Senior Devops Engineer: Aws, Kubernetes, Remote Latam

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 volum