Ai Lead Engineer - Agentic Ai On Gcp For Growth

Evox; Rosario; Hybride; ARS 184 482 000 - 276 723 000; Plein temps

Avantages offerts par ce poste

Professional growth

Competitive compensation

Exciting projects

Flextime

Résumé du poste

AgileEngine is seeking a Senior/Lead DevOps Engineer to deploy and operationalize a new Kubernetes-based cloud environment on AWS for a short-term project. You will lead deployments, ensure security and reliability, and collaborate with cross-functional teams to manage workloads on Kubernetes.

The role requires deep Kubernetes expertise, AWS experience, and proficiency with GitOps tooling like Argo CD, Terraform, and CI/CD pipelines.

Qualifications

• 5+ years of DevOps, SRE, Platform Engineering, or Cloud Engineering experience.
• 4+ years supporting Kubernetes in production.
• 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 (VPC, EC2, EKS, IAM, Route 53, ALB/NLB, RDS, CloudWatch, S3, Secrets Manager, Systems Manager Parameter Store).
• Experience with GitLab, GitLab CI/CD, GitOps workflows, IaC, and Terraform.
• Experience with Bash, Python, or Go.

Responsabilités

• 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.
• 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.

Connaissances

DevOps leadership

Kubernetes

AWS

GitOps

Terraform

Argo CD

Go/Python/Bash

EKS

Service Mesh

CI/CD

Outils

Kubernetes

EKS

Helm

Argo CD

Service Mesh

Terraform

GitLab CI/CD

Description du poste

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/Lead DevOps Engineer to deploy and operationalize a new Kubernetes-based cloud environment on AWS for a short-term project.

MUST HAVES

• 5+ years of DevOps, SRE, Platform Engineering, or Cloud Engineering experience.
• 4+ years supporting 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.

NICE TO HAVES

• Experience with one or more of the following CNCF ecosystem technologies: Cilium, Hubble, Prometheus, Grafana, Fluent Bit, OpenTelemetry, Karpenter, Crossplane, Kyverno, Tetragon, ExternalDNS, and cert-manager.
• Experience with Backstage, Internal Developer Platforms, Self-Service Infrastructure, Golden Path Engineering, and Environment Automation.
• Experience with Robin Cloud Native Platform (Rakuten Symphony Robin).
• Experience migrating applications from on-premises environments to cloud-hosted Kubernetes.
• Experience supporting healthcare, medical device, HIPAA, or regulated environments.
• Experience integrating acquired company technology stacks into enterprise cloud platforms.
• Experience documenting operational procedures and performing technical knowledge transfer.

WHAT YOU WILL DO

• 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.
• 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.

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.