Senior Cloud/DevOps Engineer ID92208

AgileEngine, LLC.

Rio de Janeiro

Hybrid

BRL 602,000 - 903,000

Full time

5 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based compensation
Exciting projects
Flextime

Job summary

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

5+ years in Cloud/DevOps with hands-on AWS EKS, Kubernetes, and Argo Workflows is required, along with strong English communication. The role includes on-call duties and collaboration with Data, Security, and Analytics teams.

Qualifications

  • 5+ years of professional experience in Cloud Engineering, DevOps or Site Reliability Engineering.
  • Hands-on experience operating AWS infrastructure in production environments.
  • Advanced experience with Kubernetes and Amazon EKS, including workload operations and reliability.
  • Hands-on experience administering and troubleshooting Argo Workflows or similar platforms.
  • Strong Infrastructure as Code experience with Terraform and Git-based practices.
  • Experience building and supporting CI/CD pipelines and production releases.
  • Experience with monitoring, logging, alerting tools such as Splunk, PagerDuty, Opsgenie, or equivalents.
  • Ability to lead incident resolution and perform root-cause analysis.
  • Proficiency in Python, Shell, Bash or similar scripting languages.
  • Excellent English communication and ability to collaborate with stakeholders.

Responsibilities

  • Provide senior technical ownership for Cloud/DevOps during LatAm coverage window.
  • Operate, maintain, and improve AWS infrastructure including EKS and related services.
  • Administer Kubernetes workloads and Argo Workflows; manage deployment and reliability.
  • Define and improve IaC, CI/CD, release processes with Terraform and Git workflows.
  • Lead observability improvements and link alerts to runbooks and evidence.
  • Improve incident response with root-cause analysis and post-incident reviews.
  • Design reliability enhancements and automate repetitive operational tasks.
  • Track service metrics like availability, SLAs, and deployment outcomes.
  • Apply change-management, access-control, and audit practices for regulated environments.
  • Mentor engineers and participate in on-call rotation.

Skills

Cloud Engineering
DevOps
Kubernetes
AWS
Terraform
Argo Workflows
Python Scripting
English Communication
Incident Management
On-call & Availability

Tools

AWS
Kubernetes
Argo Workflows
Terraform

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: Flexible schedule with remote and office options.
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