Senior DevOps Engineer – Kubernetes & Cloud Lead (Remote)

AgileEngine, LLC.

Argentina

Hybrid

ARS 184,482,000 - 276,723,000

Full time

9 hours ago

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Job summary

AgileEngine is seeking a Senior/Lead DevOps Engineer to deploy and operationalize a Kubernetes-based cloud environment on AWS for a short-term project. The role focuses on security, reliability, and repeatable deployment practices across teams.

Key requirements include 5+ years in DevOps/SRE, 4+ years Kubernetes production experience, and strong AWS, GitLab CI/CD, Terraform, and Argo CD expertise. Excellent English communication and collaboration with Fortune 500 clients are essential.

Qualifications

5+ years of DevOps, SRE, Platform or Cloud Engineering experience.
4+ years deploying Kubernetes in production environments.
Demonstrated experience deploying and operating AWS-hosted applications.
Experience leading technical implementation efforts with minimal supervision.
Strong troubleshooting and root-cause analysis skills.
Strong experience with Kubernetes, EKS, and Helm.
Strong experience with Argo CD and Service Mesh technologies.
Strong experience with ingress controllers, container networking, storage and persistence, and cluster operations and upgrades.
Strong experience with AWS services, including VPC, EC2, EKS, IAM, Route 53, ALB/NLB, RDS, CloudWatch, S3, Secrets Manager, and Systems Manager Parameter Store.
Experience with GitLab, GitLab CI/CD, GitOps workflows, Infrastructure as Code, and Terraform.
Experience with Bash, Python, or Go.
Upper-intermediate English level.

Responsibilities

Lead deployment of a new cloud environment within AWS or other Cloud provider.
Ensure deployment follows security, reliability, and operational best practices.
Partner with application, infrastructure, security, and operations teams throughout the implementation.
Deploy and manage workloads running on Kubernetes platforms.
Troubleshoot cluster, networking, ingress, storage, and workload issues.
Support application modernization and containerization efforts where needed.
Implement platform standards and operational guardrails.
Design and enhance GitLab CI/CD pipelines.
Implement deployment automation and release workflows.
Establish GitOps deployment patterns using tools such as Argo CD.
Improve traceability, repeatability, and deployment reliability.
Develop and maintain infrastructure using Terraform and related tooling.
Implement modular, reusable infrastructure patterns.
Reduce manual deployment activities through automation.
Configure platform monitoring, logging, alerting, and dashboards.
Support production readiness reviews and operational runbooks.
Establish reliability practices and incident response procedures.
Identify bottlenecks and performance issues across cloud and Kubernetes environments.
Evaluate existing deployment practices and operational processes.
Document platform architecture, deployment procedures, and operational support requirements.
Produce runbooks and knowledge-transfer documentation for support teams.