Cloud Infrastructure Engineer
Motum · Chile · 2026-10-12
About this role
💻 Remote | LatAm - WE ARE EXCLUSIVELY CONSIDERING APPLICATIONS FROM INDIVIDUALS CURRENTLY RESIDING IN LATAM.
❗️ONLY ENGLISH RESUMES WILL BE CONSIDERED
🗣️ PLEASE NOTE THAT THIS ROLE REQUIRES ENGLISH PROFICIENCY (C1-C2 LEVEL)
About Motum
Motum connects experienced developers, engineers, and technical professionals with US companies building committed, long-term tech teams. Our roles are fully remote and full-time, designed for people who want real ownership, meaningful work, and the opportunity to grow inside US-based dynamic teams.
When you join Motum, you work full-time with one company, integrate directly into their team, and build a career with long-term impact. Ready to join us?
About the Client
Our client is a growing U.S.-based B2B SaaS company building software that helps enterprise teams coordinate complex operations and work with real-time data. As its customer base grows, the engineering team is investing in the cloud infrastructure behind the product: reliable systems, faster deployments, strong observability, and room to scale.
About the Role
We're looking for a hands-on Cloud Infrastructure Engineer to build and improve the production environment behind our client's SaaS platform. You'll work across AWS, Kubernetes, Terraform, CI/CD, and monitoring, partnering with application engineers to support the backend systems that power customer-facing services and automated workflows.
Your work will make releases safer and the platform faster, more secure, and more reliable as it grows.
Responsibilities
• Build and maintain cloud infrastructure on AWS, including compute, containers, networking, storage, and managed database services.
• Use Terraform to make infrastructure changes repeatable, reviewable, and consistent across environments.
• Partner with backend engineers to identify bottlenecks in APIs, databases, and background jobs, then improve performance and capacity.
• Develop CI/CD pipelines that make deployments faster and safer, with clear rollback paths when releases cause issues.
• Improve monitoring, logging, and alerting so the team can detect problems early and understand their impact.
• Respond to production incidents, investigate root causes, and turn what you learn into lasting reliability improvements.
• Strengthen infrastructure security through access controls, secrets management, backups, and regular reviews of cloud configurations.
• Plan for growth by improving scalability, disaster recovery, and cloud cost efficiency; document the systems and decisions other engineers rely on.
Qualifications
•
5+ years in cloud infrastructure, DevOps, SRE, or platform engineering, including 3+ years owning production infrastructure at a SaaS startup. Experience supporting frequent releases, growing customer usage, and evolving architecture is essential.
•
3+ years of hands-on AWS experience in production environments.
• Strong experience with Kubernetes, Terraform, and CI/CD pipelines.
• Solid understanding of servers, databases, APIs, Linux, networking, and containers.
• Experience improving application performance, availability, monitoring, and incident response.
• Ability to automate infrastructure and operational tasks using Python, Go, or a similar language.
• Sound judgment around cloud security, access controls, secrets, and data protection.
• C1-level English and the ability to collaborate directly with a U.S.-based engineering team.
We Offer
• 🏡 100% Remote - Work From Home
•
🏝️ 80 hours PTO + vacation days
• The opportunity to help shape the cloud infrastructure of a growing U.S. B2B SaaS company
• Hands-on ownership of production systems that support a customer-facing platform
• Meaningful influence over reliability, performance, security, and how the platform scales
• Direct collaboration with application engineers and engineering leaders in the U.S.
• A long-term opportunity to become an integral member of the engineering team
Originally posted on Himalayas
Skills asked for
- aws
- kubernetes
- terraform
- ci/cd
- devops
- sre
- linux
- python
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