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Intermediate DevOps Engineer, AWS
Location
Germany
Posted
64 days ago
Salary
0
Seniority
Senior
Job Description
Intermediate DevOps Engineer, AWS
workidentity GmbH
• Responsible for provisioning, configuring, and managing AWS infrastructures and services. • Design and implement automation solutions for deployment and management tasks using tools such as Terraform and Ansible. • Monitor and optimize the performance of AWS resources and services. • Implement DevOps best practices to support continuous integration and continuous delivery (CI/CD) of applications and services. • Diagnose and resolve issues in the cloud infrastructure and assist in ensuring security and compliance. • Work closely with development and IT teams to promote and improve DevOps processes. • Document architectures, processes, and solutions.
Job Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent professional experience.
- Proven experience configuring and managing AWS cloud services and infrastructures.
- Deep understanding of CI/CD pipelines and experience with tools such as Jenkins, GitLab CI, or Travis CI.
- Excellent knowledge of IaC (Infrastructure as Code) and experience with tools such as Terraform or AWS CloudFormation.
- Advanced skills in Linux and/or Windows system administration.
- Programming skills in one or more of the following languages: Python, Bash, PowerShell, or Ruby.
- Strong analytical and problem-solving skills.
- Good teamwork and communication skills.
- AWS certifications are a plus.
Benefits
- A challenging and inspiring work environment in a growing company.
- The opportunity to work in an experienced team and deepen your knowledge in DevOps and AWS.
- Attractive salary package and additional benefits.
- Support for further training and AWS certifications.
- Exciting projects and the chance to contribute to shaping our cloud infrastructure.
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• Lead critical engineering efforts that drive the performance and scalability of next-generation distributed systems. • Join a highly proficient team of core engineers contributing to foundational and novel infrastructure innovations. • Engage in frequent discussions on architecture, design specs, and code reviews. • Ship quality code quickly and often, driven by a commitment to best practices.
• Atuar no monitoramento proativo da saúde dos sistemas, analisando métricas, logs e traces para identificar e antecipar possíveis problemas; • Apoiar na resposta a incidentes, colaborando com a equipe para diagnosticar e resolver problemas em ambientes de produção, com foco na redução do tempo de recuperação (MTTR); • Utilizar linguagem SQL para realizar consultas, rastrear dados e identificar inconsistências que ajudem no diagnóstico preciso dos incidentes; • Apoiar na automação de tarefas manuais e repetitivas, contribuindo para a criação e manutenção de scripts e pipelines de CI/CD; • Documentar os incidentes, as soluções aplicadas e os procedimentos operacionais em nossa base de conhecimento, garantindo o compartilhamento de informações; • Colaborar com as equipes de desenvolvimento para integrar práticas de confiabilidade desde as fases iniciais dos projetos; • Aprender e aplicar conceitos de Infraestrutura como Código (IaC) para provisionar e gerenciar a infraestrutura de forma automatizada.
DevOps Lead – AI Trainer
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• Review and refine AI-generated outputs related to infrastructure automation, CI/CD pipelines, system monitoring, cloud deployments, and practical aspects of DevOps workflows • Evaluate AI responses for technical accuracy, reliability, and compliance with real-world requirements • Draft realistic DevOps scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. DevOps engineer, developer, SRE, or stakeholder) • Identify gaps, oversights, or weak reasoning in AI-generated DevOps content
• Configure and manage AWS, Azure, and on-premise environments • Maintain Linux and Windows based server environments • Deploy and operate containerized applications using Docker Compose and Kubernetes • Automate deployments and environment setup • Set up monitoring and alerting using Azure AppInsights, Grafana dashboards, and Prometheus • Document infrastructure, findings, procedures, and implementation steps
