Senior DevOps Engineer – LATAM

Job not on LinkedIn

🔥 0 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 16%

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Logo of AgilityFeat

AgilityFeat

11 - 50 employees

Founded 2010

🤝 B2B

🤖 Artificial Intelligence

☁️ SaaS

B2B • Artificial Intelligence • SaaS

AgilityFeat is a nearshore software development and staff-augmentation company that helps growth-stage and enterprise clients build, scale, and transfer Latin American engineering teams. They provide staff augmentation, nearshore team builds, Build-Operate-Transfer (BOT) subsidiaries, rapid MVP/POC labs, and AI/LLM integration services (including agentic AI, guardrails, and observability). The firm emphasizes timezone and cultural alignment with North America, deep engineering expertise across modern stacks, and long-term flexible engagement models for companies seeking to scale engineering capacity without vendor lock-in.

📋 Description

• Configure and manage cloud-based infrastructure for web and mobile applications, including AWS and other cloud platforms • Implement and manage CI/CD pipelines, infrastructure as code, and automated testing • Automate deployment, scaling, and monitoring of real-time applications • Establish and maintain observability systems for logging, monitoring, metrics collection, and alerting • Ensure system reliability and performance through proactive monitoring and incident response planning • Participate in daily standups with teammates and weekly demos with clients • Collaborate with development teams to optimize build processes and deployment strategies • Assist in maintaining security best practices across infrastructure and application deployments • Collaborate with a multi-disciplinary team in a client-facing role

🎯 Requirements

• 5+ years of hands-on experience implementing DevOps practices in cloud environments • Strong focus on CI/CD pipelines, Docker, Terraform, and Ansible • Proficiency with REST APIs, Webhooks, Docker/Kubernetes, and IaaS platforms in AWS and Google Cloud • Strong experience in containerization, orchestration, and automation using Docker, Kubernetes, Terraform, and Ansible • Experience with observability tools such as Prometheus, Grafana, ELK stack, CloudWatch, or Datadog • Understanding of MySQL, PostgreSQL, NoSQL, S3, and EBS • Knowledge of OSI layers, TCP/IP, DNS, and load balancing • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience • Fluent English (B2+ or above), written and spoken • Experience working in agile teams using Scrum or Kanban methodologies • Ability to work remotely with headset/camera equipment, responsiveness during working hours, a quiet workspace, and reliable internet connection • VoIP, WebRTC, or AI infrastructure experience is a plus • Experience architecting cloud infrastructure for scalable machine learning and data pipelines is a plus • Experience building and scaling infrastructure for VoIP/WebRTC applications is a plus • Experience building and scaling infrastructure for AI agents is a plus

🏖️ Benefits

• 9 paid holidays • 10 days of PTO available after 6 months (may alter slightly based on client policies) • Remote work flexibility

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