
SRE DevOps, Platform Engineer – AWS
Posted Nov 4

Posted Nov 4
This is a fully remote position, open to applicants in Argentina.
• Advocate for AI-driven engineering methodologies by utilizing AI coding agents, intelligent automation, and AI-enhanced workflows.
• Design, construct, and sustain robust and scalable AWS infrastructure.
• Revamp CI/CD pipelines using GitHub Actions, reusable workflows, automated testing, security protocols, and deployment/rollback strategies.
• Implement secure and repeatable software delivery processes.
• Promote best practices for Infrastructure as Code through Terraform.
• Develop and maintain containerized and serverless application delivery systems utilizing Docker and AWS.
• Create infrastructure and CI/CD capabilities for AI-driven applications.
• Design and oversee corporate IT/TechOps systems, including IAM, SSO, SaaS management, endpoint oversight, and employee technology lifecycle workflows.
• Automate provisioning, onboarding/offboarding, access reviews, and recurring IT processes.
• Deliver advanced technical support for corporate technology settings.
• Define and enhance monitoring, alerting, dashboards, and logging using Datadog or similar platforms.
• Evaluate operational data to boost reliability, performance, security, and cloud cost efficiency.
• Lead incident response, root cause analysis, post-mortems, and corrective measures.
• Implement security-first practices to comply with ISO 27001, SOC 2, HIPAA, and other regulatory standards.
• Collaborate with Engineering, Data, Security, and business teams.
• Encourage knowledge sharing through documentation, automation, playbooks, architectural discussions, and continuous improvement.
• Over 6 years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, Cloud Engineering, Systems Engineering, or similar production infrastructure roles.
• Expert-level practical experience with AWS infrastructure and services, especially ECS/EC2, Lambda, API Gateway, CloudFront, Route 53, IAM, and networking.
• Advanced proficiency in designing and managing CI/CD pipelines using GitHub Actions or comparable technologies, including reusable workflows, secure authentication, automated testing, and deployment automation.
• Strong expertise in Terraform for Infrastructure as Code (IaC), including reusable modules, testing, and environment management.
• Practical experience with containerization and application delivery using Docker, container registries, and AWS container services.
• Proficient scripting and automation skills in at least one of Bash, Python, Ruby, or Go.
• Experience in managing corporate IT/TechOps systems, including identity management, SSO/MFA, SaaS administration, endpoint oversight, and automated employee lifecycle processes.
• Hands-on experience with AI-assisted development tools, such as GitHub Copilot or coding agents, and an understanding of the infrastructure needs of AI-enabled applications.
• Experience in building and maintaining reliable, observable systems using Datadog or similar platforms for metrics, logs, traces, and alerting.
• Strong knowledge of distributed systems, Linux, networking, DNS, security, autoscaling, and cloud-native operational patterns.
• Excellent debugging, problem-solving, and incident response skills across complex application, infrastructure, and corporate technology environments.
• Ability to work autonomously, collaborate across multidisciplinary teams, and take ownership of various technical responsibilities in a dynamic, small-company environment.
• An innovative and impactful work environment where you can develop scalable digital products.
• Strong dedication to continuous learning, professional development, and skill enhancement.
• A flexible, collaborative work culture that promotes teamwork and ownership.
• Global career opportunities within multidisciplinary technology teams.
• A vibrant international community of creators and technology leaders.
• Competitive total compensation packages and comprehensive employee benefits.
• Specific benefits customized based on location and employment type.
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