2 melhores vagas de full stack developer (python) – (Contratando agora!)

Senior Site Reliability Engineer Lead
HCLTech —São Leopoldo, RS
- Ciência da Computação
- Azure
- Oracle
Há 7 dias
System Administrator
Alchemy Cloud —Belo Horizonte, MG
- Inglês
- Scripting
- Python

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Senior Site Reliability Engineer Lead
HCLTech —São Leopoldo, RS
Design, develop, and implement infrastructure & application monitoring to ensure optimal platform availability and performance.
Há 7 dias
System Administrator
Alchemy Cloud —Belo Horizonte, MG
We are looking for an experienced administrator to join our team with the main responsibility to design, develop, deploy, and operate full-stack distributed…

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Senior Site Reliability Engineer Lead

HCLTech -
São Leopoldo, RS

Candidate-se Agora

Detalhes da vaga

Há 7 dias

Qualificações

Ciência da Computação
Azure
Oracle
Node.js
Ciência da Computação
Ansible
MongoDB
E-Commerce
Banco de Dados
Resposta a Incidentes
Graduação
Terraform
Redis
Splunk
New Relic
Scripting
Angular
B2B
Análise Preditiva
Puppet
Inteligência artificial
Jenkins
Python
PowerShell
MySQL

Descrição completa da vaga

Sao Leopoldo, Rio Grande do Sul
Job Summary

As a Site Reliability Engineer at Staples, you will collaborate with a business-critical team of engineers responsible for the B2B and B2C sites performance and availability of one of the top eCommerce companies in the United States. You will be a key contributor to the success of our Public Cloud Adoption initiative. This program will drive critical technology and tangible business value utilizing the latest cloud technologies. We are looking for a highly motivated and experienced Site Reliability Engineering lead who wants to grow their career and work with cutting-edge tools and technologies. The Senior Site Reliability Engineer must have a proven track record of supporting B2B, B2C sites and their integrations, both on-premises and in the public cloud, with demonstrated expertise in related technologies. We are looking for an experienced full-stack engineer who wants to innovate, automate, and transform the enterprise.

Key Responsibilities

Duties & Responsibilities

Engage and collaborate with cross-functional Product, Engineering, Security, Operations, Infrastructure teams and Vendors to improve MTTD and MTTR
Design, develop, and implement infrastructure & application monitoring to ensure optimal platform availability and performance
Research, analyze and recommend approaches for solving challenging operational issues
Develop and maintain robust knowledge documentation for the Site Reliability Engineering team and its partners
Proactively perform analysis and identify opportunities to innovate, automate, improve efficiency, and achieve cost savings

Skill Requirements

Bachelor’s degree in Computer Science or related field with continuous and progressive experience

Minimum of 5 years of related experience working with some of these technologies:
Application Performance Management and Monitoring tools such as New Relic, AppDynamics, SiteSpect, and Datadog
Infrastructure monitoring tools like Zabbix, and Prometheus
Databases eg: MongoDB, Oracle, Couchbase, Redis, MySQL
Frameworks such as Dust/Angular, Nodejs, Springboot
Log Analytics tools like Splunk, and ELK/Elastic
Digital experience tools like Fullstory
2 to 5 years of experience with Cloud Technologies, at least half of which should be on the Microsoft Azure platform
Strong hands-on experience with infrastructure and services (systems, network, cloud technology, provisioning, storage, etc)
Must have strong experience with programming in one or more scripting languages (Python, Azure CLI, or Powershell)
Hands-on experience with tool sets related to automation, orchestration, and managing infrastructure (Terraform, Puppet, Ansible, or Jenkins)
Experience with configuring, deploying, and administering infrastructure and application monitoring tools that assist in troubleshooting performance and stability issues in a cloud environment.

Other Requirements

Awareness of AI/ML applications in observability and incident response Familiarity with LLMs and AI-driven automation tools. Understanding of AI-enhanced anomaly detection and predictive analytics

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