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Wizeline

SRE DevOps, Platform Engineer – AWS

Wizeline

. Champion AI-first engineering practices using AI coding agents, intelligent automation, and AI-enabled workflows .

Posted 11/4/2026full-timeRemote • ArgentinaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AWS infrastructure management, CI/CD pipeline design, and Infrastructure as Code using Terraform. Proficient in automating IT processes and ensuring compliance with security standards such as ISO 27001 and HIPAA.

Highest-signal resume keywords
AWS Infrastructure ManagementCI/CD Pipeline DesignInfrastructure as Code (Terraform)Containerization (Docker)AI-Assisted Development Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AWS Services (ECS, EC2, Lambda)GitHub ActionsTerraformDockerScripting (Bash, Python, Ruby, Go)DatadogIncident ResponseDistributed SystemsLinuxNetworking
Soft Skills
Problem-SolvingCollaborationOwnershipCommunicationKnowledge Sharing
Tools & Technologies
GitHub ActionsTerraformDockerDatadogAI Coding Agents
Industry Keywords
DevOpsSite Reliability EngineeringPlatform EngineeringCloud EngineeringISO 27001SOC 2HIPAA

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDNSDockerEC2LinuxPythonRubyTerraformGo

About the role

Key responsibilities & impact
  • Champion AI-first engineering practices using AI coding agents, intelligent automation, and AI-enabled workflows
  • Design, build, and maintain highly available and scalable AWS infrastructure
  • Modernize CI/CD pipelines with GitHub Actions, reusable workflows, automated testing, security controls, and deployment/rollback strategies
  • Establish secure and repeatable software delivery practices
  • Drive Infrastructure as Code best practices using Terraform
  • Build and maintain containerized and serverless application delivery systems using Docker and AWS
  • Develop infrastructure and CI/CD capabilities for AI-enabled applications
  • Design and maintain corporate IT/TechOps systems, including IAM, SSO, SaaS administration, endpoint management, and employee technology lifecycle workflows
  • Automate provisioning, onboarding/offboarding, access reviews, and recurring IT processes
  • Provide advanced technical support for corporate technology environments
  • Define and improve monitoring, alerting, dashboards, and logging using Datadog or similar platforms
  • Analyze operational data to improve reliability, performance, security, and cloud cost efficiency
  • Lead incident response, root cause analysis, postmortems, and corrective actions
  • Apply security-first practices to support ISO 27001, SOC 2, HIPAA, and other regulatory requirements
  • Collaborate with Engineering, Data, Security, and business teams
  • Promote knowledge sharing through documentation, automation, playbooks, architectural discussions, and continuous improvement

Requirements

What you’ll need
  • 6+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, Cloud Engineering, Systems Engineering, or related production infrastructure roles
  • Expert-level hands-on experience with AWS infrastructure and services, particularly ECS/EC2, Lambda, API Gateway, CloudFront, Route 53, IAM, and networking
  • Advanced experience designing and managing CI/CD pipelines using GitHub Actions or similar technologies, including reusable workflows, secure authentication, automated testing, and deployment automation
  • Strong proficiency in Terraform for Infrastructure as Code (IaC), including reusable modules, testing, and environment management
  • Hands-on experience with containerization and application delivery using Docker, container registries, and AWS container services
  • Strong scripting and automation skills using at least one of Bash, Python, Ruby, or Go
  • Experience managing corporate IT/TechOps systems, including identity management, SSO/MFA, SaaS administration, endpoint management, and automated employee lifecycle processes
  • Hands-on experience with AI-assisted development tools, such as GitHub Copilot or coding agents, and familiarity with the infrastructure requirements of AI-enabled applications
  • Experience building and maintaining reliable, observable systems using Datadog or similar platforms for metrics, logs, traces, and alerting
  • Strong understanding of distributed systems, Linux, networking, DNS, security, autoscaling, and cloud-native operational patterns
  • Strong debugging, problem-solving, and incident response skills across complex application, infrastructure, and corporate technology environments
  • Ability to work independently, collaborate across multidisciplinary teams, and take ownership of diverse technical responsibilities in a fast-paced, small-company environment

Benefits

Comp & perks
  • An innovative and high-impact work environment where you can build scalable digital products
  • Strong commitment to continuous learning, professional growth, and skill advancement
  • A flexible, collaborative work culture that fosters teamwork and ownership
  • Global career opportunities across multidisciplinary technology teams
  • A vibrant global community of creators and tech leaders
  • Competitive total compensation packages and comprehensive employee benefits
  • Specific benefits are tailored based on location and contractual employment type