platforms.
• Lead or support major incident response, root‑cause analysis, post‑incident reviews, and corrective actions, with clear communication to technical and service stakeholders.
• Design and implement reliability improvements such as selective auto‑remediation, dependency‑aware alert correlation, impact analysis, and automation of repetitive operational work.
• Track and contribute to service metrics including availability, SLA compliance, alert volumes, workflow reliability, deployment outcomes, and mean time to restore service.
• Apply disciplined change‑management, access‑control, secrets‑management, auditability, and documentation practices appropriate for a HIPAA‑, GDPR‑, and FDA‑regulated environment.
• Create and maintain runbooks, operating procedures, architecture context, recovery procedures, and knowledge‑transfer materials.
• Mentor Middle‑level engineers, review technical work, improve team practices, and promote consistent execution across the distributed team.
• Participate in the Cloud / DevOps on‑call rotation 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.