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.

The mandatory requirements are 5+ years of experience in Cloud Engineering, DevOps, or Site Reliability Engineering, advanced hands-on experience with AWS EKS and Kubernetes, experience administering and troubleshooting Argo Workflows , and strong English communication skills.

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, with the ability to work directly with client stakeholders.

- 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 : Adaptable 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.

📌 Senior Cloud/DevOps Engineer (San Miguel de Tucumán)
🏢 AgileEngine
📍 San Miguel de Tucumán