SRE DevOps / Platform Engineer, AWS

🔥 12 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 39 days.
• No salary listed.

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Wizeline

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $43M Series B on 2018-03

Consulting • Healthcare • Marketing

Wizeline is a global technology services provider specializing in digital transformation. The company offers a wide range of services including product engineering, cloud and DevOps, data and AI, and design to help companies achieve high-impact innovation. Wizeline's offerings aim to enhance operational efficiency, improve customer experiences, and accelerate business outcomes through cutting-edge AI and agile methodology. They serve a variety of industries, such as media and entertainment, financial services, and healthcare, providing tailored solutions to meet specific market needs. Their focus on AI technologies and human-centric experiences positions them at the forefront of technology-driven business evolution.

📋 Description

• 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 Terraform Infrastructure as Code best practices • Build and maintain containerized and serverless application delivery systems using Docker and AWS • Support AI-enabled applications through secure model/API integrations, evaluation workflows, observability, and deployment controls • 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 and maintain reliable corporate technology environments • Improve monitoring, alerting, dashboards, and logging with 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

• 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

• 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

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