9 publicaciones de empleo destacadas de cloud architect en lanús, buenos aires (¡Están contratando!)

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Infrastructure Engineer – ID #00051

Web: -
Buenos Aires, Buenos Aires

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Detalles del empleo

Tiempo completo

Descripción completa del empleo

Descripción del empleo:

Cloud-based infrastructure company that powers the blockchain ecosystem.
The mission is to be the indispensable utility that empowers companies and innovators globally to build next-generation, Web3 enabled businesses & applications using blockchain technology. The company is backed by some of the world’s best investors.
The team has over 120 people maintaining high performance global data infrastructure for amazing customers serving billions of requests daily.
Our cliente is a global remote/hybrid company HQ’d in Miami, Florida. As an Infrastructure Engineer, you’ll play a pivotal role in our rapid growth phase, taking charge of architecting, developing, and implementing core infrastructure platforms across a variety of private and public clouds, with a focus on the research, development, and deployment of traditional datacenter technologies. The role requires strong analytical skills, and must be capable of designing and implementing complex infrastructure platforms on various infrastructure platforms (bare metal, hypervisors, orchestrators), emphasizing automation and effective documentation. Based on proven DevOps practices, this opportunity empowers you to lead change at a massive scale, diving deeper than traditional cloud solutions like AWS and GCP, as you contribute to crafting a custom cloud solution tailored for web3

Responsibilities:

Research, architect, and deploy complex infrastructure systems, including bare-metal servers, hypervisors, orchestrators, virtual machines, and containers.
Support the development of standards, processes, and policies related to the design and consumption of infrastructure technologies (network, compute,storage, database).
Develop automation using Infrastructure as Code and Configuration Management principles to build, deploy, and configure infrastructure components in a consistent and reproducible manner.
Create comprehensive support documentation, and high-level-architecture diagrams.
Collaborate closely with Technical Operations and Support teams to facilitate

seamless integration and continuous improvemen

Requirements:

At least 5 years in a Senior Systems Administration, Datacenter Operations, or similar role, with a deep understanding of Linux/Unix systems and private and public cloud technologies.
Experience deploying and managing hypervisors, bare-metal servers, and traditional infrastructure components.
In-depth knowledge of infrastructure and application availability, with considerations for scalability, high-availability, fault tolerance, disaster recovery, and cost analysis / optimizations.
Experience configuring standalone and managed SQL and NoSQL database technologies (Postgres, ScyllaDB) is an asset.
Proficiency in automation and configuration management tools (CI/CD, Ansible, Terraform, Consul), observability tools (Elk, grafana, victoria metrics), and in programming languages such as Python, Go, or JavaScript. Familiarity with containerization technologies like Docker and Kubernetes.
A proactive mindset with a hands-on approach to problem-solving, capable of innovating under pressure and committed to reducing risks and technical debt.
Excellent communication skills, with the ability to collaborate effectively across teams and with various stakeholders

SALARY: 100% U$D
100% REMOTE (LATAM)
EMPLOYMENT MODE CONTRACTOR

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cloud architect empleos en lanús, buenos aires

Infrastructure Engineer – ID #00051

Principal Data Engineer - Argentina

Argentina - Especialista Virtualización

Senior Engineer – Amazon Connect/ Telephony- Hyderabad or Buenos Aires or Belgrade (Hybrid)

Senior Python Dev. (AI Engineer)

Squad Operations Senior Associate (TDR, IAM, VM, SecOps)

Staff Software Engineer (Product Systems & Platform Engineering)

AWS Platform Architect Director - Data & AI

GCP Platform Architect Director - Data & AI

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